百晓学者学者目录

林鸿飞

大连理工大学计算机科学与技术学院

个人简介

林鸿飞,大连理工大学计算机科学与技术学院教授、博士生导师,信息检索研究室负责人。研究方向包括自然语言处理、情感分析与观点挖掘、信息检索与信息推荐、社会计算与社交媒体处理、面向生物医学文献的知识挖掘。基础方法涵盖认知语言学、机器学习与深度学习。

精选作品

期刊论文

  1. Qinyu Han, Yuanyuan Sun, Zhihao Yang, Wenfei Liu, Ling Luo, Hongfei Lin (2026). Reader comes first: A demand-oriented readability controllable summarization. Expert Systems With Applications, Vol. 306.DOI
  2. Xiaodi Hou, Xiaobo Li, Simiao Wang, Mingyu Lu, Hongfei Lin, Yijia Zhang (2026). MambaGen: Efficient visual representation learning for automatic radiology report generation. Expert Systems With Applications, Vol. 298.DOI
  3. Jingjie Zeng, Liang Yang, Ruiyang Jin, Yuanyuan Sun, Tiejun Xing, Hongfei Lin (2026). M2Metaphor: leveraging multi-modal fusion and hierarchical contrastive learning for metaphoric insights. Expert Systems With Applications, Vol. 296.DOI
  4. 帕尔哈提·吐拉江,孙媛媛,蔡艾宸,王艳华,林鸿飞(2026). 融合领域词汇扩充的低资源法律文书命名实体识别. 《计算机工程与应用》.
  5. 林原,张亚,于蒙,许侃,林鸿飞(2026). 基于预训练模型的仇恨言论检测. 《山东大学学报(理学版)》.
  6. 徐渊,徐广涛,林鸿飞,杨志豪(2026). 基于对比学习的多模态方面级别情感分析. 《中文信息学报》.
  7. 王琪尧,杨亮,林原,许侃,林鸿飞(2026). ECPE-Qwen:微调大语言模型进行零样本情绪原因对抽取. 《中文信息学报》.
  8. 吴鑫卓,侯亚伟,贾立,许侃,林原,林鸿飞(2026). 基于跨域元学习的用户冷启动推荐算法. 《山西大学学报(自然科学版)》.DOI
  9. Yingxu Li, Jingjie Zeng, Zekun Wang, Hongfei Lin, Liang Yang (2026). GLA: Grounding Large Language Models in Molecular Hierarchy for Chemical Understanding. Annual Meeting of the Association for Computational Linguistics.DOI
  10. Kelaiti Xiao, Liang Yang, Dong-Yu Zhang, Paerhati Tulajiang, Hongfei Lin (2026). Analyzing and Mitigating Bias in LLMs through Cross-Model Consensus. International Conference on Computer Supported Cooperative Work in Design.DOI
  11. Xin-Zhuo Wu, Hongbo Wang, Yuan Lin, Kan Xu, Liang Yang, Hongfei Lin (2026). Propagating Similarity, Mitigating Uncertainty: Similarity Propagation-enhanced Uncertainty for Multimodal Recommendation. IEEE International Conference on Acoustics, Speech, and Signal Processing.DOI
  12. Kelaiti Xiao, Liang Yang, Dongyu Zhang, Hongfei Lin (2026). Mitigating Model Biases via Multi-LLM Consensus Aggregation in Pun Detection. International Conference on Intelligent Computing.DOI
  13. Ze-Wen C. Bai, Rui-Yang Jin, Kai Ma, Borjigin Tala, Jun-Yu Lu, Sheng-Di Yin, Liang Yang, Yuan-Yuan Sun, Hongfei Lin (2026). DeMeme: A Semantic Decompression Framework for Fine-Grained Harmful Meme Detection. IEEE Transactions on Affective Computing.DOI
  14. Jingjie Zeng, Huayang Li, Liang Yang, Shao-Wu Zhang, Yuan-Yuan Sun, Hongfei Lin (2026). Mechanistic Insights into Deferred Semantic Drift in LLMs. Annual Meeting of the Association for Computational Linguistics.DOI
  15. Junyu Lu, Kaiyuan Liu, Kai-Chun Wang, Jing Kang, De-Yi Ji, Hailong Zhang, Lanyun Zhu, Qi Zhu, Bo Xu, Liang Yang, Hongfei Lin (2026). Whitewashing Hate, Smearing Harmless Content: Annotator-Style Rebuttal Attacks on LLM-Based Moderation.
  16. Songhuan Li, Liang Yang, Sheng-Di Yin, Qiang Zhang, Hongfei Lin (2026). dutirshlee at SemEval-2026 Task 11: Symbolic Augmentation for Content-Bias-Resistant Syllogistic Reasoning. SemEval@ACL.DOI
  17. Zekun Wang, Jingjie Zeng, Yingxu Li, Hongfei Lin, Liang Yang (2026). LOTUS: Evolving Multimodal Unlearning via Hyperbolic Entailment and Lorentz Transport. Annual Meeting of the Association for Computational Linguistics.DOI
  18. Jingjie Zeng, Huayang Li, Liang Yang, Yuan-Yuan Sun, Shao-Wu Zhang, Hongfei Lin (2026). CogEvolve: A Multimodal Benchmark for Evaluating Relational Reasoning in Semantic Extension. Annual Meeting of the Association for Computational Linguistics.DOI
  19. Luo-Ming Hu, Jingjie Zeng, Liang Yang, Hongfei Lin (2026). The Straight and Narrow: Do LLMs Possess an Internal Moral Path? arXiv.org.DOI
  20. Zhi-Xing Lu, Bo Xu, Yuan-Yuan Sun, Yuan-Yu Zhang, Paerhati Tulajiang, Hongfei Lin (2026). Geometric insights into the relationship between weight landscape and generalization. Pattern Recognition.DOI
  21. Bo Xu, Erchen Yu, Xiaokun Zhang, Junyu Lu, Linlin Zong, Hongfei Lin (2026). HateLens: Cognition-inspired contextual reasoning with dynamic cross-modal collaboration for hateful meme detection. Journal of Intelligence and Information Systems.DOI
  22. Bo Xu, Chen-Yuan Wang, Xinyu Chen, Hongfei Lin, Feng Xia (2026). MetaGPT: A Large Vision-Language Model for Meme Metaphor Understanding. AAAI Conference on Artificial Intelligence.DOI
  23. Weimin Wang, Junyu Lu, Han Wang, Xiaokun Zhang, Zewen Bai, Bo Xu, Liang Yang, Hongfei Lin (2026). Distinguishing Right from Wrong in Debates: Attribution Analysis of Chinese Harmful Memes. arXiv.org.DOI
  24. Junyu Lu, De-Yi Ji, Xuan-Yi Liu, Lanyun Zhu, Bo Xu, Liang Yang, Xian-Sheng Hua, Hongfei Lin (2026). Aligning LLM Uncertainty with Human Disagreement in Subjectivity Analysis. arXiv.org.DOI
  25. Jing Kang, Junyu Lu, Bo Xu, Hongbo Wang, Linlin Zong, Roy Ka-Wei Lee, Hongfei Lin (2026). Harder to Defend: Towards Chinese Toxicity Attacks via Implicit Enhancement and Obfuscation Rewriting. arXiv.org.DOI
  26. Junyu Lu, De-Yi Ji, Liqun Liu, Xiaokun Zhang, Youlin Wu, Roy Ka-Wei Lee, Peng Shu, Huan Yu, Jie Jiang, Bo Xu, Liang Yang, Hongfei Lin (2026). Decoding Multimodal Cues: Unveiling the Implicit Meaning Behind Hateful Videos. Annual International ACM SIGIR Conference on Research and Development in Information Retrieval.DOI
  27. Hao Li, Hongfei Lin (2026). Adverse Drug Reaction Detection on Social Media Based on Large Language Models. Information.DOI
  28. Dinghao Pan, Yuanyuan Sun, Jiru Li, Ling Luo, Jian Wang, Hongfei Lin (2026). Enhancing Large Language Models for document-level relation triple extraction via structural awareness and contrastive learning. Information Processing & Management.DOI
  29. Junliang Liu, Ling Luo, Dinghao Pan, Yiyang Kang, Yuanyuan Sun, Hongfei Lin, Lejing Yu, Huan Zhuang (2026). BioRENLI: enhancing large language models for biomedical relation extraction through preference-aligned natural language inference. Health Information Science and Systems.DOI
  30. Xiaodi Hou, X J Li, Mingyu Lu, Hai Ning Cui, Hongfei Lin, Yijia Zhang (2026). Collaborative cross-modal fusion network for medical report generation. Information Fusion.DOI
  31. Wei Zheng, Caifeng Cui, Zhenlin Zhang, Hongfei Lin (2026). Cmcl-kmse: adaptive multimodal aspect-based sentiment analysis leveraging cross-modal multi-anchor contrastive learning and knowledge-guided multi-view semantic enhancement. International Journal of Machine Learning and Cybernetics.DOI
  32. Jiru Li, Yuanyuan Sun, Bo Xu, Dinghao Pan, Ling Luo, Hongfei Lin (2026). Memory-KGC: Memory-augmented structural learning for Knowledge Graph Completion. Information Processing & Management.DOI
  33. Wei Zheng, Guoyin Li, Zhenlin Zhang, Hongfei Lin (2026). KGRA: A knowledge-guided and relation-aware model for enhanced multimodal relation extraction. The Journal of Supercomputing.DOI
  34. Dongyu Zhang, Wanqiu Liao, Weichen Hu, Hongfei Lin (2026). DRMD: Explainable Depression Detection Based on Metaphorical Conceptual Mapping. ACM Web Conference (WWW).DOI
  35. Bolin Wang, Xueyu Tang, Jiana Meng, Di Zhao, Hongfei Lin (2026). LLMs enhanced graph convolutional broad sparse fusion networks for text classification. International Journal of Machine Learning and Cybernetics.DOI
  36. Senqi Yang, Dongyu Zhang, Zihang Du, Haojia Li, Guiru Wang, Qi Wu, Wanqiu Liao, Zeqi Hao, Wei Guo, Mingshuo Pan, Hongfei Lin (2026). Multimodal metaphor understanding and generation in MLLMs: A dataset and reasoning framework. Pattern Recognition.DOI
  37. Dongyu Zhang, Wanqiu Liao, Haojia Li, Hongfei Lin (2026). ESGME: Generating metaphor explanations from event-related potential signals using large language models. Neurocomputing.DOI
  38. Paerhati Tulajiang, Jinzhong Ning, Yuanyuan Sun, Liang Yang, Yuanyu Zhang, Kelaiti Xiao, Zhixing Lu, Yijia Zhang, Hongfei Lin (2026). SEGA: Selective cross-lingual representation via sparse guided attention for low-resource multilingual named entity recognition. Information Processing & Management.DOI
  39. Xiaobo Li, Xiaodi Hou, Shilong Wang, Hongfei Lin, Yijia Zhang (2026). Relation-aware pre-trained network with hierarchical aggregation mechanism for cold-start drug recommendation. Neural Networks.DOI
  40. Association for Artificial Intelligence 2026, Xinyu Chen, Hongfei Lin, Chenyuan Wang, Feng Xia, Bo Xu (2026). MetaGPT: A Large Vision-Language Model for Meme Metaphor Understanding. Underline Science Inc..DOI
  41. Junliang Liu, Dinghao Pan, Yiyang Kang, Ling Luo, Yuanyuan Sun, Hongfei Lin (2026). ECU-BRE: NLI-Based Biomedical Relation Extraction with EC Supervision and Uncertainty-Aware Inference. Communications in computer and information science.DOI
  42. Jinzhong Ning, Paerhati Tulajiang, Yingying Le, Yijia Zhang, Yuanyuan Sun, Hongfei Lin, Haifeng Liu (2026). RPG-MoGe: Relation Prompt-Guided Multi-Order Generative Ensemble Framework for Speech Relation Extraction. IEEE Transactions on Audio Speech and Language Processing.DOI
  43. Senqi Yang, Dongyu Zhang, Wei Guo, Mingshuo Pan, Haojia Li, Liang Yang, Hongfei Lin (2026). A Benchmark Dataset and Instruction Fine-Tuning Methods for Metaphorical Comprehension and Explanation. Lecture notes in computer science.DOI
  44. Meng Zhang, Jinzhong Ning, Xiaolong Wu, Hongfei Lin, Yijia Zhang (2026). E2E-GMNER: End-to-End Generative Grounded Multimodal Named Entity Recognition.DOI
  45. Zhehuan Zhao, Ludan Zhang, Bo Xu, Yuran Zhang, Zichuan Xu, Yu Liu, Shimin Shan, Hongfei Lin (2026). TableMind: Redefining Table Reasoning With Semantics and Flexibility. IEEE Transactions on Knowledge and Data Engineering.DOI
  46. Yang Tian, Zihan Bai, Bo Xu, Zhikui Chen, Hongfei Lin (2026). A Semantic Feasibility-Constrained NLI Framework for Scientific Relation Extraction. IEEE Signal Processing Letters.DOI
  47. Xueying Li, Di Zhao, Jiana Meng, Hongfei Lin (2025). Exploring biomedical relation extraction by combining natural language inference and dual dependency trees. Expert Systems With Applications, Vol. 289.DOI
  48. Xiaobo Li, Xiaodi Hou, Fanjun Meng, Xiaokun Zhang, Mingyu Lu, Hongfei Lin, Yijia Zhang (2025). Knowledge enhanced representation learning network for drug recommendation. Information Processing & Management, Vol. 62, No. 5.DOI
  49. Zhixing Lu, Yuanyuan Sun, Zhihao Yang, Yuanyu Zhang, Paerhati Tulajiang, Haochen Sun, Hongfei Lin (2025). Improving generalization in DNNs through enhanced orthogonality in momentum-based optimizers☆. Information Processing & Management, Vol. 62, No. 4.DOI
  50. 张益嘉,尹伟鸣,林鸿飞(2025). 基于多分支图卷积推理网络的谣言检测方法研究. 《数据分析与知识发现》, Vol. 9, No. 5.下载原文
  51. 李浩,杨雨濛,赵博扬,郑朴琪,林鸿飞(2025). 高低资源下思维链增强的药物不良反应关系抽取. 《计算机科学》.
  52. 张浩,李世琪,刁宇峰,杨亮,林鸿飞,樊小超(2025). 多语言平行情感语料库的构建与研究. 《计算机科学与探索》.
  53. 张浩,张绍武,杨亮,卢俊宇,林鸿飞,徐博(2025). 基于无监督分类差异的零样本立场检测模型. 《中文信息学报》.
  54. 李明达,邸洪波,孙媛媛,王艳华,杨志豪,林鸿飞(2025). 基于法条检索的生成式法律问答研究. 《山西大学学报(自然科学版)》.DOI
  55. 李浩,邱云志,林鸿飞(2025). 面向社交媒体多特征增强的药物不良反应检测. 《中文信息学报》.
  56. 徐博,孙晋辰,林鸿飞,宗林林(2025). 一种注意力引导知识增强的事件因果关系识别方法. 《中文信息学报》.
  57. 张洪通,王健,徐博,杨亮,林鸿飞(2025). 融合情绪标签和原型网络的对话情绪识别. 《大连理工大学学报》.
  58. Bo Xu, Yicen Tian, Xiaokun Zhang, Erchen Yu, Dailin Li, Linlin Zong, Hongfei Lin (2025). Reinforcement Learning-Driven Generative Retrieval with Semantic-aligned Multi-Layer Identifiers. International Conference on Information and Knowledge Management.DOI
  59. Xiaokun Zhang, Bo Xu, Fenglong Ma, Zhi-Zheng Wang, Liang Yang, Hongfei Lin (2025). Rethinking Contrastive Learning in Session-based Recommendation. Pattern Recognition.DOI
  60. Xiaokun Zhang, Bo Xu, Chen-Liang Li, Bowei He, Hongfei Lin, Chen Ma, Fenglong Ma (2025). A Survey on Side Information-Driven Session-Based Recommendation: From a Data-Centric Perspective. IEEE Transactions on Knowledge and Data Engineering.DOI
  61. Haoxi Zhan, Youlin Wu, Jian Ding, Bo Xu, Liang Yang, Hongfei Lin (2025). Case-Based Reasoning in Generative Agents: Review and Prospect. International Conference on Case-Based Reasoning.DOI
  62. Jingjie Zeng, Liang Yang, Zekun Wang, Yuan-Yuan Sun, Hongfei Lin (2025). Sheep's Skin, Wolf's Deeds: Are LLMs Ready for Metaphorical Implicit Hate Speech? Annual Meeting of the Association for Computational Linguistics.DOI
  63. Zekun Wang, Jingjie Zeng, Yingxu Li, Liang Yang, Hongfei Lin (2025). DUTir at SemEval-2025 Task 4: Optimized Fine-Tuning of Linear Layers for Balanced Knowledge Forgetting and Retention. SemEval@ACL.
  64. Haohao Zhu, Junyu Lu, Zeyuan Zeng, Zewen Bai, Xiaokun Zhang, Liang Yang, Hongfei Lin (2025). Commonality and Individuality! Integrating Humor Commonality with Speaker Individuality for Humor Recognition. Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL).DOI
  65. Junyu Lu, Bo Xu, Xiaokun Zhang, Hao Zhu, Kai-Chun Wang, Liang Yang, Hongfei Lin (2025). Is Having Rationales Enough? Rethinking Knowledge Enhancement for Multimodal Hateful Meme Detection. Annual International ACM SIGIR Conference on Research and Development in Information Retrieval.DOI
  66. Qi Yang, Jingjie Zeng, Liang Yang, Kai Ma, Hongfei Lin (2025). Sarcasm-R1: Enhancing Sarcasm Detection through Focused Reasoning. Conference on Empirical Methods in Natural Language Processing.DOI
  67. Youlin Wu, Yuan-Yuan Sun, Xiaokun Zhang, Hao-Xi Zhan, Bo Xu, Liang Yang, Hongfei Lin (2025). IP2: Entity-Guided Interest Probing for Personalized News Recommendation. ACM Conference on Recommender Systems.DOI
  68. Kelaiti Xiao, Liang Yang, Paerhati Tulajiang, Dongyu Zhang, Hongfei Lin (2025). VisualQuest: A Benchmark for Abstract Visual Reasoning in MLLMs. Chinese Conference on Pattern Recognition and Computer Vision.DOI
  69. Zewen Bai, Liang Yang, Sheng-Di Yin, Yuan-Yuan Sun, Hongfei Lin (2025). Fine-Grained Chinese Hate Speech Understanding: Span-Level Resources, Coded Term Lexicon, and Enhanced Detection Frameworks. arXiv.org.DOI
  70. Bo Zhang, Junyu Lu, Liang Yang, Bo Xu, Hongfei Lin (2025). CADA: A Counterfactual Adversarial Data Augmentation Framework for Low-Resource Hate Speech Detection. Natural Language Processing and Chinese Computing.DOI
  71. Yun-Zhong Qiu, Bo Zhang, Hao Zhu, C. Min, Haifeng Liu, Tongxuan Zhang, Liang Yang, Hongfei Lin (2025). Dynamic Knowledge-Aware LLM for Adverse Drug Reaction Entity Recognition. International Symposium on Bioinformatics Research and Applications.DOI
  72. Zewen Bai, Yuan-Yuan Sun, C. Min, Junyu Lu, Hao Zhu, Liang Yang, Hongfei Lin (2025). Intuition meets analytics: Reasoning implicit aspect-based sentiment quadruplets with a dual-system framework. Knowledge-Based Systems.DOI
  73. Kai Ma, Junyu Lu, Qi Yang, Jingjie Zeng, Bo Xu, Liang Yang, Hongfei Lin (2025). FTAF: Facilitating Fine-Grained Toxic Language Detection via Text Rewriting and Relationship Chain Learning. Natural Language Processing and Chinese Computing.DOI
  74. Yingzhou Zhao, Bowen Guan, Liang Yang, Hongfei Lin (2025). Zhoumou at SemEval-2025 Task 1: Leveraging Multimodal Data Augmentation and Large Language Models for Enhanced Idiom Understanding. SemEval@ACL.
  75. Youlin Wu, Hao-Xi Zhan, Yuan-Yuan Sun, Hao Zhu, Bo Xu, Liang Yang, Hongfei Lin (2025). Clicking, Fast and Slow: Towards Intuitive and Analytical Behaviors Modeling for Recommender Systems. Annual Meeting of the Cognitive Science Society.
  76. Junyu Lu, Kai Ma, Kai-Chun Wang, Kelaiti Xiao, Roy Ka-Wei Lee, Bo Xu, Liang Yang, Hongfei Lin (2025). Is LLM an Overconfident Judge? Unveiling the Capabilities of LLMs in Detecting Offensive Language with Annotation Disagreement. Annual Meeting of the Association for Computational Linguistics.DOI
  77. Zewen Bai, Yuan-Yuan Sun, Sheng-Di Yin, Junyu Lu, Jingjie Zeng, Hao Zhu, Liang Yang, Hongfei Lin (2025). STATE ToxiCN: A Benchmark for Span-level Target-Aware Toxicity Extraction in Chinese Hate Speech Detection. Annual Meeting of the Association for Computational Linguistics.DOI
  78. Huayang Li, Jingjie Zeng, Shao-Wu Zhang, Liang Yang, Yuan-Yuan Sun, Kan Xu, Hongfei Lin (2025). How Do Shared Experts Dynamically Adapt to Routing Constraints in Mixture-of-Experts? Natural Language Processing and Chinese Computing.DOI
  79. Sheng-Di Yin, Zekun Wang, Liang Yang, Hongfei Lin (2025). DUTJBD at SemEval-2025 Task 3: A Range of Approaches for Predicting Hallucination Generation in Models. SemEval@ACL.
  80. Zekun Wang, Jingjie Zeng, Yingxu Li, Liang Yang, Hongfei Lin (2025). Human-Inspired Obfuscation for Model Unlearning: Local and Global Strategies with Hyperbolic Representations. Conference on Empirical Methods in Natural Language Processing.DOI
  81. Kelaiti Xiao, Liang Yang, Dongyu Zhang, Paerhati Tulajiang, Hongfei Lin (2025). Visual Puns from Idioms: An Iterative LLM-T2IM-MLLM Framework. arXiv.org.DOI
  82. Jingjie Zeng, Huayang Li, Liang Yang, Yuan-Yuan Sun, Hongfei Lin (2025). It's Not Bragging If You Can Back It Up: Can LLMs Understand Braggings? Annual Meeting of the Association for Computational Linguistics.DOI
  83. Paerhati Tulajiang, Yuan-Yuan Sun, Yuan-Yu Zhang, Yingying Le, Kelaiti Xiao, Hongfei Lin (2025). A Bilingual Legal NER Dataset and Semantics-Aware Cross-Lingual Label Transfer Method for Low-Resource Languages. ACM Trans. Asian Low Resour. Lang. Inf. Process..DOI
  84. Liang Yang, Qi Yang, Jingjie Zeng, Tao Peng, Zhihao Yang, Hongfei Lin (2025). Dialogue sentiment analysis based on dialogue structure pre-training. Multimedia Systems.DOI
  85. Shao-Wu Zhang, Pengyuan Du, Xijun Cui, Hongfei Lin, Liang Yang (2025). Fine-grained sentiment analysis based on cross-modal information translation. Multimedia Systems.DOI
  86. Qiyao Wang, Hongbo Wang, Jianguo Huang, Shule Lu, Yuan Lin, Kan Xu, Liang Yang, Hongfei Lin (2025). IPEval: A Bilingual Intellectual Property Agency Consultation Evaluation Benchmark for Large Language Models. Journal of Artificial Intelligence Research.DOI
  87. Bo Xu, Liang Li, Jun-Long Wang, Xuening Qiao, Erchen Yu, Yiming Qian, Linlin Zong, Hongfei Lin (2025). Unveiling Maternity and Infant Care Conversations: A Chinese Dialogue Dataset for Enhanced Parenting Support. International Joint Conference on Artificial Intelligence.DOI
  88. Yicen Tian, Erchen Yu, Yanan Wang, Dailin Li, Jiaqi Yao, Hongfei Lin, Linlin Zong, Bo Xu (2025). DUTIR831 at SemEval-2025 Task 5: A Multi-Stage LLM Approach to GND Subject Assignment for TIBKAT Records. SemEval@ACL.
