百晓学者学者目录

胡学钢

合肥工业大学计算机与信息学院

个人简介

胡学钢，合肥工业大学计算机与信息学院教授、博士生导师，教育部计算机类专业教学指导委员会（2018–2022）委员，教育部工程教育认证专家，教育部本科教育教学评估专家，安徽省高校计算机教育研究会理事长，安徽省教学名师。主要研究方向为数据挖掘、知识工程、算法设计，以及计算机软件及计算机应用、自动化技术、图书情报与数字图书馆。

精选作品

期刊论文

  1. 夏娜，陈磊，杜华争，吴锦华，石雷，杨娟，胡学钢，王浩（2026）. 四维协同，思维塑造：新工科人工智能通识教育研究与实践. 《计算机教育》.
  2. Tiancheng He, Shengyu Xu, Yuhong Zhang, Xuegang Hu (2026). A Multi-Granularity Cognitive Diagnosis Method Via Differentiated Cross-Granularity Transfer. 2026 6th International Conference on Computer, Control and Robotics (ICCCR).DOI
  3. Yuhong Zhang, Congmei Shi, Xuegang Hu (2026). Label‐Aware Augmentation for Long‐Tailed Cross‐Network Node Classification. Expert Syst. J. Knowl. Eng..DOI
  4. Aoxiang Li, Yuhong Zhang, Xuegang Hu (2026). Mitigating Alignment Loss: Node Partitioning and Graph Diffusion for Scalable Entity Alignment. 2026 9th International Conference on Artificial Intelligence and Big Data (ICAIBD).DOI
  5. Yuhong Zhang, Tiancheng He, Chen-Yang Bu, Kui Yu, Xuegang Hu, Xin-Dong Wu (2026). MGCD: Multiple-Granularity Cognitive Diagnosis in Intelligent Education Systems. ACM Trans. Inf. Syst..DOI
  6. Yizhang Zou, Xuegang Hu, Peipei Li, You Wu (2026). Unified online weak multi-Label learning in drifting and imbalanced data streams. Knowledge-Based Systems.DOI
  7. Haoyang Liu, Xuegang Hu, Yaojin Lin, Peipei Li (2026). DSPL: Dual-Space Prompt Learning With Context Bias Decoupling for Open Set Recognition. IEEE Transactions on Knowledge and Data Engineering.DOI
  8. 武优，王静，李培培，胡学钢（2025）. 半监督偏多标签特征选择. 《计算机科学》.
  9. 王冕，张玉红，刘菲，卜晨阳，胡学钢（2025）. 长尾分布下基于层内相似关系的认知诊断模型. 《郑州大学学报(理学版)》.DOI
  10. 刘彬彬，李宏芒，唐益明，胡学钢，李建华，石雷（2025）. 面向编译器实现的编译原理实践教学改革. 《第32届计算机新科技与教育学术会议论文集》.DOI
  11. Peipei Li, Shiying Yu, Jiajun Li, Xuegang Hu (2025). Semi-Supervised Short Text Stream Classification Based on Drift-Aware Incremental Deep Learning. IEEE Transactions on Knowledge and Data Engineering.DOI
  12. Yizhang Zou, Xuegang Hu, Peipei Li, Jun Hu (2025). Weak Multi-Label Data Stream Classification Under Distribution Changes in Labels. IEEE Transactions on Big Data.DOI
  13. Sheng Xu, Xuegang Hu, Haiping Wang, Haixiang Zhang, Peipei Li (2025). Semi-Supervised Medical Image Segmentation using Swin Transformer with Focused Linear Self-Attention and Data Augmentation. 2025 8th International Conference on Artificial Intelligence and Big Data (ICAIBD).DOI
  14. Yizhang Zou, Xuegang Hu, Peipei Li, You Wu, Jun Hu (2025). Online multi-label classification under noisy and changing label distribution. Pattern Recognition.DOI
  15. Yuhong Zhang, Zhihao Lin, Chen-Yang Bu, Kui Yu, Xuegang Hu, Xindong Wu (2025). A Cognitive Diagnosis Model With Nonlinear Dependence Between Students and Exercises. IEEE Transactions on Computational Social Systems.DOI
  16. Haoyang Liu, Peipei Li, Xuegang Hu, Shengxing Bai, Yao-Jin Lin (2025). Multi-granularity decision information integration network for hierarchical classification via local and global constraints. Applied intelligence (Boston).DOI
  17. Yang Li, Yang Li, Xuegang Hu, Peipei Li, Lei Wang, Zhu‐Hong You (2025). Hypergraph representation learning for identifying circRNA-disease associations. Pattern Recognition.DOI
  18. Yihao Ouyang, Peipei Li, Haixiang Zhang, Xuegang Hu (2025). Semi-Supervised Medical Image Segmentation Based on Frequency Domain Aware Stable Consistency Regularization. Journal of Imaging Informatics in Medicine.DOI
  19. Chenlong He, Xuegang Hu, Zhiyong Cao, Chenyang Bu, Wenjian Luo (2025). Enhancing Continuous Cognitive Diagnosis with Fuzzy Strategy-Based Hybrid Genetic Algorithm. Communications in computer and information science.DOI
  20. 王雨晨，邱士远，李培培，胡学钢（2024）. 基于核极限学习机的多标签数据流半监督在线分类方法. 《模式识别与人工智能》.
  21. 张海翔，李培培，胡学钢（2024）. 基于自适应密度邻域关系的多标签在线流特征选择. 《计算机技术与发展》.
  22. 张海翔，李培培，胡学钢（2024）. 类不平衡的公共和标签特定特征多标签分类. 《计算机技术与发展》.
  23. Yuhong Zhang, Yun-Long Ji, Kui Yu, Xuegang Hu, Xindong Wu (2024). A cross-network node classification method in open-set scenario. Pattern Recognition.DOI
  24. Yuhong Zhang, Tao Chen, Kui Yu, Xuegang Hu (2024). Zero-shot learning with visual-semantic mutual reinforcement for image recognition. J. Electronic Imaging.DOI
  25. Yuhong Zhang, Xiaolong Zhu, Xuegang Hu (2024). Entity alignment in noisy knowledge graph. Applied intelligence (Boston).DOI
  26. Zhanwang Chen, Peipei Li, Xuegang Hu (2024). Knowledge and separating soft verbalizer based prompt-tuning for multi-label short text classification. Applied intelligence (Boston).DOI
  27. Fei-Tsung Liu, Chen-Yang Bu, Haotian Zhang, Le Wu, Kui Yu, Xuegang Hu (2024). FDKT: Towards an Interpretable Deep Knowledge Tracing via Fuzzy Reasoning. ACM Trans. Inf. Syst..DOI
  28. Yuhong Zhang, Congmei Shi, Xinzheng Li, Zan Zhang, Xuegang Hu (2024). Multicomponent Similarity Graphs for Cross-Network Node Classification. IEEE Transactions on Artificial Intelligence.DOI
  29. Haoyang Liu, Yao-Jin Lin, Peipei Li, Jun Hu, Xuegang Hu (2024). Class-Specific Semantic Generation and Reconstruction Learning for Open Set Recognition. International Joint Conference on Artificial Intelligence.DOI
  30. Xuegang Hu, Jing Feng, Juelin Gong (2024). LFFNet: lightweight feature-enhanced fusion network for real-time semantic segmentation of road scenes. Pattern Analysis and Applications.DOI
  31. Boyan Wang, Xuegang Hu, Rongjun Ge, Chenchu Xu, Jinglin Zhang, Zhifan Gao, Shu Zhao, Kemal Polat (2024). Prediction of Freezing of Gait in Parkinson's disease based on multi-channel time-series neural network. Artif. Intell. Medicine.DOI
  32. 胡学钢，李扬，王磊，李培培，尤著宏（2023）. 生物标志物智能识别关键技术：环状RNA与疾病关联预测研究综述. 《计算机科学》.
  33. 张玉红，植文武，李培培，胡学钢（2023）. 基于双判别器对抗模型的半监督跨语言词向量表示方法. 《计算机研究与发展》.
  34. 张海翔，李培培，胡学钢（2023）. 基于缺失特征的高维多标签学习. 《微电子学与计算机》.
  35. 夏娜，万家山，杜华争，罗珣，李建华，胡学钢，王浩（2023）. 一种递进式新工科创新人才培养体系探索. 《高教学刊》.
  36. 李扬，胡学钢，王磊，李培培，尤著宏（2023）. 基于图神经网络的环状RNA生物标志物筛选预测算法. 《中国科学:信息科学》.
