Legal Judgment Prediction with Multiple Perspectives on Civil Cases. - Lili Zhao 002; Linan Yue; Yanqing An; Ye Liu 011; Kai Zhang 038; Weidong He; Yanmin Chen; Senchao Yuan; Qi Liu 003 (CICAI, 2021)

LawyerPAN: A Proficiency Assessment Network for Trial Lawyers. - Yanqing An; Qi Liu 003; Han Wu 002; Kai Zhang 038; Linan Yue; Mingyue Cheng; Hongke Zhao; Enhong Chen (KDD, 2021)

NeurJudge: A Circumstance-aware Neural Framework for Legal Judgment Prediction. - Linan Yue; Qi Liu 003; Binbin Jin; Han Wu 002; Kai Zhang 038; Yanqing An; Mingyue Cheng; Biao Yin; Dayong Wu (SIGIR, 2021)

Circumstances enhanced Criminal Court View Generation. - Linan Yue; Qi Liu 003; Han Wu 002; Yanqing An; Li Wang 014; Senchao Yuan; Dayong Wu (SIGIR, 2021)

CPEE: Civil Case Judgment Prediction centering on the Trial Mode of Essential Elements. - Lili Zhao 002; Linan Yue; Yanqing An; Yuren Zhang; Jun Yu 011; Qi Liu 003; Enhong Chen (CIKM, 2022)

DARE: Disentanglement-Augmented Rationale Extraction. - Linan Yue; Qi Liu 003; Yichao Du; Yanqing An; Li Wang 014; Enhong Chen (NeurIPS, 2022)

RHGN: Relation-gated Heterogeneous Graph Network for Entity Alignment in Knowledge Graphs. - Xukai Liu; Kai Zhang 038; Ye Liu 011; Enhong Chen; Zhenya Huang; Linan Yue; Jiaxian Yan (ACL (Findings), 2023)

Diagnosis Then Aggregation: An Adaptive Ensemble Strategy for Keyphrase Extraction. - Xin Jin; Qi Liu 003; Linan Yue; Ye Liu 011; Lili Zhao 002; Weibo Gao; Zheng Gong 001; Kai Zhang 038; Haoyang Bi (CICAI (1), 2023)

Interventional Rationalization. - Linan Yue; Qi Liu 003; Li Wang 014; Yanqing An; Yichao Du; Zhenya Huang (EMNLP, 2023)

Keep Skills in Mind: Understanding and Implementing Skills in Commonsense Question Answering. - Meikai Bao; Qi Liu 003; Kai Zhang 038; Ye Liu 011; Linan Yue; Longfei Li; Jun Zhou 011 (IJCAI, 2023)

Leveraging Transferable Knowledge Concept Graph Embedding for Cold-Start Cognitive Diagnosis. - Weibo Gao; Hao Wang 076; Qi Liu 003; Fei Wang 063; Xin Lin 005; Linan Yue; Zheng Zhang 048; Rui Lv; Shijin Wang 001 (SIGIR, 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 003; Hao Wang 076; Linan Yue; Haoyang Bi; Yin Gu; Fangzhou Yao; Zheng Zhang 048; Xin Li 064; Yuanjing He (AAAI, 2024)

Post-hoc Facts augmented Legal Judgment Prediction. - Yanqing An; Linan Yue; Weibo Gao; Kai Zhang 038; Qi Liu 003 (DASFAA (2), 2024)

Empowering Few-Shot Relation Extraction with The Integration of Traditional RE Methods and Large Language Models. - Ye Liu 011; Kai Zhang 038; Aoran Gan; Linan Yue; Feng Hu; Qi Liu 003; Enhong Chen (DASFAA (5), 2024)

FedJudge: Federated Legal Large Language Model. - Linan Yue; Qi Liu 003; Yichao Du; Weibo Gao; Ye Liu 011; Fangzhou Yao (DASFAA (5), 2024)

Communication-Efficient Personalized Federated Learning for Speech-to-Text Tasks. - Yichao Du; Zhirui Zhang; Linan Yue; Xu Huang 008; Yuqing Zhang; Tong Xu 001; Linli Xu; Enhong Chen (ICASSP, 2024)