  89. Jiaqi Yao, Erchen Yu, Yicen Tian, Yiyang Kang, Jiayi Zhang, Hongfei Lin, Linlin Zong, Bo Xu (2025). 111DUT at SemEval-2025 Task 8:Hierarchical Chain-of-Thought Reasoning and Multi-Model Deliberation for Robust TableQA. SemEval@ACL.
  90. Bo Xu, Erchen Yu, Jiahui Zhou, Hongfei Lin, Linlin Zong (2025). HyperHatePrompt: A Hypergraph-based Prompting Fusion Model for Multimodal Hate Detection. International Conference on Computational Linguistics.
  91. Bo Zhang, Hui Ma, Dailin Li, Jian Ding, Jian Wang, Bo Xu, Hongfei Lin (2025). Efficient Tuning of Large Language Models for Knowledge-Grounded Dialogue Generation. Transactions of the Association for Computational Linguistics.DOI
  92. Di Zhao, Wenxuan Mu, Xiangxing Jia, Shuang Liu, Yonghe Chu, Jiana Meng, Hongfei Lin (2025). Few-shot biomedical NER empowered by LLMs-assisted data augmentation and multi-scale feature extraction. BioData Mining.DOI
  93. Xin Dong, Di Zhao, Jiana Meng, Bocheng Guo, Hongfei Lin (2025). SyRACT: zero-shot biomedical document-level relation extraction with synergistic RAG and CoT. Bioinformatics.DOI
  94. Juntao Li, Ling Luo, Tengxiao Lv, Chao Liu, Jiewei Qi, Zhihao Yang, Jian Wang, Hongfei Lin (2025). Instruction Fine-Tuning of Large Language Models for Traditional Chinese Medicine. Communications in computer and information science.DOI
  95. Xin Zou, Chuhan Wang, Dailin Li, Yanan Wang, Jian Wang, Hongfei Lin (2025). Empowering Persuasion Detection in Slavic Texts through Two-Stage Generative Reasoning.DOI
  96. Yingpeng Ning, Yuanyuan Sun, Ling Luo, Yanhua Wang, Yuchen Pan, Hongfei Lin (2025). MedTrust-RAG: Evidence Verification and Trust Alignment for Biomedical Question Answering. IEEE International Conference on Bioinformatics and Biomedicine (BIBM).DOI
  97. Weiru Fu, Yunzhi Qiu, Ling Luo, Yi-Xiang Wang, Hongfei Lin (2025). CAKADE: Improving ADE Detection on Social Media with LLMs via Counterfactual Augmentation and Knowledge-Enhanced Instruction Tuning. IEEE International Conference on Bioinformatics and Biomedicine (BIBM).DOI
  98. Tengxiao Lv, Ling Luo, Juntao Li, Yanhua Wang, Yuchen Pan, Chao Liu, Yanan Wang, Yan Jiang, Huiyi Lv, Yuanyuan Sun, Yi-Xiang Wang, Hongfei Lin (2025). A Unified Biomedical Named Entity Recognition Framework With Large Language Models. IEEE International Conference on Bioinformatics and Biomedicine (BIBM).DOI
  99. Di Zhao, Xin Luna Dong, Jiana Meng, Hongfei Lin (2025). Bio-R 3 : Entity Aware and Domain Adaptive Enhanced Framework for Biomedical Document Level Relation Extraction. IEEE International Conference on Bioinformatics and Biomedicine (BIBM).DOI
  100. Chao Liu, Ling Luo, Tengxiao Lv, Huan Zhuang, Lejing Yu, Yi-Xiang Wang, Hongfei Lin (2025). FocusMed: A Large Language Model-Based Framework for Enhancing Medical Question Summarization with Focus Identification. IEEE International Conference on Bioinformatics and Biomedicine (BIBM).DOI
  101. Yunzhi Qiu, Weiru Fu, Yumeng Yang, Ling Luo, Hongfei Lin (2025). Can Herpes Zoster Vaccine Reduce Alzheimer's Disease Risk? A KG and LLMS Synergistic Integration Approach. IEEE International Conference on Bioinformatics and Biomedicine (BIBM).DOI
  102. Jian Ding, Dailin Li, Qinyu Han, Tengxiao Lv, Jian Wang, Hongfei Lin, Ling Luo, Yuanyuan Sun (2025). DALE: Semantically Disentangled LoRA Expert Mixture for Depression Detection in Psychiatric Dialogue. IEEE International Conference on Bioinformatics and Biomedicine (BIBM).DOI
  103. Zhehuan Zhao, Yuran Zhang, Bo Xu, Ludan Zhang, Yu Liu, Shimin Shan, Jian Wang, Hongfei Lin (2025). NaviPath: A Novel Knowledge Graph-Based RAG Framework for Medical QA. IEEE International Conference on Bioinformatics and Biomedicine (BIBM).DOI
  104. Jinzhong Ning, Wenxuan Mu, Songtao Li, Yijia Zhang, Ling Luo, Yuanyuan Sun, Mingyu Lu, Hongfei Lin (2025). CNER-Omni: A unified dynamic modality learning framework for Chinese named entity recognition across text and speech. Neural Networks.DOI
  105. Wenxuan Mu, Di Zhao, Jiana Meng, Peng Chen, Shichang Sun, Yumeng Yang, Jian Wang, Hongfei Lin (2025). Data Augmentation for Few-Shot Biomedical NER Using ChatGPT. Artificial Intelligence in Medicine.DOI
  106. Xin Guo Zou, Dailin Li, Jian Wang, Hongfei Lin (2025). Propagandistic Meme Detection via Large Language Model Distillation. Lecture notes in computer science.DOI
  107. Weiru Fu, Hao Li, Ling Luo, Hongfei Lin (2025). ADENER: A syntax-augmented grid-tagging model for Adverse Drug Event extraction in social media. Journal of Biomedical Informatics.DOI
  108. Jian Ding, Bo Zhang, Dailin Li, Jian Wang, Hongfei Lin (2025). Disentangling Cross-Modal Interactions for Enhanced Multimodal Emotion Recognition in Conversation. INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION.DOI
  109. Shagufta Abid, Dongyu Zhang, Ahsan Haider Shehzad, Jing Fei Ren, Shuo Yu, Hongfei Lin, Feng Xia (2025). SpeechHGT: A Multimodal Hypergraph Transformer for Speech-Based Early Alzheimer’s Disease Detection. International Joint Conference on Artificial Intelligence.DOI
  110. Bo Xu, Quanhao Zhu, Qingchen Zhang, Mengmeng Wang, Liang Zhao, Hongfei Lin, Jing Ren, Feng Xia (2025). EchoGPT: An Interactive Cardiac Function Assessment Model for Echocardiogram Videos. International Joint Conference on Artificial Intelligence.DOI
  111. Weiming Yin, Jinzhong Ning, Mingyu Lu, Hongfei Lin, Yijia Zhang (2025). A dual-branch multi-path propagation reasoning network for rumor detection integrating neural symbolic commonsense reasoning mechanism. Information Processing & Management.DOI
  112. Xiaobo Li, Yijia Zhang, Xiaodi Hou, Shilong Wang, Hongfei Lin (2025). Deep learning for automatic ICD coding: Review, opportunities and challenges. Artificial Intelligence in Medicine.DOI
  113. Wei Zheng, Xinyi Tian, Zhenlin Zhang, Zexin Li, Wenjia Chen, Hongfei Lin (2025). MADIAT: enhancing conversational aspect-based sentiment quadruple analysis with multi-view adaptive dynamic interaction and adversarial training. International Journal of Machine Learning and Cybernetics.DOI
  114. Guangtao Xu, Guangtao Xu, Zhihao Yang, Bo Xu, Ling Luo, Hongfei Lin (2025). Span-based syntactic feature fusion for aspect sentiment triplet extraction. Information Fusion.DOI
  115. Guangtao Xu, Zhihao Yang, Jinzhong Ning, Hongfei Lin, Jian Wang (2025). Syntax-based residual graph attention network for aspect-level sentiment classification. Knowledge-Based Systems.DOI
  116. Dinghao Pan, Yuanyuan Sun, Bo Xu, Jiru Li, Zhihao Yang, Ling Luo, Hongfei Lin, Jian Wang (2025). Prototype Tuning: A Meta-Learning Approach for Few-Shot Document-Level Relation Extraction with Large Language Models. Findings of the Association for Computational Linguistics: NAACL.DOI
  117. Jinzhong Ning, Yuanyuan Sun, Zhihao Yang, Zhijun Wang, Ling Luo, Hongfei Lin, Yijia Zhang (2025). GenEn-MNER: Enhancing Nested Chinese NER With Multimodal Fusion and Alignment via Speech-to-Text Generation. IEEE Transactions on Audio Speech and Language Processing.DOI
  118. Davy Weissenbacher, Xinwei Zhao, Jessica R. C. Priestley, Katherine M. Szigety, Sarah F. Schmidt, Karen O’Connor, Ekin Soysal, Kirk E Roberts, Jiewei Qi, Ling Luo, Zhihao Yang, Hongfei Lin, Hajung Kim, Chanhwi Kim, Jiwoong Sohn, Tim Beck, Marek Rei, Sunkyu Kim, T. Ian Simpson, Joram Matthias Posma, Antoine Lain, Mujeen Sung, Jaewoo Kang, Areej Alhassan, Viktor Schlegel, Monira Aloud, Riza Batista-Navarro, Goran Nenadić, Ying-Jia Lin, Zhiquan Feng, Hung Yu Kao, Ian M. Campbell, Graciela Gonzalez‐Hernandez (2025). Automatic genetic phenotype normalization from dysmorphology physical examinations: an overview of the BioCreative VIII—Task 3 competition. Database.DOI
  119. Zihui Wei, Yijia Zhang, Mingyu Lu, Hongfei Lin (2025). Relation Extraction Model Based on Overlap Rules and Abductive Learning. Lecture notes in computer science.DOI
  120. Mengyi Wang, Shuo Hou, Hongfei Lin, Yijia Zhang (2025). Dual-Granularity Hierarchical Fusion Network for Multimodal Humor Recognition on Memes. Lecture notes in computer science.DOI
  121. Zhuang Wang, Yijia Zhang, Jianyuan Yuan, Songtao Li, Mingyu Lu, Hongfei Lin (2025). SCM-Net: Semantic-Contrastive Multimodal Framework for Enhanced Chinese NER. Communications in computer and information science.DOI
  122. Shaowu Zhang, Sensen Li, Tongyue Zhang, Xinyun Zhang, Yuanling Geng, Hongfei Lin, Ling Luo, Liang Yang (2025). Survey of Suicidal Tendency Recognition Based on Social Media. Communications in computer and information science.DOI
  123. Weiru Fu, Hongfei Lin, Guangtao Xu, Yunzhi Qiu, Jian Wang, Yufeng Diao, Puqi Zheng (2025). Data Augmentation and Instruction Fine-Tuning for ADR Detection. Communications in computer and information science.DOI
  124. Zeyuan Ding, Zhihao Yang, Hongfei Lin (2024). A plug-and-play adapter for consistency identification in task-oriented dialogue systems. Information Processing & Management, Vol. 61, No. 3.DOI
  125. Jing Zhang, Zhi Liu, Yaohua Pan, Hongfei Lin, Yijia Zhang (2024). IMAEN: An interpretable molecular augmentation model for drug-target interaction prediction. Expert Systems With Applications, Vol. 238.DOI
  126. Ling Luo, Jinzhong Ning, Yingwen Zhao, Zhijun Wang, Zeyuan Ding, Peng Chen, Weiru Fu, Qinyu Han, Guangtao Xu, Yunzhi Qiu, Dinghao Pan, Jiru Li, Hao Li, Wenduo Feng, Senbo Tu, Yuqi Liu, Zhihao Yang, Jian Wang, Yuanyuan Sun, Hongfei Lin (2024). Taiyi: a bilingual fine-tuned large language model for diverse biomedical tasks. Journal Of The American Medical Informatics Association, Vol. 310, No. 9.DOI
  127. 张冬瑜,卢俊宇,闵昶榮,林鸿飞(2024). 网络暴力言论检测的技术和实践. 《语言战略研究》, Vol. 9, No. 1.下载原文
  128. 杜金明,孙媛媛,林鸿飞,杨亮(2024). 融入知识图谱和课程学习的对话情绪识别. 《计算机研究与发展》.
  129. 孙世昶,林鸿飞,刘爽,孟佳娜,代启国(2024). 结合任务驱动和深度学习的人工智能课程教学探索. 《计算机教育》.
  130. 朱薇薇,张益嘉,刘贯通,鲁明羽,林鸿飞(2024). 基于领域对比自适应模型的大学生焦虑心理分析. 《计算机科学与探索》.
  131. 吴江铭,张晓堃,徐博,杨亮,林鸿飞(2024). 基于全局一致性增强的多偏好会话推荐模型. 《模式识别与人工智能》.
  132. 张天宇,孙媛媛,杜文玉,邢铁军,林鸿飞,杨亮(2024). 基于语义边界增强的司法命名实体识别. 《清华大学学报(自然科学版)》.DOI
  133. 刘旭东,杨亮,张冬瑜,林鸿飞(2024). 结合图卷积网络的多模态仇恨迷因识别研究. 《重庆理工大学学报(自然科学)》.
  134. 孙世昶,魏爽,孟佳娜,林鸿飞,肖文浩,刘爽(2024). 细粒度文本引导的跨模态风格迁移. 《中文信息学报》.
  135. 汶东震,张帆,张晓堃,杨亮,林原,徐博,林鸿飞(2024). 软件标识符的自然语言规范性研究. 《中文信息学报》.
  136. 张家诚,孙媛媛,李志廷,杨亮,林鸿飞(2024). 融合继续预训练和分部池化的司法事件检测模型. 《中文信息学报》.
  137. 季浩然,林鸿飞,杨亮,徐博(2024). 融合文本摘要和情绪感知的抑郁倾向识别. 《中文信息学报》.
  138. 吐妮可·吐尔逊,闵昶榮,林鸿飞,张冬瑜,杨亮(2024). 基于动态常识推理与多维语义特征的幽默识别. 《中文信息学报》.
  139. 赵峰叙,王健,林原,林鸿飞(2024). 面向排序学习的概率分布优化模型. 《山东大学学报(理学版)》.
  140. 沈哲旭,谢心洛,殷皓,杨亮,林鸿飞(2024). 基于强化学习引导预训练模型的情感音乐生成. 《复旦学报(自然科学版)》.
  141. 林原,林芳羽,张照芸,丁堃,林鸿飞(2024). 撤销论文特征识别——基于PubPeer平台质疑论文. 《中国科技期刊研究》.
  142. 林鸿飞,吐妮可·吐尔逊,张冬瑜(2024). 面向社交媒体的幽默计算理论与实践. 《外国语文》.
  143. 许侃,吴鑫卓,林原,顾茜,林鸿飞,谢张(2024). 基于对抗型排序学习的混合推荐算法. 《山西大学学报(自然科学版)》.
  144. Xiaokun Zhang, Bo Xu, Zhaochun Ren, Xiaochen Wang, Hongfei Lin, Fenglong Ma (2024). Disentangling ID and Modality Effects for Session-based Recommendation. Annual International ACM SIGIR Conference on Research and Development in Information Retrieval.DOI
  145. Yuan Lin, Chengxuan Ying, Bo Xu, Hongfei Lin (2024). Dual cycle generative adversarial networks for web search. Applied Soft Computing.DOI
  146. Bo Zhang, Hui Ma, Jian Ding, Jian Wang, Bo Xu, Hongfei Lin (2024). Distilling implicit multimodal knowledge into large language models for zero-resource dialogue generation. Information Fusion.DOI
  147. Junyu Lu, Bo Xu, Xiaokun Zhang, Hongbo Wang, Hao Zhu, Dongyu Zhang, Liang Yang, Hongfei Lin (2024). Towards Comprehensive Detection of Chinese Harmful Memes. Neural Information Processing Systems.DOI
  148. Bo Xu, Erchen Yu, Hongfei Lin, Linlin Zong (2024). Public Opinion Analysis in Short Videos of Emergencies Using Pre-trained Language Models. 2024 International Conference on Computational Linguistics and Natural Language Processing (CLNLP).DOI
  149. Zhi-Zheng Wang, Yuan-Yuan Sun, Xiaokun Zhang, Bo Xu, Zhihao Yang, Hongfei Lin (2024). Continual learning with high-order experience replay for dynamic network embedding. Pattern Recognition.DOI
  150. Erchen Yu, Jun-Long Wang, Xuening Qiao, Jiewei Qi, Zhao-Qing Li, Hongfei Lin, Linlin Zong, Bo Xu (2024). DUTIR938 at SemEval-2024 Task 4: Semi-Supervised Learning and Model Ensemble for Persuasion Techniques Detection in Memes. International Workshop on Semantic Evaluation.DOI
  151. Hao Zhu, Xiaokun Zhang, Junyu Lu, Youlin Wu, Zewen Bai, C. Min, Liang Yang, Bo Xu, Dongyu Zhang, Hongfei Lin (2024). Enhancing Textual Personality Detection Toward Social Media: Integrating Long-Term and Short-Term Perspectives. IEEE Transactions on Audio, Speech, and Language Processing.DOI
  152. Bo Xu, Longjiao Li, Wei Luo, Mehdi Naseriparsa, Zhehuan Zhao, Hongfei Lin, Feng Xia (2024). Beyond Linguistic Cues: Fine-grained Conversational Emotion Recognition via Belief-Desire Modelling. International Conference on Language Resources and Evaluation.DOI
  153. Bo Xu, Jinpeng Wang, Zhehuan Zhao, Hongfei Lin, Feng Xia (2024). Unsupervised Anomaly Detection on Attributed Networks With Graph Contrastive Learning for Consumer Electronics Security. IEEE transactions on consumer electronics.DOI
  154. Haiguang Zhang, Yuan-Yuan Sun, Bo Xu, Hongfei Lin (2024). LegalATLE: an active transfer learning framework for legal triple extraction. Applied intelligence (Boston).DOI
  155. Bo Xu, Jinpeng Wang, Zhehuan Zhao, Hongfei Lin, Feng Xia (2024). HIM: Discovering Implicit Relationships in Heterogeneous Social Networks. IEEE International Conference on Acoustics, Speech, and Signal Processing.DOI
  156. Bo Xu, Xuening Qiao, Hongfei Lin, Linlin Zong (2024). MPHDetect: Multi-View Prompting and Hypergraph Fusion for Malevolence Detection in Dialogues. International Conference on Information and Knowledge Management.DOI
  157. Hui Ma, Bo Zhang, Bo Xu, Jian Wang, Hongfei Lin, Xiao Sun (2024). Empathy Level Alignment via Reinforcement Learning for Empathetic Response Generation. IEEE Transactions on Affective Computing.DOI
  158. Haiguang Zhang, Yuan-Yuan Sun, Bo Xu, Hongfei Lin (2024). Correction to: LegalATLE: an active transfer learning framework for legal triple extraction. Applied intelligence (Boston).DOI
  159. Xiaokun Zhang, Bo Xu, Youlin Wu, Yuan Zhong, Hongfei Lin, Fenglong Ma (2024). FineRec: Exploring Fine-grained Sequential Recommendation. Annual International ACM SIGIR Conference on Research and Development in Information Retrieval.DOI
  160. Jingjie Zeng, Liang Yang, Jiahao Kang, Yu-Feng Diao, Zhihao Yang, Hongfei Lin (2024). “Barking up the Right Tree”, a GAN-Based Pun Generation Model through Semantic Pruning. International Conference on Language Resources and Evaluation.DOI
  161. Haohao Zhu, Xiaokun Zhang, Junyu Lu, Liang Yang, Hongfei Lin (2024). Integrating Multi-view Analysis: Multi-view Mixture-of-Expert for Textual Personality Detection. Lecture notes in computer science.DOI
  162. Hongbo Wang, Junyu Lu, Yan Han, Kai Ma, Liang Yang, Hongfei Lin (2024). Towards Patronizing and Condescending Language in Chinese Videos: A Multimodal Dataset and Detector. IEEE International Conference on Acoustics, Speech, and Signal Processing.DOI
  163. Yu-Feng Diao, Liang Yang, Shi-Qi Li, Zhang Hao, Xiao-Chao Fan, Hongfei Lin (2024). Detect Sarcasm and Humor Jointly by Neural Multi-Task Learning. IEEE Access.DOI
  164. Youlin Wu, Kai-Chun Wang, Kai Ma, Liang Yang, Hongfei Lin (2024). Werkzeug at SemEval-2024 Task 8: LLM-Generated Text Detection via Gated Mixture-of-Experts Fine-Tuning. International Workshop on Semantic Evaluation.DOI
  165. Kai-Chun Wang, Junyu Lu, Bingjie Yu, Liang Yang, Hongfei Lin (2024). CETA: Context-Enhanced and Target-Aware Hateful Meme Inference Method. Natural Language Processing and Chinese Computing.DOI
  166. Hongbo Wang, LiMingDa LiMingDa, Junyu Lu, Hebin Xia, Liang Yang, Bo Xu, Ruizhu Liu, Hongfei Lin (2024). PclGPT: A Large Language Model for Patronizing and Condescending Language Detection.DOI
  167. Qi Yang, Jingjie Zeng, Liang Yang, Hongfei Lin (2024). yangqi at SemEval-2024 Task 9: Simulate Human Thinking by Large Language Model for Lateral Thinking Challenges. International Workshop on Semantic Evaluation.DOI
  168. Zhi-Zheng Wang, Yuan-Yuan Sun, Zhihao Yang, Liang Yang, Hongfei Lin (2024). Temporal Network Embedding Enhanced With Long-Range Dynamics and Self-Supervised Learning. IEEE Transactions on Neural Networks and Learning Systems.DOI
  169. Yijie Shu, Xiaokun Zhang, Youlin Wu, Bo Xu, Liang Yang, Hongfei Lin (2024). Don’t Click the Bait: Title Debiasing News Recommendation via Cross-Field Contrastive Learning. Lecture notes in computer science.DOI
  170. Junyu Lu, Bo Xu, Xiaokun Zhang, Kai-Yuan Liu, Dongyu Zhang, Liang Yang, Hongfei Lin (2024). Take Its Essence, Discard Its Dross! Debiasing for Toxic Language Detection via Counterfactual Causal Effect. International Conference on Language Resources and Evaluation.DOI
  171. Dongzhen Wen, Xiaokun Zhang, Yu-Feng Diao, Ziyu Zhao, He Jiang, Hongfei Lin (2024). Modeling source code in bimodal for program comprehension. Neural computing & applications (Print).DOI
  172. Dailin Li, Chu-Han Wang, Xin Zou, Jun-Long Wang, Peng Chen, Jian Wang, Liang Yang, Hongfei Lin (2024). CoT-based Data Augmentation Strategy for Persuasion Techniques Detection. International Workshop on Semantic Evaluation.DOI
  173. Ze-Yuan Zeng, Zefeng Li, Liang Yang, Hongfei Lin (2024). Leveraging Social Context for Humor Recognition and Sense of Humor Evaluation in Social Media with a New Chinese Humor Corpus - HumorWB. International Conference on Language Resources and Evaluation.DOI
  174. Qi Yang, Jingjie Zeng, Liang Yang, Zhihao Yang, Hongfei Lin (2024). Exploring the Capability of Multimodal LLMs with Yonkoma Manga: The YManga Dataset and Its Challenging Tasks. Conference on Empirical Methods in Natural Language Processing.DOI
  175. Shiyi Li, Yi-Ke Wang, Liang Yang, Shao-Wu Zhang, Hongfei Lin (2024). LMEME at SemEval-2024 Task 4: Teacher Student Fusion - Integrating CLIP with LLMs for Enhanced Persuasion Detection. International Workshop on Semantic Evaluation.DOI
  176. Jiewei Qi, Ling Luo, Zhihao Yang, Jian Wang, Huiwei Zhou, Hongfei Lin (2024). An Improved Method for Phenotype Concept Recognition Using Rich HPO Information. IEEE International Conference on Bioinformatics and Biomedicine (BIBM).DOI
  177. Wenxuan Mu, Di Zhao, Jiana Meng, Shuang Liu, Hongfei Lin (2024). Few-shot Biomedical NER via Multi-task Learning and More Fine-grained Grid-tagging Strategy. IEEE International Conference on Bioinformatics and Biomedicine (BIBM).DOI
  178. Bo Xu, Xuening Qiao, Xiaokun Zhang, Jiahui Wan, Xinyue Liu, Linlin Zong, Hongfei Lin (2024). Modeling Implicit Emotion and User-specific Context for Malevolence Detection in Mental Health Counseling Dialogues. IEEE International Conference on Bioinformatics and Biomedicine (BIBM).DOI
  179. Liangyu Gao, Zhihao Yang, Jinzhong Ning, Kai Ma, Lei Wang, Wei Liu, Yin Zhang, Ling Luo, Bo Xu, Jian Wang, Yumeng Yang, Zhehuan Zhao, Yuanyuan Sun, Hongfei Lin (2024). Biomedical Event Extraction as Semantic Segmentation. IEEE International Conference on Bioinformatics and Biomedicine (BIBM).DOI
  180. Liangyu Gao, Zhihao Yang, Ling Luo, Wenfei Liu, Hongfei Lin, Jian Wang (2024). EDNER: Edge Detection for Named Entity Recognition. Lecture notes in computer science.DOI
  181. Jiru Li, Dinghao Pan, Zhihao Yang, Yuanyuan Sun, Hongfei Lin, Jian Wang (2024). JTIS: enhancing biomedical document-level relation extraction through joint training with intermediate steps. Database.DOI
  182. Yumeng Yang, Hongfei Lin, Zhihao Yang, Yijia Zhang, Di Zhao, Ling Luo (2024). LCDL: Classification of ICD codes based on disease label co-occurrence dependency and LongFormer with medical knowledge. Artificial Intelligence in Medicine.DOI
  183. Liangyu Gao, Zhihao Yang, Haixin Tan, Lei Wang, Wei Liu, Yin Zhang, Ling Luo, Bo Xu, Jian Wang, Yumeng Yang, Zhehuan Zhao, Yuanyuan Sun, Hongfei Lin (2024). Document-level Biomedical Relation Extraction Based on Relation-guided Entity-level Graphs. IEEE International Conference on Bioinformatics and Biomedicine (BIBM).DOI
  184. Yongle Kong, Zhihao Yang, Ling Luo, Zeyuan Ding, Lei Wang, Wei Liu, Yin Zhang, Bo Xu, Jian Wang, Yuanyuan Sun, Zhehuan Zhao, Hongfei Lin (2024). Document Embeddings Enhance Biomedical Retrieval-Augmented Generation. IEEE International Conference on Bioinformatics and Biomedicine (BIBM).DOI