  37. Fei-Tsung Liu, Xuegang Hu, Shuochen Liu, Chen-Yang Bu, Le Wu (2023). Meta Multi-agent Exercise Recommendation: A Game Application Perspective. Knowledge Discovery and Data Mining.DOI
  38. Chen-Yang Bu, Fei-Tsung Liu, Zhi-Yong Cao, Lei Li, Yuhong Zhang, Xuegang Hu, Wenjian Luo (2023). Cognitive Diagnostic Model Made More Practical by Genetic Algorithm. IEEE Transactions on Emerging Topics in Computational Intelligence.DOI
  39. Yizhang Zou, Xuegang Hu, Pei-Pei Li (2023). Online Multi-Label Classification with Scalable Margin Robust to Missing Labels. 2023 IEEE International Conference on Knowledge Graph (ICKG).DOI
  40. Jiajun Li, Pei-Pei Li, Xuegang Hu (2023). Semi-supervised Short Text Classification Based On Dual-channel Data Augmentation. IEEE International Joint Conference on Neural Network.DOI
  41. Yizhang Zou, Xuegang Hu, Peipei Li, Yuhang Ge (2023). Learning shared and non-redundant label-specific features for partial multi-label classification. Information Sciences.DOI
  42. Junwei Lv, Yuqi Chu, Jun Hu, Peipei Li, Xuegang Hu (2023). Second-order Confidence Network for Early Classification of Time Series. ACM Transactions on Intelligent Systems and Technology.DOI
  43. Yuhong Zhang, Jian-Qing Wu, Qi Zhang, Xuegang Hu (2023). Multi-view Feature Learning for the Over-penalty in Adversarial Domain Adaptation. Data Intelligence.DOI
  44. Qingxia Jiang, Pei-Pei Li, Yuhong Zhang, Xuegang Hu (2023). Global and Adaptive Local Label Correlation for Multi-label Learning with Missing Labels. IEEE International Joint Conference on Neural Network.DOI
  45. Yizhang Zou, Xuegang Hu, Pei-Pei Li (2023). Gradient-based multi-label feature selection considering three-way variable interaction. Pattern Recognition.DOI
  46. Ying He, Gongqing Wu, Desheng Cai, Xuegang Hu (2023). Cross-View Sample-Enriched Graph Contrastive Learning Network for Personalized Micro-video Recommendation. International Conference on Multimedia Retrieval.DOI
  47. Peipei Li, Yingying Liu, Yang Hu, Yuhong Zhang, Xuegang Hu, Kui Yu (2023). A Drift-Sensitive Distributed LSTM Method for Short Text Stream Classification. IEEE Transactions on Big Data.DOI
  48. Xiulan Yuan, Xuegang Hu, Pei-Pei Li (2023). Multi-source Multi-label Feature Selection. IEEE International Joint Conference on Neural Network.DOI
  49. Rui Luo, Fei Liu, Wenhao Liang, Yuhong Zhang, Chenyang Bu, Xuegang Hu (2023). DAGKT: Difficulty and Attempts Boosted Graph-Based Knowledge Tracing. Lecture notes in computer science.DOI
  50. Xuegang Hu, Jing Feng (2023). A Fast Attention-Guided Hierarchical Decoding Network for Real-Time Semantic Segmentation. Italian National Conference on Sensors.DOI
  51. Fang-Zhou Zhu, Xuegang Hu, Xiao Shi, Hong-Sheng Xu (2023). A Multiscale MixFormer Network for Computer-Aided Alzheimer's Disease Diagnosis. 2023 3rd International Conference on Computer Science, Electronic Information Engineering and Intelligent Control Technology (CEI).DOI
  52. 张海翔，李培培，胡学钢（2022）. 基于核极限学习机的多标签数据流集成分类方法. 《数据采集与处理》.
  53. 张海翔，李培培，胡学钢（2022）. 基于自适应领域粗糙集的多标签在线流特征选择. 《微电子学与计算机》.
  54. 石雷，樊玉琦，胡学钢，陆阳，毕翔，吕增威（2022）. 新工科建设背景下基于低代码开发平台的软件工具与环境课程教学. 《计算机教育》.
  55. Yuhong Zhang, Zhihao Lin, Lin Qian, Xuegang Hu (2022). Multi-modal Component Representation for Multi-source Domain Adaptation Method. Pacific Rim International Conference on Artificial Intelligence.DOI
  56. Shuai Sun, Xuegang Hu, Chen-Yang Bu, Fei-Tsung Liu, Yuhong Zhang, Wenjian Luo (2022). Genetic Algorithm for Bayesian Knowledge Tracing: A Practical Application. International Conference on Swarm Intelligence.DOI
  57. Zhi-Dong Huang, Peipei Li, Xuegang Hu (2022). PU Matrix Completion Based Multi-label Classification with Missing Labels. International Conference on Intelligent Systems Design and Applications.DOI
  58. Yuhang Ge, Xuegang Hu, Pei-Pei Li, Hao-Bo Wang, J. Zhao, Junlong Li (2022). Multi-label Learning with Data Self-augmentation. International Conference on Neural Information Processing.DOI
  59. Yuhong Zhang, Hai-Tao Shu, Chen-Yang Bu, Xuegang Hu (2022). A Zero-shot Learning Method with a Multi-Modal Knowledge Graph. IEEE International Conference on Tools with Artificial Intelligence.DOI
  60. Fei Liu, Xuegang Hu, Chen-Yang Bu, Kui Yu (2022). Fuzzy Bayesian Knowledge Tracing. IEEE transactions on fuzzy systems.DOI
  61. XianLiang Si, Pei-Pei Li, Xuegang Hu, Yuhong Zhang (2022). An Online Dirichlet Model based on Sentence Embedding and DBSCAN for Noisy Short Text Stream Clustering. IEEE International Joint Conference on Neural Network.DOI
  62. Haotian Zhang, Chenyang Bu, Fei Liu, Shuochen Liu, Yuhong Zhang, Xuegang Hu (2022). APGKT: Exploiting Associative Path on Skills Graph for Knowledge Tracing. Lecture notes in computer science.DOI
  63. Xinzheng Li, Yuhong Zhang, Pei-Pei Li, Xuegang Hu (2022). Structure Similarity Graph for Cross-Network Node Classification. IEEE International Conference on Tools with Artificial Intelligence.DOI
  64. Yang Li, Xuegang Hu, Peipei Li, Lei Wang, Zhu‐Hong You (2022). Predicting circRNA-disease associations using similarity assessing graph convolution from multi-source information networks. IEEE International Conference on Bioinformatics and Biomedicine (BIBM).DOI
  65. Yang Li, Xuegang Hu, Zhu‐Hong You, Liping Li, Peipei Li, Yanbin Wang, Yu‐An Huang (2022). Robust and accurate prediction of self-interacting proteins from protein sequence information by exploiting weighted sparse representation based classifier. BMC Bioinformatics.DOI
  66. Yang Li, Xuegang Hu, Lei Wang, Peipei Li, Zhu‐Hong You (2022). MNMDCDA: prediction of circRNA–disease associations by learning mixed neighborhood information from multiple distances. Briefings in Bioinformatics.DOI
  67. Yuhang Ge, Xuegang Hu (2022). Enhancing Graph Variational Autoencoder for Short Text Topic Modeling with Mutual Information Maximization. IEEE International Conference on Knowledge Graph (ICKG).DOI
  68. Gongqing Wu, Xingrui Zhuo, Xianyu Bao, Xuegang Hu, Richang Hong, Xindong Wu (2022). Crowdsourcing Truth Inference via Reliability-Driven Multi-View Graph Embedding. ACM Transactions on Knowledge Discovery from Data.DOI
  69. Boyan Wang, Xuegang Hu, Jinglin Zhang, Chenchu Xu, Zhifan Gao (2022). Intelligent Internet of Things in Mammography Screening Using Multicenter Transformation Between Unified Capsules. IEEE Internet of Things Journal.DOI
  70. Shiyuan Qiu, Peipei Li, Xuegang Hu (2022). Semi-Supervised Online Kernel Extreme Learning Machine for Multi-Label Data Stream Classification. 2022 International Joint Conference on Neural Networks (IJCNN).DOI
  71. Mengxuan Sun, Peipei Li, Junlong Li, Xuegang Hu (2022). Multi-Label Learning with Missing Labels via Common and Label-Specific Features. 2022 International Joint Conference on Neural Networks (IJCNN).DOI
  72. Junwei Lv, Xuegang Hu (2022). A Baseline for Early Classification of Time Series in An Open World. IEEE Annual Computers, Software, and Applications Conference (COMPSAC).DOI
  73. Yi Qing Zhu, Xindong Wu, Jipeng Qiang, Xuegang Hu, Yuhong Zhang, Peipei Li (2022). Representation learning with deep sparse auto-encoder for multi-task learning. Pattern Recognition.DOI
  74. Yang Li, Zheng Wang, Zhuhong You, Liping Li, Xuegang Hu (2022). Predicting Protein-Protein Interactions via Random Ferns with Evolutionary Matrix Representation. Computational and Mathematical Methods in Medicine.DOI
  75. Peipei Li, Haixiang Zhang, Xuegang Hu, Xindong Wu (2022). High-Dimensional Multi-Label Data Stream Classification With Concept Drifting Detection. IEEE Transactions on Knowledge and Data Engineering.DOI
  76. Junwei Lv, Ying He, Xuegang Hu, Desheng Cai, Yuqi Chu, Jun Hu (2022). Dual Confidence Learning Network for Open-World Time Series Classification. Lecture notes in computer science.DOI
  77. 周鹏，赵姝，胡学钢（2021）. 以学生为中心的软件工程综合实践教学探讨. 《滁州学院学报》.
  78. 罗珣，李建华，胡学钢（2021）. 疫情期间线上课程考试方案的设计. 《计算机教育》.DOI
  79. 沙有闯，胡学钢，付贤政，袁明磊（2021）. 基于静态分析方法的Android应用内存泄漏检测模型. 《吉林师范大学学报(自然科学版)》.DOI
  80. Boyan Wang, Xuegang Hu, Chenwei Zhang, Peipei Li, Philip S. Yu (2021). Hierarchical GAN-Tree and Bi-Directional Capsules for multi-label image classification. Knowledge-Based Systems.DOI
  81. Fang Fang, Xuegang Hu, Jianhua Shu, Pin Wang, Tongping Shen, Fangfang Li (2021). Text Classification Model Based on Multi-head self-attention mechanism and BiGRU. IEEE Conference on Telecommunications, Optics and Computer Science (TOCS).DOI
  82. Yuhong Zhang, Yuxin Xie, Peipei Li, Xuegang Hu (2021). A Key-phrase Extraction Method Based on Multi-size Convolution Windows for Scientific Literatures. IEEE International Conference on Cloud Computing and Intelligent Systems (CCIS).DOI
  83. Junlong Li, Peipei Li, Xuegang Hu, Kui Yu (2021). Learning common and label-specific features for multi-Label classification with correlation information. Pattern Recognition.DOI
  84. Yingying Liu, Peipei Li, Xuegang Hu (2021). Combining context-relevant features with multi-stage attention network for short text classification. Computer Speech & Language.DOI
  85. Junlong Li, Peipei Li, Yizhang Zou, Xuegang Hu (2021). Multi-Label Learning with Missing Features.DOI
  86. Yizhang Zou, Xuegang Hu, Peipei Li, Junlong Li (2021). Multi-Label Streaming Feature Selection via Class-Imbalance Aware Rough Set.DOI
  87. Peipei Li, Man Wu, Junhong He, Xuegang Hu (2021). Recurring Drift Detection and Model Selection-Based Ensemble Classification for Data Streams with Unlabeled Data. New Generation Computing.DOI
  88. Yuling Li, Yuhong Zhang, Kui Yu, Xuegang Hu (2021). Adversarial training with Wasserstein distance for learning cross-lingual word embeddings. Applied Intelligence.DOI
  89. Boyan Wang, Xuegang Hu, Peipei Li, Philip S. Yu (2021). Cognitive structure learning model for hierarchical multi-label text classification. Knowledge-Based Systems.DOI
  90. Xiulin Zheng, Peipei Li, Xuegang Hu, Kui Yu (2021). Semi-supervised classification on data streams with recurring concept drift and concept evolution. Knowledge-Based Systems.DOI
  91. 胡学钢，刘菲，卜晨阳（2020）. 教育大数据中认知跟踪模型研究进展. 《计算机研究与发展》.
