Xuan Feng, Min Feng, Ning Zhang, Tianlong Gu, Liang Chang, Chenzhong Bin (2026). A hierarchical evaluation framework for security and trustworthiness in Large Vision-Language Models. Pattern Recognition.DOI
Tianlong Gu, Hao Li, Xuan Feng, Yiqin Luo (2026). AMGSN: Adaptive mask-guide supervised network for debiased facial expression recognition. Pattern Recognition.DOI
Tianlong Gu, Chuqiao Zhou, Xuan Feng, Xuemin Wang (2026). Bridging the Granularity Gap: Semantic-Aware Adversarial Training for Chinese Language Models. IEEE Transactions on Dependable and Secure Computing.DOI
Xuan Feng, Yuan Yao, Tianlong Gu, Liang Chang, Xiaoli Liu (2026). Mitigating Implicit Bias in Chinese Toxic Speech Detection via Unbiased Contrastive Learning. ACM Trans. Asian Low Resour. Lang. Inf. Process..DOI
Xuan Feng, Guihong Liu, Tianlong Gu, Shuai Zhao, Xuemin Wang, Chenzhong Bin, Yang Liu, Bo An (2026). Where Detectors Fail: Closing the Tail-Domain Gap with Expert-Guided Mutual Distillation. arXiv.org.DOI
Xiyan Xu, Jinjie Lu, Tianlong Gu, Xiaoli Liu, Feng-Rui Hao (2026). On the correlations between geometric metrics and fairness in pruning CNN. Pattern Recognition.DOI
Xuan Feng, Shuai Zhao, Lu-Wei Xiao, Tianlong Gu, Bo An (2026). Self-Debias: Self-correcting for Debiasing Large Language Models. arXiv.org.DOI
Tongxin Xu, Chenzhong Bin, Cihan Xiao, Zhixin Zeng, Tianlong Gu (2026). DISC: Disentangling Spurious Correlations for Multibehavior Recommendation. IEEE Transactions on Computational Social Systems.DOI
Feng-Rui Hao, Tianlong Gu, Jionghui Jiang, Liang Chang, Fan Zhang, Chenzhong Bin (2026). Stealthy backdoor attack method targeting group fairness in self-supervised learning. Pattern Recognition.DOI
Songfu Xiong, Xu-Guang Bao, Liang Chang, Tianlong Gu (2026). MELT-Rec: A Meta-learning-Based System for Tourism Recommendation. International Conference on Database Systems for Advanced Applications.DOI
Xu-Guang Bao, Shuai-Kang Yuan, Yongming Huang, Liang Chang, Tianlong Gu (2026). Efficient pruning strategies for mining high utility co-location patterns with negative utility features. Data mining and knowledge discovery.DOI
Tianlong Gu, Gaojun Qing, Feng-Rui Hao, Liang Chang (2026). Exacerbating Differences in Polarity: Bias Adversarial Attack on Generative Large Language Models. IEEE Transactions on Audio, Speech, and Language Processing.DOI
Yangqi Liu, Xuemin Wang, Chuangying Zhu, Liang Chang, Tianlong Gu (2026). FairHGNN: toward label-aware fairness in Heterogeneous Graph Neural Networks. Knowledge and Information Systems.DOI
Chun-Hui Zhang, Li-Zhong Ding, Peng-Qi Li, Jiarun Fu, Peng Yang, Yanyu Ren, Tianlong Gu, Liang Chang, Ye Yuan, Guo-Ren Wang (2026). Formulating and Unveiling In-Context Learning over Graph Tasks. Information Fusion.DOI
Tianlong Gu, Min Feng, Xuan Feng, Xuemin Wang (2025). SCARE: A Novel Framework to Enhance Chinese Harmful Memes Detection. IEEE Transactions on Affective Computing.DOI
Xuan Feng, Bo An, Tianlong Gu, Liang Chang, Feng-Rui Hao, Peipeng Yu, Shuai Zhao (2025). C2PO: Diagnosing and Disentangling Bias Shortcuts in LLMs. Annual Meeting of the Association for Computational Linguistics.DOI
Feng-Rui Hao, Shiyi Zhao, Tianlong Gu, Xuemin Wang, Xiaoli Liu, Yuan-Feng Liu (2025). FairDP-GNN: Graph Neural Network with Group Fairness and Differential Privacy. International Conference on Database Systems for Advanced Applications.DOI
Tongxin Xu, Chenzhong Bin, Cihan Xiao, Yun-Hui Li, Tianlong Gu (2025). Multi-Behavior Intent Disentanglement for Recommendation via Information Bottleneck Principle. International Conference on Information and Knowledge Management.DOI
Tongxin Xu, Wenqiang Liu, Chenzhong Bin, Cihan Xiao, Zhixin Zeng, Tianlong Gu (2025). Improving Recommendation Fairness via Graph Structure and Representation Augmentation. International Conference on Information and Knowledge Management.DOI
Shuai-Kang Yuan, Xu-Guang Bao, Liang Chang, Tianlong Gu (2025). APES: Interactive Pattern Mining System Based on Cross-Entropy Probability Modeling. APWeb-WAIM.DOI