  185. Fengyu Zhang, Jianyuan Yuan, Yimeng Qiu, Hongfei Lin, Yijia Zhang (2024). Not Just Single Reasoning! A Hierarchical Network for Document-level Biomedical Relation Extraction with Multi-Granularity Learning. IEEE International Conference on Bioinformatics and Biomedicine (BIBM).DOI
  186. Jiru Li, Yuanyuan Sun, Zhihao Yang, Ling Luo, Lei Wang, Wei Liu, Yin Zhang, Bo Xu, Jian Wang, Yumeng Yang, Zhehuan Zhao, Hongfei Lin (2024). Biomedical Document-level Relation Extraction with Coreference and Anaphor Graphs. IEEE International Conference on Bioinformatics and Biomedicine (BIBM).DOI
  187. Senbo Tu, Zhihao Yang, Lei Wang, Wei Liu, Yin Zhang, Ling Luo, Bo Xu, Jian Wang, Yumeng Yang, Zhehuan Zhao, Hongfei Lin (2024). Efficient Knowledge Graph Embedding Framework to Alleviate Data Sparsity for Polypharmacy Side Effects Prediction. IEEE International Conference on Bioinformatics and Biomedicine (BIBM).DOI
  188. Fengyu Zhang, Jianyuan Yuan, Yimeng Qiu, Hongfei Lin, Yijia Zhang (2024). Rethinking Logical Reasoning Design for Document-level Biomedical Relation Extraction. IEEE International Conference on Bioinformatics and Biomedicine (BIBM).DOI
  189. Yunzhi Qiu, Xiaokun Zhang, Weiwei Wang, Hongfei Lin (2024). Dual Sentiment-aware Networks for Adverse Drug Reactions Detection. IEEE International Conference on Bioinformatics and Biomedicine (BIBM).DOI
  190. Weiru Fu, Junyu Lu, Youlin Wu, Guangtao Xu, Liang Yang, Hongfei Lin, Jian Wang, Ruiyuan Wang (2024). CFAH: A Chinese Dataset for Detecting False Advertising in Healthcare. IEEE International Conference on Bioinformatics and Biomedicine (BIBM).DOI
  191. Qinyu Han, Zhihao Yang, Hongfei Lin, Tian Qin (2024). A plug-and-play knowledge-enhanced module for medical reports generation. Knowledge-Based Systems.DOI
  192. Hui Zhao, Di Zhao, Jiana Meng, Shuang Liu, Hongfei Lin (2024). A Multi-task Biomedical Named Entity Recognition Method Based on Data Augmentation. Lecture notes in computer science.DOI
  193. Yongle Kong, Zhihao Yang, Zeyuan Ding, Wenfei Liu, Shiqi Zhang, Jianan Xu, Hongfei Lin (2024). TR-Net: Token Relation Inspired Table Filling Network for Joint Entity and Relation Extraction. Computer Speech & Language.DOI
  194. Zhichao Ping, Zhi Liu, Mengyi Wang, Hongfei Lin, Yijia Zhang (2024). Humor Recognition Based on Dual Graph Attention Network with Incongruity and Ambiguity Feature Extraction. Lecture notes in computer science.DOI
  195. Bo Xu, Junzhe Zheng, Jiayuan He, Yuxuan Sun, Hongfei Lin, Liang Zhao, Feng Xia (2024). Generating Multimodal Metaphorical Features for Meme Understanding. ACM International Conference on Multimedia (ACM MM).DOI
  196. Jingjie Zeng, Zhihao Yang, Qi Yang, Liang Yang, Hongfei Lin (2024). Peeling Back the Layers: Interpreting the Storytelling of ViT. ACM International Conference on Multimedia (ACM MM).DOI
  197. Peng Chen, Jian Wang, Ling Luo, Hongfei Lin, Zhihao Yang (2024). Learning to explain is a good biomedical few-shot learner. Bioinformatics.DOI
  198. Bocheng Guo, Jiana Meng, Di Zhao, Xiangxing Jia, Yonghe Chu, Hongfei Lin (2024). Integrating graph convolutional networks to enhance prompt learning for biomedical relation extraction. Journal of Biomedical Informatics.DOI
  199. Zhixing Lu, Yuanyuan Sun, Zhihao Yang, Qin Yuan Zhou, Hongfei Lin (2024). The Orthogonality of Weight Vectors: The Key Characteristics of Normalization and Residual Connections.DOI
  200. Changrong Min, Yonghe Chu, Hongfei Lin, Bolin Wang, Liang Yang, Bo Xu (2024). Topic-aware cosine graph convolutional neural network for short text classification. Soft Computing.DOI
  201. Jianyuan Yuan, Fengyu Zhang, Yimeng Qiu, Hongfei Lin, Yijia Zhang (2024). Document-level biomedical relation extraction via hierarchical tree graph and relation segmentation module. Bioinformatics.DOI
  202. Yan Zhang, Zhihao Yang, Yumeng Yang, Hongfei Lin, Jian Wang (2024). Location-enhanced syntactic knowledge for biomedical relation extraction. Journal of Biomedical Informatics.DOI
  203. Fuxi Zhang, Fuxi Zhang, Guoming Sang, Zhi Liu, Hongfei Lin, Yijia Zhang (2024). A doctor’s diagnosis experience enhanced transformer model for automatic diagnosis. Engineering Applications of Artificial Intelligence.DOI
  204. Jiedong Wei, Yijia Zhang, Xingwang Li, Mingyu Lu, Hongfei Lin (2024). Knowledge enhanced attention aggregation network for medicine recommendation. Computational Biology and Chemistry.DOI
  205. Bocheng Guo, Di Zhao, Xin Dong, Jiana Meng, Hongfei Lin (2024). Few-shot biomedical relation extraction using data augmentation and domain information. Neurocomputing.DOI
  206. Zeyuan Ding, Zhihao Yang, Ling Luo, Yuanyuan Sun, Hongfei Lin (2024). From Retrieval to Generation: A Simple and Unified Generative Model for End-to-End Task-Oriented Dialogue. Proceedings of the AAAI Conference on Artificial Intelligence.DOI
  207. Zeyuan Ding, Zhihao Yang, Yinbo Qiao, Hongfei Lin (2024). KMc-ToD: Structure knowledge enhanced multi-copy network for task-oriented dialogue system. Knowledge-Based Systems.DOI
  208. Nan Li, Zhihao Yang, Jian Wang, Hongfei Lin (2024). Drug–target interaction prediction using knowledge graph embedding. iScience.DOI
  209. Yingwen Zhao, Zhihao Yang, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang (2024). Predicting Protein Functions Based on Heterogeneous Graph Attention Technique. IEEE Journal of Biomedical and Health Informatics.DOI
  210. Qinyu Han, Zhihao Yang, Hongfei Lin, Tian Qin (2024). Let Topic Flow: A Unified Topic-Guided Segment-Wise Dialogue Summarization Framework. IEEE/ACM Transactions on Audio Speech and Language Processing.DOI
  211. Bo Xu, Yingjie Zhou, Linlin Zong, Hongfei Lin, Fang Mei (2024). Privacy-Preserving Medical Dialogue Generation Based on Federated Learning. Communications in computer and information science.DOI
  212. Wei Du, Jianyuan Yuan, Xiaoxia Liu, Hongfei Lin, Yijia Zhang (2024). Biomedical Relation Extraction via Syntax-Enhanced Contrastive Networks. Communications in computer and information science.DOI
  213. Xingyu Yu, Jingjian Gao, Hongfei Lin, Yijia Zhang (2024). Double Graph Convolution Network with Knowledge Distillation for International Media Portrait Analysis of COVID-19. Communications in computer and information science.DOI
  214. Mian Song Huang, Jian Wang, Hongfei Lin, Zhihao Yang (2024). Multi-head Attention and Graph Convolutional Networks with Regularized Dropout for Biomedical Relation Extraction. Communications in computer and information science.DOI
  215. Huixian Cai, Jianyuan Yuan, Guoming Sang, Zhi Liu, Hongfei Lin, Yijia Zhang (2024). Entity Fusion Contrastive Inference Network for Biomedical Document Relation Extraction. Communications in computer and information science.DOI
  216. Weiwei Zhu, Yijia Zhang, Xingyu Yu, Mingyu Lu, Hongfei Lin (2024). Semantic and Emotional Feature Fusion Model for Early Depressive Prediction. Communications in computer and information science.DOI
  217. Shilong Wang, Xiaobo Li, Wen Qu, Hongfei Lin, Yijia Zhang (2024). Hybrid Attention Knowledge Fusion Network for Automated Medical Code Assignment. Lecture notes in computer science.DOI
  218. Dongzhen Wen, Dong Liu, Yao Zheng, He Jiang, Hongfei Lin (2024). A Novel World Knowledge Aware Universal Representations of Design Patterns Based on Pre-trained Language Models. Lecture notes in computer science.DOI
  219. Jinzhong Ning, Yuanyuan Sun, Bo Xu, Zhihao Yang, Ling Luo, Hongfei Lin (2024). Breaking the Boundaries: A Unified Framework for Chinese Named Entity Recognition Across Text and Speech.DOI
  220. 彭韬,杨亮,张琍,毛国庆,林鸿飞,任璐(2023). 联合多源分析的罪名预测研究. 《计算机工程与应用》.
  221. 乔胤博,杨志豪,林鸿飞(2023). 融合生成式模型的知识增强实体链指方法. 《广西科学》.
  222. 林原,李家平,杨亮,赵昕航,覃雪,许侃,林鸿飞(2023). 基于比较学习的情感分析方法研究. 《中文信息学报》.
  223. 张童越,张绍武,林鸿飞,徐博,杨亮(2023). 结合标签转移关系的多任务笑点识别方法. 《中文信息学报》.
  224. 吴佳铭,林鸿飞,杨亮,徐博(2023). 基于注意力机制的多模态幽默识别. 《中文信息学报》.
  225. 何伟东,杨志豪,王治政,林鸿飞(2023). 融合语义特征与偏序关系的生物医学文档检索. 《山西大学学报(自然科学版)》.
  226. 闫滢钰,汶东震,张冬瑜,林鸿飞(2023). 结合主题模型的中国古代诗人大五人格预测. 《山西大学学报(自然科学版)》.
  227. Junlong Wang, Yongqi Leng, Xinyu Zhai, Linlin Zong, Hongfei Lin, Bo Xu (2023). Adversarial Training and Model Ensemble for User Feedback Prediciton in Conversation System. Natural Language Processing and Chinese Computing.DOI
  228. Xiaokun Zhang, Bo Xu, Fenglong Ma, Chenliang Li, Yuan Lin, Hongfei Lin (2023). Bi-preference Learning Heterogeneous Hypergraph Networks for Session-based Recommendation. ACM Trans. Inf. Syst..DOI
  229. Ying Yan, Dongzhen Wen, Liang Yang, Dongyu Zhang, Hongfei Lin (2023). Poetry Generation Combining Poetry Theme Labels Representations. Recent Advances in Natural Language Processing.DOI
  230. Dongyu Zhang, Jingwei Yu, Senyuan Jin, Liang Yang, Hongfei Lin (2023). MultiCMET: A Novel Chinese Benchmark for Understanding Multimodal Metaphor. Conference on Empirical Methods in Natural Language Processing.DOI
  231. Jiahao Kang, Liang Yang, Yuefang Sun, Yuan Lin, Shao-Wu Zhang, Hongfei Lin (2023). P-Reader: A Clue-Inspired Model for Machine Reading Comprehension. ICCC.DOI
  232. Tuerxun Tunike, Dongyu Lin, Hongfei anf Zhang, Liang Yang, C. Min, 吐尔逊 吐妮可, Hongfei Lin, Dongyu Zhang, Liang Yang, Rong-Min Chang(2023). 基于动态常识推理与多维语义特征的幽默识别(Humor Recognition based on Dynamically Commonsense Reasoning and Multi-Dimensional Semantic Features). China National Conference on Chinese Computational Linguistics.
  233. Shao-Wu Zhang, Xijun Cui, Tong-Yue Zhang, Hongfei Lin, Liang Yang (2023). Humor Level Recognition Based on Prompt Learning and Contrastive Learning. BigData Congress [Services Society].DOI
  234. Hongbo Wang, Mingda Li, Junyu Lu, Liang Yang, Hebin Xia, Hongfei Lin (2023). CCPC: A Hierarchical Chinese Corpus for Patronizing and Condescending Language Detection. Natural Language Processing and Chinese Computing.DOI
  235. Peng Chen, Jian Wang, Hongfei Lin, Di Zhao, Zhihao Yang (2023). Few-shot biomedical named entity recognition via knowledge-guided instance generation and prompt contrastive learning. Bioinform..DOI
  236. Jinzhong Ning, Zhihao Yang, Yuan-Yuan Sun, Zhi-Zheng Wang, Hongfei Lin (2023). OD-RTE: A One-Stage Object Detection Framework for Relational Triple Extraction. Annual Meeting of the Association for Computational Linguistics.DOI
  237. Yong-He Chu, Heling Cao, Yu-Feng Diao, Hongfei Lin (2023). Refined SBERT: Representing sentence BERT in manifold space. Neurocomputing.DOI
  238. Zhuang Wang, Yi-Jia Zhang, Kang An, Xiaoying Zhou, Mingyu Lu, Hongfei Lin (2023). P-MNER: Cross Modal Correction Fusion Network with Prompt Learning for Multimodal Named Entity Recognitiong. China National Conference on Chinese Computational Linguistics.DOI
  239. Ruobing Li, Jian Wang, Hongfei Lin, Yuan Lin, Huiyi Lu, Zhihao Yang (2023). A Patient Information Mining Network for Drug Recommendation. Methods.DOI
  240. Bolin Wang, Yuan-Yuan Sun, Yong-He Chu, C. Min, Zhihao Yang, Hongfei Lin (2023). Local discriminative graph convolutional networks for text classification. Multimedia Systems.DOI
  241. Jinzhong Ning, Zhihao Yang, Zhi-Zheng Wang, Yuan-Yuan Sun, Hongfei Lin (2023). ODEE: A One-Stage Object Detection Framework for Overlapping and Nested Event Extraction. International Joint Conference on Artificial Intelligence.DOI
  242. Bin Yu, Zewen Bai, Haoran Ji, Shiyi Li, Haotong Zhang, Hongfei Lin (2023). DUTIR at SemEval-2023 Task 10: Semi-supervised Learning for Sexism Detection in English. International Workshop on Semantic Evaluation.DOI
  243. Nan Li, Zhihao Yang, Jian Wang, Hongfei Lin (2023). A Self-Supervised Framework for Learning Biological Entities Representation by Fusing Class Information. IEEE journal of biomedical and health informatics.DOI
  244. Zhi-Zheng Wang, Xiao-Fan Liu, Zhan-Wei Du, Lin Wang, Ye Wu, P. Holme, M. Lachmann, Hongfei Lin, Zhuoyue Wang, Yu Cao, Z. S. Wong, Xiao-Ke Xu, Yuan-Yuan Sun (2023). Protocol for the automatic extraction of epidemiological information via a pre-trained language model. STAR Protocols.DOI
  245. Yingwen Zhao, Zhihao Yang, Yongkai Hong, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang (2023). Improving Protein Function Prediction by Adaptively Fusing Information From Protein Sequences and Biomedical Literature. IEEE journal of biomedical and health informatics.DOI
  246. Peng Chen, Jian Wang, Hongfei Lin, Yi-Jia Zhang, Zhihao Yang (2023). Knowledge Adaptive Multi-Way Matching Network for Biomedical Named Entity Recognition via Machine Reading Comprehension. IEEE/ACM Transactions on Computational Biology & Bioinformatics.DOI
  247. Yingwen Zhao, Zhihao Yang, Yongkai Hong, Yumeng Yang, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang (2023). Protein Function Prediction With Functional and Topological Knowledge of Gene Ontology. IEEE Transactions on Nanobioscience.DOI
  248. Di Zhao, Yumeng Yang, Peng Chen, Jiana Meng, Shichang Sun, Jian Wang, Hongfei Lin (2023). Biomedical document relation extraction with prompt learning and KNN. Journal of Biomedical Informatics.DOI
  249. Yumeng Yang, Hongfei Lin, Zhihao Yang, Yi-Jia Zhang, Di Zhao, Shuaiheng Huai (2023). ADPG: Biomedical entity recognition based on Automatic Dependency Parsing Graph. Journal of Biomedical Informatics.DOI
  250. Nan Li, Zhihao Yang, Yumeng Yang, Jian Wang, Hongfei Lin (2023). Hyperbolic hierarchical knowledge graph embeddings for biological entities. Journal of Biomedical Informatics.DOI
  251. Changrong Min, Hongfei Lin, Ximing Li, He Zhao, Junyu Lu, Liang Yang, Bo Xu (2023). Finding hate speech with auxiliary emotion detection from self-training multi-label learning perspective. Information Fusion.DOI
  252. Liru Wang, Tongxuan Zhang, Jiewen Tian, Hongfei Lin (2023). An Semantic Similarity Matching Method for Chinese Medical Question Text. Communications in computer and information science.DOI
  253. Yufeng Diao, Liang Yang, Xiaochao Fan, Hongfei Lin (2023). A Position-Aware Word-Level and Clause-Level Attention Network for Emotion Cause Recognition. Lecture notes in computer science.DOI
  254. Xiaobo Li, Yijia Zhang, Xiaodi Hou, Fanjun Meng, Hongfei Lin (2023). Multi-Visit Interactive Recalibration Network for Drug Recommendation with a Triple Graph Encoder. IEEE International Conference on Bioinformatics and Biomedicine (BIBM).DOI
  255. Shilong Wang, Yijia Zhang, Xiaobo Li, Wen Qu, Hongfei Lin (2023). MKFN: Multimodal Knowledge Fusion Network for Automatic ICD Coding. IEEE International Conference on Bioinformatics and Biomedicine (BIBM).DOI
  256. Haixin Tan, Zhihao Yang, Zeyuan Ding, Zhijun Wang, Ling Luo, Lei Wang, Yin Zhang, Wei Liu, Hongfei Lin, Jian Wang (2023). Joint Biomedical Entity and Relation Extraction with Unified Interaction Maps. IEEE International Conference on Bioinformatics and Biomedicine (BIBM).DOI
  257. Zhehuan Zhao, Yuying Zou, Menghan Wang, Bo Xu, Zhihao Yang, Hongfei Lin (2023). Biomedical Named Entity Recognition Through Deep Reinforcement Learning. IEEE International Conference on Bioinformatics and Biomedicine (BIBM).DOI
  258. Bo Xu, Qirui Wang, L. Li, Jinqiao Yang, Hongfei Lin, Feng Ding (2023). A novel few-shot learning approach for the classification of histological images of liver tumors. IEEE International Conference on Bioinformatics and Biomedicine (BIBM).DOI
  259. Yuqi Liu, Zhihao Yang, Jinzhong Ning, Zhijun Wang, Ling Luo, Lei Wang, Yin Zhang, Wei Liu, Hongfei Lin, Jian Wang (2023). Joint Biomedical Entity and Relation Extraction Based on Triple Region Vertices. IEEE International Conference on Bioinformatics and Biomedicine (BIBM).DOI
  260. Yunzhi Qiu, Xiaokun Zhang, Weiwei Wang, Youlin Wu, Bo Xu, Haifeng Liu, Hongfei Lin (2023). SEDGCN: Sentiment Enhanced Dual Graph Convolutional Networks for Detecting Adverse Drug Reactions. IEEE International Conference on Bioinformatics and Biomedicine (BIBM).DOI
  261. Bo Zhang, Jian Wang, Hui Ma, Bo Xu, Hongfei Lin (2023). ZRIGF: An Innovative Multimodal Framework for Zero-Resource Image-Grounded Dialogue Generation. ACM International Conference on Multimedia (ACM MM).DOI
  262. Xiaokun Zhang, Bo Xu, Fenglong Ma, Chenliang Li, Liang Yang, Hongfei Lin (2023). Beyond Co-Occurrence: Multi-Modal Session-Based Recommendation. IEEE Transactions on Knowledge and Data Engineering.DOI
  263. Yunzhi Qiu, Xiaokun Zhang, Weiwei Wang, Tongxuan Zhang, Bo Xu, Hongfei Lin (2023). KESDT: Knowledge Enhanced Shallow and Deep Transformer for Detecting Adverse Drug Reactions. Lecture notes in computer science.DOI
  264. Junyu Lu, Hongfei Lin, Xiaokun Zhang, Zhaoqing Li, Tongyue Zhang, Linlin Zong, Fenglong Ma, Bo Xu (2023). Hate Speech Detection via Dual Contrastive Learning. IEEE/ACM Transactions on Audio Speech and Language Processing.DOI
  265. Liang Yang, Zhexu Shen, Jingjie Zeng, Xi Luo, Hongfei Lin (2023). COSMIC: Music emotion recognition combining structure analysis and modal interaction. Multimedia Tools and Applications.DOI
  266. Zhexu Shen, Liang Yang, Zhihan Yang, Hongfei Lin (2023). More Than Simply Masking: Exploring Pre-training Strategies for Symbolic Music Understanding. ACM International Conference on Multimedia Retrieval (ICMR).DOI
  267. Xueda Li, Changrong Min, Hao Zhang, Liang Yang, Dongyu Zhang, Hongfei Lin (2023). Hyperbolic Graph Convolutional Networks for Aspect-Based Sentiment Analysis. IEEE International Conference on Computer Communication and Artificial Intelligence (CCAI).DOI
  268. Junyu Lu, Bo Xu, Xiaokun Zhang, Changrong Min, Liang Yang, Hongfei Lin (2023). Facilitating Fine-grained Detection of Chinese Toxic Language: Hierarchical Taxonomy, Resources, and Benchmarks. Annual Meeting of the Association for Computational Linguistics (ACL).DOI
  269. Hui Ma, Jian Wang, Hongfei Lin, Bo Zhang, Yijia Zhang, Bo Xu (2023). A Transformer-Based Model With Self-Distillation for Multimodal Emotion Recognition in Conversations. IEEE Transactions on Multimedia.DOI
  270. Liang Yang, Zhexu Shen, Fengqing Zhou, Hongfei Lin, Junpeng Li (2023). TPoet: Topic-Enhanced Chinese Poetry Generation. ACM Transactions on Asian and Low-Resource Language Information Processing.DOI
  271. Changrong Min, Ximing Li, Liang Yang, Zhilin Wang, Bo Xu, Hongfei Lin (2023). Just Like a Human Would, Direct Access to Sarcasm Augmented with Potential Result and Reaction. Annual Meeting of the Association for Computational Linguistics (ACL).DOI
  272. Chunling Wang, Yijia Zhang, Xingyu Yu, Guantong Liu, Fei Chen, Hongfei Lin (2023). Adversarial Network with External Knowledge for Zero-Shot Stance Detection. Lecture notes in computer science.DOI
  273. Zijian Tu, Bo Zhang, Chuchu Jiang, Jian Wang, Hongfei Lin (2023). A Model Ensemble Approach for Conversational Quadruple Extraction. Lecture notes in computer science.DOI
  274. Hao Zhang, Youlin Wu, Junyu Lu, Zewen Bai, Jiangming Wu, Hongfei Lin, Shaowu Zhang (2023). ZBL2W at SemEval-2023 Task 9: A Multilingual Fine-tuning Model with Data Augmentation for Tweet Intimacy Analysis.DOI
  275. Buzhou Tang, Qingcai Chen, Hongfei Lin, Fei Qing Wu, Lei Liu, Tianyong Hao, Yanshan Wang, Haitian Wang (2023). Health Information Processing. Communications in computer and information science.DOI
  276. Yinbo Qiao, Zhihao Yang, Hongfei Lin, Jian Wang (2023). An End-to-End Knowledge Graph Based Question Answering Approach for COVID-19. Communications in computer and information science.DOI
  277. Ming Yuan Yang, Yijia Zhang, Da Liu, Wei Du, Yide Di, Hongfei Lin (2023). Infusing Dependency Syntax Information into a Transformer Model for Document-Level Relation Extraction from Biomedical Literature. Communications in computer and information science.DOI
  278. Buzhou Tang, Qingcai Chen, Hongfei Lin, Fei Qing Wu, Lei Liu, Tianyong Hao, Yanshan Wang, Haitian Wang, Jianbo Lei, Zuofeng Li, Hui Zong (2023). Health Information Processing. Evaluation Track Papers. Communications in computer and information science.DOI
  279. Xiaokun Zhang, Hongfei Lin, Bo Xu, Chenliang Li, Yuan Lin, Haifeng Liu, Fenglong Ma (2022). Dynamic intent-aware iterative denoising network for session-based recommendation. Information Processing & Management, Vol. 59, No. 3.DOI
  280. 张冬瑜,顾丰,崔紫娟,胡绍翔,张伟,林鸿飞(2022). 基于关键词抽取算法的隐喻研究趋势分析. 《数据分析与知识发现》, No. 4.下载原文
  281. 丁堃,赵昕航,林原,林鸿飞(2022). 面向学术评价的论文画像研究. 《情报理论与实践》, Vol. 45, No. 9.下载原文
  282. 李帅驰,杨志豪,王鑫雷,韩钦宇,林鸿飞(2022). 基于特征增强的开放域知识库问答系统. 《计算机工程与应用》.
