Linan Yue (岳立楠) Associate Professor PAttern Learning and Mining(PALM) Lab Southeast University Key Laboratory of Computer Network and Information Integration, Ministry of Education Jiangsu Province, Nanjing City China Email: lnyue@seu.edu.cn Links: Google Scholar, Code

Biography

I am an associate professor at the School of Computer Science and Engineering, Southeast University. I am also a member of PALM group working with Prof Min-Ling Zhang. Before that, I received my PhD degree from University of Science and Technology of China in December, advised by Prof Qi Liu. I received my Bachelor degree from HoHai University and majored in Computer Science and minored in Law.

My research interests include LLM/MLLM Reasoning, Natural Language Processing, Trustworthy AI and AI for Social Science.

We are looking for self-motivated students! If you are interested, please feel free to contact me!

Selected Publications (Full Publications)

LLM/MLLM Reasoning:
• Don't Overthink It: A Survey of Efficient R1-style Large Reasoning Models. [Paper] [Project]
  Linan Yue, Yichao Du, Yizhi Wang, Weibo Gao, Fangzhou Yao, Li Wang, Ye Liu, Ziyu Xu,
  Qi Liu, Shimin Di, Min-Ling Zhang*
  Preprint. 2025.
  

• PrefTool: Lightweight Preference-Aware Retrieval for Personalized Tool Selection.
  Xuanzhen Li, Linan Yue*
  Findings of the 2026 Conference on Empirical Methods in Natural Language Processing. (Findings of EMNLP), 2026.
  

• Bag-of-Tokens Tuning: Aligning LLM Logits with Contextual Probabilities.
  Chen-Meng Qiu, Wang Ze-Hao, Deng-Bao Wang, Linan Yue, Min-Ling Zhang
  The 2026 Conference on Empirical Methods in Natural Language Processing. (EMNLP), 2026.
  

• 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
  The 34th ACM International Conference on Multimedia. (ACM MM), 2026.
  

• Think Less, Act Warranted: Efficient Tool-Integrated Reasoning via Dual-Efficiency Regularization.
  Yichen Xiao, Siyu Gong, Linan Yue*
  The 32nd SIGKDD Conference on Knowledge Discovery and Data Mining. (KDD), 2026.
  

• Learning Graph Rationales to Compress Long Chains of Thought in Multimodal Reasoning.
  Yizhi Wang, Linan Yue*, Deng-Bao Wang, Tong Wei, Min-Ling Zhang
  The 32nd SIGKDD Conference on Knowledge Discovery and Data Mining. (KDD), 2026.
  

• Code2MCP: Transforming Code Repositories into MCP Services.
  Chaoqian Ouyang, Ling Yue, Shimin Di*, Libin Zheng*, Linan Yue, Shaowu Pan, Jian Yin, Min-Ling Zhang
  The 32nd SIGKDD Conference on Knowledge Discovery and Data Mining. (KDD), 2026.
  

• UniRRM: Unified Reasoning Reward Models Across Languages and Evaluation Paradigms
  Peng Lai, Yichao Du*, Junchao Wu, Weibo Gao, Linan Yue, Longyue Wang, Weihua Luo, Derek F. Wong, Guanhua Chen
  The third International Conference on Machine Learning (ICML), 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*
  The Fortieth AAAI Conference on Artificial Intelligence(AAAI), 2026.
  

Trustworthy AI:
• CoRas: Cooperative Rationale Selection for Graph Rationale Learning in Out-of-Distribution Graphs.
  Fangzhou Yao, Linan Yue*, Weibo Gao, Qi Liu, Enhong Chen
  IEEE Transactions on Knowledge and Data Engineering. (IEEE TKDE), 2026.
  

• Complement-aware Rationale Extraction Method for Graph Classification Tasks.
  Linan Yue, Min-Ling Zhang*
  Journal of Software. (软件学报), 2026.
  

• 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 Transactions on Pattern Analysis and Machine Intelligence. (IEEE TPAMI), 2025.
  

