Linan Yue

According to our database, Linan Yue authored at least 43 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

When AI reviews science: Can we trust the referee?

Jialiang Wang, Yuchen Liu, Hang Xu, Kaichun Hu, Shimin Di, Wangze Ni, Linan Yue, Min-Ling Zhang, Kui Ren, Lei Chen

CoRR, April, 2026

Towards Safer Large Reasoning Models by Promoting Safety Decision-Making before Chain-of-Thought Generation.

Jianan Chen, Zhifang Zhang, Shuo He, Linan Yue, Lei Feng, Minling Zhang

CoRR, March, 2026

Bridging Efficiency and Transparency: Explainable CoT Compression in Multimodal Large Reasoning Models.

Yizhi Wang, Linan Yue, Min-Ling Zhang

CoRR, February, 2026

Guided by Trajectories: Repairing and Rewarding Tool-Use Trajectories for Tool-Integrated Reasoning.

Siyu Gong, Linan Yue, Weibo Gao, Fangzhou Yao, Shimin Di, Lei Feng, Min-Ling Zhang

CoRR, January, 2026

Difference-based Sample Selection for Federated Graph Rationalization.

Linan Yue, Weibo Gao

Proceedings of the ACM Web Conference 2026, 2026

Precedent Retrieval Based In-Context Learning for Legal Rationale Generation.

Linan Yue, Yichao Du, Weibo Gao

Proceedings of the Database Systems for Advanced Applications, 2026

APVR: Hour-Level Long Video Understanding with Adaptive Pivot Visual Information Retrieval.

Hong Gao, Yiming Bao, Xuezhen Tu, Bin Zhong, Linan Yue, Min-Ling Zhang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Training Multimodal Large Reasoning Models Needs Better Thoughts: A Three-Stage Framework for Long Chain-of-Thought Synthesis and Selection.

Yizhi Wang, Linan Yue, Min-Ling Zhang

CoRR, December, 2025

Towards Reliable and Faithful Explanations: A Disentanglement-Augmented Approach for Selective Rationalization.

Linan Yue, Qi Liu, Yichao Du, Li Wang, Yanqing An, Enhong Chen

IEEE Trans. Pattern Anal. Mach. Intell., November, 2025

Agentic Video Intelligence: A Flexible Framework for Advanced Video Exploration and Understanding.

Hong Gao, Yiming Bao, Xuezhen Tu, Yutong Xu, Yue Jin, Yiyang Mu, Bin Zhong, Linan Yue, Min-Ling Zhang

CoRR, November, 2025

Code2MCP: Transforming Code Repositories into MCP Services.

Chaoqian Ouyang, Ling Yue, Shimin Di, Libin Zheng, Linan Yue, Shaowu Pan, Jian Yin, Min-Ling Zhang

CoRR, September, 2025

Learning from shortcut: a shortcut-guided approach for explainable graph learning.

Linan Yue, Qi Liu, Ye Liu, Weibo Gao, Fangzhou Yao

Frontiers Comput. Sci., August, 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, Ye Liu, Ziyu Xu, Qi Liu, Shimin Di, Min-Ling Zhang

CoRR, August, 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, 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, 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, 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

Proceedings of the 41st IEEE International Conference on Data Engineering, 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

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

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., November, 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, 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, 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, 2024

Towards Few-Shot Self-explaining Graph Neural Networks.

Jingyu Peng, Qi Liu, Linan Yue, Zaixi Zhang, Kai Zhang, Yunhao Sha

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 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

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 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, 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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Towards Faithful Explanations: Boosting Rationalization with Shortcuts Discovery.

Linan Yue, Qi Liu, Yichao Du, Li Wang, Weibo Gao, Yanqing An

Proceedings of the Twelfth International Conference on Learning Representations, 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

Proceedings of the IEEE International Conference on Acoustics, 2024

FedJudge: Federated Legal Large Language Model.

Linan Yue, Qi Liu, Yichao Du, Weibo Gao, Ye Liu, Fangzhou Yao

Proceedings of the Database Systems for Advanced Applications, 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

Proceedings of the Database Systems for Advanced Applications, 2024

Post-hoc Facts augmented Legal Judgment Prediction.

Yanqing An, Linan Yue, Weibo Gao, Kai Zhang, Qi Liu

Proceedings of the Database Systems for Advanced Applications, 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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

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, 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, 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, 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

Proceedings of the Artificial Intelligence - Third CAAI International Conference, 2023

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

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

DARE: Disentanglement-Augmented Rationale Extraction.

Linan Yue, Qi Liu, Yichao Du, Yanqing An, Li Wang, Enhong Chen

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

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, 2022

2021

Circumstances enhanced Criminal Court View Generation.

Linan Yue, Qi Liu, Han Wu, Yanqing An, Li Wang, Senchao Yuan, Dayong Wu

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 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

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 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

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

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

Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021