  283. 胡旭阳,王治政,孙媛媛,徐博,林鸿飞(2022). 融合语义解析的知识图谱表示方法. 《计算机研究与发展》.
  284. 徐琳宏,刘鑫,阎月,原伟,林鸿飞(2022). 俄语情感分析研究综述. 《计算机工程与应用》.
  285. 张新昀,张绍武,任璐,杨亮,徐博,张益嘉,林鸿飞(2022). 基于投票人影响因子的投票预测模型. 《模式识别与人工智能》.
  286. 孙越凡,杨亮,林原,许侃,林鸿飞(2022). 面向特定领域中文阅读理解数据集研究. 《中文信息学报》.
  287. 李正光,林鸿飞,申晨,徐博,郑巍(2022). 基于交互自注意力的文档级化学物质诱导疾病关系抽取. 《中文信息学报》.
  288. 丁健,杨亮,林鸿飞,王健(2022). 基于多模态异质动态融合的情绪分析研究. 《中文信息学报》.
  289. 张瑾晖,张绍武,林鸿飞,樊小超,杨亮(2022). 基于多粒度语义交互理解网络的幽默等级识别. 《中文信息学报》.
  290. 耿源羚,张绍武,张益嘉,林鸿飞,杨亮(2022). 基于卷积注意力的情感增强微博立场检测. 《山西大学学报(自然科学版)》.
  291. 汶东震,张帆,TADESSE Michael Mesfin,徐博,林鸿飞,杨亮,林原(2022). 基于深度文本摘要的开源软件缺陷挖掘研究. 《山西大学学报(自然科学版)》.
  292. 沈哲旭,曾景杰,丁健,杨亮,林鸿飞(2022). 基于预训练语言模型的电子乐谱情感分类研究. 《复旦学报(自然科学版)》.
  293. 孙岩松,杨亮,林鸿飞(2022). 基于多粒度的分词消歧和语义增强的情景剧幽默识别. 《广西师范大学学报(自然科学版)》.
  294. 李正光,陈恒,林鸿飞(2022). 基于双向语言模型的社交媒体药物不良反应识别. 《广西师范大学学报(自然科学版)》.
  295. Jinzhong Ning, Zhihao Yang, Zhi-Zheng Wang, Yuan-Yuan Sun, Hongfei Lin, Jian Wang (2022). Two Languages Are Better than One: Bilingual Enhancement for Chinese Named Entity Recognition. International Conference on Computational Linguistics.
  296. Ruobing Li, Jian Wang, Hongfei Lin, Yuan Lin, Huiyi Lu, Zhihao Yang (2022). Patient Condition Change Network for Safe Medication Recommendation. IEEE International Conference on Bioinformatics and Biomedicine.DOI
  297. Bolin Wang, Yuan-Yuan Sun, Yong-He Chu, Zhihao Yang, Hongfei Lin (2022). Global-locality preserving projection for word embedding. International Journal of Machine Learning and Cybernetics.DOI
  298. Santosh Kumar Banbhrani, Bo Xu, Hongfei Lin, Dileep Kumar Sajnani (2022). Spider Taylor-ChOA: Optimized Deep Learning Based Sentiment Classification for Review Rating Prediction. Applied Sciences.DOI
  299. Zhi-Zheng Wang, Yuan-Yuan Sun, Xu-Yang Hu, Jiafeng Zhao, Zhihao Yang, Hongfei Lin (2022). A Semantic Network Encoder for Associated Fact Prediction. IEEE Transactions on Knowledge and Data Engineering.DOI
  300. P. Zhou, Yi-Jia Zhang, Fei Chen, Mingyu Lu, Wenqiang Qu, Hongfei Lin, Xiaoxia Liu (2022). Contrastive Self-Supervised Representation Learning for Protein Complexes Identification. IEEE International Conference on Bioinformatics and Biomedicine.DOI
  301. Ding-Hao Pan, Zhihao Yang, Haixin Tan, Jiangming Wu, Hongfei Lin (2022). Dialogue Topic Extraction as Sentence Sequence Labeling. Natural Language Processing and Chinese Computing.DOI
  302. Santosh Kumar Banbhrani, Bo Xu, Hongfei Lin, Dileep Kumar Sajnani (2022). Taylor-ChOA: Taylor-Chimp Optimized Random Multimodal Deep Learning-Based Sentiment Classification Model for Course Recommendation. Mathematics.DOI
  303. Yingwen Zhao, Zhihao Yang, Yongkai Hong, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang (2022). Adaptive Multi-view Graph Convolutional Network for Gene Ontology Annotations of Proteins. IEEE International Conference on Bioinformatics and Biomedicine.DOI
  304. Ming Yang, Yi-Jia Zhang, Santosh Kumar Banbhrani, Hongfei Lin, Mingyu Lu (2022). Document-Level Relation Extraction with a Dependency Syntax Transformer and Supervised Contrastive Learning. China Conference on Knowledge Graph and Semantic Computing.DOI
  305. Yu Cao, Yuan-Yuan Sun, Ce Xu, Chunnan Li, Jinming Du, Hongfei Lin (2022). CAILIE 1.0: A dataset for Challenge of AI in Law - Information Extraction V1.0. AI Open.DOI
  306. Santosh Kumar Banbhrani, Bo Xu, Pir Dino Soomro, D. Jain, Hongfei Lin (2022). TDO-Spider Taylor ChOA: An Optimized Deep-Learning-Based Sentiment Classification and Review Rating Prediction. Applied Sciences.DOI
  307. Peng Chen, Jian Wang, Hongfei Lin, Yichen Wang, Di Zhao, Yi-Jia Zhang (2022). Syntactic Type-aware Graph Attention Network for Drug-drug Interactions and their Adverse Effects Extraction. IEEE International Conference on Bioinformatics and Biomedicine.DOI
  308. Yan Zhang, Ji-Ru Li, Zhihao Yang, Hongfei Lin, Jian Wang (2022). Location-Guided Token Pair Tagger for Joint Biomedical Entity and Relation Extraction. IEEE International Conference on Bioinformatics and Biomedicine.DOI
  309. Jinzhong Ning, Ji-Ru Li, Zhihao Yang, Yuan-Yuan Sun, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang (2022). BioNER-CFEM: Biomedical Named Entity Recognition Based on Character Feature Enhancement with Multimodal Method. IEEE International Conference on Bioinformatics and Biomedicine.DOI
  310. Haifeng Liu, Yu–Kai Wang, Hongfei Lin, Bo Xu, Nan Zhao (2022). Mitigating sensitive data exposure with adversarial learning for fairness recommendation systems. Neural Computing and Applications.DOI
  311. Haifeng Liu, Hongfei Lin, Wenqi Fan, Yuqi Ren, Bo Xu, Xiaokun Zhang, Dongzhen Wen, Nan Zhao, Yuan Lin, Liang Yang (2022). Self-supervised learning for fair recommender systems. Applied Soft Computing.DOI
  312. Yan Wang, Jian Wang, Hongfei Lin, Yijia Zhang, Zhihao Yang (2022). Dependency multi-weight-view graphs for event detection with label co-occurrence. Information Sciences.DOI
  313. Haifeng Liu, Hongfei Lin, Bo Xu, Nan Zhao, Dongzhen Wen, Xiaokun Zhang, Yuan Lin (2022). Perceived individual fairness with a molecular representation for medicine recommendations. Knowledge-Based Systems.DOI
  314. Lingfei Qian, Jian Wang, Hongfei Lin, Liang Yang (2022). Multi-perspective respondent representations for answer ranking in community question answering. Information Sciences.DOI
  315. Xingwang Li, Yijia Zhang, Jian Wang, Mingyu Lu, Hongfei Lin (2022). Knowledge-Enhanced Dual Graph Neural Network for Robust Medicine Recommendation. IEEE International Conference on Bioinformatics and Biomedicine (BIBM).DOI
  316. Hui Ma, Jian Wang, Hongfei Lin, Bo Xu (2022). Graph augmented sequence-to-sequence model for neural question generation. Applied Intelligence.DOI
  317. Zhizheng Wang, Xiao Fan Liu, Zhanwei Du, Lin Wang, Ye Wu, Petter Holme, Michael Lachmann, Hongfei Lin, Zoie Shui-Yee Wong, Xiao-Ke Xu, Yuanyuan Sun (2022). Epidemiologic information discovery from open-access COVID-19 case reports via pretrained language model. iScience.DOI
  318. Bo Xu, Hongfei Lin, Yuan Lin, Kan Xu (2022). Context-aware ranking refinement with attentive semi-supervised autoencoders. Soft Computing.DOI
  319. Xiaokun Zhang, Bo Xu, Liang Yang, Chenliang Li, Fenglong Ma, Haifeng Liu, Hongfei Lin (2022). Price DOES Matter! International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR).DOI
  320. Bo Xu, Tingting Li, Junzhe Zheng, Mehdi Naseriparsa, Zhehuan Zhao, Hongfei Lin, Feng Xia (2022). MET-Meme: A Multimodal Meme Dataset Rich in Metaphors. International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR).DOI
  321. Bin Cui, Jian Wang, Hongfei Lin, Yijia Zhang, Liang Yang, Bo Xu (2022). Emotion-Based Reinforcement Attention Network for Depression Detection on Social Media: Algorithm Development and Validation. JMIR Medical Informatics.DOI
  322. Wentai Tang, Jian Wang, Hongfei Lin, Di Zhao, Bo Xu, Yijia Zhang, Zhihao Yang (2022). A Syntactic Information–Based Classification Model for Medical Literature: Algorithm Development and Validation Study. JMIR Medical Informatics.DOI
  323. Xin Wang, Jian Wang, Bo Xu, Hongfei Lin, Bo Zhang, Zhihao Yang (2022). Exploiting Intersentence Information for Better Question-Driven Abstractive Summarization: Algorithm Development and Validation. JMIR Medical Informatics.DOI
  324. Hui Ma, Jian Wang, Hongfei Lin, Liang Yang (2022). Global and local interaction matching model for knowledge-grounded response selection in retrieval-based chatbots. Neurocomputing.DOI
  325. Yan Wang, Jian Wang, Huiyi Lu, Bing Xu, Yijia Zhang, Santosh Kumar Banbhrani, Hongfei Lin (2022). Conditional Probability Joint Extraction of Nested Biomedical Events: Design of a Unified Extraction Framework Based on Neural Networks. JMIR Medical Informatics.DOI
  326. Lingfei Qian, Jian Wang, Hongfei Lin, Liang Yang, Zhang Yu (2022). Multi-hop interactive attention based classification network for expert recommendation. Neurocomputing.DOI
  327. Liang Yang, Shuqun Li, Xi Luo, Bo Xu, Yuanling Geng, Zeyuan Zeng, Fan Zhang, Hongfei Lin (2022). Computational personality: a survey. Soft Computing.DOI
  328. Haifeng Liu, Nan Zhao, Xiaokun Zhang, Hongfei Lin, Liang Yang, Bo Xu, Yuan Lin, Wenqi Fan (2022). Dual constraints and adversarial learning for fair recommenders. Knowledge-Based Systems.DOI
  329. Lingfei Qian, Jian Wang, Hongfei Lin, Bo Xu, Liang Yang (2022). Heterogeneous information network embedding based on multiperspective metapath for question routing. Knowledge-Based Systems.DOI
  330. Bo Zhang, Jian Wang, Hongfei Lin, Hui Ma, Bo Xu (2022). Exploiting Pairwise Mutual Information for Knowledge-Grounded Dialogue. IEEE/ACM Transactions on Audio Speech and Language Processing.DOI
  331. Junyu Lu, Hao Zhang, Zhexu Shen, Kai Shi, Liang Yang, Bo Xu, Shaowu Zhang, Hongfei Lin (2022). Multi-task Hierarchical Cross-Attention Network for Multi-label Text Classification. Lecture notes in computer science.DOI
  332. Junyu Lu, Hao Zhang, Tongyue Zhang, Hongbo Wang, Haohao Zhu, Bo Xu, Hongfei Lin (2022). GUTS at SemEval-2022 Task 4: Adversarial Training and Balancing Methods for Patronizing and Condescending Language Detection. International Workshop on Semantic Evaluation (SemEval).DOI
  333. Zefeng Li, Hongfei Lin, Liang Yang, Bo Xu, Shaowu Zhang (2022). Memeplate: A Chinese Multimodal Dataset for Humor Understanding in Meme Templates. Lecture notes in computer science.DOI
  334. Kai Shi, Shao‐Wu Zhang, Haifeng Liu, Yijia Zhang, Hongfei Lin (2022). MGEDR: A Molecular Graph Encoder for Drug Recommendation. Lecture notes in computer science.DOI
  335. 王治政,王雷,李帅驰,孙媛媛,陈彦光,许策,王刚,林鸿飞(2021). 基于多视角知识图谱嵌入的量刑预测. 《模式识别与人工智能》.DOI
  336. 孙源,王健,张益嘉,钱凌飞,林鸿飞(2021). 融合粗细粒度信息的长答案选择神经网络模型. 《中文信息学报》.
  337. 宋雅文,杨志豪,罗凌,王磊,张音,林鸿飞,王健(2021). 基于字符卷积神经网络的生物医学变异实体识别方法. 《中文信息学报》.
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  339. 樊小超,杨亮,林鸿飞,刁宇峰,申晨,楚永贺(2021). 基于多语义融合的反讽识别. 《中文信息学报》.
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  343. Wen-Hui Song, Xiang Zhou, Ping Yang, Yuan-Yuan Sun, Liang Yang, Hongfei Lin(2021). 面向法律文本的实体关系联合抽取算法(Joint Entity and Relation Extraction for Legal Texts). China National Conference on Chinese Computational Linguistics.
  344. Chen-Guang Wang, Hongfei Lin, Liang Yang(2021). 基于风格化嵌入的中文文本风格迁移(Chinese text style transfer based on stylized embedding). China National Conference on Chinese Computational Linguistics.
  345. Lu Ren, Hongfei Lin, Bo Xu, Shao-Wu Zhang, Liang Yang, Shichang Sun (2021). Depression Detection on Reddit With an Emotion-Based Attention Network: Algorithm Development and Validation. JMIR Medical Informatics.DOI
  346. Tongxuan Zhang, Hongfei Lin, Yuqi Ren, Zhihao Yang, Jian Wang, Xiaodong Duan, Bo Xu (2021). Identifying adverse drug reaction entities from social media with adversarial transfer learning model. Neurocomputing.DOI
  347. Wei-Dong Bao, Hongfei Lin, Yi-Jia Zhang, Jian Wang, Shao-Wu Zhang (2021). Medical code prediction via capsule networks and ICD knowledge. BMC Medical Informatics and Decision Making.DOI
  348. Yi Sun, Jian Wang, Hongfei Lin, Yi-Jia Zhang, Zhi-Hao Yang (2021). Knowledge Guided Attention and Graph Convolutional Networks for Chemical-Disease Relation Extraction. IEEE/ACM Transactions on Computational Biology & Bioinformatics.DOI
  349. Qiming Liu, Zhi-Hao Yang, Lei Wang, Yin Zhang, Hongfei Lin, Jinzhong Ning (2021). SGAT: a Self-supervised Graph Attention Network for Biomedical Relation Extraction. IEEE International Conference on Bioinformatics and Biomedicine.DOI
  350. Bo Xu, Hongfei Lin, Yuan Lin, Kan Xu (2021). Two-stage supervised ranking for emotion cause extraction. Knowledge-Based Systems.DOI
  351. Di Zhao, Jian Wang, Hongfei Lin, Xin Wang, Zhihao Yang, Yi-Jia Zhang (2021). Biomedical cross-sentence relation extraction via multihead attention and graph convolutional networks. Applied Soft Computing.DOI
  352. Zhengguang Li, Heng Chen, Ruihua Qi, Hongfei Lin, Huayue Chen (2021). DocR-BERT: Document-Level R-BERT for Chemical-Induced Disease Relation Extraction via Gaussian Probability Distribution. IEEE journal of biomedical and health informatics.DOI
  353. Xiaokun Zhang, Hongfei Lin, Liang Yang, Bo Xu, Yu-Feng Diao, Lu Ren (2021). Dual Part-pooling Attentive Networks for Session-based Recommendation. Neurocomputing.DOI
  354. Yuan Lin, Zhang Xie, Bo Xu, Kan Xu, Hongfei Lin (2021). Info-flow Enhanced GANs for Recommender. Annual International ACM SIGIR Conference on Research and Development in Information Retrieval.DOI
  355. Lu Ren, Hongfei Lin, Bo Xu, Liang Yang, Dongyu Zhang (2021). Learning to capture contrast in sarcasm with contextual dual-view attention network. International Journal of Machine Learning and Cybernetics.DOI
  356. Hui Ma, Jian Wang, Hongfei Lin, Yi-Jia Zhang (2021). Hierarchical matching network for multi-turn response selection in retrieval-based chatbots. Soft Computing - A Fusion of Foundations, Methodologies and Applications.DOI
  357. Xianbing Zhou, Yang Yong, Xiao-Chao Fan, Ge Ren, Yunfeng Song, Yu-Feng Diao, Liang Yang, Hongfei Lin (2021). Hate Speech Detection Based on Sentiment Knowledge Sharing. Annual Meeting of the Association for Computational Linguistics.DOI
  358. Dongyu Zhang, Minghao Zhang, Heting Zhang, Liang Yang, Hongfei Lin (2021). MultiMET: A Multimodal Dataset for Metaphor Understanding. Annual Meeting of the Association for Computational Linguistics.DOI
  359. Jiacheng Li, Shao-Wu Zhang, Yi-Jia Zhang, Hongfei Lin, Jian Wang (2021). Multifeature Fusion Attention Network for Suicide Risk Assessment Based on Social Media: Algorithm Development and Validation. JMIR Medical Informatics.DOI
  360. Di Zhao, Jian Wang, Yong-He Chu, Yi-Jia Zhang, Zhihao Yang, Hongfei Lin (2021). Improving biomedical word representation with locally linear embedding. Neurocomputing.DOI
  361. Lele Yu, Shao-Wu Zhang, Yi-Jia Zhang, Hongfei Lin (2021). Improving Human Happiness Analysis Based on Transfer Learning: Algorithm Development and Validation. JMIR Medical Informatics.DOI
  362. Tongxuan Zhang, Hongfei Lin, Yuqi Ren, Zhihao Yang, Jian Wang, Shao-Wu Zhang, Bo Xu, Xiaodong Duan (2021). Adversarial transfer network with bilinear attention for the detection of adverse drug reactions from social media. Applied Soft Computing.DOI
  363. Di Zhao, Jian Wang, Hongfei Lin, Yong-He Chu, Yan Wang, Yi-Jia Zhang, Zhihao Yang (2021). Sentence representation with manifold learning for biomedical texts. Knowledge-Based Systems.DOI
  364. Cong Hui Sun, Zhihao Yang, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang (2021). Deep learning with language models improves named entity recognition for PharmaCoNER. BMC Bioinformatics.DOI
  365. Peng Chen, Jian Wang, Hongfei Lin, Yijia Zhang, Zhihao Yang, Di Zhao, Hui Ma (2021). Co-Attentive Span Network with Multi-task learning for Biomedical Named Entity Recognition. IEEE International Conference on Bioinformatics and Biomedicine (BIBM).DOI
  366. Haifeng Liu, Hongfei Lin, Chen Shen, Zhihao Yang, Jian Wang, Liang Yang (2021). Self-Supervised Learning with Heterogeneous Graph Neural Network for COVID-19 Drug Recommendation. IEEE International Conference on Bioinformatics and Biomedicine (BIBM).DOI
  367. Zhehuan Zhao, Yuying Zou, Yang Tian, Bo Xu, Zhihao Yang, Jian Wang, Hongfei Lin, Shimin Shan, Yü Liu (2021). TL-BERT: A Novel Biomedical Relation Extraction Approach. IEEE International Conference on Bioinformatics and Biomedicine (BIBM).DOI
  368. Hui Ma, Jian Wang, Hongfei Lin, Xuejun Pan, Yijia Zhang, Zhihao Yang (2021). A multi-view network for real-time emotion recognition in conversations. Knowledge-Based Systems.DOI
  369. Cong Hui Sun, Zhihao Yang, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang (2021). MRC4BioER: Joint extraction of biomedical entities and relations in the machine reading comprehension framework. Journal of Biomedical Informatics.DOI
  370. Haifeng Liu, Hongfei Lin, Chen Shen, Liang Yang, Yuan Lin, Bo Xu, Zhihao Yang, Jian Wang, Yuanyuan Sun (2021). A network representation approach for COVID-19 drug recommendation. Methods.DOI
  371. Santosh Kumar Banbhrani, Bo Xu, Haifeng Liu, Hongfei Lin (2021). SC-Political ResNet: Hashtag Recommendation from Tweets Using Hybrid Optimization-Based Deep Residual Network. Information.DOI
  372. Yuan Lin, Bo Xu, Jiaojiao Feng, Hongfei Lin, Kan Xu (2021). Knowledge-enhanced recommendation using item embedding and path attention. Knowledge-Based Systems.DOI
  373. Tongxuan Zhang, Hongfei Lin, Bo Xu, Liang Yang, Jian Wang, Xiaodong Duan (2021). Adversarial neural network with sentiment-aware attention for detecting adverse drug reactions. Journal of Biomedical Informatics.DOI
  374. Lu Ren, Bo Xu, Hongfei Lin, Liang Yang (2021). ABML: attention-based multi-task learning for jointly humor recognition and pun detection. Soft Computing.DOI
  375. Zeyuan Ding, Zhihao Yang, Hongfei Lin, Jian Wang (2021). Focus on Interaction: A Novel Dynamic Graph Model for Joint Multiple Intent Detection and Slot Filling.DOI
  376. Lu Ren, Bo Xu, Hongfei Lin, Jinhui Zhang, Liang Yang (2021). An attention network via pronunciation, lexicon and syntax for humor recognition. Applied Intelligence.DOI
  377. Zeyuan Zeng, Shaowu Zhang, Lu Ren, Hongfei Lin, Liang Yang (2021). Senti-BSAS: A BERT-based Classification Model with Sentiment Calculating for Happiness Research. International Conference on Computing and Artificial Intelligence (ICCAI).DOI
  378. Jiaming Wu, Hongfei Lin, Liang Yang, Bo Xu (2021). MUMOR: A Multimodal Dataset for Humor Detection in Conversations. Lecture notes in computer science.DOI
  379. Xianbing Zhou, Liang Yang, Xiaochao Fan, Ge Ren, Yong Yang, Hongfei Lin (2021). Self-training vs Pre-trained Embeddings for Automatic Essay Scoring. Lecture notes in computer science.DOI
  380. Mengyuan Qian, Jian Wang, Hongfei Lin, Di Zhao, Yijia Zhang, Wentai Tang, Zhihao Yang (2021). Auto-learning Convolution-Based Graph Convolutional Network for Medical Relation Extraction. Lecture notes in computer science.DOI
  381. Shuqun Li, Liang Yang, Weidong He, Shiqi Zhang, Jingjie Zeng, Hongfei Lin (2021). Label-Enhanced Hierarchical Contextualized Representation for Sequential Metaphor Identification. Conference on Empirical Methods in Natural Language Processing (EMNLP).DOI
  382. Liang Yang, Jingjie Zeng, Shuqun Li, Zhexu Shen, Yansong Sun, Hongfei Lin (2021). Metaphor Recognition and Analysis via Data Augmentation. Lecture notes in computer science.DOI
  383. Yuanling Geng, Shuqun Li, Fan Zhang, Shaowu Zhang, Liang Yang, Hongfei Lin (2021). Context-Aware and Data-Augmented Transformer for Interactive Argument Pair Identification. Lecture notes in computer science.DOI
  384. Changrong Min, Yonghe Chu, Liang Yang, Bo Xu, Hongfei Lin (2021). Locality Preserving Sentence Encoding.DOI
  385. Yu Wang, Shao‐Wu Zhang, Yijia Zhang, Liang Yang, Hongfei Lin (2021). A Drug Repositioning Method Based on Heterogeneous Graph Neural Network. Lecture notes in computer science.DOI
  386. 张冬瑜,崔紫娟,李映夏,张伟,林鸿飞(2020). 基于Transformer和BERT的名词隐喻识别. 《数据分析与知识发现》, No. 4.下载原文
  387. 罗凌,杨志豪,宋雅文,李楠,林鸿飞(2020). 基于笔画ELMo和多任务学习的中文电子病历命名实体识别研究. 《计算机学报》.