  92. 何伟，胡学钢，杨恒宇（2020）. 基于标签扩散的时序平滑社团检测算法. 《合肥工业大学学报(自然科学版)》.
  93. 胡学钢（2020）. 对科研团队建设的思考. 《安徽科技》.
  94. 李磊，薛明鹤，胡学钢，李培培，吴共庆（2020）. 基于微信小程序和Python的人工智能原理实验方案设计. 《计算机教育》.DOI
  95. 安鑫，胡学钢，陈付龙，卢建良，李建华，陈田，张昱（2020）. 面向系统能力培养的硬件类课程实践体系构建. 《计算机教育》.DOI
  96. 胡龙茂，胡学钢（2020）. 基于多维相似度和情感词扩充的相同产品特征识别. 《山东大学学报(工学版)》.
  97. Xuegang Hu, Fei-Tsung Liu, Chen-Yang Bu (2020). Research Advances on Knowledge Tracing Models in Educational Big Data.DOI
  98. Xuegang Hu, Jianxing Liao, Peipei Li, Junwei Lv, Lei Li (2020). Learning Wasserstein Distance-Based Gaussian Graphical Model for Multivariate Time Series Classification. IEEE International Conference on Knowledge Graph (ICKG).DOI
  99. Ying He, Gongqing Wu, Desheng Cai, Shengjie Hu, Xianyu Bao, Xuegang Hu (2020). Attentive interaction-driven entity resolution over multi-source web information. Neurocomputing.DOI
  100. Yongzeng Yue, Yuhong Zhang, Xuegang Hu, Peipei Li (2020). Extremely Short Chinese Text Classification Method Based on Bidirectional Semantic Extension. Journal of Physics Conference Series.DOI
  101. Junwei Lv, Xuegang Hu, Lei Li, Peipei Li (2020). Corrections to “An Effective Confidence-Based Early Classification of Time Series”. IEEE Access.DOI
  102. 邵玉涵，李培培，胡学钢（2019）. 一种基于全局领域和短期记忆因子的图模型. 《计算机工程与科学》.
  103. 杨帅，胡学钢，张玉红（2019）. 用于域适应的多边缘降噪自动编码器. 《计算机科学与探索》.
  104. 张玉红，李培培，胡学钢（2019）. 关于人工智能专业中数据结构课程教学的几点思考. 《计算机教育》.DOI
  105. 汪萍，胡学钢，王荣荣，王乐（2019）. 面向博物馆的XR+展览交互系统设计与实现. 《安庆师范大学学报(自然科学版)》.DOI
  106. 胡学钢，卜晨阳，刘菲，吴共庆（2019）. 基于学生解题分析的认知诊断研究. 《计算机教育》.DOI
  107. 王浩，吴共庆，胡学钢，姚宏亮，李培培（2019）. 新工科背景下人工智能通识系列课程建设与实践. 《计算机教育》.DOI
  108. Xiulin Zheng, Peipei Li, Zhe Chu, Xuegang Hu (2019). A Survey on Multi-Label Data Stream Classification. IEEE Access.DOI
  109. Longmao Hu, Bingwu Fang, Xuegang Hu (2019). Appraisal expression extraction based on semantic and dependency parsing.DOI
  110. Fei Liu, Zhenchun Wei, Zhensheng Huang, Yang Lu, Xuegang Hu, Lei Shi (2019). A Multi-Grouped LS-SVM Method for Short-Term Urban Traffic Flow Prediction. Globecom.DOI
  111. Lei Li, Wei Li, Jianxing Liao, Xuegang Hu (2019). Adaptive State Continuity-Based Sparse Inverse Covariance Clustering for Multivariate Time Series. International Conference on Security, Pattern Analysis, and Cybernetics (SPAC).DOI
  112. Yuhong Zhang, Yuling Li, Yi Qing Zhu, Xuegang Hu (2019). Wasserstein GAN based on Autoencoder with back-translation for cross-lingual embedding mappings. Pattern Recognition Letters.DOI
  113. Shuai Yang, Hao Wang, Yuhong Zhang, Peipei Li, Yi Qing Zhu, Xuegang Hu (2019). Semi-supervised representation learning via dual autoencoders for domain adaptation. Knowledge-Based Systems.DOI
  114. Zhe Chu, Peipei Li, Xuegang Hu (2019). Co-training Based on Semi-Supervised Ensemble Classification Approach for Multi-label Data Stream. IEEE International Conference on Big Knowledge (ICBK).DOI
  115. Yuxin Xie, Xuegang Hu, Yuhong Zhang, Shi Li (2019). Unsupervised Keyword Extraction Method Based on Chinese Patent Clustering. IEEE International Conference on Big Knowledge (ICBK).DOI
  116. Yuling Li, Yuhong Zhang, Peipei Li, Xuegang Hu (2019). Unsupervised Cross-Lingual Word Embeddings Learning with Adversarial Training. IEEE International Conference on Big Knowledge (ICBK).DOI
  117. Yi Qing Zhu, Xindong Wu, Peipei Li, Yuhong Zhang, Xuegang Hu (2019). Transfer learning with deep manifold regularized auto-encoders. Neurocomputing.DOI
  118. Shuai Yang, Yuhong Zhang, Yi Qing Zhu, Peipei Li, Xuegang Hu (2019). Representation learning via serial autoencoders for domain adaptation. Neurocomputing.DOI
  119. Jianxing Liao, Junwei Lv, Yuhan Shao, Peipei Li, Xuegang Hu (2019). Application of BP Neural Network Ensemble Model Based on Bagging Algorithm. International Journal of Machine Learning and Computing.DOI
  120. Junwei Lv, Xuegang Hu, Lei Li, Peipei Li (2019). An Effective Confidence-Based Early Classification of Time Series. IEEE Access.DOI
  121. Gongqing Wu, Huicheng Zhang, Ying He, Xianyu Bao, Lei Li, Xuegang Hu (2019). Learning Kullback-Leibler Divergence-Based Gaussian Model for Multivariate Time Series Classification. IEEE Access.DOI
  122. Shuai Yang, Yuhong Zhang, Yi Qing Zhu, Han Ding, Xuegang Hu (2019). The $$\ell _{2,1}$$-Norm Stacked Robust Autoencoders via Adaptation Regularization for Domain Adaptation. Lecture notes in computer science.DOI
  123. 胡学钢，杨恒宇，林耀进，鲍艳伟（2018）. 基于协同过滤的专利TRIZ分类方法. 《情报学报》, Vol. 37, No. 5.下载原文
  124. 储光，胡学钢，张玉红（2018）. 基于语义的文本数据流概念漂移检测算法. 《计算机工程》.
  125. 王海燕，胡学钢，李培培（2018）. 基于向量表示和标签传播的半监督短文本数据流分类算法. 《模式识别与人工智能》.
  126. 李鼎宇，胡学钢（2018）. 面向短文本的跨领域情感分类算法. 《小型微型计算机系统》.
  127. 何伟，胡学钢，李磊，林耀进，李慧宗，潘剑寒（2018）. 社团演化特征构造及预测. 《小型微型计算机系统》.
  128. 杨奇奇，张玉红，胡学钢（2018）. 一种基于多桥映射的跨领域文本分类方法. 《计算机应用研究》.
  129. 王勤勤，张玉红，李培培，胡学钢（2018）. 基于word2vec的跨领域情感分类方法. 《计算机应用研究》.
  130. 胡学钢，何俊宏，李培培（2018）. 一种基于距离和采样机制的数据流分类方法. 《计算机应用研究》.
  131. 叶明全，高凌云，伍长荣，黄道斌，胡学钢（2018）. 基于对称不确定性和邻域粗糙集的肿瘤分类信息基因选择. 《数据采集与处理》.
  132. 胡学钢，孙光灵（2018）. 2018中国高校计算机教育大会在安徽合肥隆重举行. 《计算机教育》.
  133. Xuegang Hu, Jun He, Pei-Pei Li (2018). Data streams classification approach based on distance and sampling.
  134. Peng Zhou, Xuegang Hu, Peipei Li, Xindong Wu (2018). Online streaming feature selection using adapted Neighborhood Rough Set. Information Sciences.DOI
  135. Yuhong Zhang, Mimi Wu, Xuegang Hu, Yi Qing Zhu (2018). An Online Transfer Learning Algorithm with Adaptive Cost.DOI
  136. Yishun Jiang, Gongqing Wu, Chenyang Bu, Xuegang Hu (2018). Chinese Entity Relation Extraction Based on Syntactic Features. IEEE International Conference on Big Knowledge (ICBK).DOI
  137. Yi Qing Zhu, Xuegang Hu, Yuhong Zhang, Peipei Li (2018). Semi-Supervised Representation Learning: Transfer Learning with Manifold Regularized Auto-Encoders. IEEE International Conference on Big Knowledge (ICBK).DOI
  138. Xuegang Hu, Haiyan Wang, Peipei Li (2018). Online Biterm Topic Model based short text stream classification using short text expansion and concept drifting detection. Pattern Recognition Letters.DOI
  139. Peng Zhou, Xuegang Hu, Peipei Li, Xindong Wu (2018). OFS-Density: A novel online streaming feature selection method. Pattern Recognition.DOI
  140. Yi Qing Zhu, Xuegang Hu, Yuhong Zhang, Peipei Li (2018). Transfer learning with stacked reconstruction independent component analysis. Knowledge-Based Systems.DOI
  141. Gongqing Wu, Ying He, Xuegang Hu (2018). Entity Linking: An Issue to Extract Corresponding Entity With Knowledge Base. IEEE Access.DOI
  142. 胡学钢，王博岩，李培培（2017）. 多标签类重力密度和距离的图像注释方法. 《小型微型计算机系统》.