• Empowering Federated Graph Rationale Learning with Latent Environments.
  Linan Yue, Qi Liu*, Yawen Li, Fangzhou Yao, Weibo Gao, Junping Du
  The Web Conference 2025 (WWW), 2025.
  

• Federated Self-Explaining GNNs with Anti-shortcut Augmentations.
  Linan Yue, Qi Liu*, Weibo Gao, Ye Liu, Kai Zhang, Yichao Du, Li Wang, Fangzhou Yao
  The Forty-first International Conference on Machine Learning (ICML), 2024.
  

• Cooperative Classification and Rationalization for Graph Generalization. [Code]
  Linan Yue, Qi Liu*, Ye Liu, Weibo Gao, Fangzhou Yao, Wenfeng Li
  The Web Conference 2024 (WWW), 2024.
  

• Towards Faithful Explanations: Boosting Rationalization with Shortcuts Discovery. [Code]
  Linan Yue, Qi Liu*, Yichao Du, Li Wang, Weibo Gao, Yanqing An
  The twelfth International Conference on Learning Representations (ICLR), 2024.
  

• Interventional Rationalization. [Code]
  Linan Yue, Qi Liu*, Li Wang, Yanqing An, Yichao Du, Zhenya Huang
  The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023.
  

• DARE: Disentanglement-Augmented Rationale Extraction. [Code]
  Linan Yue, Qi Liu*, Yichao Du, Yanqing An, Li Wang, Enhong Chen
  The 36th Advances in Neural Information Processing Systems (NeurIPS (Spotlight)), 2022.
  

• Learning from Shortcut: A Shortcut-guided Approach for Explainable Graph Learning.[Code]
  Linan Yue, Qi Liu*, Ye Liu, Weibo Gao, Fangzhou Yao
  Frontiers of Computer Science (FCS), 2024.
  

• 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
  The 3rd CAAI International Conference on Artificial Intelligence (CICAI), 2023. Finalist of Best Paper Award (Top-3)
  

• COMI: COrrect and MItigate Shortcut Learning Behavior in Deep Neural Networks.
  Lili Zhao, Qi Liu*, Linan Yue, Wei Chen, Liyi Chen, Ruijun Sun and Chao Song.
  The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval. (SIGIR), 2024.
  

• Towards Few-shot Self-explaining Graph Neural Networks.
  Jingyu Peng, Qi Liu*, Linan Yue, Zaixi Zhang, Kai Zhang, and Yunhao Sha.
  European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2024. (ECML-PKDD), 2024.
  

• GraphPrompter: Multi-stage Adaptive Prompt Optimization for Graph In-Context Learning.
  Rui Lv, Zaixi Zhang, Kai Zhang, Qi Liu, Weibo Gao, Jiawei Liu, Jiaxian Yan, Linan Yue, Fangzhou Yao.
  The 41st IEEE International Conference on Data Engineering. (ICDE), 2025.
  

Natural Language Processing:
• MASS: Mitigating Aspect-oriented Semantic Sparsity for Fine-grained Sentiment Analysis.
  Yanjiang Chen, Kai Zhang, Zhe Yang, Linan Yue, Xinjie Sun, Kun Zhang, Qi Liu
  The International Conference on Database Systems for Advanced Applications. (DASFAA), 2025.
  

• FedJudge: Federated Legal Large Language Model. [Code]
  Linan Yue, Qi Liu*, Yichao Du, Weibo Gao, Ye Liu, Fangzhou Yao
  The International Conference on Database Systems for Advanced Applications. (DASFAA(Oral)), 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
  2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024.
  

• Empowering Few-Shot Relation Extraction with The Integration of Traditional RE Methods and Large Language Models.
  Ye Liu, Kai Zhang, Ao-ran Gan, Linan Yue, Feng Hu, Qi Liu, Enhong Chen
  The International Conference on Database Systems for Advanced Applications. (DASFAA), 2024.
  

• 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
  The 32nd International Joint Conference on Artificial Intelligence (IJCAI), 2023.
  