  388. Jinhui Zhang, Shao-Wu Zhang, Xiao-Chao Fan, Liang Yang, Hongfei Lin(2020). 基于多粒度语义交互理解网络的幽默等级识别(A Multi-Granularity Semantic Interaction Understanding Network for Humor Level Recognition). China National Conference on Chinese Computational Linguistics.
  389. Hai-Shun Liu, Lei Wang, Yang Chen, Shu-Cheng Zhang, Yuan-Yuan Sun, Hongfei Lin(2020). 基于预训练语言模型的案件要素识别方法(A Method for Case Factor Recognition Based on Pre-trained Language Models). China National Conference on Chinese Computational Linguistics.
  390. Yong-He Chu, Hongfei Lin, Liang Yang, Dongyu Zhang, Shao-Wu Zhang, Yu-Feng Diao, De-Qin Yan (2020). Fuzzy ELM for classification based on feature space. Multimedia tools and applications.DOI
  391. Shuqun Li, Jingjie Zeng, Jinhui Zhang, Tao Peng, Liang Yang, Hongfei Lin (2020). ALBERT-BiLSTM for Sequential Metaphor Detection. FIGLANG.DOI
  392. Yu-Feng Diao, Liang Yang, Xiao-Chao Fan, Yong-He Chu, Di Wu, Shao-Wu Zhang, Hongfei Lin (2020). AFPun-GAN: Ambiguity-Fluency Generative Adversarial Network for Pun Generation. Natural Language Processing and Chinese Computing.DOI
  393. Xi-Kai Liu, Hongfei Lin, Yumeng Li, Yuqi Ren, Bo Xu (2020). Generating Dialogue Responses with Latent Lexical Meaning. Chinese Lexical Semantics.DOI
  394. Jian Wang, Mengying Li, Qishuai Diao, Hongfei Lin, Zhihao Yang, Yi-Jia Zhang (2020). Biomedical document triage using a hierarchical attention-based capsule network. BMC Bioinformatics.DOI
  395. Yu-Feng Diao, Hongfei Lin, Liang Yang, Xiao-Chao Fan, Yong-He Chu, Di Wu, Dongyu Zhang, Kan Xu (2020). CRHASum: extractive text summarization with contextualized-representation hierarchical-attention summarization network. Neural computing & applications (Print).DOI
  396. Xiao-Chao Fan, Hongfei Lin, Liang Yang, Yu-Feng Diao, Chen Shen, Yong-He Chu, Tongxuan Zhang (2020). Phonetics and Ambiguity Comprehension Gated Attention Network for Humor Recognition. Complex.DOI
  397. Erniu Wang, Fan Wang, Zhihao Yang, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang (2020). Extracting biomedical relations via a multi-head attention based graph convolutional network. IEEE International Conference on Bioinformatics and Biomedicine.DOI
  398. Tongxuan Zhang, Hongfei Lin, Bo Xu, Yuqi Ren, Zhihao Yang, Jian Wang, Xiaodong Duan (2020). Gated iterative capsule network for adverse drug reaction detection from social media. IEEE International Conference on Bioinformatics and Biomedicine.DOI
  399. Yuan Lin, Jiaping Li, Liang Yang, Kan Xu, Hongfei Lin (2020). Sentiment Analysis With Comparison Enhanced Deep Neural Network. IEEE Access.DOI
  400. Haifeng Liu, Hongfei Lin, Bo Xu, Liang Yang, Yuan Lin, Yong-He Chu, Wenqi Fan, Nan Zhao (2020). Improving Social Recommendations with Item Relationships. International Conference on Neural Information Processing.DOI
  401. Yu-Feng Diao, Hongfei Lin, Liang Yang, Xiao-Chao Fan, Di Wu, Zhihao Yang, Jian Wang, Kan Xu (2020). FBSN: A hybrid fine-grained neural network for biomedical event trigger identification. Neurocomputing.DOI
  402. Lu Ren, Bo Xu, Hongfei Lin, Xi-Kai Liu, Liang Yang (2020). Sarcasm Detection with Sentiment Semantics Enhanced Multi-level Memory Network. Neurocomputing.DOI
  403. Xiao-Chao Fan, Hongfei Lin, Liang Yang, Yu-Feng Diao, Chen Shen, Yong-He Chu, Y. Zou (2020). Humor detection via an internal and external neural network. Neurocomputing.DOI
  404. Hui Ma, Jian Wang, Lingfei Qian, Hongfei Lin (2020). HAN-ReGRU: hierarchical attention network with residual gated recurrent unit for emotion recognition in conversation. Neural computing & applications (Print).DOI
  405. Chen Shen, Hongfei Lin, Zhengguang Li, Yong-He Chu, Zhihao Yang (2020). Sensitivity-controlled event trigger identification in multi-level biomedical context. International Journal of Data Mining and Bioinformatics.DOI
  406. Haifeng Liu, Hongfei Lin, Chen Shen, Liang Yang, Yuan Lin, Bo Xu, Zhihao Yang, Jian Wang, Yuan-Yuan Sun (2020). Drug Repositioning for SARS-CoV-2 Based on Graph Neural Network. IEEE International Conference on Bioinformatics and Biomedicine.DOI
  407. Zhi-Heng Li, Zhihao Yang, Ling Luo, Yang Xiang, Hongfei Lin (2020). Exploiting adversarial transfer learning for adverse drug reaction detection from texts. Journal of Biomedical Informatics.DOI
  408. Zhengguang Li, Hongfei Lin, Wei Zheng, Michael M. Tadesse, Zhihao Yang, Jian Wang (2020). Interactive Self-Attentive Siamese Network for Biomedical Sentence Similarity. IEEE Access.DOI
  409. Cong Sun, Zhihao Yang, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang (2020). Biomedical named entity recognition using BERT in the machine reading comprehension framework. Journal of Biomedical Informatics.DOI
  410. Zhengguang Li, Hongfei Lin, Wei Zheng (2020). An Effective Emotional Expression and Knowledge-Enhanced Method for Detecting Adverse Drug Reactions. IEEE Access.DOI
  411. Tongxuan Zhang, Hongfei Lin, Michael M. Tadesse, Yuqi Ren, Xiaodong Duan, Bo Xu (2020). Chinese medical relation extraction based on multi-hop self-attention mechanism. International Journal of Machine Learning and Cybernetics.DOI
  412. Yanguang Chen, Yuan-Yuan Sun, Zhihao Yang, Hongfei Lin (2020). Joint Entity and Relation Extraction for Legal Documents with Legal Feature Enhancement. International Conference on Computational Linguistics.DOI
  413. Yu-Feng Diao, Hongfei Lin, Liang Yang, Xiao-Chao Fan, Yong-He Chu, Di Wu, Kan Xu (2020). Emotion cause detection with enhanced-representation attention convolutional-context network. Soft Computing - A Fusion of Foundations, Methodologies and Applications.DOI
  414. Zhi-Heng Li, Zhihao Yang, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang (2020). Lexicon Knowledge Boosted Interaction Graph Network for Adverse Drug Reaction Recognition From Social Media. IEEE journal of biomedical and health informatics.DOI
  415. Dongyu Zhang, Zi-Juan Cui, YingXia Li, Wei Zhang, Hongfei Lin (2020). Identifying Noun Metaphors with Transformer and BERT.DOI
  416. Fengqing Zhou, Jinhui Zhang, Tao Peng, Liang Yang, Hongfei Lin (2020). Weighted Pre-trained Language Models for Multi-Aspect-Based Multi-Sentiment Analysis. Natural Language Processing and Chinese Computing.DOI
  417. Yu Wang, Shao-Wu Zhang, Yi-Jia Zhang, Jian Wang, Hongfei Lin (2020). Extracting Protein-Protein Interactions Affected by Mutations via Auxiliary Task and Domain Pre-trained Model. IEEE International Conference on Bioinformatics and Biomedicine.DOI
  418. Liang Yang, Jingjie Zeng, Tao Peng, Xi Luo, Jinghui Zhang, Hongfei Lin (2020). Leniency to those who confess?: Predicting the Legal Judgement via Multi-Modal Analysis. International Conference on Multimodal Interaction.DOI
  419. Chen Shen, Hongfei Lin, Zhi-Heng Li, Yong-He Chu, Zhengguang Li, Zhihao Yang (2020). A Graph-boosted Framework for Adverse Drug Event Detection on Twitter. IEEE International Conference on Bioinformatics and Biomedicine.DOI
  420. Di Zhao, Jian Wang, Yi-Jia Zhang, Xin Wang, Hongfei Lin, Zhihao Yang (2020). Incorporating representation learning and multihead attention to improve biomedical cross-sentence n-ary relation extraction. BMC Bioinformatics.DOI
  421. Yu-Feng Diao, Hongfei Lin, Liang Yang, Xiao-Chao Fan, Di Wu, Kan Xu (2020). Homographic pun location using multi-dimensional semantic relationships. Soft Computing - A Fusion of Foundations, Methodologies and Applications.DOI
  422. Donzhen Wen, Liang Yang, Yingying Zhang, Yuan Lin, Kan Xu, Hongfei Lin (2020). Multi-level Semantic Representation Model for Code Search. Joint Conference of the Information Retrieval Communities in Europe.
  423. Nan Li, Zhihao Yang, Ling Luo, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang (2020). KGHC: a knowledge graph for hepatocellular carcinoma. BMC Medical Informatics and Decision Making.DOI
  424. Ling Luo, Zhihao Yang, Ming-Yu Cao, Lei Wang, Yin Zhang, Hongfei Lin (2020). A neural network-based joint learning approach for biomedical entity and relation extraction from biomedical literature. Journal of Biomedical Informatics.DOI
  425. Cong Sun, Zhihao Yang, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang (2020). Attention guided capsule networks for chemical-protein interaction extraction. Journal of Biomedical Informatics.DOI
  426. Yu-Feng Diao, Hongfei Lin, Liang Yang, Xiao-Chao Fan, Yong-He Chu, Kan Xu, Di Wu (2020). A Multi-Dimension Question Answering Network for Sarcasm Detection. IEEE Access.DOI
  427. Yu-Feng Diao, Hongfei Lin, Liang Yang, Xiao-Chao Fan, Di Wu, Kan Xu (2020). CRGA: Homographic pun detection with a contextualized-representation: Gated attention network. Knowledge-Based Systems.DOI
  428. Zhi-Heng Li, Zhihao Yang, Yang Xiang, Ling Luo, Yuan-Yuan Sun, Hongfei Lin (2020). Exploiting sequence labeling framework to extract document-level relations from biomedical texts. BMC Bioinformatics.DOI
  429. Zhengguang Li, Hongfei Lin, Chen Shen, Wei Zheng, Zhihao Yang, Jian Wang (2020). Cross2Self-attentive Bidirectional Recurrent Neural Network with BERT for Biomedical Semantic Text Similarity. IEEE International Conference on Bioinformatics and Biomedicine.DOI
  430. Yuan Xu, Zhihao Yang, Yawen Song, Zhi-Heng Li, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang (2020). Star-BiLSTM-LAN for Document-level Mutation-Disease Relation Extraction from Biomedical Literature. IEEE International Conference on Bioinformatics and Biomedicine.DOI
  431. Yuan Lin, Bo Xu, Hongfei Lin, Man Xu, Ping Zhang (2019). FGFIREM: A feature generation framework based on information retrieval evaluation measures. Expert Systems With Applications, Vol. 133.DOI
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  438. Di Zhao, Jian Wang, Hongfei Lin, Zhihao Yang, Yi-Jia Zhang (2019). Extracting drug-drug interactions with hybrid bidirectional gated recurrent unit and graph convolutional network. Journal of Biomedical Informatics.DOI
  439. Chen Shen, Hongfei Lin, Huihui Hao, Zhihao Yang, Jian Wang, Shao-Wu Zhang (2019). Intelligent multi-document summarization for biomedical literature by word embeddings and graph-based ranking. Journal of Intelligent & Fuzzy Systems.DOI
  440. Yong-He Chu, Hongfei Lin, Liang Yang, Yu-Feng Diao, Dongyu Zhang, Shao-Wu Zhang, Xiao-Chao Fan, Chen Shen, De-Qin Yan (2019). Globality-Locality Preserving Maximum Variance Extreme Learning Machine. Complex.DOI
  441. Yingdong Li, Jian Wang, Hongfei Lin, Shao-Wu Zhang, Zhihao Yang (2019). Residual Connected Enhanced Sequential Inference Model for Natural Language Inference. International Conference on Intelligent Systems and Knowledge Engineering.DOI
  442. Yong-He Chu, Hongfei Lin, Liang Yang, Yu-Feng Diao, Shao-Wu Zhang, Xiao-Chao Fan (2019). Refining Word Representations by Manifold Learning. International Joint Conference on Artificial Intelligence.DOI
  443. Licheng Cui, Huawei Zhai, Hongfei Lin (2019). A Novel Orthogonal Extreme Learning Machine for Regression and Classification Problems. Symmetry.DOI
  444. Bo Xu, Yu Liu, Shuo Yu, Lei Wang, Jie Dong, Hongfei Lin, Zhihao Yang, Jian Wang, Feng Xia (2019). A network embedding model for pathogenic genes prediction by multi-path random walking on heterogeneous network. BMC Medical Genomics.DOI
  445. Chen Shen, Hongfei Lin, Xiao-Chao Fan, Yong-He Chu, Zhihao Yang, Jian Wang, Shao-Wu Zhang (2019). Biomedical event trigger detection with convolutional highway neural network and extreme learning machine. Applied Soft Computing.DOI
  446. Jingkun Feng, Zhihao Yang, Zhiqiang Liu, Ling Luo, Hongfei Lin, Jian Wang (2019). DUTIR at TREC 2019: Precision Medicine Track. Text Retrieval Conference.
  447. Bo Xu, Hongfei Lin, Liang Yang, Kan Xu, Yi-Jia Zhang, Dongyu Zhang, Zhihao Yang, Jian Wang, Yuan Lin, Fuliang Yin (2019). A supervised term ranking model for diversity enhanced biomedical information retrieval. BMC Bioinformatics.DOI
  448. Yumeng Li, Liang Yang, Bo Xu, Jian Wang, Hongfei Lin (2019). Improving User Attribute Classification with Text and Social Network Attention. Cognitive Computation.DOI
  449. Bo Xu, Hongfei Lin, Yuan Lin, Kan Xu, Lin Wang, Jiping Gao (2019). Incorporating Semantic Word Representations into Query Expansion for Microblog Information Retrieval. Information Technology and Control.DOI
  450. Xiuyuan Yang, Liang Yang, Ran Bi, Hongfei Lin (2019). A Comprehensive Verification of Transformer in Text Classification. China National Conference on Chinese Computational Linguistics.DOI
  451. Weihong Yao, Qiang Hou, Jian Wang, Hongfei Lin, Xuefei Li, Xin Wang (2019). A Personalized Recommendation System Based on User Portrait. Proceedings of the 2019 International Conference on Artificial Intelligence and Computer Science(AICS 2019).DOI
  452. Cong Sun, Zhihao Yang, Ling Luo, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang (2019). A Deep Learning Approach With Deep Contextualized Word Representations for Chemical–Protein Interaction Extraction From Biomedical Literature. IEEE Access.DOI
  453. Tongxuan Zhang, Hongfei Lin, Yuqi Ren, Liang Yang, Bo Xu, Zhihao Yang, Jian Wang, Yi-Jia Zhang (2019). Adverse drug reaction detection via a multihop self-attention mechanism. BMC Bioinformatics.DOI
  454. Xiaoling Sun, K. Ding, Yuan Lin, Hongfei Lin (2019). Open Science Behavior of AI Industry: Collaboration Patterns and Topics from the Perspective of Cross-Institutional Authors. International Conference on Scientometrics and Informetrics.
  455. Shengtian Sang, Zhihao Yang, Xiaoxia Liu, Lei Wang, Hongfei Lin, Jian Wang, M. Dumontier (2019). GrEDeL: A Knowledge Graph Embedding Based Method for Drug Discovery From Biomedical Literatures. IEEE Access.DOI
  456. Bo Xu, Hongfei Lin, Yuan Lin, Kan Xu (2019). Incorporating query constraints for autoencoder enhanced ranking. Neurocomputing.DOI
  457. Bo Xu, Hongfei Lin, Yuan Lin, Y. Guan (2019). Integrating social annotations into topic models for personalized document retrieval. Soft Computing - A Fusion of Foundations, Methodologies and Applications.DOI
  458. Xiaoxia Liu, Zhihao Yang, Shengtian Sang, Hongfei Lin, Jian Wang, Bo Xu (2019). Detection of protein complexes from multiple protein interaction networks using graph embedding. Artif. Intell. Medicine.DOI
  459. Tongxuan Zhang, Yuqi Ren, Michael Mesfin Tadessem, Bo Xu, Xi-Kai Liu, Liang Yang, Zhihao Yang, Jian Wang, Hongfei Lin (2019). Bi-directional Capsule Network Model for Chinese Biomedical Community Question Answering. Natural Language Processing and Chinese Computing.DOI
  460. Dongyu Zhang, Hongfei Lin, Xi-Kai Liu, Heting Zhang, Shao-Wu Zhang (2019). Combining the Attention Network and Semantic Representation for Chinese Verb Metaphor Identification. IEEE Access.DOI
  461. Bo Xu, Hongfei Lin, Yuan Lin, Yu-Feng Diao, Liang Yang, Kan Xu (2019). Extracting Emotion Causes Using Learning to Rank Methods From an Information Retrieval Perspective. IEEE Access.DOI
  462. Michael M. Tadesse, Hongfei Lin, Bo Xu, Liang Yang (2019). Detection of Depression-Related Posts in Reddit Social Media Forum. IEEE Access.DOI
  463. Bo Xu, Yunlong Ma, Hongfei Lin (2019). A hybrid deep neural network model for query intent classification. Journal of Intelligent & Fuzzy Systems.DOI
  464. Dongyu Zhang, Heting Zhang, Xi-Kai Liu, Hongfei Lin, Feng Xia (2019). Telling the Whole Story: A Manually Annotated Chinese Dataset for the Analysis of Humor in Jokes. Conference on Empirical Methods in Natural Language Processing.DOI
  465. Michael M. Tadesse, Hongfei Lin, Bo Xu, Liang Yang (2019). Detection of Suicide Ideation in Social Media Forums Using Deep Learning. Algorithms.DOI
  466. Di Zhao, Jian Wang, Shengtian Sang, Hongfei Lin, Jiabin Wen, Chun-Gi Yang (2019). Relation path feature embedding based convolutional neural network method for drug discovery. BMC Medical Informatics and Decision Making.DOI
  467. Yu-Feng Diao, Hongfei Lin, Liang Yang, Xiao-Chao Fan, Di Wu, Dongyu Zhang, Kan Xu (2019). Heterographic Pun Recognition via Pronunciation and Spelling Understanding Gated Attention Network. The Web Conference.DOI
  468. Qingqing Li, Zhihao Yang, Zhehuan Zhao, Ling Luo, Zhi-Heng Li, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang, Yi-Jia Zhang (2019). HMNPPID—human malignant neoplasm protein–protein interaction database. Human Genomics.DOI
  469. Ling Luo, Zhihao Yang, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang (2019). KeSACNN: a protein-protein interaction article classification approach based on deep neural network. International Journal of Data Mining and Bioinformatics.DOI
  470. Yi-Jia Zhang, Hongfei Lin, Zhihao Yang, Jian Wang, Yuan-Yuan Sun, Bo Xu, Zhehuan Zhao (2019). Neural network-based approaches for biomedical relation classification: A review. Journal of Biomedical Informatics.DOI
  471. Yijia Zhang, Qingyu Chen, Zhihao Yang, Hongfei Lin, Zhi-Yong Lu (2019). BioWordVec, improving biomedical word embeddings with subword information and MeSH. Scientific Data.DOI
  472. Bo Xu, Hongfei Lin, Yuan Lin (2019). Learning to Refine Expansion Terms for Biomedical Information Retrieval Using Semantic Resources. IEEE/ACM Transactions on Computational Biology & Bioinformatics.DOI
  473. Feng Ding, Xiangjie Kong, Zhehuan Zhao, Feng Xia, Anfu Liu, Chenxu Bai, Bo Xu, Xiaoxia Liu, Shengtian Sang, Hongfei Lin, Zhihao Yang, Jian Wang (2019). Disease Gene Prediction Based on Heterogeneous Probabilistic Hypergraph Ranking. IEEE International Conference on Bioinformatics and Biomedicine.DOI
  474. Yu-Feng Diao, Hongfei Lin, Liang Yang, Xiao-Chao Fan, Yong-He Chu, Di Wu, Kan Xu, Bo Xu (2019). Multi-granularity bidirectional attention stream machine comprehension method for emotion cause extraction. Neural computing & applications (Print).DOI
  475. Bo Xu, Xiufeng Shi, Yueqin Yin, Zhehuan Zhao, Wei Zheng, Hongfei Lin, Zhihao Yang, Jian Wang, Feng Xia (2019). Incorporating User Generated Content for Drug Drug Interaction Extraction Based on Full Attention Mechanism. IEEE Transactions on Nanobioscience.DOI
  476. Yi-Jia Zhang, Hongfei Lin, Zhihao Yang, Jian Wang, Yuan-Yuan Sun (2019). Chemical–protein interaction extraction via contextualized word representations and multihead attention. Database J. Biol. Databases Curation.DOI
  477. Jian Wang, Xiaoyu Chen, Yu Zhang, Yi-Jia Zhang, Jiabin Wen, Hongfei Lin, Zhihao Yang, Xin Wang (2019). Document-Level Biomedical Relation Extraction Using Graph Convolutional Network and Multihead Attention: Algorithm Development and Validation. JMIR Medical Informatics.DOI
  478. Cong Sun, Zhihao Yang, Lei-Lei Su, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang (2019). Chemical-protein Interaction Extraction via Gaussian Probability Distribution and External Biomedical Knowledge. Bioinform..DOI
  479. Erniu Wang, Fan Wang, Zhihao Yang, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang (2019). A Graph Convolutional Network–Based Method for Chemical-Protein Interaction Extraction: Algorithm Development. JMIR Medical Informatics.DOI
  480. Bo Xu, Michael M. Tadesse, Peng Fei, Hongfei Lin (2019). Multi-granularity Convolutional Neural Network with Feature Fusion and Refinement for User Profiling. China Conference on Information Retrieval.DOI
  481. Xiao-Chao Fan, Hongfei Lin, Yu-Feng Diao, Y. Zou (2019). An Integrated Biomedical Event Trigger Identification Approach With a Neural Network and Weighted Extreme Learning Machine. IEEE Access.DOI
  482. Jian Wang, Hongfei Lin, Hualei Dong, Daping Xiong, Zhihao Yang (2018). Exploring Answer Information for Question Classification in Community Question Answering. Journal Of Multiple-Valued Logic And Soft Computing, Vol. 31, No. 12.