  143. 胡学钢，李慧宗，潘剑寒，何伟，杨恒宇（2017）. 联合主题模型的标签聚类方法. 《模式识别与人工智能》.
  144. 赵皎，沈明玉，胡学钢，王正彬（2017）. 一种面向多次发布的隐私保护模型. 《合肥工业大学学报(自然科学版)》.
  145. 吴共庆，刘鹏程，胡骏，胡学钢（2017）. 基于块密度加权标签路径特征的Web新闻在线抽取. 《中国科学:信息科学》.
  146. 杨恒宇，胡学钢，林耀进（2017）. 基于用户偏好的协同过滤推荐算法. 《合肥工业大学学报(自然科学版)》.
  147. 胡学钢，马利伟，李培培（2017）. 一种基于Tri-training的数据流集成分类算法. 《数据采集与处理》.
  148. Xuegang Hu, Wei He, Lei Li, Yaojin Lin, Huizong Li, Jianhan Pan (2017). An efficient and fast algorithm for community detection based on node role analysis. International Journal of Machine Learning and Cybernetics.DOI
  149. Peipei Li, He Lu, Haiyan Wang, Xuegang Hu, Yuhong Zhang, Lei Li, Xindong Wu (2017). Learning From Short Text Streams With Topic Drifts. IEEE Transactions on Cybernetics.DOI
  150. Peng Zhou, Xuegang Hu, Peipei Li, Xindong Wu (2017). Online feature selection for high-dimensional class-imbalanced data. Knowledge-Based Systems.DOI
  151. Xuegang Hu, Peng Zhou, Peipei Li, Jing Wang, Xindong Wu (2017). A survey on online feature selection with streaming features. Frontiers of Computer Science.DOI
  152. Peng Zhou, Xuegang Hu, Peipei Li (2017). A New Online Feature Selection Method Using Neighborhood Rough Set. IEEE International Conference on Big Knowledge (ICBK).DOI
  153. Desheng Cai, Jingjing He, Gongqing Wu, Xuegang Hu (2017). Synonymous Entity Recognition Based on Feature Fusion. IEEE International Conference on Big Knowledge (ICBK).DOI
  154. Gongqing Wu, Xuegang Hu, Jun Hu, P. Liu (2017). Online Web news extraction via tag path feature weighted by text block density. Scientia Sinica Informationis.DOI
  155. Xuegang Hu, Jun-hong HE, Peipei Li, Xindong Wu (2017). Drifting Detection and Model Selection based Ensemble Classification for Data Streams with Unlabeled Data.DOI
  156. Yuhong Zhang, Guang Chu, Peipei Li, Xuegang Hu, Xindong Wu (2017). Three-layer concept drifting detection in text data streams. Neurocomputing.DOI
  157. Dan Guo, Ermao Yuan, Xuegang Hu, Xindong Wu (2017). Co-occurrence pattern mining based on a biological approximation scoring matrix. Pattern Analysis and Applications.DOI
  158. Huaining Sun, Xuegang Hu (2017). Attribute selection for decision tree learning with class constraint. Chemometrics and Intelligent Laboratory Systems.DOI
  159. Jie Chen, Liandi Fang, Yanping Zhang, Shu Guo Zhao, Ling Zhang, Fulan Qian, Feng Liu, Xiangyang Wang, Xuegang Hu (2017). Three-Way Dicision Community Detection Algorithm Based on Local Group Information. Lecture notes in computer science.DOI
  160. 张玉红，陈伟，胡学钢（2016）. 一种面向不完全标记的文本数据流自适应分类方法. 《计算机科学》.
  161. 王海平，郭丹，项泰宁，胡学钢（2016）. 字符分布特征对带有通配符串匹配问题的影响. 《计算机应用研究》.
  162. 袁二毛，郭丹，胡学钢，吴信东（2016）. 基于打分矩阵的生物序列频繁模式挖掘. 《模式识别与人工智能》.
  163. 胡学钢，王海平，郭丹，李培培（2016）. 图算法求解带有限长空位和one-off约束的模式匹配问题. 《模式识别与人工智能》.
  164. 张晶，毕佳佳，张玉红，胡学钢（2016）. 基于模糊聚类的神经元识别方法. 《数据采集与处理》.
  165. Yuheng Zhang, Xuegang Hu, Fei Wu (2016). An Approach of Cross-domain Word Sentiment Orientation Identification on Reviews.
  166. Peipei Li, He Lu, Xuegang Hu, Yuhong Zhang, Lei Li, Xindong Wu (2016). Concept Based Short Text Stream Classification with Topic Drifting Detection. Proceedings.DOI
  167. Dan Guo, Chen Gao, Ni Wu, Xuegang Hu (2016). Max-Flow Rate Priority Algorithm for Evacuation Route Planning. IEEE International Conference on Data Science in Cyberspace.DOI
  168. Dan Guo, Ermao Yuan, Xuegang Hu (2016). Frequent Pattern Mining Based on Approximate Edit Distance Matrix. IEEE International Conference on Data Science in Cyberspace.DOI
  169. Hui-zong Li, Xuegang Hu, Yaojin Lin, Wei He, Jianhan Pan (2016). A social tag clustering method based on common co-occurrence group similarity. Frontiers of Information Technology & Electronic Engineering.DOI
  170. Xuegang Hu, Jianhan Pan, Peipei Li, Huizong Li, Wei He, Yuhong Zhang (2016). Multi-bridge transfer learning. Knowledge-Based Systems.DOI
  171. Jianhan Pan, Xuegang Hu, Peipei Li, Huizong Li, Wei He, Yuhong Zhang, Yaojin Lin (2016). Domain adaptation via Multi-Layer Transfer Learning. Neurocomputing.DOI
  172. Lu Liu, Jing Zhang, Peipei Li, Yuhong Zhang, Xuegang Hu (2016). A Label Correlation Based Weighting Feature Selection Approach for Multi-label Data. Lecture notes in computer science.DOI
  173. 李慧宗，胡学钢，杨恒宇，林耀进，何伟（2015）. 基于LDA的社会化标签综合聚类方法. 《情报学报》, Vol. 34, No. 2.下载原文
  174. 吴斐，张玉红，胡学钢（2015）. 面向评论信息的跨领域词汇情感倾向判别方法. 《计算机科学》.
  175. 杜梅，胡学钢，李磊，何伟（2015）. 基于网络结构极值优化的半监督社团检测方法. 《模式识别与人工智能》.
  176. 张润梅，胡学钢，王浩，姚宏亮（2015）. 基于能量计算模型的贝叶斯网络股市态势预测算法. 《模式识别与人工智能》.
  177. 张成叔，胡学钢（2015）. 持续性实时监测数据的无偏风险挖掘仿真. 《科技通报》.
  178. 郑亚军，胡学钢（2015）. 基于PFP的关联规则增量更新算法. 《合肥工业大学学报(自然科学版)》.
  179. 潘澄，吴共庆，李磊，胡学钢（2015）. 基于领域模型的网页搜索排序算法. 《计算机系统应用》.
  180. 徐喆昊，吴共庆，胡学钢（2015）. 基于同义实体识别的Web信息集成. 《计算机系统应用》.
  181. 徐旭，胡学钢，张玉红（2015）. 一种快速的基于特征选择的跨领域情感分类方法. 《合肥工业大学学报(自然科学版)》.
  182. 胡学钢，许尧，李培培，张玉红（2015）. 一种过滤式多标签特征选择算法. 《南京大学学报(自然科学)》.
  183. 王翔，胡学钢，杨秋洁（2015）. 基于One-R的改进随机森林入侵检测模型研究. 《合肥工业大学学报(自然科学版)》.
  184. 胡学钢（2015）. 数据流分类.
  185. Peipei Li, Xindong Wu, Xuegang Hu, Hao Wang (2015). An Incremental Decision Tree for Mining Multilabel Data. Applied Artificial Intelligence.DOI
  186. Jianhan Pan, Xuegang Hu, Yuhong Zhang, Peipei Li, Yaojin Lin, Huizong Li, Wei He, Lei Li (2015). Quadruple Transfer Learning: Exploiting both shared and non-shared concepts for text classification. Knowledge-Based Systems.DOI
  187. Yuhong Zhang, Xuegang Hu, Peipei Li, Lei Li, Xindong Wu (2015). Cross-domain sentiment classification-feature divergence, polarity divergence or both? Pattern Recognition Letters.DOI
  188. Peipei Li, Xindong Wu, Xuegang Hu, Hao Wang (2015). Learning concept-drifting data streams with random ensemble decision trees. Neurocomputing.DOI
  189. Peipei Li, Haixun Wang, Kenny Qili Zhu, Zhongyuan Wang, Xuegang Hu, Xindong Wu (2015). A Large Probabilistic Semantic Network Based Approach to Compute Term Similarity. IEEE Transactions on Knowledge and Data Engineering.DOI
  190. Jing Wang, Meng Wang, Xuegang Hu, Shuicheng Yan (2015). Visual data denoising with a unified Schatten- p norm and ℓ q norm regularized principal component pursuit. Pattern Recognition.DOI
  191. Yuhong Zhang, Xu Xu, Xuegang Hu (2015). A Common Subspace Construction Method in Cross-Domain Sentiment Classification. Advances in computer science research.DOI
  192. 李慧宗，胡学钢，何伟，潘剑寒（2014）. 社会化标注环境下的标签共现谱聚类方法. 《图书情报工作》.
  193. 项泰宁，郭丹，王海平，胡学钢（2014）. 带通配符的模式匹配问题及其解空间特征分析. 《计算机科学》.