Shuai-Kang Yuan, Yongming Huang, Xu-Guang Bao, Liang Chang, Tianlong Gu (2025). Efficient High Utility Co-Location Pattern Mining Under Positive and Negative Utility Constraints. APWeb-WAIM.DOI
Yiqin Luo, Tianlong Gu, Feng-Rui Hao, Liang Chang (2025). BID-Net: Balanced Incremental Distillation Network for Fair Dermatological Disease Diagnosis. IEEE International Conference on Acoustics, Speech, and Signal Processing.DOI
Tianlong Gu, Taihang Zhi, Xuguang Bao, Liang Chang (2024). Credible Negotiation for Multi-agent Reinforcement Learning in Long-term Coordination. ACM Transactions on Autonomous and Adaptive Systems.DOI
Xuan Feng, Tianlong Gu, Xiaoli Liu, Liang Chang (2024). Learning from Mistakes: Self-correct Adversarial Training for Chinese Unnatural Text Correction. AAAI Conference on Artificial Intelligence.DOI
Qin Liu, Xuan Feng, Tianlong Gu, Xiaoli Liu (2024). FairCRS: Towards User-oriented Fairness in Conversational Recommendation Systems. ACM Conference on Recommender Systems.DOI
Xuemin Wang, Tianlong Gu, Xu-Guang Bao, Liang Chang (2024). Towards Fair Graph Neural Networks via Graph Counterfactual Without Sensitive Attributes. IEEE International Conference on Data Engineering.DOI
Long Wang, Liang Chang, Xu-Guang Bao, Chuangying Zhu, Tianlong Gu (2024). Knowledge-based discovery of multi-level co-location patterns using ontology. Knowledge and Information Systems.DOI
Hao Li, Yiqin Luo, Tianlong Gu, Liang Chang (2024). BFFN: A novel balanced feature fusion network for fair facial expression recognition. Engineering applications of artificial intelligence.DOI
Xuan Feng, Tianlong Gu, Liang Chang, Xiaoli Liu (2024). PROTECT: Parameter-Efficient Tuning for Few-Shot Robust Chinese Text Correction. IEEE/ACM Transactions on Audio Speech and Language Processing.DOI
古天龙,李龙,常亮,李晶晶(2023). 公平联邦学习及其设计研究综述. 《计算机学报》.
刘小丽,古天龙(2023). ChatGPT对计算机教育的影响及对策. 《计算机教育》.
Yuanjing Hao, Long Li, Liang Chang, Tianlong Gu (2023). MLDA: a multi-level k-degree anonymity scheme on directed social network graphs. Frontiers of Computer Science.DOI
Jiayang Li, Xuan Feng, Tianlong Gu, Liang Chang (2023). Dual-Teacher De-Biasing Distillation Framework for Multi-Domain Fake News Detection. IEEE International Conference on Data Engineering.DOI
Miao Li, Xuguang Bao, Liang Chang, Tianlong Gu (2022). Modeling personalized representation for within-basket recommendation based on deep learning. Expert Systems With Applications, Vol. 192.DOI
Tieyuan Liu, Chang Wang, Liang Chang, Tianlong Gu (2022). Predicting High-Risk Students Using Learning Behavior. Mathematics.DOI
Tieyuan Liu, Qiong Wu, Liang Chang, Tianlong Gu (2022). A review of deep learning-based recommender system in e-learning environments. Artificial Intelligence Review.DOI
Li Li, Gary G. Yen, Avimanyu Sahoo, Liang Chang, Tianlong Gu (2021). On the estimation of pareto front and dimensional similarity in many-objective evolutionary algorithm. Information Sciences.DOI
Zongxin Guo, Tieyuan Liu, Liang Chang, Tianlong Gu (2020). Deep matrix factorization based on self-attention mechanism for student grade prediction. Journal of Physics Conference Series.DOI
Xuguang Bao, Jinjie Lu, Liang Chang, Tianlong Gu (2020). A Cluster-Based Approach for Extracting Redundancy-aware Top-k Co-location Patterns. International Conference on Public Health and Data Science (ICPHDS).DOI
Tieyuan Liu, Tianlong Gu, Liang Chang, Hongzhuan Zhao (2020). A New Mobility Model Based on Markov Chain for MANETs. Lecture notes in computer science.DOI
Tian Bingbing, Tianlong Gu, Yan Liu (2019). Research on Consumers' Response to Personalized Recommendation Avoidance in B2C E-business under Filter Bubble Phenomenon. International Conference on E-Business and E-commerce Engineering (EBEE).DOI
Li Li, Liang Chang, Tianlong Gu, Weiguo Sheng, Wanliang Wang (2019). On the Norm of Dominant Difference for Many-Objective Particle Swarm Optimization. IEEE Transactions on Cybernetics.DOI