  483. 杨培,杨志豪,罗凌,林鸿飞,王健(2018). 基于注意机制的化学药物命名实体识别. 《计算机研究与发展》.
  484. 费鹏,林鸿飞,杨亮,徐博,古丽孜热·艾尼外(2018). 一种用于构建用户画像的多视角融合框架. 《计算机科学》.
  485. 李智恒,桂颖溢,杨志豪,林鸿飞,王健(2018). 基于生物医学文献的化学物质致病关系抽取. 《计算机研究与发展》.
  486. 李恒超,林鸿飞,杨亮,徐博,魏晓聪,张绍武,古丽孜热·艾尼外(2018). 一种用于构建用户画像的二级融合算法框架. 《计算机科学》.
  487. 许侃,林原,曲忱,徐博,林鸿飞(2018). 专利查询扩展的词向量方法研究. 《计算机科学与探索》.
  488. 桑盛田,杨志豪,刘晓霞,王磊,赵迪,林鸿飞,王健(2018). 融合知识图谱与深度学习的药物发现方法. 《模式识别与人工智能》.
  489. 张绍武,刘华丽,杨亮,邵华,林鸿飞(2018). 基于图排序模型的微博观点信息识别. 《计算机科学与探索》.
  490. Yan Wang, Jian Wang, Hongfei Lin, Xiwei Tang, Shao-Wu Zhang, Lishuang Li (2018). Bidirectional long short-term memory with CRF for detecting biomedical event trigger in FastText semantic space. BMC Bioinformatics.DOI
  491. Shengtian Sang, Zhihao Yang, Xiaoxia Liu, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang, Liang Yang, Kan Xu, Yi-Jia Zhang (2018). A Knowledge Graph based Bidirectional Recurrent Neural Network Method for Literature-based Discovery. IEEE International Conference on Bioinformatics and Biomedicine.DOI
  492. Cong Sun, Zhihao Yang, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang, Liang Yang, Kan Xu, Yi-Jia Zhang (2018). Hierarchical Recurrent Convolutional Neural Network for Chemical-protein Relation Extraction from Biomedical Literature. IEEE International Conference on Bioinformatics and Biomedicine.DOI
  493. Qingqing Li, Zhihao Yang, Ling Luo, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang, Liang Yang, Kan Xu, Yi-Jia Zhang (2018). A multi-task learning based approach to biomedical entity relation extraction. IEEE International Conference on Bioinformatics and Biomedicine.DOI
  494. Bo Xu, Xiufeng Shi, Zhe-Huan Zha, Wei Zheng, Hongfei Lin, Zhihao Yang, Jian Wang, Feng Xia (2018). Full-attention Based Drug Drug Interaction Extraction Exploiting User-generated Content. IEEE International Conference on Bioinformatics and Biomedicine.DOI
  495. Tianchi Yue, Chen Chen, Shao-Wu Zhang, Hongfei Lin, Liang Yang (2018). Ensemble of Neural Networks with Sentiment Words Translation for Code-Switching Emotion Detection. Natural Language Processing and Chinese Computing.DOI
  496. Ling Luo, Zhihao Yang, Pei Yang, Yin Zhang, Lei Wang, Hongfei Lin, Jian Wang (2018). An attention‐based BiLSTM‐CRF approach to document‐level chemical named entity recognition. Bioinform..DOI
  497. Xiaoxia Liu, Zhihao Yang, Shengtian Sang, Lei Wang, Yin Zhang, Hongfei Lin, Bo Xu, Yi-Jia Zhang, Liang Yang, Kan Xu, Jian Wang (2018). PC-SENE: A node embedding based method for protein complex detection. IEEE International Conference on Bioinformatics and Biomedicine.DOI
  498. Ling Luo, Nan Li, Shuai Li, Zhihao Yang, Hongfei Lin (2018). DUTIR at the CCKS-2018 Task1: A Neural Network Ensemble Approach for Chinese Clinical Named Entity Recognition. CCKS Tasks.
  499. Chen Shen, Hongfei Lin, Kai Guo, Kan Xu, Zhihao Yang, Jian Wang (2018). Detecting adverse drug reactions from social media based on multi-channel convolutional neural networks. Neural computing & applications (Print).DOI
  500. Wei Zheng, Hongfei Lin, Xiaoxia Liu, Bo Xu (2018). A document level neural model integrated domain knowledge for chemical-induced disease relations. BMC Bioinformatics.DOI
  501. Yu-Feng Diao, Hongfei Lin, Di Wu, Liang Yang, Kan Xu, Zhihao Yang, Jian Wang, Shao-Wu Zhang, Bo Xu, Dongyu Zhang (2018). WECA: A WordNet-Encoded Collocation-Attention Network for Homographic Pun Recognition. Conference on Empirical Methods in Natural Language Processing.DOI
  502. Bo Xu, Kun Li, Xiaoxia Liu, Delong Liu, Yi-Jia Zhang, Hongfei Lin, Zhihao Yang, Jian Wang, Feng Xia (2018). Protein Complexes Detection Based on Global Network Representation Learning. IEEE International Conference on Bioinformatics and Biomedicine.DOI
  503. Michael M. Tadesse, Hongfei Lin, Bo Xu, Liang Yang (2018). Personality Predictions Based on User Behavior on the Facebook Social Media Platform. IEEE Access.DOI
  504. Bo Xu, Hongfei Lin, Liang Yang, Kan Xu, Yi-Jia Zhang, Dongyu Zhang, Zhihao Yang, Jian Wang, Yuan Lin, Fuliang Yin (2018). Improve Diversity-oriented Biomedical Information Retrieval using Supervised Query Expansion. IEEE International Conference on Bioinformatics and Biomedicine.DOI
  505. Liang Yang, Dongyu Zhang, Shao-Wu Zhang, Peng Fei, Hongfei Lin (2018). Extraction New Sentiment Words in Weibo Based on Relative Branch Entropy. China Conference on Information Retrieval.DOI
  506. Liang Yang, Fengqing Zhou, Hongfei Lin, Jian Wang, Shao-Wu Zhang (2018). Chinese Emotion Commonsense Knowledge Base Construction and Its Application. Chinese Lexical Semantics.DOI
  507. Zhi-Zheng Wang, Yuan-Yuan Sun, Yawen Guan, Yibin Zhang, Liang Yang, Kan Xu, Yi-Jia Zhang, Hongfei Lin (2018). A Weak Supervised Learning Method for Essential Protein Detection Based on STRING Database and Learning Representation. IEEE International Conference on Bioinformatics and Biomedicine.DOI
  508. Wei Zheng, Hongfei Lin, Zhi-Heng Li, Xiaoxia Liu, Zhengguang Li, Bo Xu, Yi-Jia Zhang, Zhihao Yang, Jian Wang (2018). An effective neural model extracting document level chemical-induced disease relations from biomedical literature. Journal of Biomedical Informatics.DOI
  509. Yuqi Ren, Tongxuan Zhang, Xi-Kai Liu, Hongfei Lin (2018). End-to-end Answer Selection via Attention-Based Bi-LSTM Network. 2018 1st IEEE International Conference on Hot Information-Centric Networking (HotICN).DOI
  510. Bo Xu, Yu Liu, Shuo Yu, Lei Wang, Lei Liu, Hongfei Lin, Zhihao Yang, Jian Wang, Feng Xia (2018). Multipath2vec: Predicting Pathogenic Genes via Heterogeneous Network Embedding. IEEE International Conference on Bioinformatics and Biomedicine.DOI
  511. Yunsheng Shi, Jun Meng, Jian Wang, Hongfei Lin, Yumeng Li (2018). A Normalized Encoder-Decoder Model for Abstractive Summarization Using Focal Loss. Natural Language Processing and Chinese Computing.DOI
  512. Yi-Jia Zhang, Hongfei Lin, Zhihao Yang, Jian Wang, Shao-Wu Zhang, Yuan-Yuan Sun, Liang Yang (2018). A hybrid model based on neural networks for biomedical relation extraction. Journal of Biomedical Informatics.DOI
  513. Xiaoxia Liu, Zhihao Yang, Shengtian Sang, Ziwei Zhou, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang, Bo Xu (2018). Identifying protein complexes based on node embeddings obtained from protein-protein interaction networks. BMC Bioinformatics.DOI
  514. Dongyu Zhang, Hongfei Lin, Puqi Zheng, Liang Yang, Shao-Wu Zhang (2018). The Identification of the Emotionality of Metaphorical Expressions Based on a Manually Annotated Chinese Corpus. IEEE Access.DOI
  515. Ling Luo, Zhihao Yang, Hongfei Lin, Jian Wang (2018). Document triage for identifying protein–protein interactions affected by mutations: a neural network ensemble approach. Database J. Biol. Databases Curation.DOI
  516. Qingqing Li, Zhihao Yang, Zhehuan Zhao, Ling Luo, Zhi-Heng Li, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang, Yi-Jia Zhang (2018). HMNPPID: A Database of Protein-protein Interactions Associated with Human Malignant Neoplasms. IEEE International Conference on Bioinformatics and Biomedicine.DOI
  517. Dongyu Zhang, Hongfei Lin, Liang Yang, Shao-Wu Zhang, Bo Xu (2018). Construction of a Chinese Corpus for the Analysis of the Emotionality of Metaphorical Expressions. Annual Meeting of the Association for Computational Linguistics.DOI
  518. Xiaoyu Chen, Jian Wang, Yuqi Ren, Tong Liu, Hongfei Lin (2018). NLPCC 2018 Shared Task User Profiling and Recommendation Method Summary by DUTIR_9148. Natural Language Processing and Chinese Computing.DOI
  519. Ling Luo, Zhihao Yang, Pei Yang, Yin Zhang, Lei Wang, Jian Wang, Hongfei Lin (2018). A neural network approach to chemical and gene/protein entity recognition in patents. Journal of Cheminformatics.DOI
  520. Ling Luo, Zhihao Yang, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang, Liang Yang, Kan Xu, Yi-Jia Zhang (2018). Protein-Protein Interaction Article Classification: A Knowledge-enriched Self-Attention Convolutional Neural Network Approach. IEEE International Conference on Bioinformatics and Biomedicine.DOI
  521. Bo Xu, Hongfei Lin, Yuan Lin, Yunlong Ma, Liang Yang, Jian Wang, Zhihao Yang (2018). Improve Biomedical Information Retrieval Using Modified Learning to Rank Methods. IEEE/ACM Transactions on Computational Biology & Bioinformatics.DOI
  522. Bo Xu, Hongfei Lin, Yuan Lin, Liang Yang, Kan Xu (2018). Improving Pseudo-Relevance Feedback With Neural Network-Based Word Representations. IEEE Access.DOI
  523. Shengtian Sang, Zhihao Yang, Lei Wang, Xiaoxia Liu, Hongfei Lin, Jian Wang (2018). SemaTyP: a knowledge graph based literature mining method for drug discovery. BMC Bioinformatics.DOI
  524. Linhong Xu, Hongfei Lin, Ruihua Qi, Liang Yang (2018). Heterographic pun identification model based on multi-dimensional semantic relationships. Scientia Sinica Informationis.DOI
  525. 冯钦林,杨志豪,林鸿飞(2017). 疾病-病症和病症-治疗物质的关系抽取研究. 《计算机工程与应用》.
  526. 林原,徐博,孙晓玲,林鸿飞,许侃(2017). 基于似然损失函数的组样本排序学习方法. 《模式识别与人工智能》.
  527. 孙世昶,林鸿飞,刘洪波,孟佳娜(2017). 融合对应信息的粒迁移学习及文本序列应用. 《小型微型计算机系统》.
  528. 练绪宝,林鸿飞,徐博,林原(2017). 融合项目标签信息面向排序的社会化推荐算法. 《计算机科学与探索》.
  529. Ling Luo, Pei Yang, Zhihao Yang, Hongfei Lin, Jian Wang (2017). A BLSTM-CRF Approach for Biomedical Entity Recognition in Patents.
  530. Yi-Jia Zhang, Wei Zheng, Hongfei Lin, Jian Wang, Zhihao Yang, M. Dumontier (2017). Drug–drug interaction extraction via hierarchical RNNs on sequence and shortest dependency paths. Bioinform..DOI
  531. Anran Wang, Jian Wang, Hongfei Lin, Jianhai Zhang, Zhihao Yang, Kan Xu (2017). A multiple distributed representation method based on neural network for biomedical event extraction. BMC Medical Informatics and Decision Making.DOI
  532. Ling Luo, Zhihao Yang, Hongfei Lin, Jian Wang (2017). DUTIR at the BioCreative VI Precision Medicine Track : Document Triage for Identifying PPIs Affected by Genetic Mutations.
  533. Bo Xu, Hongfei Lin, L. Wang, Yuan Lin, Kan Xu, Xiaocong Wei, Dong Huang (2017). Tripartite-Replicated Softmax Model for Document Representations. China Conference on Information Retrieval.DOI
  534. Yuan Lin, Jia-Jin Wu, Bo Xu, Kan Xu, Hongfei Lin (2017). Learning to rank using multiple loss functions. International Journal of Machine Learning and Cybernetics.DOI
  535. Yu-Feng Diao, Liang Yang, Dongyu Zhang, Linhong Xu, Xiao-Chao Fan, Di Wu, Hongfei Lin (2017). Homographic Puns Recognition Based on Latent Semantic Structures. Natural Language Processing and Chinese Computing.DOI
  536. Bo Xu, Hongfei Lin, Yuan Lin, Kan Xu (2017). Learning to Rank with Query-level Semi-supervised Autoencoders. International Conference on Information and Knowledge Management.DOI
  537. Kai Guo, Hongfei Lin, Bo Xu, Zhihao Yang, Jian Wang, Yuan-Yuan Sun, Kan Xu (2017). Detecting Potential Adverse Drug Reactions Using Association Rules and Embedding Models. International Symposium on Bioinformatics Research and Applications.DOI
  538. Yuan Lin, Bo Xu, Luying Li, Hongfei Lin, Kan Xu (2017). Social Annotation for Query Expansion Learning from Multiple Expansion Strategies. National Conference on Social Media Processing.DOI
  539. Dongzhen Wen, Liang Yang, HengChao Li, Kai Guo, Peng Fei, Hongfei Lin (2017). NLPCC 2017 Shared Task Social Media User Modeling Method Summary by DUTIR_923. Natural Language Processing and Chinese Computing.DOI
  540. Yi-Jia Zhang, Hongfei Lin, Zhihao Yang, Jian Wang, Yiwei Liu (2017). An uncertain model-based approach for identifying dynamic protein complexes in uncertain protein-protein interaction networks. BMC Genomics.DOI
  541. Xiaocong Wei, Hongfei Lin, Yuhai Yu, Liang Yang (2017). Low-Resource Cross-Domain Product Review Sentiment Classification Based on a CNN with an Auxiliary Large-Scale Corpus. Algorithms.DOI
  542. Yan Wang, Jian Wang, Hongfei Lin, Shao-Wu Zhang, Lishuang Li (2017). Biomedical event trigger detection based on bidirectional LSTM and CRF. IEEE International Conference on Bioinformatics and Biomedicine.DOI
  543. Jian Wang, Jiqing Sun, Hongfei Lin, Hualei Dong, Shao-Wu Zhang (2017). Convolutional neural networks for expert recommendation in community question answering. Science China Information Sciences.DOI
  544. Lingfei Qian, Anran Wang, Yan Wang, Yuhang Huang, Jian Wang, Hongfei Lin (2017). First Place Solution for NLPCC 2017 Shared Task Social Media User Modeling. Natural Language Processing and Chinese Computing.DOI
  545. Zhehuan Zhao, Zhihao Yang, Ling Luo, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang (2017). Disease named entity recognition from biomedical literature using a novel convolutional neural network. BMC Medical Genomics.DOI
  546. Xiaocong Wei, Hongfei Lin, Liang Yang, Yuhai Yu (2017). A Convolution-LSTM-Based Deep Neural Network for Cross-Domain MOOC Forum Post Classification. Inf..DOI
  547. Wei Zheng, Hongfei Lin, Ling Luo, Zhehuan Zhao, Zhengguang Li, Yi-Jia Zhang, Zhihao Yang, Jian Wang (2017). An attention-based effective neural model for drug-drug interactions extraction. BMC Bioinformatics.DOI
  548. Zhehuan Zhao, Zhihao Yang, Cong Sun, Lei Wang, Hongfei Lin (2017). A hybrid protein-protein interaction triple extraction method for biomedical literature. IEEE International Conference on Bioinformatics and Biomedicine.DOI
  549. Xiaoxia Liu, Zhihao Yang, Ziwei Zhou, Yuanyuan Sun, Hongfei Lin, Jian Wang, Bo Xu (2017). The impact of protein interaction networks’ characteristics on computational complex detection methods. Journal of Theoretical Biology.DOI
  550. Bo Xu, Hongfei Lin, Yuan Lin (2016). Assessment of Learning to Rank Methods for Query Expansion. Journal Of The Association For Information Science And Technology, Vol. 670, No. 6.DOI
  551. 许侃,林原,林鸿飞,徐博(2016). 基于不同信息资源专利查询扩展方法的研究. 《情报学报》, Vol. 35, No. 6.下载原文
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  553. Wei Zheng, Hongfei Lin, Zhehuan Zhao, Bo Xu, Yi-Jia Zhang, Zhihao Yang, Jian Wang (2016). A graph kernel based on context vectors for extracting drug-drug interactions. Journal of Biomedical Informatics.DOI
  554. Zhehuan Zhao, Zhihao Yang, Ling Luo, Yin Zhang, Lei Wang, Hongfei Lin, Jian Wang (2016). ML-CNN: A novel deep learning based disease named entity recognition architecture. IEEE International Conference on Bioinformatics and Biomedicine.DOI
  555. Bo Xu, Hongfei Lin, Mingzhen Zhao, Zhihao Yang, Jian Wang, Shao-Wu Zhang (2016). Detecting Potential Adverse Drug Reactions from Health-Related Social Networks. NLPCC/ICCPOL.DOI
  556. Anran Wang, Jian Wang, Hongfei Lin, Jianhai Zhang, Zhihao Yang, Kan Xu (2016). Biomedical event extraction based on distributed representation and deep learning. IEEE International Conference on Bioinformatics and Biomedicine.DOI
  557. Yi-Jia Zhang, Hongfei Lin, Zhihao Yang, Jian Wang, Yiwei Liu, Shengtian Sang (2016). A method for predicting protein complex in dynamic PPI networks. BMC Bioinformatics.DOI
  558. Zhehuan Zhao, Zhihao Yang, Hongfei Lin, Jian Wang, Song Gao (2016). A protein-protein interaction extraction approach based on deep neural network. International Journal of Data Mining and Bioinformatics.DOI
  559. Jian Wang, Honglei Li, Yuan An, Hongfei Lin, Zhihao Yang (2016). Biomedical event trigger detection based on convolutional neural network. International Journal of Data Mining and Bioinformatics.DOI
  560. Yuan Lin, Liang Yang, Bo Xu, Hongfei Lin, Kan Xu (2016). Learning to Rank with Likelihood Loss Functions. Asia Information Retrieval Symposium.DOI
  561. A. Abdulla, Hongfei Lin, Bo Xu, Santosh Kumar Banbhrani (2016). Improving biomedical information retrieval by linear combinations of different query expansion techniques. BMC Bioinformatics.DOI
  562. Kan Xu, Yuan Lin, Hongfei Lin, Bo Xu (2016). Research on Patent Query Expansion Methods Using Different Information Resources.