  194. 强继朋，谢飞，高隽，胡学钢，吴信东（2014）. 带任意长度通配符的模式匹配. 《自动化学报》.
  195. 张靖，胡学钢，李培培，张玉红（2014）. 基于迭代Lasso的肿瘤分类信息基因选择方法研究. 《模式识别与人工智能》.
  196. 欧倩倩，张玉红，胡学钢（2014）. 基于实例重构的多领域快速适应方法. 《合肥工业大学学报(自然科学版)》.
  197. 马吴迪，胡学钢，何伟（2014）. 一种改进的二分网络链路预测算法. 《合肥工业大学学报(自然科学版)》.
  198. 吴晓倩，胡学钢（2014）. 基于N-最短路径的中文分词技术研究. 《安徽理工大学学报(自然科学版)》.
  199. 石鑫鑫，胡学钢，林耀进（2014）. 融合互近邻和可信度的K-近邻分类算法. 《合肥工业大学学报(自然科学版)》.
  200. 张成叔，胡学钢（2014）. 基于多分簇级联融合的差异数据库安全访问. 《科技通报》.
  201. Runmei Zhang, Xuegang Hu, Hao Wang, Hongliang Yao (2014). Fault Diagnosis Method in Complex System Using Bayesian Networks’ Sensitivity Analysis. Information Technology Journal.DOI
  202. Na Zhao, Richang Hong, Meng Wang, Xuegang Hu, Tat‐Seng Chua (2014). Searching for Recent Celebrity Images in Microblog Platform. ACM International Conference on Multimedia (ACM MM).DOI
  203. Jing Zhang, Xuegang Hu, Peipei Li, Wei He, Yuhong Zhang, Huizong Li (2014). A Hybrid Feature Selection Approach by Correlation-Based Filters and SVM-RFE. Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition.DOI
  204. Lei Li, Mei Du, Guanfeng Liu, Xuegang Hu, Gongqing Wu (2014). Extremal optimization-based semi-supervised algorithm with conflict pairwise constraints for community detection. IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).DOI
  205. Yingling Liu, Xindong Wu, Xuegang Hu, Jun Gao (2014). A Matching Algorithm in PMWL based on CluTree. New Generation Computing.DOI
  206. Jing Wang, Canyi Lu, Meng Wang, Peipei Li, Shuicheng Yan, Xuegang Hu (2014). Robust Face Recognition via Adaptive Sparse Representation. IEEE Transactions on Cybernetics.DOI
  207. Yaojin Lin, Xuegang Hu, Xindong Wu (2014). Ensemble learning from multiple information sources via label propagation and consensus. Applied Intelligence.DOI
  208. Yaojin Lin, Xuegang Hu, Xindong Wu (2014). Quality of information-based source assessment and selection. Neurocomputing.DOI
  209. Xindong Wu, Fei Xie, Yong‐Ming Huang, Xuegang Hu, Jun Gao (2014). Mining Sequential Patterns with Wildcards and the One-Off Condition. Journal of Software.DOI
  210. 林耀进，胡学钢，李慧宗（2013）. 基于用户群体影响的协同过滤推荐算法. 《情报学报》, Vol. 32, No. 3.下载原文
  211. 袁暋，胡春玲，胡学钢，姚宏亮（2013）. 一种基于桶树的自动推理问题求解算法. 《计算机科学》.
  212. 黄国林，郭丹，胡学钢（2013）. 求解近似模式匹配的启发式算法. 《计算机科学与探索》.
  213. 张玉红，胡学钢，张娟（2013）. 倾斜数据流中正例样本的漂移检测方法. 《计算机科学与探索》.
  214. 李慧宗，胡学钢（2013）. 基于MapReduce的社会化标签共现关系抽取方法. 《小型微型计算机系统》.
  215. 张玉红，周全，胡学钢（2013）. 面向跨领域情感分类的特征选择方法. 《模式识别与人工智能》.
  216. 叶明全，胡学钢，胡东辉，吴信东（2013）. 基于属性值分类的多层次粗糙集模型. 《模式识别与人工智能》.
  217. 纪滨，许正华，胡学钢，童宝宏（2013）. 基于颜色的食品品质检测技术现状及展望. 《食品与机械》.
  218. 马晓文，胡学钢，谢飞，郭丹（2013）. 带通配符的多序列模式挖掘. 《南京大学学报(自然科学)》.
  219. 黄敏，胡学钢（2013）. 网络舆情分析技术及系统构建. 《山东理工大学学报(自然科学版)》.
  220. 程文琛，胡学钢（2013）. 独立于应用的数据库聚类技术. 《合肥工业大学学报(自然科学版)》.
  221. 林耀进，胡学钢（2013）. 多数据源中局部模式挖掘研究. 《合肥工业大学学报(自然科学版)》.
  222. Mingquan Ye, Xindong Wu, Xuegang Hu, Donghui Hu (2013). Knowledge reduction for decision tables with attribute value taxonomies. Knowledge-Based Systems.DOI
  223. Dan Guo, Taining Xiang, Xuegang Hu, Xindong Wu (2013). Flexible Pattern Matching with Gap-Length and One-Off Conditions. Proceedings - International Conference on Tools with Artificial Intelligence, TAI.DOI
  224. Gongqing Wu, Li Li, Xuegang Hu, Xindong Wu (2013). Web news extraction via path ratios. Proceedings of the ... ACM International Conference on Information & Knowledge Management.DOI
  225. Xiaomei Li, Xindong Wu, Gongqing Wu, Xuegang Hu (2013). Subchloroplast Location Prediction via Homolog Knowledge Transfer and Feature Selection. Proceedings of the AAAI Conference on Artificial Intelligence.DOI
  226. Mingquan Ye, Xindong Wu, Xuegang Hu, Donghui Hu (2013). Multi-level rough set reduction for decision rule mining. Applied Intelligence.DOI
  227. Mingquan Ye, Xindong Wu, Xuegang Hu, Donghui Hu (2013). Anonymizing classification data using rough set theory. Knowledge-Based Systems.DOI
  228. Fei Xie, Xindong Wu, Xuegang Hu, Jun Gao, Dan Guo, Yulian Fei, Ertian Hua (2013). MAIL: mining sequential patterns with wildcards. International Journal of Data Mining and Bioinformatics.DOI
  229. Jing Wang, Zhong‐Qiu Zhao, Xuegang Hu, Yiu‐ming Cheung, Haibo Hu, Fangqing Gu (2013). Online Learning towards Big Data Analysis in Health Informatics. Lecture notes in computer science.DOI
  230. Ying Liu, Gongqing Wu, Xuegang Hu (2013). A web table extraction algorithm based on tree edit distance. IEEE Conference Anthology.DOI
  231. Xuegang Hu (2013). The study on the technology of internet public opinion analysis. Journal of Shandong University of Technology.
  232. Xuegang Hu (2013). Algorithms for approximate pattern matching with wildcards and length constraints. Journal of Computer Applications.
  233. Jing Wang, Gongqing Wu, Xuegang Hu (2013). An ontology-based dimensionality reduction algorithm for biomedical literature classification. IEEE Conference Anthology.DOI
  234. 桂林，张玉红，胡学钢（2012）. 一种基于混合集成方法的数据流概念漂移检测方法. 《计算机科学》.
  235. 侯宝剑，谢飞，胡学钢，刘应玲，王海平（2012）. 基于后缀树的带有通配符的模式匹配研究. 《计算机科学》.
  236. 吴信东，叶明全，胡东辉，吴共庆，胡学钢，王浩（2012）. 普适医疗信息管理与服务的关键技术与挑战. 《计算机学报》.
  237. 王海平，胡学钢，谢飞，郭丹，吴信东（2012）. 模式特征对带有通配符和长度约束的模式匹配问题的影响. 《模式识别与人工智能》.
  238. 房爱东，胡学钢，盛庄（2012）. 纸币序列号的快速识别方法研究. 《计算机工程》.
  239. 张靖，胡学钢，张玉红，施万锋（2012）. K-split Lasso:有效的肿瘤特征基因选择方法. 《计算机科学与探索》.
  240. Dan Guo, Xuegang Hu, Fei Xie, Xindong Wu (2012). Pattern matching with wildcards and gap-length constraints based on a centrality-degree graph. Applied Intelligence.DOI
  241. Huaining Sun, Xuegang Hu (2012). An improved learning algorithm of decision tree based on entropy uncertainty deviation. IEEE International Conference on Communication Technology (ICCT).DOI
  242. Jing Zhang, Gongqing Wu, Xuegang Hu, Xindong Wu (2012). A Distributed Cache for Hadoop Distributed File System in Real-Time Cloud Services.DOI
  243. Jing Wang, Gongqing Wu, Bin Zhang, Xuegang Hu (2012). A Heuristic Algorithm for Scheduling on Grid Computing Environment. ChinaGrid Annual Conference.DOI
  244. Kongbing Hu, Yuhong Zhang, Xuegang Hu (2012). A Multi-domain Adaptation for sentiment classification algorithm based on Class Distribution. IEEE International Conference on Granular Computing (GrC).DOI
  245. Yingling Liu, Xindong Wu, Xuegang Hu, Jun Gao, Chi Wang (2012). Pattern matching with wildcards based on multiple suffix trees. IEEE International Conference on Granular Computing (GrC).DOI
  246. Xindong Wu, Peipei Li, Xuegang Hu (2012). Learning from concept drifting data streams with unlabeled data. Neurocomputing.DOI
  247. Peipei Li, Xindong Wu, Xuegang Hu (2012). Mining Recurring Concept Drifts with Limited Labeled Streaming Data. ACM Transactions on Intelligent Systems and Technology.DOI
  248. Juan Zhang, Xuegang Hu, Yuhong Zhang, Peipei Li (2012). An Efficient Ensemble Method for Classifying Skewed Data Streams. Lecture notes in computer science.DOI
  249. Quan Zhou, Yuhong Zhang, Xuegang Hu (2012). An Ensemble Method Based on Confidence Probability for Multi-domain Sentiment Classification. Lecture notes in computer science.DOI
  250. Hongmei Lu, Xuegang Hu, Baosheng Yang (2012). A Knowledge Roughness Based Approach to Hybrid Decision Tree Construction. Procedia Engineering.DOI
  251. Xuegang Hu (2012). Research on Decision Tree Algorithm Based on Rough Set. Journal of Anqing Teachers College.
  252. Xuegang Hu (2012). Data Stream Concept Drift Detection Method Based on Mixture Ensemble Method.
  253. 张铭，耿国华，陈卫卫，胡学钢（2011）. 数据结构与算法课程教学实施方案. 《中国大学教学》, No. 3.下载原文
  254. 朱群，张玉红，胡学钢，李培培（2011）. 一种基于双层窗口的概念漂移数据流分类算法. 《自动化学报》.