Towards Faithful Explanations: Boosting Rationalization with Shortcuts Discovery. - Linan Yue; Qi Liu 003; Yichao Du; Li Wang 014; Weibo Gao; Yanqing An (ICLR, 2024)

Federated Self-Explaining GNNs with Anti-shortcut Augmentations. - Linan Yue; Qi Liu 003; Weibo Gao; Ye Liu 011; Kai Zhang 038; Yichao Du; Li Wang 014; Fangzhou Yao (ICML, 2024)

AdaRD: An Adaptive Response Denoising Framework for Robust Learner Modeling. - Fangzhou Yao; Qi Liu 003; Linan Yue; Weibo Gao; Jiatong Li 002; Xin Li 064; Yuanjing He (KDD, 2024)

Collaborative Cognitive Diagnosis with Disentangled Representation Learning for Learner Modeling. - Weibo Gao; Qi Liu 003; Linan Yue; Fangzhou Yao; Hao Wang 076; Yin Gu; Zheng Zhang 048 (NeurIPS, 2024)

Towards Few-Shot Self-explaining Graph Neural Networks. - Jingyu Peng; Qi Liu 003; Linan Yue; Zaixi Zhang; Kai Zhang 038; Yunhao Sha (ECML/PKDD (6), 2024)

Event Grounded Criminal Court View Generation with Cooperative (Large) Language Models. - Linan Yue; Qi Liu 003; Lili Zhao 002; Li Wang 014; Weibo Gao; Yanqing An (SIGIR, 2024)

COMI: COrrect and MItigate Shortcut Learning Behavior in Deep Neural Networks. - Lili Zhao 002; Qi Liu 003; Linan Yue; Wei Chen 156; Liyi Chen 001; Ruijun Sun; Chao Song (SIGIR, 2024)

Cooperative Classification and Rationalization for Graph Generalization. - Linan Yue; Qi Liu 003; Ye Liu 011; Weibo Gao; Fangzhou Yao; Wenfeng Li (WWW, 2024)

A Circumstance-Aware Neural Framework for Explainable Legal Judgment Prediction. - Linan Yue; Qi Liu 003; Binbin Jin; Han Wu 002; Yanqing An (IEEE Trans. Knowl. Data Eng., 2024)

Agent4Edu: Generating Learner Response Data by Generative Agents for Intelligent Education Systems. - Weibo Gao; Qi Liu 003; Linan Yue; Fangzhou Yao; Rui Lv; Zheng Zhang 048; Hao Wang 076; Zhenya Huang (AAAI, 2025)

GraphPrompter: Multi-Stage Adaptive Prompt Optimization for Graph In-Context Learning. - Rui Lv; Zaixi Zhang; Kai Zhang 038; Qi Liu 003; Weibo Gao; Jiawei Liu; Jiaxia Yan; Linan Yue; Fangzhou Yao (ICDE, 2025)

Denoising Programming Knowledge Tracing with a Code Graph-based Tuning Adaptor. - Weibo Gao; Qi Liu 003; Rui Li 093; Yuze Zhao; Hao Wang 076; Linan Yue; Fangzhou Yao; Zheng Zhang 048 (KDD (1), 2025)

BoxCD: Leveraging Contrastive Probabilistic Box Embedding for Effective and Efficient Learner Modeling. - Weibo Gao; Qi Liu 003; Linan Yue; Fangzhou Yao; Zhenya Huang; Zheng Zhang 048; Rui Lv (WWW, 2025)

Empowering Federated Graph Rationale Learning with Latent Environments. - Linan Yue; Qi Liu 003; Yawen Li 001; Fangzhou Yao; Weibo Gao; Junping Du 001 (WWW, 2025)

Don't Overthink It: A Survey of Efficient R1-style Large Reasoning Models. - Linan Yue; Yichao Du; Yizhi Wang; Weibo Gao; Fangzhou Yao; Li Wang 014; Ye Liu 011; Ziyu Xu; Qi Liu 003; Shimin Di; Min-Ling Zhang (CoRR, 2025)

Learning from shortcut: a shortcut-guided approach for explainable graph learning. - Linan Yue; Qi Liu 003; Ye Liu 011; Weibo Gao; Fangzhou Yao (Frontiers Comput. Sci., 2025)