  563. Yi-Jia Zhang, Hongfei Lin, Zhihao Yang, Jian Wang (2016). Construction of dynamic probabilistic protein interaction networks for protein complex identification. BMC Bioinformatics.DOI
  564. Xiaoxia Liu, Zhihao Yang, Hongfei Lin, M. Simmons, Zhi-Yong Lu (2016). DIGNiFI: Discovering causative genes for orphan diseases using protein-protein interaction networks. BMC Systems Biology.DOI
  565. Maosong Sun, Xuanjing Huang, Hongfei Lin, Zhiyuan Liu, Y. Liu (2016). Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data. Lecture Notes in Computer Science.DOI
  566. Yuhai Yu, Hongfei Lin, Jiana Meng, Zhehuan Zhao (2016). Visual and Textual Sentiment Analysis of a Microblog Using Deep Convolutional Neural Networks. Algorithms.DOI
  567. Shichang Sun, Jian Yun, Hongfei Lin, Nanxun Zhang, A. Abraham, Hongbo Liu (2016). Granular transfer learning using type-2 fuzzy HMM for text sequence recognition. Neurocomputing.DOI
  568. Bo Xu, Hongfei Lin, Huihui Hao, Zhihao Yang, Jian Wang, Shao-Wu Zhang (2016). Generating User-oriented Text Summarization Based on Social Networks Using Topic Models. National Conference on Social Media Processing.DOI
  569. Jian Wang, Jiqing Sun, Hongfei Lin, Hualei Dong, Shao-Wu Zhang (2016). Predicting Best Answerers for New Questions: An Approach Leveraging Convolution Neural Networks in Community Question Answering. National Conference on Social Media Processing.DOI
  570. Liang Yang, Hongfei Lin, Yuan Lin, Shengbo Liu (2016). Detection and Extraction of Hot Topics on Chinese Microblogs. Cognitive Computation.DOI
  571. Liang Yang, B. Liu, Hongfei Lin, Yuan Lin (2016). Combining local and global information for product feature extraction in opinion documents. Information Processing Letters.DOI
  572. Kan Xu, Hongfei Lin, Yuan Lin, Bo Xu, Liang Yang, Shao-Wu Zhang (2016). Patent Retrieval Based on Multiple Information Resources. Asia Information Retrieval Symposium.DOI
  573. Zhehuan Zhao, Zhihao Yang, Ling Luo, Hongfei Lin, Jian Wang (2016). Drug drug interaction extraction from biomedical literature using syntax convolutional neural network. Bioinform..DOI
  574. Ziwei Zhou, Yingyi Gui, Zhihao Yang, Xiaoxia Liu, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang (2016). Disease-specific protein complex detection in the human protein interaction network with a supervised learning method. IEEE International Conference on Bioinformatics and Biomedicine.DOI
  575. Zhi-Heng Li, Zhihao Yang, Hongfei Lin, Jian Wang, Yingyi Gui, Yin Zhang, Lei Wang (2016). CIDExtractor: A chemical-induced disease relation extraction system for biomedical literature. IEEE International Conference on Bioinformatics and Biomedicine.DOI
  576. Honglei Li, Jianhai Zhang, Jian Wang, Hongfei Lin, Zhihao Yang (2016). DUTIR in BioNLP-ST 2016: Utilizing Convolutional Network and Distributed Representation to Extract Complicate Relations. Workshop on Biomedical Natural Language Processing.DOI
  577. Xiaoxia Liu, Zhihao Yang, Hongfei Lin, Michael Simmons, Zhiyong Lu (2016). DIGNiFI. ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB).DOI
  578. Xiaoling Sun, Hongfei Lin, Kan Xu, Kun Ding (2015). How we collaborate: characterizing, modeling and predicting scientific collaborations. Scientometrics, Vol. 104, No. 1.DOI
  579. Xiaoling Sun, Hongfei Lin, Kan Xu (2015). A social network model driven by events and interests. Expert Systems With Applications, Vol. 42, No. 9.DOI
  580. 董华磊,王健,林鸿飞,王浩(2015). 一种基于社会化标注的查询扩展研究. 《计算机研究与发展》.
  581. 杨海天,王健,林鸿飞(2015). 一种基于主题类别信息问句检索的新方法. 《计算机应用与软件》.
  582. Mingzhen Zhao, Bo Xu, Hongfei Lin, Zhihao Yang, Jian Wang (2015). Skip-gram Model.
  583. Jian Wang, Jianhai Zhang, Yuan An, Hongfei Lin, Zhihao Yang, Yi-Jia Zhang, Yuan-Yuan Sun (2015). Biomedical event trigger detection by dependency-based word embedding. BMC Medical Genomics.DOI
  584. Dongyu Zhang, Liang Yang, Puqi Zheng, Bo Xu, Hongfei Lin (2015). Construction and application of affective metaphor corpus.DOI
  585. Feng-Ying Yu, Zhihao Yang, Xiaohua Hu, Yuan-Yuan Sun, Hongfei Lin, Jian Wang (2015). Protein complex detection in PPI networks based on data integration and supervised learning method. BMC Bioinformatics.DOI
  586. Zhehuan Zhao, Zhihao Yang, Ling Luo, Hongfei Lin, Jian Wang, Song Gao (2015). Deep neural network based protein-protein interaction extraction from biomedical literature. IEEE International Conference on Bioinformatics and Biomedicine.DOI
  587. Shengtian Sang, Zhihao Yang, Zong-Yao Li, Hongfei Lin (2015). Supervised Learning Based Hypothesis Generation from Biomedical Literature. BioMed Research International.DOI
  588. Zhi-Heng Li, Ya Yang, Zhihao Yang, Ziwei Zhou, Hongfei Lin (2015). DUTIR at the BioCreative V CDR Task : Disease Named Entity Recognition and Normalization and the Chemical-Disease Relation Extraction from Biomedical Text.
  589. Shao-Wu Zhang, Huali Liu, Liang Yang, Hongfei Lin (2015). A Cross-Domain Sentiment Classification Method Based on Extraction of Key Sentiment Sentence. Natural Language Processing and Chinese Computing.DOI
  590. Yuan Lin, Hongfei Lin, Kan Xu, A. Abraham, Hongbo Liu (2015). Group-enhanced ranking. Neurocomputing.DOI
  591. Yi-Jia Zhang, Hongfei Lin, Zhihao Yang, Jian Wang (2015). Integrating experimental and literature protein-protein interaction data for protein complex prediction. BMC Genomics.DOI
  592. Xiaofang Wu, Zhihao Yang, Zhi-Heng Li, Hongfei Lin, Jian Wang (2015). Disease Related Knowledge Summarization Based on Deep Graph Search. BioMed Research International.DOI
  593. Hualei Dong, Jian Wang, Hongfei Lin, Bo Xu, Zhihao Yang (2015). Predicting Best Answerers for New Questions: An Approach Leveraging Distributed Representations of Words in Community Question Answering. 2015 Ninth International Conference on Frontier of Computer Science and Technology.DOI
  594. Xiaoxia Liu, Hongfei Lin, Zhihao Yang (2015). Predicting User Relationship from Scratch. National Conference on Social Media Processing.DOI
  595. Mingzhen Zhao, Bo Xu, Hongfei Lin, Zhihao Yang, Jian Wang (2015). Discover potential adverse drug reactions using the skip-gram model. IEEE International Conference on Bioinformatics and Biomedicine.DOI
  596. Liang Yang, Shao-Wu Zhang, Hongfei Lin, Xianhui Wei (2015). Incorporating Sample Filtering into Subject-Based Ensemble Model for Cross-Domain Sentiment Classification. China National Conference on Chinese Computational Linguistics.DOI
  597. Bo Xu, Hongfei Lin, Yuan Lin, Yunlong Ma, Liang Yang, Jian Wang, Zhihao Yang (2015). Learning to rank for biomedical information retrieval. IEEE International Conference on Bioinformatics and Biomedicine.DOI
  598. Jing Qin, Xinyue Liu, Hongfei Lin (2015). Audio retrieval based on manifold ranking and relevance feedback. Tsinghua Science & Technology.DOI
  599. Jian Wang, Jianhai Zhang, Yuan An, Hongfei Lin, Zhihao Yang, Yi-Jia Zhang, Yuanyuan Sun (2015). Biomedical event trigger detection by dependency-based word embedding. IEEE International Conference on Bioinformatics and Biomedicine (BIBM).DOI
  600. 王亮,张绍武,丁堃,许侃,林鸿飞(2014). 基于HDP的汽车专利主题演化研究. 《情报学报》, Vol. 33, No. 9.下载原文
  601. 孙晓玲,林鸿飞(2014). 合作网络视角下的学科演化模型. 《情报学报》, Vol. 33, No. 9.下载原文
  602. 张绍武,林鸿飞,刘晓霞,窦彦昭(2014). 基于概率的信任传播模型. 《计算机科学》.
  603. 周利娟,林鸿飞,闫俊(2014). 基于TLDA和SVSM的音乐信息检索模型. 《计算机科学》.
  604. 李瑞敏,林鸿飞,闫俊(2014). 基于用户-标签-项目语义挖掘的个性化音乐推荐. 《计算机研究与发展》.
  605. Maosong Sun, Xuanjing Huang, Hongfei Lin, Zhi-Yuan Liu, Y. Liu (2014). Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data. Lecture Notes in Computer Science.DOI
  606. Feng-Ying Yu, Zhihao Yang, X. Hu, Yuan-Yuan Sun, Hongfei Lin, Jian Wang (2014). Data integration and supervised learning based protein complex detection method. IEEE International Conference on Bioinformatics and Biomedicine.DOI
  607. Liangxi Cheng, Mingzhen Zhao, Hongfei Lin (2014). The Discovery Mechanism of Adverse Drug Reactions Based on Comment Mining.
  608. Xiaoxia Liu, Zhihao Yang, Ziwei Zhou, Yuan-Yuan Sun, Hongfei Lin, Jian Wang (2014). Exploring the relation between the characteristics of protein interaction networks and the performances of computational complex detection methods. IEEE International Conference on Bioinformatics and Biomedicine.DOI
  609. Xiaofang Wu, Zhihao Yang, Zhi-Heng Li, Yuan-Yuan Sun, Hongfei Lin, Jian Wang (2014). Deep graph search based disease related knowledge summarization from biomedical literature. IEEE International Conference on Bioinformatics and Biomedicine.DOI
  610. Yunlong Ma, Hongfei Lin (2014). A Multiple Relevance Feedback Strategy with Positive and Negative Models. PLoS ONE.DOI
  611. Yuan Lin, Hongfei Lin, Ping Zhang, Bo Xu (2014). GPQ: Directly Optimizing Q-measure based on Genetic Programming. International Conference on Information and Knowledge Management.DOI
  612. Linna He, Zhihao Yang, Hongfei Lin, Yan-Peng Li (2014). Drug name recognition in biomedical texts: a machine-learning-based method. Drug Discovery Today.DOI
  613. Liangxi Cheng, Hongfei Lin, Yuncui Hu, Jian Wang, Zhihao Yang (2014). Gene Function Prediction Based on the Gene Ontology Hierarchical Structure. PLoS ONE.DOI
  614. Liang Yang, Shao-Wu Zhang, Hongfei Lin, Yanxue Song (2014). Word Emotion Disambiguation Based on Graph Ranking.
  615. Jian Wang, Qian Xu, Hongfei Lin, Zhihao Yang, Yanpeng Li (2013). Exploring Useful Features for Biomedical Event Trigger Detection. Journal Of Multiple-Valued Logic And Soft Computing, Vol. 20, No. 56.
  616. 魏现辉,张绍武,杨亮,林鸿飞(2013). 基于加权SimRank的跨领域文本情感倾向性分析. 《模式识别与人工智能》.
  617. 李雪妮,张绍武,杨亮,林鸿飞(2013). ARES:用于预测的情感感知自回归模型. 《计算机研究与发展》.
  618. 任克江,张绍武,林鸿飞(2013). 地理信息检索中基于文档地名感知的排序方法. 《北京大学学报(自然科学版)》.
  619. 王健,吴雨,林鸿飞,杨志豪(2013). 基于深层句法分析的生物事件触发词抽取. 《计算机工程》.
  620. 杨亮,许侃,林鸿飞,王健,刁宇峰(2013). 博客作者声誉度分析. 《计算机科学与探索》.
  621. Yue Shang, Huihui Hao, Hongfei Lin, Jia-Jin Wu (2013). Learning to rank based gene summary extraction. IEEE International Conference on Bioinformatics and Biomedicine.DOI
  622. Cun-Hui Shi, Bo Xu, Hongfei Lin, Qing Guo (2013). A Time-Sensitive Model for Microblog Retrieval. Natural Language Processing and Chinese Computing.DOI
  623. Jian Wang, Ming-hui Ji, Hongfei Lin, Zhihao Yang (2013). Protein-protein interaction extraction based on contextual and syntactic features. Journal of Computer Applications.DOI
  624. Yi-Jia Zhang, Hongfei Lin, Zhihao Yang, Jian Wang, Bo Xu (2013). Integrating multiple biomedical resources for protein complex prediction. IEEE International Conference on Bioinformatics and Biomedicine.DOI
  625. Yuan Lin, Hongfei Lin, Kan Xu, Xiaoling Sun (2013). Learning to rank using smoothing methods for language modeling. J. Assoc. Inf. Sci. Technol..DOI
  626. Xiaoling Sun, Hongfei Lin (2013). Topical community detection from mining user tagging behavior and interest. J. Assoc. Inf. Sci. Technol..DOI
  627. Liangxi Cheng, Hongfei Lin, Fengqing Zhou, Zhihao Yang, Jian Wang (2013). Enhancing the accuracy of knowledge discovery: a supervised learning method. BMC Bioinformatics.DOI
  628. Yi-Jia Zhang, Hongfei Lin, Zhihao Yang, Jian Wang (2013). Construction of Ontology Augmented Networks for Protein Complex Prediction. PLoS ONE.DOI
  629. Zhihao Yang, Zhehuan Zhao, Yan-Peng Li, Yuncui Hu, Hongfei Lin (2013). PPIExtractor: A Protein Interaction Extraction and Visualization System for Biomedical Literature. IEEE Transactions on Nanobioscience.DOI
  630. Bo Xu, Hongfei Lin, Yanguang Chen, Zhihao Yang, Hong-Fang Liu (2013). Protein Complex Identification by Integrating Protein-Protein Interaction Evidence from Multiple Sources. PLoS ONE.DOI
  631. Xinyue Liu, You Wang, Shaoping Zhu, Hongfei Lin (2013). Combating Web spam through trust-distrust propagation with confidence. Pattern Recognition Letters.DOI
  632. Yi-Jia Zhang, Hongfei Lin, Zhihao Yang, Jian Wang, Yan-Peng Li, Bo Xu (2013). Protein Complex Prediction in Large Ontology Attributed Protein-Protein Interaction Networks. IEEE/ACM Transactions on Computational Biology & Bioinformatics.DOI
  633. Jian Wang, Qian Xu, Hongfei Lin, Zhihao Yang, Yan-Peng Li (2013). Semi-supervised method for biomedical event extraction. Proteome Science.DOI
  634. Bo Xu, Hongfei Lin, K. Wagholikar, Zhihao Yang, Hong-Fang Liu (2013). Identifying protein complexes with fuzzy machine learning model. Proteome Science.DOI
  635. Linna He, Zhihao Yang, Zhehuan Zhao, Hongfei Lin, Yan-Peng Li (2013). Extracting Drug-Drug Interaction from the Biomedical Literature Using a Stacked Generalization-Based Approach. PLoS ONE.DOI
  636. Yi-Jia Zhang, Hongfei Lin, Zhihao Yang, Jian Wang, Yan-Peng Li (2013). Biomolecular event trigger detection using neighborhood hash features. Journal of Theoretical Biology.DOI
  637. Fengying Yu, Zhihao Yang, Nan Tang, Jiajin Wu, Hongfei Lin, Jian Wang (2013). Predicting protein complexes in protein interaction networks: A supervised learning based method. IEEE International Conference on Bioinformatics and Biomedicine (BIBM).DOI
  638. Hongfei Lin (2013). A Document’s Placenames-Aware Document Ranking for GIR. Beijing Daxue Xuebao. Zirankexueban.
  639. Hongfei Lin (2013). Complex Extraction from the Weighted Network Based on Topological and Biological Characteristics. Journal of Jiangxi Normal University.
  640. 林原,林鸿飞(2012). 基于神经网络的Listwise排序学习方法的研究. 《情报学报》, Vol. 31, No. 1.下载原文
  641. 周峰,林鸿飞,杨志豪(2012). 基于语义资源的生物医学文献知识发现. 《情报学报》, Vol. 31, No. 3.下载原文
  642. 王丽莎,张绍武,林鸿飞(2012). 基于项目和标签的随机游走个性化信息推荐模型. 《情报学报》, Vol. 31, No. 3.下载原文
  643. 朱鸣华,赵铭伟,赵晶,林鸿飞(2012). 计算机基础教学中计算思维能力培养的探讨. 《中国大学教学》, No. 3.下载原文
  644. 杨亮,林鸿飞,王宇轩,许侃(2012). 中西思维模式对于情感倾向性的影响. 《计算机科学》.
  645. 王磊,林鸿飞,滕弘飞(2012). 并行协同差异进化算法研究. 《计算机工程》.
  646. 王健,李志斌,林鸿飞(2012). 一种基于社会化标注的网页检索方法. 《计算机工程》.
  647. 李瑞敏,闫俊,林鸿飞(2012). 基于音乐基因组的个性化移动音乐推荐系统. 《计算机应用与软件》.
  648. Liang Yang, Hongfei Lin, Yuan Lin (2012). Sentiment Analysis Based on Chinese Thinking Modes.DOI
  649. Jiana Meng, Hongfei Lin (2012). Transfer learning based on graph ranking. International Conference on Fuzzy Systems and Knowledge Discovery.DOI
  650. Yuncui Hu, Yan-Peng Li, Hongfei Lin, Zhihao Yang, Liangxi Cheng (2012). Integrating Various Resources for Gene Name Normalization. PLoS ONE.DOI
  651. Yanhua Wang, Zhihao Yang, Hongfei Lin, Yan-Peng Li (2012). A syntactic rule-based method for automatic pathway information extraction from biomédical literature. 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops.DOI
  652. Bo Xu, Hongfei Lin, Zhihao Yang, K. Wagholikar, Hong-Fang Liu (2012). Classifying protein complexes from candidate subgraphs using fuzzy machine learning model. 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops.DOI
  653. Shichang Sun, Hongbo Liu, Hongfei Lin, A. Abraham (2012). Twitter part-of-speech tagging using pre-classification Hidden Markov model. IEEE International Conference on Systems, Man and Cybernetics.DOI
  654. Jian Wang, Qian Xu, Hongfei Lin, Zhihao Yang, Yan-Peng Li (2012). Combining labeled and unlabeled data for biomédical event extraction. 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops.DOI
  655. Yi-Jia Zhang, Hongfei Lin, Zhihao Yang, Jian Wang, Yan-Peng Li (2012). Hash Subgraph Pairwise Kernel for Protein-Protein Interaction Extraction. IEEE/ACM Transactions on Computational Biology & Bioinformatics.DOI
  656. C. Chute, Ming Li, R. Murphy, Xingpeng Jiang, X. Hu, Hui-Yu Shen, Ting-Ting He, L. D. Lopez, Jingyi Yu, Catalina O. Tudor, C. Arighi, Hong-Zhan Huang, K. Vijay-Shanker, Cathy H. Wu, Xionghui Zhou, Juan Liu, J. Xiong, Zhihao Yang, Zhehuan Zhao, Yan-Peng Li, Yuncui Hu, Hongfei Lin, Zhandong Liu, Xutao Li, Yun-Ming Ye, Qing-Yao Wu, M. Ng, Yuedong Song, J. Crowcroft, Jia-Xiang Zhang, Jonathan Woodbridge, B. Mortazavi, M. Sarrafzadeh, Alex A. T. Bui, Changjin Hong, Jianying Gu, T. Lilburn, R. Kuang, Yufeng Wang, Gang Zhang, Xiangyang Shu, Zhaohui Liang, Yunting Liang, Shuyi Chen, Jian Yin, Young-Rae Cho, Tak Chien Chiam, Yanxin Lu, Y. Kavurucu, Tamer Kahveci, Mohamed F. Ghalwash, Dušan Ramljak, Z. Obradovic, Brian S. Olson, A. Shehu, E. Fertig, Alexander V. Favorov, M. Ochs, Pin Zhang (2012). 2012 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2012, Philadelphia, PA, USA, October 4-7, 2012. IEEE International Conference on Bioinformatics and Biomedicine.
  657. Qing Guo, Wenfei Liu, Yuan Lin, Hongfei Lin (2012). Query Expansion Based on User Quality in Folksonomy. Asia Information Retrieval Symposium.DOI
  658. Liang Yang, Hongfei Lin (2012). Construction and Application of Chinese Emotional Corpus. Chinese Lexical Semantics.DOI
  659. Shichang Sun, Hongbo Liu, P. Zhao, Hongfei Lin (2012). TWO-STAGE MODEL SELECTION WITH PARAMETERS WEIGHTED HIDDEN MARKOV MODELS AND LIKELIHOOD RATIO FOR PART-OF-SPEECH TAGGING.DOI
  660. Zheng Ye, Xiang-Ji Huang, Ben He, Hongfei Lin (2012). Mining a multilingual association dictionary from Wikipedia for cross-language information retrieval. J. Assoc. Inf. Sci. Technol..DOI
  661. Xinyue Liu, Hongfei Lin, Liguo Zhang (2012). An Attractive Force Model for Weighting Links in Query-Dependant Web Page Ranking. Journal of Computers.DOI
  662. Yi-Jia Zhang, Hongfei Lin, Zhihao Yang, Jian Wang, Yan-Peng Li (2012). A Single Kernel-Based Approach to Extract Drug-Drug Interactions from Biomedical Literature. PLoS ONE.DOI
  663. Jian Wang, Dong Xie, Hongfei Lin, Zhihao Yang, Yi-Jia Zhang (2012). Filtering Gene Ontology semantic similarity for identifying protein complexes in large protein interaction networks. Proteome Science.DOI
  664. Tianshu Chang, Hongfei Lin, Yuan Lin (2012). Feature Transformation Method Enhanced Vandalism Detection in Wikipedia. Asia Information Retrieval Symposium.DOI
  665. Zhihao Yang, Zhehuan Zhao, Yan-Peng Li, Yuncui Hu, Hongfei Lin (2012). PPIExtractor: A protein-protein interaction Extractor for biomédical literature. IEEE International Conference on Bioinformatics and Biomedicine.DOI
  666. Xueni Li, Shao-Wu Zhang, Liang Yang, Hongfei Lin (2012). Sells Out or Piles Up? A Sentiment Autoregressive Model for Predicting Sales Performance. Asia Information Retrieval Symposium.DOI
  667. Xinyue Liu, Hongfei Lin, Cong Zhang (2012). An Improved HITS Algorithm Based on Page-query Similarity and Page Popularity. Journal of Computers.DOI
  668. Kejiang Ren, Shao-Wu Zhang, Hongfei Lin (2012). Where Are You Settling Down: Geo-locating Twitter Users Based on Tweets and Social Networks. Asia Information Retrieval Symposium.DOI
  669. Hongfei Lin (2012). Application of natural language processing in cyber crime analysis. Computer Engineering and Applications Journal.
  670. Hongfei Lin (2012). Micro-Blog Hot Events Detection Based on Emotion Distribution. Zhongwen xinxi xuebao.
  671. Hongfei Lin (2012). Cross-domain Sentiment Classification Using SimRank. Zhongwen xinxi xuebao.
  672. Hongfei Lin (2012). Tracking event microblogs:a streaming dynamic topic model. Journal of Shandong University.
  673. Jiana Meng, Hongfei Lin, Yanpeng Li (2011). Knowledge transfer based on feature representation mapping for text classification. Expert Systems With Applications, Vol. 38, No. 8.DOI
  674. Ran Chen, Hongfei Lin, Zhihao Yang (2011). Passage retrieval based hidden knowledge discovery from biomedical literature. Expert Systems With Applications, Vol. 38, No. 8.DOI
  675. Ning Xia, Hongfei Lin, Zhihao Yang, Yanpeng Li (2011). Combining multiple disambiguation methods for gene mention normalization. Expert Systems With Applications, Vol. 38, No. 7.DOI
  676. Zheng Ye, Jimmy Xiangji Huang, Hongfei Lin (2011). Incorporating rich features to boost information retrieval performance: A SVM-regression based re-ranking approach. Expert Systems With Applications, Vol. 38, No. 6.DOI
  677. 苏绥,林原,林鸿飞(2011). 语言模型在信息检索中的应用. 《情报学报》, Vol. 30, No. 7.下载原文
  678. 常富洋,许侃,林鸿飞(2011). 基于用户信息平滑聚类的协同推荐方法. 《情报学报》, Vol. 30, No. 8.下载原文
  679. 周峰,林鸿飞,王健,杨志豪(2011). 基于文献的知识发现:一个面向HINl的研究. 《情报学报》, Vol. 30, No. 10.下载原文
  680. 刘馨月,李静伟,于红,尤全增,林鸿飞(2011). 基于共享近邻的自适应谱聚类. 《小型微型计算机系统》.
  681. 吕韶华,杨亮,林鸿飞(2011). 基于LDA模型的餐馆评论排序. 《计算机工程》.
  682. 王健,谢冬,杨志豪,林鸿飞(2011). 蛋白质关系网络可视化系统的研究与实现. 《计算机科学》.
  683. 商玥,林鸿飞,杨志豪(2011). 利用语义关系抽取生成生物医学文摘的算法. 《计算机科学与探索》.