  255. 张斌，张晶，史丽君，胡学钢（2011）. 正相关性指导下的关联规则剪枝算法. 《计算机工程》.
  256. 胡春玲，胡学钢，姚宏亮（2011）. 改进的基于邻接树的贝叶斯网络推理算法. 《模式识别与人工智能》.
  257. 施万锋，胡学钢，俞奎（2011）. 一种面向高维数据的迭代式Lasso特征选择方法. 《计算机应用研究》.
  258. 胡春玲，吴信东，胡学钢，姚宏亮（2011）. 基于贝叶斯网络的频繁模式兴趣度计算及剪枝. 《软件学报》.
  259. 左翔，刘方，胡学钢（2011）. 医学数据挖掘的探究与应用. 《中国农村卫生事业管理》.
  260. Chunling Hu, Xindong Wu, Xuegang Hu, Hongliang Yao (2011). Computing and Pruning Method for Frequent Pattern Interestingness Based on Bayesian Networks. Journal of Software.DOI
  261. Jing Zhang, Gongqing Wu, Xuegang Hu, Shiying Li, Shuilong Hao (2011). A Parallel K-Means Clustering Algorithm with MPI. International Symposium on Parallel Architectures, Algorithms and Programming.DOI
  262. Jing Zhang, Xuegang Hu, Bin Zhang (2011). An evaluation approach for the program of association rules algorithm based on metamorphic relations. Journal of Electronics (China).DOI
  263. Jiajia Feng, Fei Xie, Xuegang Hu, Peipei Li, Jie Cao, Xindong Wu (2011). Keyword extraction based on sequential pattern mining. International Conference on Internet Multimedia Computing and Service.DOI
  264. Shiying Li, Gongqing Wu, Xuegang Hu (2011). Hierarchical user interest modeling for Chinese web pages. International Conference on Internet Multimedia Computing and Service.DOI
  265. Dan Guo, Xiao-Li Hong, Xuegang Hu, Jun Gao, Ying-Ling Liu, Gongqing Wu, Xindong Wu (2011). A BIT-PARALLEL ALGORITHM FOR SEQUENTIAL PATTERN MATCHING WITH WILDCARDS. Cybernetics & Systems.DOI
  266. Haiguang Li, Gongqing Wu, Xuegang Hu, Jing Zhang, Lian Li, Xindong Wu (2011). K-Means Clustering with Bagging and MapReduce. Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences.DOI
  267. Xuegang Hu (2011). Improved cluster validity index for fuzzy clustering. Computer Engineering and Applications Journal.
  268. Xuegang Hu (2011). Research of ID3 algorithm in decision tree. Journal of Anhui University.
  269. Peipei Li, Xindong Wu, Qianhui Althea Liang, Xuegang Hu, Yuhong Zhang (2011). Random Ensemble Decision Trees for Learning Concept-Drifting Data Streams. Lecture notes in computer science.DOI
  270. Xuegang Hu (2011). Classification model based on mutual information. Journal of Computer Applications.
  271. Xuegang Hu (2011). A Improved Algorithm for Discretization of Continuously-valued Attribute in Decision Tree based on Clustering. Microcomputer Information.
  272. Xuegang Hu (2011). Association Rule Pruning Algorithm Guided by Positive Correlation. Jisuanji gongcheng.
  273. Xuegang Hu (2011). A data stream classifier based on UFFT. Journal of Hefei University of Technology.
  274. Xuegang Hu (2011). Elimination algorithm of redundant rules in association rules mining based on domain knowledge. Journal of Hefei University of Technology.
  275. 陈涛，胡学钢，陈秀美（2010）. 基于数据挖掘的教学质量评价体系分析. 《全国第21届计算机技术与应用学术会议（CACIS·2010）暨全国第2届安全关键技术与应用学术会议论文集》.
  276. 吴海峰，程玉胜，胡学钢（2010）. 基于数据挖掘技术的高校成绩预警模型设计. Proceedings of 2010 Third International Conference on Education Technology and Training(Volume 5).
  277. 李燕，张玉红，胡学钢（2010）. 基于C4.5和NB混合模型的数据流分类算法. 《计算机科学》.
  278. 史金成，胡学钢（2010）. 基于数据流的概念聚类. 《计算机工程》.
  279. 钟晓旭，胡学钢（2010）. 基于数据挖掘的Web招聘信息相关性分析. 《安徽建筑大学学报》.
  280. 胡学钢，李星华，谢飞，吴信东（2010）. 基于词汇链的中文新闻网页关键词抽取方法. 《模式识别与人工智能》.
  281. Peipei Li, Xindong Wu, Xuegang Hu (2010). Mining Recurring Concept Drifts with Limited Labeled Streaming Data. Asian Conference on Machine Learning.
  282. Yongyong Zhai, Yanxiang Chen, Xuegang Hu, Peipei Li, Xindong Wu (2010). Extracting Opinion Features in Sentiment Patterns.DOI
  283. Fei Xie, Xindong Wu, Xuegang Hu, Jun Gao, Dan Guo, Yulian Fei, Ertian Hua (2010). Sequential Pattern Mining with Wildcards. Proceedings - International Conference on Tools with Artificial Intelligence, TAI.DOI
  284. Mingquan Ye, Xuegang Hu, Changrong Wu (2010). Privacy Preserving Attribute Reduction for Vertically Partitioned Data.DOI
  285. Peipei Li, Xindong Wu, Xuegang Hu, Qianhui Althea Liang, Yunjun Gao (2010). A RANDOM DECISION TREE ENSEMBLE FOR MINING CONCEPT DRIFTS FROM NOISY DATA STREAMS. Applied Artificial Intelligence.DOI
  286. Qun Zhu, Xuegang Hu, Yuhong Zhang, Peipei Li, Xindong Wu (2010). A Double-Window-Based Classification Algorithm for Concept Drifting Data Streams. IEEE International Conference on Granular Computing (GrC).DOI
  287. Haiping Wang, Fei Xie, Xuegang Hu, Peipei Li, Xindong Wu (2010). Pattern Matching with Flexible Wildcards and Recurring Characters. IEEE International Conference on Granular Computing (GrC).DOI
  288. Jiaying He, Peipei Li, Xuegang Hu, Xindong Wu (2010). A New Automatic Categorization Algorithm for Web Services. IEEE International Conference on Granular Computing (GrC).DOI
  289. Yuhong Zhang, Xuegang Hu, Mei Canhua, Peipei Li (2010). A weighted algorithm of inductive transfer learning based on maximum entropy model. International Conference on Fuzzy Systems and Knowledge Discovery (FSKD).DOI
  290. Yan Li, Yuhong Zhang, Xuegang Hu, Peipei Li (2010). A classification algorithm for noisy data streams. International Conference on Fuzzy Systems and Knowledge Discovery (FSKD).DOI
  291. Peipei Li, Xindong Wu, Xuegang Hu (2010). Learning from Concept Drifting Data Streams with Unlabeled Data. Proceedings of the AAAI Conference on Artificial Intelligence.DOI
  292. Jing Zhang, Gongqing Wu, Haiguang Li, Xuegang Hu, Xindong Wu (2010). A 2-Tier Clustering Algorithm with Map-Reduce. ChinaGrid Annual Conference.DOI
  293. Fei Xie, Xindong Wu, Xuegang Hu (2010). Keyphrase extraction based on semantic relatedness. IEEE International Conference on Cognitive Informatics.DOI
  294. Xindong Wu, Gongqing Wu, Fei Xie, Zhu Zhu, Xuegang Hu (2010). News Filtering and Summarization on the Web. IEEE Intelligent Systems.DOI
  295. Yuhong Zhang, Xuegang Hu, Yucheng Fang (2010). Logistic Regression for Transductive Transfer Learning from Multiple Sources. Lecture notes in computer science.DOI
  296. Xuegang Hu (2010). Efficient mixed clustering algorithm and its application in anomaly detection. Journal of Computer Applications.
  297. Xuegang Hu (2010). Conceptual Clustering Based on Data Streams. Jisuanji gongcheng.
  298. Donghui Hu, Juan Zhang, Xuegang Hu, Lian Y. Wang, Wenjie Miao, Zhengfeng Hou (2010). Text's Source Trustworthiness Detection Based on Cognitive Hash. International Conference on Multimedia Information Networking and Security.DOI
  299. Xuegang Hu (2010). Spam Filtering Method Based on Learning from Small Samples. Jisuanji gongcheng.
  300. Xuegang Hu (2010). Classification Algorithm for Data Stream Based on Mixture Models of C4.5 and NB.
  301. Xuegang Hu (2010). Based on the Applied Research of SQL Server 2005 Decision Tree Mining Algorithm in the Enrollment Decisions of Anhui Higher Vocational Colleges. Computer Knowledge and Technology.
  302. Xuegang Hu (2010). Research on a feature selection method FS-IV. Journal of Hefei University of Technology.
  303. 王志英，蒋宗礼，杨波，胡学钢，岳丽华（2009）. 计算机科学与技术专业实践教学体系与规范研究. 《中国大学教学》, No. 2.下载原文
  304. 方元康，胡学钢，夏启寿（2009）. Web日志预处理中优化的会话识别方法. 《计算机工程》.
  305. 刘小华，胡学钢（2009）. 数据挖掘的应用综述. 《信息技术》.