Xiaonan Luo, Yuan Yuan, Kaiyuan Zhang, Jiazhi Xia, Zhiguang Zhou, Liang Chang, Tianlong Gu (2019). Enhancing statistical charts: toward better data visualization and analysis. Journal of Visualization.DOI
Saige Qin, Guanjun Rao, Chenzhong Bin, Liang Chang, Tianlong Gu, Xuan Wen (2019). Knowledge Graph Embedding Based on Adaptive Negative Sampling. Communications in computer and information science.DOI
Fengying Li, Qi Zhang, Tianlong Gu, Rongsheng Dong (2019). Optimal Representation for Web and Social Network Graphs Based on ${K}^{2}$ -Tree. IEEE Access.DOI
Yuhui Zhang, Yue‐Jiao Gong, Tianlong Gu, Jun Zhang (2018). Ensemble mating selection in evolutionary many-objective search. Applied Soft Computing.DOI
Yiqin Luo, Liang Chang, Guanjun Rao, Wei Chen, Tianlong Gu (2018). Representation Learning for Knowledge Graph with Dynamic Margin. International Symposium on Computational Intelligence and Design.DOI
Tianlong Gu, Minfeng Zhu, Wei Chen, Zhaosong Huang, Ross Maciejewski, Liang Chang (2018). Structuring Mobility Transition With an Adaptive Graph Representation. IEEE Transactions on Computational Social Systems.DOI
Zhiguang Zhou, Zhu X, Yuhua Liu, Qianqian Ren, Changbo Wang, Tianlong Gu (2018). VisUPI: visual analytics for University Personality Inventory data. Journal of Visualization.DOI
Hongzhuan Zhao, Hang Yue, Tianlong Gu, Wenyong Li, Dan Zhou (2018). Traffic Information Propagation Mechanism Using Seamless Connectivity Procedure for VCPS. CICTP 2018.DOI
Rushi Lan, Jinwen He, Shouhua Wang, Tianlong Gu, Xiaonan Luo (2018). Integrated chaotic systems for image encryption. Signal Processing.DOI
Phatpicha Yochum, Liang Chang, Tianlong Gu, Manli Zhu, Weitao Zhang (2018). Tourist Attraction Recommendation Based on Knowledge Graph. IFIP advances in information and communication technology.DOI
Yongfang Li, Liang Chang, Guanjun Rao, Phatpicha Yochum, Yiqin Luo, Tianlong Gu (2018). Representation Learning for Knowledge Graph with Dynamic Step. Communications in computer and information science.DOI
Yuhui Zhang, Yue‐Jiao Gong, Tianlong Gu, Huaqiang Yuan, Wei Zhang, Sam Kwong, Jun Zhang (2017). DECAL: Decomposition-Based Coevolutionary Algorithm for Many-Objective Optimization. IEEE Transactions on Cybernetics.DOI
Yongcheng Wei, Rushi Lan, Tianlong Gu, Huadeng Wang, Xiaonan Luo (2017). Surface Reconstruction of Blood Vessel from 2D Cross-Sections with Recurrence Images. International Conference on Virtual Reality and Visualization.DOI
Zhiqiang Wang, Zhiwen Yu, C. L. Philip Chen, Jane You, Tianlong Gu, Hau-San Wong, Jun Zhang (2017). Clustering by Local Gravitation. IEEE Transactions on Cybernetics.DOI
Liang Chang, Xiangxuan Zeng, Zhoubo Xu, Junyan Qian, Tianlong Gu, Houbing Herbert Song (2017). Optimal Representation of Large-Scale Graph Data Based on K2-Tree. Wireless Personal Communications.DOI
Jinyong Sun, Tianlong Gu, Junyan Qian (2017). A Behavioral Similarity Metric for Semantic Workflows Based on Semantic Task Adjacency Relations With Importance. IEEE Access.DOI
Minling Zhang, Antonio J Tallón-Ballesteros, Junping Du, Tianlong Gu, Guoyong Cai, Yimin Wen, Songcan Chen, Yang Gao, Hujun Yin (2017). Intelligent Data Engineering and Automated Learning – IDEAL 2017. Lecture notes in computer science.DOI
Liang Chang, Ulrike Sattler, Tianlong Gu (2014). Algorithm for Adapting Cases Represented in a Tractable Description Logic. Lecture notes in computer science.DOI
Fei Jiang, Tianlong Gu, Liang Chang, Zhoubo Xu (2014). Case Retrieval for Network Security Emergency Response Based on Description Logic. Lecture notes in computer science.DOI
Yaoguang Wang, Liang Chang, Fengying Li, Tianlong Gu (2014). Verification of Branch-Time Property Based on Dynamic Description Logic. Lecture notes in computer science.DOI
Liang Chang, Ulrike Sattler, Tianlong Gu (2014). An ABox Revision Algorithm for the Description Logic EL_bot. Research Explorer (The University of Manchester).
