Learning from shortcut: a shortcut-guided approach for explainable graph learning - Linan Yue; Qi Liu; Ye Liu; Weibo Gao; Fangzhou Yao (Frontiers Comput. Sci., 2025)

Agent4Edu: Generating Learner Response Data by Generative Agents for Intelligent Education Systems - Weibo Gao; Qi Liu; Linan Yue; Fangzhou Yao; Rui Lv; Zheng Zhang; Hao Wang; Zhenya Huang (AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25 - March 4, 2025, Philadelphia, PA, USA, 2025)

Denoising Programming Knowledge Tracing with a Code Graph-based Tuning Adaptor - Weibo Gao; Qi Liu; Rui Li; Yuze Zhao; Hao Wang; Linan Yue; Fangzhou Yao; Zheng Zhang (Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, KDD 2025, Toronto, ON, Canada, August 3-7, 2025, 2025)

BoxCD: Leveraging Contrastive Probabilistic Box Embedding for Effective and Efficient Learner Modeling - Weibo Gao; Qi Liu; Linan Yue; Fangzhou Yao; Zhenya Huang; Zheng Zhang; Rui Lv (Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025, 2025)

Empowering Federated Graph Rationale Learning with Latent Environments - Linan Yue; Qi Liu; Yawen Li; Fangzhou Yao; Weibo Gao; Junping Du (Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025, 2025)

Agent4Edu: Generating Learner Response Data by Generative Agents for Intelligent Education Systems - Weibo Gao; Qi Liu; Linan Yue; Fangzhou Yao; Rui Lv; Zheng Zhang; Hao Wang; Zhenya Huang (CoRR, 2025)

GraphPrompter: Multi-stage Adaptive Prompt Optimization for Graph In-Context Learning - Rui Lv; Zaixi Zhang; Kai Zhang; Qi Liu; Weibo Gao; Jiawei Liu; Jiaxia Yan; Linan Yue; Fangzhou Yao (CoRR, 2025)

A Circumstance-Aware Neural Framework for Explainable Legal Judgment Prediction - Linan Yue; Qi Liu; Binbin Jin; Han Wu; Yanqing An (IEEE Trans. Knowl. Data Eng., 2024)

Zero-1-to-3: Domain-Level Zero-Shot Cognitive Diagnosis via One Batch of Early-Bird Students towards Three Diagnostic Objectives - Weibo Gao; Qi Liu; Hao Wang; Linan Yue; Haoyang Bi; Yin Gu; Fangzhou Yao; Zheng Zhang; Xin Li; Yuanjing He (Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI 2024, Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence, IAAI 2024, Fourteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2014, February 20-27, 2024, Vancouver, Canada, 2024)

FedJudge: Federated Legal Large Language Model - Linan Yue; Qi Liu; Yichao Du; Weibo Gao; Ye Liu; Fangzhou Yao (Database Systems for Advanced Applications - 29th International Conference, DASFAA 2024, Gifu, Japan, July 2-5, 2024, Proceedings, Part V, 2024)

Empowering Few-Shot Relation Extraction with The Integration of Traditional RE Methods and Large Language Models - Ye Liu; Kai Zhang; Aoran Gan; Linan Yue; Feng Hu; Qi Liu; Enhong Chen (Database Systems for Advanced Applications - 29th International Conference, DASFAA 2024, Gifu, Japan, July 2-5, 2024, Proceedings, Part V, 2024)

Post-hoc Facts augmented Legal Judgment Prediction - Yanqing An; Linan Yue; Weibo Gao; Kai Zhang; Qi Liu (Database Systems for Advanced Applications - 29th International Conference, DASFAA 2024, Gifu, Japan, July 2-5, 2024, Proceedings, Part II, 2024)

Communication-Efficient Personalized Federated Learning for Speech-to-Text Tasks - Yichao Du; Zhirui Zhang; Linan Yue; Xu Huang; Yuqing Zhang; Tong Xu; Linli Xu; Enhong Chen (IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2024, Seoul, Republic of Korea, April 14-19, 2024, 2024)

Towards Faithful Explanations: Boosting Rationalization with Shortcuts Discovery - Linan Yue; Qi Liu; Yichao Du; Li Wang; Weibo Gao; Yanqing An (The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024, 2024)

Federated Self-Explaining GNNs with Anti-shortcut Augmentations - Linan Yue; Qi Liu; Weibo Gao; Ye Liu; Kai Zhang; Yichao Du; Li Wang; Fangzhou Yao (Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27, 2024, 2024)

AdaRD: An Adaptive Response Denoising Framework for Robust Learner Modeling - Fangzhou Yao; Qi Liu; Linan Yue; Weibo Gao; Jiatong Li; Xin Li; Yuanjing He (Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2024, Barcelona, Spain, August 25-29, 2024, 2024)

Collaborative Cognitive Diagnosis with Disentangled Representation Learning for Learner Modeling - Weibo Gao; Qi Liu; Linan Yue; Fangzhou Yao; Hao Wang; Yin Gu; Zheng Zhang (Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024, 2024)

Towards Few-Shot Self-explaining Graph Neural Networks - Jingyu Peng; Qi Liu; Linan Yue; Zaixi Zhang; Kai Zhang; Yunhao Sha (Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part VI, 2024)

COMI: COrrect and MItigate Shortcut Learning Behavior in Deep Neural Networks - Lili Zhao; Qi Liu; Linan Yue; Wei Chen; Liyi Chen; Ruijun Sun; Chao Song (Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024, 2024)

Event Grounded Criminal Court View Generation with Cooperative (Large) Language Models - Linan Yue; Qi Liu; Lili Zhao; Li Wang; Weibo Gao; Yanqing An (Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024, 2024)