  306. 胡春玲，胡学钢（2009）. 一种基于随机抽样的贝叶斯网络结构学习算法. 《计算机科学》.
  307. 台德艺，谢飞，胡学钢（2009）. 新的基于簇划分文本分类方法. 《计算机工程与设计》.
  308. 方元康，胡学钢，夏启寿，朱勇（2009）. 基于框架网页与页面阈值的会话识别算法. 《计算机应用与软件》.
  309. 胡学钢，薛峰，张玉红，张晶（2009）. 基于概念格的决策表属性约简方法. 《模式识别与人工智能》.
  310. 王华，胡学钢（2009）. 医学数据挖掘中的数据预处理与Apriori算法改进. 《计算机系统应用》.
  311. 程玉胜，张佑生，胡学钢，章晓良（2009）. 基于任意分割的串行进位链规则获取的计算流程. 《电子学报》.
  312. Xuegang Hu (2009). Research on the Medical Classification Based on Apriori Algorithm. Jisuanji fangzhen.
  313. Xuegang Hu (2009). Stochastic Sample Based Algorithm for Learning Bayesian Networks.
  314. Xuegang Hu (2009). New text categorization method based on cluster partitioning. Jisuanji gongcheng yu sheji.
  315. Xuegang Hu (2009). Research on the algorithms for mining association rules in the master-slave relationship database. Journal of Hefei University of Technology.
  316. Xuegang Hu (2009). Research on market data extraction and forecast on Web. Computer Engineering and Applications Journal.
  317. Hong Li, Xuegang Hu (2009). Efficient Mining of Strong Negative Association Rules in Multi-Database.DOI
  318. Hong Li, Yijun Shen, Xuegang Hu (2009). A novel mining Method of Global Negative Association Rules in Multi-Database.DOI
  319. Gongqing Wu, Haiguang Li, Xuegang Hu, Yuanjun Bi, Jing Zhang, Xindong Wu (2009). MReC4.5: C4.5 Ensemble Classification with MapReduce. ChinaGrid Annual Conference.DOI
  320. Hai-Guang Li, Gongqing Wu, Xuegang Hu, Xindong Wu, Yuanjun Bi, Peipei Li (2009). A relation extraction method of Chinese named entities based on location and semantic features. IEEE International Conference on Granular Computing (GrC).DOI
  321. Hong Li, Xuegang Hu, Yanming Zhang (2009). An Improved Database Classification Algorithm for Multi-database Mining. Lecture notes in computer science.DOI
  322. Peipei Li, Xuegang Hu, Qianhui Althea Liang, Yunjun Gao (2009). Concept Drifting Detection on Noisy Streaming Data in Random Ensemble Decision Trees. Lecture notes in computer science.DOI
  323. Yong‐Ming Huang, Xindong Wu, Xuegang Hu, Fei Xie, Jun Gao, Gongqing Wu (2009). Mining Frequent Patterns with Gaps and One-Off Condition.DOI
  324. Gongqing Wu, Xindong Wu, Xuegang Hu, Hai-Guang Li, Ying Liu, Ren-Gan Xu (2009). Web News Extraction Based on Path Pattern Mining. International Conference on Fuzzy Systems and Knowledge Discovery (FSKD).DOI
  325. Peipei Li, Qianhui Althea Liang, Xindong Wu, Xuegang Hu (2009). Parameter Estimation in Semi-Random Decision Tree Ensembling on Streaming Data. Lecture notes in computer science.DOI
  326. Xiao-Li Hong, Xindong Wu, Xuegang Hu, Ying-Ling Liu, Jun Gao, Gongqing Wu (2009). BPBM: An Algorithm for String Matching with Wildcards and Length Constraints. Lecture notes in computer science.DOI
  327. Xuegang Hu (2009). Distributed algorithm for constructing concept lattice based on index. Journal of Computer Applications.
  328. 程玉胜，张佑生，胡学钢（2008）. 两类决策系统中规则获取的联合决策矩阵算法. 《系统工程理论与实践》, Vol. 28, No. 6.下载原文
  329. 王华，江启成，胡学钢（2008）. 数据挖掘在医学上的应用. 《安徽医药》.
  330. 王翔，胡学钢（2008）. 基于快速属性选择的贝叶斯分类在入侵检测中的应用. 《计算机科学》.
  331. 田卫东，周创德，胡学钢，周红鹃，李培培（2008）. 基于简化分辨矩阵的粗糙集属性约简算法. 《计算机科学》.
  332. 王浩，胡学钢（2008）. 基于长度约束区分矩阵的约简算法研究. 《计算机工程与应用》.
  333. 李森，胡学钢，李正吉（2008）. Web数据挖掘研究综述. 《山东纺织经济》.
  334. Xinghua Li, Xindong Wu, Xuegang Hu, Fei Xie, Zhaozhong Jiang (2008). Keyword Extraction Based on Lexical Chains and Word Co-occurrence for Chinese News Web Pages. IEEE ... International Conference on Data Mining workshops.DOI
  335. Peipei Li, Xuegang Hu, Xindong Wu (2008). Mining Concept-Drifting Data Streams with Multiple Semi-Random Decision Trees. Lecture notes in computer science.DOI
  336. Guoyin Wang, Qinghua Zhang, Houkuan Huang, Dongyi Ye, Qinghua Hu, Xuegang Hu, Zhongzhi Shi, Yongli Li, Lin Shang, Liping An, Ying Sai, Shanben Chen, Jiye Liang, Keyun Qin, Huanglin Zeng, Keming Xie, Duoqian Miao, Fan Min, Zhaocong Wu, Wei-Zhi Wu, Jianhua Dai (2008). Research on Rough Set Theory and Applications in China. Transactions on rough sets.DOI
  337. Jing Zhang, Xuegang Hu (2008). The research on application of granular transform in classification based on domain knowledge. IEEE International Conference on Granular Computing (GrC).DOI
  338. Yusheng Cheng, Yousheng Zhang, Xuegang Hu (2008). Joint Decision Matrix Computation for Rules Extraction in Two-Classes Decision Information System. Systems Engineering - Theory & Practice.DOI
  339. Fei Xie, Xindong Wu, Xuegang Hu, Fei–Yue Wang (2008). Keyphrase Extraction from Chinese News Web Pages Based on Semantic Relations. Lecture notes in computer science.DOI
  340. Xuegang Hu (2008). Text categorization based on position weight of feature term. Journal of Anhui Technical College of Water Resources and Hydroelectric Power.
  341. Xuegang Hu (2008). Heuristic Algorithm for Reduction Based on Attribute Significance. Journal of Henan Normal University.
  342. Zhu Zhu, Gongqing Wu, Xindong Wu, Xuegang Hu, Fei–Yue Wang (2008). Automatic Recognition of News Web Pages. Lecture notes in computer science.DOI
  343. Xuegang Hu (2008). Research of speech emotion recognition based on acoustic features and ann. Computer Engineering and Applications Journal.
  344. Xuegang Hu (2008). Feature reduction based on boundary conditional entropy and its application in qualitative simulation.
  345. Xuegang Hu (2008). A Parallel Algorithm for Mining Frequent Itemsets Based on SMP. Journal of Guangxi Normal University.
  346. Xuegang Hu (2008). Joint decision matrix computation for rules extraction in two classes of decision systems. Systems Engineering - Theory & Practice.
  347. Xuegang Hu (2008). The Research of Mining Sequential Patterns Based on Certainty.
  348. Xuegang Hu (2008). A spam filtering method based on active Bayesian classification technology. Journal of Hefei University of Technology.
  349. Xuegang Hu (2008). On Teaching and Practice of ACM/ICPC. Journal of Hefei University of Technology.
  350. Xuegang Hu (2008). Effective parallel algorithm for mining frequent itemsets. Jisuanji yingyong yanjiu.
  351. Xuegang Hu (2008). Fast Matrix Computation Algorithm for Rules Extraction in Incomplete Decision Systems. Jisuanji fangzhen.
  352. 李艳，刘信杰，胡学钢（2007）. 数据挖掘中朴素贝叶斯分类器的应用. 《潍坊学院学报》.
  353. 张震，胡学钢，张亚萍（2007）. 数据挖掘在高校课堂教学质量评价体系中的应用. 《电脑开发与应用》.
  354. 邵堃，刘宗田，胡学钢，李心科（2007）. AML:一种面向需求的多Agent建模语言. 《模式识别与人工智能》.
  355. 王德兴，胡学钢，刘晓平，黄冬梅（2007）. 基于量化扩展概念格的属性归纳算法. 《模式识别与人工智能》.
  356. 汪采萍，胡学钢，王会颖（2007）. 基于蚁群算法的多维0-1背包问题的研究. 《计算机工程与应用》.
  357. Xuegang Hu, Peipei Li, Xindong Wu, Gongqing Wu (2007). A Semi-Random Multiple Decision-Tree Algorithm for Mining Data Streams. Journal of Computer Science and Technology.DOI
  358. Xuegang Hu, Dongbo Wang, Xindong Wu (2007). Varying Density Spatial Clustering Based on a Hierarchical Tree. Lecture notes in computer science.DOI
  359. Yusheng Cheng, Yousheng Zhang, Xuegang Hu, Xiaoyao Jiang (2007). Qualitative Simulation and Reasoning with Feature Reduction Based on Boundary Conditional Entropy of Knowledge. Springer eBooks.DOI
  360. Xuegang Hu, Wei Xiang, Dexing Wang, Peipei Li (2007). A Parallel Algorithm to Construct Concept Lattice. International Conference on Fuzzy Systems and Knowledge Discovery (FSKD).DOI
  361. Xuegang Hu, Junhua Shi, Xindong Wu (2007). A New Algorithm for Attribute Reduction in Decision Tables. Lecture notes in computer science.DOI
  362. Yusheng Cheng, You-Sheng Zhang, Xuegang Hu, Zhang You-zhi (2007). Uncertainty Measure of Knowledge and Rough Set Based on Maximal Consistent Block Technique. International Conference on Machine Learning and Cybernetics.DOI
  363. Xuegang Hu (2007). The Model of Decision Tree Based on Genetic Algorithm. Computer Technology and Development.
  364. Xuegang Hu (2007). PROJECT ABOUTt OPTIMIZED THE NUMBER OF CLUSTERS IN K-MEANS CLUSTERING. Journal of Chaohu College.