Na Zhang, Liang Chang, Zhoubo Xu, Tianlong Gu (2014). Dynamic Description Logic Based on DL-Lite. Lecture notes in computer science.DOI
Liang Chang, Jin Liu, Tianlong Gu, Zhong-Zhi Shi (2014). Semantic Web Service Composition Based on Dynamic Description Logics: Semantic Web Service Composition Based on Dynamic Description Logics.DOI
Zhoubo Xu, Tianlong Gu, Rongsheng Dong (2012). Symbolic OBDD Assembly Sequence Planning Algorithm Based on Unordered Partition with 2 Parts of a Positive Integer. IFIP International Federation for Information Processing/IFIP.DOI
Liang Chang, Qicheng Zhang, Tianlong Gu, Zhongzhi Shi (2012). Dynamic Logic for the Semantic Web. IFIP International Federation for Information Processing/IFIP.DOI
Qianjin Wei, Tianlong Gu, Fengying Li, Guoyong Cai (2012). The Representation of Indiscernibility Relation Using ZBDDs. IFIP International Federation for Information Processing/IFIP.DOI
Tianlong Gu, Liang Chang, Zhoubo Xu (2011). A Novel Symbolic Algorithm for Maximum Weighted Matching in Bipartite Graphs. International Journal of Communications Network and System Sciences.DOI
Tianlong Gu, Liang Chang, Zhoubo Xu (2011). The Symbolic OBDD Algorithm for Finding Optimal Semi-matching in Bipartite Graphs. Communications and Network.DOI
Yaodong Cui, Tianlong Gu, Wei Hu (2010). A bi-objective guillotine cutting problem of stamping strips of equal circles. International Journal of Computer Mathematics.DOI
Yanru Zhong, Meifa Huang, Tianlong Gu (2006). Storage and manipulations of directed graph based on OBDD. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.DOI
Tianlong Gu, Gao Jinchang, Chunhui Zhou (2002). On-line synthesis of supervisors for discrete events in automated manufacturing systems. IEEE International Conference on Industrial Technology (ICIT).DOI
Tianlong Gu, Gao Jinchang, Zhou Chunhui (2002). Petri nets with I/O function hybrid model for intelligent control systems. Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics.DOI
Tianlong Gu, Parisa A. Bahri (1999). Timed Petri-net representation for short term scheduling of multiproduct batch plants. Proceedings of the ... American Control Conference/Proceedings of the American Control Conference.DOI
Congwen Zeng, Tianlong Gu (2007). A Novel Assembly Evolutionary Algorithm for n-Queens Problem. Computational Intelligence and Security.DOI
预印本
Xuemin Wang, Tianlong Gu, Xuguang Bao, Liang Chang (2023). Learning a fair and privacy-preserving graph neural network from private and limited sensitive attributes.DOI
Ning Zhang, Xuan Feng, Tianlong Gu, Liang Chang (2023). MVLP: Multi-perspective Vision-Language Pre-training Model for Ethically Aligned Meme Detection.DOI
Tianlong Gu, Tong Bao, Long Li, Liang Chang, Xuan Feng (2023). Lexicon-enhanced Pre-trained Language Models for Chinese Ethics-related Tasks.DOI