Cooperative Classification and Rationalization for Graph Generalization - Linan Yue; Qi Liu; Ye Liu; Weibo Gao; Fangzhou Yao; Wenfeng Li (Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024, 2024)

Communication-Efficient Personalized Federated Learning for Speech-to-Text Tasks - Yichao Du; Zhirui Zhang; Linan Yue; Xu Huang; Yuqing Zhang; Tong Xu; Linli Xu; Enhong Chen (CoRR, 2024)

Cooperative Classification and Rationalization for Graph Generalization - Linan Yue; Qi Liu; Ye Liu; Weibo Gao; Fangzhou Yao; Wenfeng Li (CoRR, 2024)

Towards Faithful Explanations: Boosting Rationalization with Shortcuts Discovery - Linan Yue; Qi Liu; Yichao Du; Li Wang; Weibo Gao; Yanqing An (CoRR, 2024)

Event Grounded Criminal Court View Generation with Cooperative (Large) Language Models - Linan Yue; Qi Liu; Lili Zhao; Li Wang; Weibo Gao; Yanqing An (CoRR, 2024)

Empowering Few-Shot Relation Extraction with The Integration of Traditional RE Methods and Large Language Models - Ye Liu; Kai Zhang; Aoran Gan; Linan Yue; Feng Hu; Qi Liu; Enhong Chen (CoRR, 2024)

Towards Few-shot Self-explaining Graph Neural Networks - Jingyu Peng; Qi Liu; Linan Yue; Zaixi Zhang; Kai Zhang; Yunhao Sha (CoRR, 2024)

Collaborative Cognitive Diagnosis with Disentangled Representation Learning for Learner Modeling - Weibo Gao; Qi Liu; Linan Yue; Fangzhou Yao; Hao Wang; Yin Gu; Zheng Zhang (CoRR, 2024)

RHGN: Relation-gated Heterogeneous Graph Network for Entity Alignment in Knowledge Graphs - Xukai Liu; Kai Zhang; Ye Liu; Enhong Chen; Zhenya Huang; Linan Yue; Jiaxian Yan (Findings of the Association for Computational Linguistics: ACL 2023, Toronto, Canada, July 9-14, 2023, 2023)

Diagnosis Then Aggregation: An Adaptive Ensemble Strategy for Keyphrase Extraction - Xin Jin; Qi Liu; Linan Yue; Ye Liu; Lili Zhao; Weibo Gao; Zheng Gong; Kai Zhang; Haoyang Bi (Artificial Intelligence - Third CAAI International Conference, CICAI 2023, Fuzhou, China, July 22-23, 2023, Revised Selected Papers, Part I, 2023)

Interventional Rationalization - Linan Yue; Qi Liu; Li Wang; Yanqing An; Yichao Du; Zhenya Huang (Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023, Singapore, December 6-10, 2023, 2023)

Keep Skills in Mind: Understanding and Implementing Skills in Commonsense Question Answering - Meikai Bao; Qi Liu; Kai Zhang; Ye Liu; Linan Yue; Longfei Li; Jun Zhou (Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, IJCAI 2023, 19th-25th August 2023, Macao, SAR, China, 2023)

Leveraging Transferable Knowledge Concept Graph Embedding for Cold-Start Cognitive Diagnosis - Weibo Gao; Hao Wang; Qi Liu; Fei Wang; Xin Lin; Linan Yue; Zheng Zhang; Rui Lv; Shijin Wang (Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023, 2023)

FedJudge: Federated Legal Large Language Model - Linan Yue; Qi Liu; Yichao Du; Weibo Gao; Ye Liu; Fangzhou Yao (CoRR, 2023)

Zero-1-to-3: Domain-level Zero-shot Cognitive Diagnosis via One Batch of Early-bird Students towards Three Diagnostic Objectives - Weibo Gao; Qi Liu; Hao Wang; Linan Yue; Haoyang Bi; Yin Gu; Fangzhou Yao; Zheng Zhang; Xin Li; Yuanjing He (CoRR, 2023)

CPEE: Civil Case Judgment Prediction centering on the Trial Mode of Essential Elements - Lili Zhao; Linan Yue; Yanqing An; Yuren Zhang; Jun Yu; Qi Liu; Enhong Chen (Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022, 2022)

DARE: Disentanglement-Augmented Rationale Extraction - Linan Yue; Qi Liu; Yichao Du; Yanqing An; Li Wang; Enhong Chen (Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022, 2022)

Legal Judgment Prediction with Multiple Perspectives on Civil Cases - Lili Zhao; Linan Yue; Yanqing An; Ye Liu; Kai Zhang; Weidong He; Yanmin Chen; Senchao Yuan; Qi Liu (Artificial Intelligence - First CAAI International Conference, CICAI 2021, Hangzhou, China, June 5-6, 2021, Proceedings, Part I, 2021)

LawyerPAN: A Proficiency Assessment Network for Trial Lawyers - Yanqing An; Qi Liu; Han Wu; Kai Zhang; Linan Yue; Mingyue Cheng; Hongke Zhao; Enhong Chen (KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Virtual Event, Singapore, August 14-18, 2021, 2021)

NeurJudge: A Circumstance-aware Neural Framework for Legal Judgment Prediction - Linan Yue; Qi Liu; Binbin Jin; Han Wu; Kai Zhang; Yanqing An; Mingyue Cheng; Biao Yin; Dayong Wu (SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021, 2021)

Circumstances enhanced Criminal Court View Generation - Linan Yue; Qi Liu; Han Wu; Yanqing An; Li Wang; Senchao Yuan; Dayong Wu (SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021, 2021)