  365. Xuegang Hu, Wei Liu, Dexing Wang, Xindong Wu (2007). Mining Frequent Itemsets Using a Pruned Concept Lattice. International Conference on Fuzzy Systems and Knowledge Discovery (FSKD).DOI
  366. Xuegang Hu (2007). The Token of Gray Region Approach for Approximate Reduction Based on Rough Set Theory Model. Journal of Chongqing University. English Edition.
  367. Xuegang Hu (2007). Text Categorization Based on Multiple Features Selection. Computer Technology and Development.
  368. Xuegang Hu (2007). Improved C4.5 Rules Algorithm Based on Impact-Measurement of Suspected Instances. Journal of Guangxi Normal University.
  369. Xuegang Hu (2007). An Improved Algorithm for Mining Sequential Pattern Based on Bitmap. Computer Technology and Development.
  370. Xuegang Hu (2007). Distributed Concept Lattice Based on Mining Sequential Patterns. Journal of Hefei University.
  371. Xuegang Hu (2007). Research of Naive Bayesian Classification Based on K-means Method. Computer Technology and Development.
  372. 胡学钢，于海涛（2006）. 均匀设计在数据挖掘中的应用. 《合肥工业大学学报(自然科学版)》.
  373. 欧阳一鸣，周强，胡学钢，江擒虎（2006）. 数据挖掘中动态改变样本域提高预测精度. 《合肥工业大学学报(自然科学版)》.
  374. 胡学钢，胡春玲（2006）. 一种基于依赖分析的贝叶斯网络结构学习算法. 《模式识别与人工智能》.
  375. 姜晚云，胡学钢（2006）. 浅析数据库知识发现与数据挖掘. 《滁州学院学报》.
  376. 王华，胡学钢（2006）. 基于关联规则的数据挖掘在临床上的应用. 《安徽大学学报(自然科学版)》.
  377. 李建国，胡学钢，韩玲（2006）. 基于数据挖掘技术的混合入侵检测模型研究. 《电脑知识与技术》.
  378. Xuegang Hu, Haitao Yu (2006). The Research of Sampling for Mining Frequent Itemsets. Lecture notes in computer science.DOI
  379. Yusheng Cheng, Yousheng Zhang, Xuegang Hu (2006). The Relationships Between Variable Precision Value and Knowledge Reduction Based on Variable Precision Rough Sets Model. Lecture notes in computer science.DOI
  380. Xuegang Hu (2006). The Research on Association Rule Mining Based on Quantitative Concept Lattice for Template Optimization. Journal of Engineering Graphics.
  381. Xuegang Hu (2006). Resovling Maximal Frequent Itemsets Efficiently Based on Item Increasing Algorithm. Journal of Anhui Science and Technology University.
  382. 叶明全，胡学钢（2005）. 季节性组合预测模型在医院门诊量中的应用研究. 《计算机工程与设计》.
  383. 欧阳一鸣，陈敏，刘红樱，胡学钢（2005）. Web挖掘中发现用户访问模式算法的改进与分析. 《模式识别与人工智能》.
  384. 周强，欧阳一鸣，胡学钢，王浩（2005）. 数据挖掘中应用偏最小二乘法发现异常值. 《微电子学与计算机》.
  385. 胡学钢，王媛媛（2005）. 一种基于约简概念格的关联规则快速求解算法. 《计算机工程与应用》.
  386. Dexing Wang, Xuegang Hu, Xiaoping Liu, Hao Wang, Jun Guo (2005). Research on model of association rules mining with added-newly measure criteria.DOI
  387. Hao Wang, Jing Bing Yang, Xuegang Hu, Baofu Fang (2005). A new classification algorithm based on entropy and relative reduced extended concept lattice.DOI
  388. Yuanyuan Wang, Xuegang Hu (2005). A fast algorithm for mining association rules based on concept lattice.DOI
  389. Xuegang Hu, Dexing Wang, Xiaoping Liu, Jun Hai Guo, Hao Wang (2005). The analysis on model of association rules mining based on concept lattice and Apriori algorithm.DOI
  390. Hongliang Yao, Hao Wang, Yousheng Zhang, Xuegang Hu, Baofu Fang (2005). Simplifying computation of dynamic influence diagrams.DOI
  391. Xidong Wang, Yiming Ouyang, Xuegang Hu, Yan Zhang (2005). Discovery of user frequent access patterns on Web usage mining. International Conference on Computer Supported Cooperative Work in Design (CSCWD).DOI
  392. Benzhu Xu, Xuegang Hu, Hao Wang (2005). A general rough set model based on tolerance. International Conference on Computer Supported Cooperative Work in Design (CSCWD).DOI
  393. Yuhong Zhang, Xuegang Hu (2005). The inducing of classification rules based on parallel ECL. International Conference on Computer Supported Cooperative Work in Design (CSCWD).DOI
  394. Dexing Wang, Xuegang Hu, Xiaoping Liu, Hao Wang (2005). Association rules mining on concept lattice using domain knowledge. International Conference on Machine Learning and Cybernetics.DOI
  395. Xuegang Hu, Xianguo Hu, Dexing Wang, Dongyan Zhang, Chunling Hu (2005). A classification algorithm based on multi-relation domain knowledge. International Conference on Machine Learning and Cybernetics.DOI
  396. Xuegang Hu, Hui Chen, Feng Ma (2005). The mining of classification rules based on multiple extended concept lattices. International Conference on Machine Learning and Cybernetics.DOI
  397. Xuegang Hu, Yuhong Zhang, Xinya Wang (2005). The Representation and Resolution of Rough Sets Based on the Extended Concept Lattice. Lecture notes in computer science.DOI
  398. Yusheng Cheng, Yousheng Zhang, Xuegang Hu (2005). An approach for construction of a satisfactory minimal description rules and parallel testing model. International Conference on Machine Learning and Cybernetics.DOI
  399. Haitao Yu, Xuegang Hu (2005). A classification method based on the nominal attributes quantization. International Conference on Machine Learning and Cybernetics.DOI
  400. Xuegang Hu (2005). Application research of seasonal combined forecasting model in hospital outpatient amount. Jisuanji gongcheng yu sheji.
  401. 刘伟，胡学钢（2004）. 数据挖掘技术在海洋油气化探数据处理中的应用. 《全国第16届计算机科学与技术应用（CACIS）学术会议论文集》.
  402. 程玉胜，胡学钢（2004）. 基于信息Granule属性约简的求解. 《计算机工程与设计》.
  403. Jing Bing Yang, Hao Wang, Xuegang Hu, Zhonghui Hu (2004). A new classification algorithm based on rough set and entropy. International Conference on Machine Learning and Cybernetics.DOI
  404. Yu-Bao Ma, Xuegang Hu, Hao Wang (2004). The research that mining association rules are based on FEQCL reduced by uncertainty coefficient approach. International Conference on Machine Learning and Cybernetics.DOI
  405. Xuegang Hu (2004). Research on Ontology and Ontology Library Systems of Semantic Web. Microcomputer Development.
  406. 杨宝华，钱远军，胡学钢（2003）. 基于粗糙集(Rough Set)理论的数据挖掘(KDD)过程及其实现. 《农业网络信息》.
  407. Dexing Wang, Xuegang Hu, Hao Wang (2003). The research on model of mining association rules based on quantitative extended concept lattice. International Conference on Machine Learning and Cybernetics.DOI
  408. Xuegang Hu (2003). CL-based Mining Sequential Patterns. Jisuanji gongcheng.
  409. 朱琳玲，胡学钢，穆斌（2002）. 基于Web的数据挖掘研究综述. 《电脑与信息技术》.
  410. 朱先琦，胡学钢（2002）. 基于模糊理论的铸件质量管理中的数据挖掘. 《安徽工程大学学报》.
  411. 胡学钢，郭骏，王浩，袁兆山（2001）. 基于粗集与基于格结构的知识发现方法比较. 《全国第十四届计算机科学及其在仪器仪表中的应用学术交流会论文集》.
  412. 王志海，胡可云，胡学钢，刘宗田，张奠成（1999）. 概念格上规则提取的一般算法与渐进式算法. 《计算机学报》.
  413. 胡学钢（1999）. 一种适用于大规模数据库知识发现的数值属性离散化方法. 《面向21世纪的科技进步与社会经济发展（上册）》.
  414. 王志海，胡可云，胡学钢，徐本柱，刘宗田，张奠成（1998）. 基于粗糙集合理论的知识发现综述. 《模式识别与人工智能》.

预印本

  1. Yang Li, Lei Wang, Zhu-Hong You, Peipei Li, Xuegang Hu (2026). HSimGCDA: A Novel Higher-Order Similarity Graph Representation Learning Method for Identifying CircRNA-Disease Associations. SSRN Electronic Journal.DOI
  2. Haoyang Liu, Xuegang Hu, Shengxing Bai, Yaojin Lin (2024). Hierarchical Multi-Granular Decision Networks for Hierarchical Classification. SSRN Electronic Journal.DOI
  3. Yuhong Zhang, Chenyang Si, Chenyang Bu, Le Wu, Xuegang Hu (2023). Adaptive Cognitive Diagnosis Under Distribution Shift with a Double-Level Adversarial Framework. SSRN Electronic Journal.DOI
  4. Jing, Wang, Zhong-Qiu, Zhao, Xuegang Hu, Yiu‐ming Cheung, Meng Wang, Xindong Wu (2014). Online Group Feature Selection. arXiv (Cornell University).DOI

书籍章节

  1. Haifeng Wu, Cheng Yu-sheng, Xuegang Hu (2012). Model Design of Achievement Pre-warning in High Education Based on Data Mining. Advances in intelligent and soft computing.DOI

研究方向

计算机软件及计算机应用自动化技术图书情报与数字图书馆

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