  684. Yi-Jia Zhang, Hongfei Lin, Zhihao Yang, Yan-Peng Li (2011). Protein–Protein Interaction Extraction Based on Improved All-Paths Kernel.DOI
  685. Zhihao Yang, Nan Tang, Xiao Zhang, Hongfei Lin, Yan-Peng Li, Zhi-Wei Yang (2011). Multiple kernel learning in protein-protein interaction extraction from biomedical literature. Artif. Intell. Medicine.DOI
  686. Hongfei Lin, Zhihao Yang, Yan-Peng Li (2011). Protein-Protein Interactions Extraction from Biomedical Literatures.DOI
  687. Ping Zhang, Hongfei Lin, Yuan Lin, Jia-Jin Wu (2011). Learning to Rank by Optimizing Expected Reciprocal Rank. Asia Information Retrieval Symposium.DOI
  688. Yan-Peng Li, X. Hu, Hongfei Lin, Z. Yang (2011). A Framework for Semisupervised Feature Generation and Its Applications in Biomedical Literature Mining. IEEE/ACM Transactions on Computational Biology & Bioinformatics.DOI
  689. Yue Shang, Yan-Peng Li, Hongfei Lin, Zhihao Yang (2011). Enhancing Biomedical Text Summarization Using Semantic Relation Extraction. PLoS ONE.DOI
  690. Cun-Hui Shi, Kejiang Ren, Hongfei Lin, Shao-Wu Zhang (2011). DUTIR at TREC 2011 Microblog Track. Text Retrieval Conference.
  691. Xinyue Liu, Xing Yong, Hongfei Lin (2011). An improved spectral clustering algorithm based on local neighbors in kernel space. Computer Science and Information Systems.DOI
  692. Xinyue Liu, Hongfei Lin, Ye Tian (2011). Segmenting Webpage with Gomory-Hu Tree Based Clustering. Journal of Software.DOI
  693. Xinyue Liu, Fenglong Ma, Hongfei Lin (2011). Topic Detection with Hypergraph Partition Algorithm. Journal of Software.DOI
  694. Shichang Sun, Hongfei Lin, Hongbo Liu (2011). A hybrid PSO-Viterbi algorithm for HMMs parameters weighting in Part-of-Speech tagging. International Conference of Soft Computing and Pattern Recognition.DOI
  695. Yuan Lin, Hongfei Lin, Song Jin, Zheng Ye (2011). Social annotation in query expansion: a machine learning approach. Annual International ACM SIGIR Conference on Research and Development in Information Retrieval.DOI
  696. Xinyue Liu, Linlin Zong, Xianchao Zhang, Hongfei Lin (2011). Active Semi-supervised Spectral Clustering. 2011 Fourth International Symposium on Parallel Architectures, Algorithms and Programming.DOI
  697. Ping Zhang, Hongfei Lin, Jia-Jin Wu, Yuan Lin (2011). DUTIR at TREC 2011 Chemistry Track. Text Retrieval Conference.
  698. Jia-Jin Wu, Zhihao Yang, Yuan Lin, Hongfei Lin, Zheng Ye, Kan Xu (2011). Learning to rank using query-level regression. Annual International ACM SIGIR Conference on Research and Development in Information Retrieval.DOI
  699. Zhihao Yang, Yuan Lin, Jia-Jin Wu, Nan Tang, Hongfei Lin, Yan-Peng Li (2011). Ranking support vector machine for multiple kernels output combination in protein–protein interaction extraction from biomedical literature. Proteomics.DOI
  700. Yi-Jia Zhang, Hongfei Lin, Zhihao Yang, Yan-Peng Li (2011). Neighborhood hash graph kernel for protein-protein interaction extraction. Journal of Biomedical Informatics.DOI
  701. Zheng Ye, Xiang-Ji Huang, Hongfei Lin (2011). Finding a good query-related topic for boosting pseudo-relevance feedback. J. Assoc. Inf. Sci. Technol..DOI
  702. Yunlong Ma, Hongfei Lin, Yuan Lin (2011). Selecting related terms in query-logs using two-stage SimRank. International Conference on Information and Knowledge Management.DOI
  703. Wenfei Liu, Hongfei Lin, Yunlong Ma, Tianshu Chang (2011). DUTIR at the Session Track in TREC 2011. Text Retrieval Conference.
  704. Zheng Ye, Xiang-Ji Huang, Hongfei Lin (2011). A Bayesian network approach to context sensitive query expansion. ACM Symposium on Applied Computing.DOI
  705. Jian Wang, Dong Xie, Hongfei Lin, Zhihao Yang, Yi-Jia Zhang (2011). Identifying Protein Complexes from PPI Networks Using GO Semantic Similarity. IEEE International Conference on Bioinformatics and Biomedicine.DOI
  706. Yuan Lin, Hongfei Lin, Jia-Jin Wu, Kan Xu (2011). Learning to rank with cross entropy. International Conference on Information and Knowledge Management.DOI
  707. Hongfei Lin, Zhihao Yang, Yan-Peng Li (2011). 26 Protein-Protein Interactions Extraction from Biomedical Literatures.
  708. Jiana Meng, Hongfei Lin, Yuhai Yu (2011). A two-stage feature selection method for text categorization. Computers & Mathematics with Applications.DOI
  709. Hongfei Lin (2011). Method of Predicting Protein Complex Based on Supervised Learning. Journal of Guangxi Normal University.
  710. Hongfei Lin (2011). Chunk-based Opinion Object Extraction and Application in Opinion Analysis. Journal of Guangxi Normal University.
  711. 常富洋,林鸿飞,许侃(2010). 基于用户向量扩展的协同推荐方法. 《情报学报》, Vol. 29, No. 4.下载原文
  712. 韩冰,林鸿飞(2010). 基于语义结构的科技论文抄袭检测. 《情报学报》, Vol. 29, No. 3.下载原文
  713. 吴佳金,杨志豪,林原,林鸿飞(2010). 基于改进Pairwise损失函数的排序学习方法. 《第六届全国信息检索学术会议》.
  714. 徐琳宏,林鸿飞(2010). 认知视角下的文本情感计算. 《计算机科学》.
  715. 夏佞,林鸿飞,杨志豪,李彦鹏(2010). 基于扩展语义特征机器学习消歧的基因提及标准化. 《广西师范大学学报(自然科学版)》.
  716. 李静,林鸿飞(2010). 基于用户情感标签的音乐检索算法. 《第六届全国信息检索学术会议》.
  717. 刘昊,王健,林鸿飞(2010). 一种模板与图核融合的蛋白质关系抽取方法. 《第六届全国信息检索学术会议》.
  718. Yan-Peng Li, X. Hu, Hongfei Lin, Zhihao Yang (2010). Learning an enriched representation from unlabeled data for protein-protein interaction extraction. BMC Bioinformatics.DOI
  719. Bo Xu, Hongfei Lin, Zhihao Yang (2010). Ontology integration to identify protein complex in protein interaction networks. IEEE International Conference on Bioinformatics and Biomedicine.DOI
  720. Yuan Lin, Hongfei Lin, Zheng Ye, Song Jin, Xiaoling Sun (2010). Learning to rank with groups. International Conference on Information and Knowledge Management.DOI
  721. Jiana Meng, Hongfei Lin (2010). A two-stage feature selection method for text categorization. 2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery.DOI
  722. Yunlong Ma, Hongfei Lin, Song Jin (2010). A Revised SimRank Approach for Query Expansion. Asia Information Retrieval Symposium.DOI
  723. Zheng Ye, Xiang-Ji Huang, Song Jin, Hongfei Lin (2010). Exploring Social Annotation Tags to Enhance Information Retrieval Performance. Active Media Technology.DOI
  724. Xinyue Liu, Fenglong Ma, Hongfei Lin, Hong Shen (2010). Hypergraph Partition with Harmonic Average Top-N and PCA for Topic Detection. International Symposium on Parallel Architectures, Algorithms and Programming.DOI
  725. Zhihao Yang, Hongfei Lin, Yan-Peng Li (2010). BioPPISVMExtractor: A protein-protein interaction extractor for biomedical literature using SVM and rich feature sets. Journal of Biomedical Informatics.DOI
  726. Xiuying Li, Chao Che, Xiaoxia Liu, Hongfei Lin, Rongpei Wang (2010). Corpus-based Extraction of Chinese Historical Term Translation Equivalents. International Journal of Asian Language Processing.
  727. Lisha Wang, Yanzhao Dou, Xiaoling Sun, Hongfei Lin (2010). K-means and Graph-based Approaches for Chinese Word Sense Induction Task. CIPS-SIGHAN.
  728. Xinyue Liu, Hongfei Lin, Wen-chun Gao, Hong Shen (2010). An Improved Web Page Ranking Algorithm Based on Temporal Information.DOI
  729. Z. Ye, Ben He, Xiang-Ji Huang, Hongfei Lin (2010). Revisiting Rocchio's Relevance Feedback Algorithm for Probabilistic Models. Asia Information Retrieval Symposium.DOI
  730. Zhihao Yang, Yuan Lin, Jia-Jin Wu, Nan Tang, Hongfei Lin, Yan-Peng Li (2010). Ranking SVM for multiple kernels output combination in protein-protein interaction extraction from biomedical literature. IEEE International Conference on Bioinformatics and Biomedicine.DOI
  731. Jiana Meng, Hongfei Lin, Yu-hai Yu (2010). Transfer Learning Based on SVD for Spam Filtering.DOI
  732. Hongfei Lin (2010). Cross-Language Information Retrieval Based on Improved Latent Semantic Indexing. Zhongwen xinxi xuebao.
  733. Baojin Cui, Hongfei Lin, Zhihao Yang (2009). Uncertainty sampling-based active learning for protein-protein interaction extraction from biomedical literature. Expert Systems With Applications, Vol. 36, No. 7.DOI
  734. Zhihao Yang, Hongfei Lin, Baodong Wu (2009). BioPPIExtractor: A protein-protein interaction extraction system for biomedical literature. Expert Systems With Applications, Vol. 36, No. 2.DOI
  735. 陈建美,林鸿飞(2009). 中文情感常识知识库的构建. 《情报学报》, Vol. 28, No. 4.下载原文
  736. 宋锐,洪莉,林鸿飞(2009). 基于ChunkCRF的观点持有者识别及其在观点摘要中的应用. 《小型微型计算机系统》.
  737. 徐博,林鸿飞,杨志豪(2009). 基于模板抽取和丰富特征的药名词典生成. 《第五届全国信息检索学术会议》.
  738. 王健,安波,林鸿飞(2009). 基于修正网络的蛋白质络合物预测. 《第五届全国信息检索学术会议》.
  739. 梅放,林鸿飞(2009). 基于社会化标签的移动音乐检索. 《第五届全国信息检索学术会议论文集》.
  740. 张霄,林鸿飞,杨志豪(2009). 基于奇异值分解的蛋白质关系抽取. 《第五届全国信息检索学术会议论文集》.
  741. 宁健,林鸿飞(2009). 基于改进潜在语义分析的交叉语言检索. 《第五届全国信息检索学术会议论文集》.
  742. 陈建美,林鸿飞,杨志豪(2009). 基于语法的情感词汇自动获取. 《智能系统学报》.
  743. Yan-Peng Li, Hongfei Lin, Zhihao Yang (2009). Applying Feature Coupling Generalization for Protein-Protein Interaction Extraction. IEEE International Conference on Bioinformatics and Biomedicine.DOI
  744. Yan-Peng Li, Hongfei Lin, Zhihao Yang (2009). Incorporating rich background knowledge for gene named entity classification and recognition. BMC Bioinformatics.DOI
  745. Zheng Ye, Xiang-Ji Huang, Hongfei Lin (2009). A graph-based approach to mining multilingual word associations from wikipedia. Annual International ACM SIGIR Conference on Research and Development in Information Retrieval.DOI
  746. Song Jin, Hongfei Lin, Sui Su (2009). Query expansion based on folksonomy tag co-occurrence analysis. IEEE International Conference on Granular Computing.DOI
  747. Bo Xu, Hongfei Lin, Baoyan Liu (2009). Study on question answering system for biomedical domain. IEEE International Conference on Granular Computing.DOI
  748. Yuan Lin, Hongfei Lin, Zhihao Yang, Sui Su (2009). A Boosting Approach for Learning to Rank Using SVD with Partially Labeled Data. Asia Information Retrieval Symposium.DOI
  749. Zheng Ye, Jimmy Xiangji Huang, Ben He, Hongfei Lin (2009). York University at TREC 2009: Relevance Feedback Track. Text REtrieval Conference.
  750. Hongfei Lin (2009). A Cluster-Based Language Model for Resource Selection in Distributed Information Retrieval. Microelectronics & Computer.
  751. Song Jin, Ye Zheng, Hongfei Lin (2009). DUTIR at TREC 2009: Chemical IR Track.
  752. 唐琴,许侃,林鸿飞(2008). 搜索引擎发展阶段研究及热点发现. 《情报学报》, Vol. 27, No. 5.下载原文
  753. 宋丹,许侃,林鸿飞(2008). 文本挖掘中的知识模式表示、评价及检索机制. 《情报学报》, Vol. 27, No. 5.下载原文
  754. 徐琳宏,林鸿飞,潘宇,任惠,陈建美(2008). 情感词汇本体的构造. 《情报学报》, Vol. 27, No. 2.下载原文
  755. 杨志豪,洪莉,林鸿飞,李彦鹏(2008). 基于支持向量机的生物医学文献蛋白质关系抽取. 《智能系统学报》.
  756. 时达明,林鸿飞,赵晶(2008). 基于模板化的Blog信息抽取. 《计算机工程与应用》.
  757. 潘宇,林鸿飞,杨志豪(2008). 基于用户聚类的电子商务推荐系统. 《计算机应用与软件》.
  758. 刘宝艳,林鸿飞,赵晶(2008). 基于改进编辑距离和依存文法的汉语句子相似度计算. 《计算机应用与软件》.
  759. 唐琴,宋锐,林鸿飞(2008). 基于Chunk-CRF的情感问答研究. 《智能系统学报》.
  760. Wei Guo, Hongfei Lin (2008). Automatic Opinion Analysis Based on SVM and Distance-Weighted Computing. Advanced Language Processing and Web Information Technology.DOI
  761. Zhihao Yang, Hongfei Lin, Yan-Peng Li (2008). Exploiting the contextual cues for bio-entity name recognition in biomedical literature. Journal of Biomedical Informatics.DOI
  762. Zhihao Yang, Hongfei Lin, Yan-Peng Li (2008). Exploiting the performance of dictionary-based bio-entity name recognition in biomedical literature. Comput. Biol. Chem..DOI
  763. Xiaoling Sun, Yuan Lin, Hongfei Lin, Zhihao Yang (2008). DUTIR at TREC 2008 Relevance Feedback Track. Text Retrieval Conference.
  764. Cheolyoung Ock, Jeongyong Byun, Yushen Bi, Hongfei Lin (2008). ALPIT 2008, Proceedings of The Seventh International Conference on Advanced Language Processing and Web Information Technology, Dalian University of Technology, Liaoning, China, 23-25 July 2008. Advanced Language Processing and Web Information Technology.
  765. Qin Tang, Hongfei Lin, Rui Song (2008). Research on Focal Figures-Oriented Sentimental Question Answering. Advanced Language Processing and Web Information Technology.DOI
  766. Yan-Peng Li, Hongfei Lin, Zhihao Yang (2008). Enhancing Biomedical Named Entity Classification Using Terabyte Unlabeled Data. Asia Information Retrieval Symposium.DOI
  767. Hongfei Lin (2008). Restaurant Reviews Mining Based on Semantic Polarity Analysis. Jisuanji gongcheng.
  768. Hongfei Lin (2008). Relations Extraction and Structure Mining of Personal Network. Microelectronics & Computer.
  769. Hongfei Lin (2008). Opinion Recognition and Holder Extraction Based on SVM and Distance-Weighted Computing. Computer Engineering and Science.
  770. Hongfei Lin (2008). A Mobile Question Answering System for Bus Query Based on Semantic Calculation. Computer Engineering and Science.
  771. Hongfei Lin (2008). Research on emotional question answering based on Chunk-CRF. Caai Transactions on Intelligent Systems.
  772. 宋丹,林鸿飞,杨志豪(2007). 基于内容计算和链接分析的Web话题跟踪方法. 《情报学报》, Vol. 26, No. 4.下载原文
  773. 宋丹,师庆辉,薛德军,林鸿飞(2007). 术语同义词的自动抽取. 《第三届全国信息检索与内容安全学术会议论文集》.
  774. 倪茂树,林鸿飞(2007). 基于关联规则和极性分析的商品评论挖掘. 《第三届全国信息检索与内容安全学术会议论文集》.
  775. 时达明,林鸿飞(2007). 基于内容相关度和情感分析的Blogger声誉度研究. 《第三届全国信息检索与内容安全学术会议论文集》.
  776. 徐琳宏,林鸿飞(2007). 文本情感语料库的构建和分析. 《第三届全国信息检索与内容安全学术会议论文集》.
  777. 倪茂树,赵晶,林鸿飞(2007). 生物医学文本分类方法比较研究. 《计算机工程与应用》.
  778. 刘菁菁,林鸿飞,赵晶(2007). 基于PageRank和锚文本的网页排序研究. 《计算机工程与应用》.
  779. 林鸿飞,杨志豪,赵晶(2007). 中文文本的信息自动抽取和相似检索机制. 《小型微型计算机系统》.
  780. Rui Song, Qin Tang, D. Shi, Hongfei Lin, Zhihao Yang (2007). DUTIR at TREC 2007 Blog Track. Text Retrieval Conference.
  781. Zhihao Yang, Hongfei Lin, Yan-Peng Li (2007). Improving the Performance of Bio-Entity Name Recognition in Biomedical Literature via the Contextual Cues.DOI
  782. Linhong Xu, Hongfei Lin (2007). Ontology-Driven Affective Chinese Text Analysis and Evaluation Method. Affective Computing and Intelligent Interaction.DOI
  783. Zhihao Yang, Hongfei Lin, Baojin Cui, Yan-Peng Li, Xiao Zhang (2007). DUTIR at TREC 2007 Genomics Track. Text Retrieval Conference.
  784. Baojin Cui, Hongfei Lin, Zhihao Yang (2007). SVM-based Protein-Protein Interaction Extraction from Medline abstracts. 2007 Second International Conference on Bio-Inspired Computing: Theories and Applications.DOI
  785. Ran Chen, Hongfei Lin, Zhihao Yang (2007). Two Phase Indexes Based Passage Retrieval in Biomedical Texts. Life System Modeling and Simulation.DOI
  786. Hongfei Lin, Zhihao Yang, Jing Zhao (2007). Question-answering system based on concepts and statistics.DOI
  787. Jianmei Chen, Hui Ren, Linhong Xu, Hongfei Lin, Zhihao Yang (2007). DUTIR at TREC 2007 Enterprise Track. Text Retrieval Conference.
  788. Hongfei Lin, Yan-Peng Li, Zhihao Yang (2007). Incorporating Dictionary Features into Conditional Random Fields for Gene/Protein Named Entity Recognition. PAKDD Workshops.DOI
  789. Dan Song, Hongfei Lin, Zhihao Yang (2007). Opinion Mining in e-Learning System. IFIP International Conference on Network and Parallel Computing.DOI
  790. Hongfei Lin (2007). Text Categorization Based on Rough Set Attributes Reduction. Journal of Zhengzhou University.
  791. Hongfei Lin (2007). Comparison study on categorization algorithms for biomedical literatures. Computer Engineering and Applications Journal.
  792. Hongfei Lin (2007). The Study on Chinese Hypertext Categorization Based on Structure and Extended Hyperlink. Microelectronics & Computer.
  793. 潘红艳,林鸿飞,赵晶(2006). 基于矩阵划分和兴趣方差的协同过滤算法. 《情报学报》, Vol. 25, No. 1.下载原文
  794. 李刚,郭崇慧,林鸿飞,杨志豪,唐焕文(2006). 基于词典法和机器学习法相结合的蛋白质名识别. 《计算机与应用化学》.
  795. 赵晶,林鸿飞,卢冶(2006). 可视化文本分类树浏览机制. 《小型微型计算机系统》.
  796. Zhihao Yang, Hongfei Lin, Jing Zhao (2006). Gene Name Automatic Recognition in Biomedical Literature. World Congress on Intelligent Control and Automation.DOI
  797. Zhihao Yang, Hongfei Lin, Yan-Peng Li, Linhong Xu, Yu Pan, Baoyan Liu (2006). DUTIR at TREC 2006: Genomics and Enterprise Tracks. Text Retrieval Conference.
  798. 金珠,林鸿飞,赵晶(2005). 基于HowNet的话题跟踪及倾向性分类研究. 《情报学报》, Vol. 24, No. 5.下载原文
  799. 郑海,林鸿飞,杨志豪,付建文(2005). 基于概念和关联扩充的文本标题分类机制. 《小型微型计算机系统》.
  800. Zhihao Yang, Hongfei Lin, Yan-Peng Li, Baoyan Liu, Ye Lu (2005). TREC 2005 Genomics Track Experiments at DUTAI. Text Retrieval Conference.
  801. 林鸿飞,杨元生(2002). 用户兴趣模型的表示和更新机制. 《计算机研究与发展》.
  802. 林鸿飞,王剑峰(2001). 基于合作模式的文本过滤模型. 《小型微型计算机系统》.
  803. 林鸿飞(2001). 基于混合模式的文本过滤模型. 《计算机研究与发展》.
  804. 林鸿飞(2001). 基于示例的文本标题分类机制. 《计算机研究与发展》.
  805. 林鸿飞,战学刚,姚天顺(2000). 基于概念扩充的中文文本过滤模型. 《计算机科学》.
  806. 林鸿飞,贡大跃,张跃,姚天顺(2000). 可视化中文文本挖掘模型. 《计算机科学》.
  807. 林鸿飞,战学刚,姚天顺(2000). 基于潜在语义索引的文本分析方法. 《模式识别与人工智能》.
  808. 林鸿飞,李业丽,姚天顺(2000). 中文文本过滤的信息分流机制. 《计算机研究与发展》.
  809. 战学刚,林鸿飞,姚天顺(2000). 中文信息检索中的相关反馈. 《计算机科学》.
  810. 林鸿飞,战学刚,姚天顺(2000). 基于概念的文本结构分析方法. 《计算机研究与发展》.
  811. 林鸿飞,战学刚,姚天顺(2000). 文本结构分析与基于示例的文本过滤. 《小型微型计算机系统》.
  812. 战学刚,林鸿飞,姚天顺(2000). Infolite中文检索系统. 《小型微型计算机系统》.
  813. 林鸿飞,姚天顺(2000). 基于概念的中文文本可视化表示机制. 《小型微型计算机系统》.
  814. 林鸿飞,李业丽,姚天顺(2000). 中英文双语交叉过滤的逻辑模型. 《计算机工程与应用》.
  815. 孙杰,林鸿飞,姚天顺(1999). 一种获取机器翻译系统词类搭配规则的机器学习方法. 《模式识别与人工智能》.

预印本

  1. Bo Xu, Chenyuan Wang, Xinyu Chen, Quanhao Zhu, Rui Lin, Liang Zhao, Hongfei Lin, Feng Xia (2026). Learn Before You Judge: Progressive Knowledge-to-Decision Alignment for Explainable Hateful Meme Detection. arXiv (Cornell University).DOI
  2. Junyu Lu, Weiming Wang, Deyi Ji, Lanyun Zhu, Bo Xu, Liang Yang, Hongfei Lin, Roy Ka-Wei Lee (2026). Detection and Safeguarding of Chinese Toxic Content from Users and LLMs: A Survey. Research Square.DOI
  3. Kelaiti Xiao, L T Yang, Paerhati Tulajiang, D D Zhang, Hongfei Lin (2026). Benchmarking and Enhancing Figurative Text-to-Image Generation through Iterative Multimodal Self-Refinement. SSRN Electronic Journal.DOI
  4. Liangwei Yang, Shiyi Li, Yingxu Li, jingjie zeng, Yuanyuan Sun, Tiejun Xing, Hongfei Lin (2025). Dethate-Llm:Large Language Model for Unified Implicit Hate Detection and Explanation. SSRN Electronic Journal.DOI
  5. Zhizheng Wang, Yuanyuan Sun, Weidong He, Xiaokun Zhang, Bo Xu, Zhihao Yang, Hongfei Lin (2023). Unsupervised Continual Learning with Multi-View Data Fusion for Dynamic Network Embedding. SSRN Electronic Journal.DOI

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