• RHGH: Relation-gated Heterogeneous Graph Network for Entity Alignment in Knowledge Graphs.
Xukai Liu, Ye Liu, Enhong Chen, Zhenya Huang, Kai Zhang*, Linan Yue, Jiaxian Yan
Findings of the 61st annual meeting of the Association for Computational Linguistics (ACL Findings), 2023.
AI for Social Science:
• 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
  The Innovation Informatics. (TII), 2026.
  

• 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
  The Web Conference 2025 (WWW), 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
  The 39th Annual AAAI Conference on Artificial Intelligence. (AAAI), 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
  The 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining. (KDD), 2025.
  

• Collaborative Cognitive Diagnosis with Disentangled Representation Learning.
  Weibo Gao, Qi Liu*, Linan Yue, Fangzhou Yao, Hao Wang, Yin Gu, Zheng Zhang
  The Thirty-eighth Annual Conference on Neural Information Processing Systems. (NeurIPS), 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
  The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. (KDD), 2024.
  

• A Circumstance-aware Neural Framework for Explainable Legal Judgment Prediction.
  Linan Yue, Qi Liu*, Binbin Jin, Han Wu, and Yanqing An
  IEEE Transactions on Knowledge and Data Engineering. (IEEE TKDE), 2024.
  

• Event Grounded Criminal Court View Generation with Cooperative (Large) Language Models. [Code]
  Linan Yue, Qi Liu*, Lili Zhao, Li Wang, Weibo Gao and Yanqing An
  The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval. (SIGIR), 2024.
  

• Post-Facts augmented Legal Judgment Prediction.
  Yanqing An, Linan Yue, Weibo Gao, Kai Zhang, Qi Liu
  The International Conference on Database Systems for Advanced Applications. (DASFAA), 2024.
  

• 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
The 38th Annual AAAI Conference on Artificial Intelligence (AAAI), 2024.
• 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 and Shijin Wang
The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023.

• CPEE: Civil Case Judgment Prediction centering on the Trial Mode of Essential Elements.[Code]
  
Lili Zhao, Linan Yue, Yanqing An, Yuren Zhang, Jun Yu, Qi Liu*, Enhong Chen,
The 31st ACM International Conference on Information and Knowledge Management (CIKM), 2022.

• NeurJudge: A Circumstance-aware Neural Framework for Legal Judgment Prediction.[Code]
  
Linan Yue, Qi Liu*, Binbin Jin, Han Wu, Kai Zhang, Yanqing An, Mingyue Cheng, Biao Yin, Dayong Wu
The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021.

• Circumstances enhanced Criminal Court View Generation.[Code]
  
Linan Yue, Qi Liu*, Han Wu, Yanqing An, Li Wang, Senchao Yuan, Dayong Wu
The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021.

• LawyerPAN: A Proficiency Assessment Network for Trial Lawyers.[Code]
  
Yanqing An, Qi Liu*, Han Wu, Kai Zhang, Linan Yue, Mingyue Cheng, Hongke Zhao, Enhong Chen
The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2021.

• Legal Judgment Prediction with Multiple Perspectives on Civil Cases.
  
Lili Zhao, Linan Yue, Yanqing An, Ye Liu, Kai Zhang, Weidong He, Yanmin Chen, Qi Liu*
The 1st CAAI International Conference on Artificial Intelligence (CICAI), 2021.

Academic Services

2023: TKDE, SIGIR, WWW, IJCAI, ACL Rolling Review (ARR-Feb, ARR-Jun), EMNLP
2024: ICLR, ICML, NeurIPS, IJCAI, SIGIR, CIKM, ARR-Jun, ARR-Dec
2025: AAAI, WWW, ICLR, NeurIPS, KDD, AISTATS, SIGIR, ICML, ACL, CIKM, IJCAI, TKDE, TOIS, SCIENCE CHINA Information Sciences, FCS
2026: AAAI, AISTATS, ICLR, SIGIR-long, SIGIR-short (AC), KDD, ICML, IJCAI, ARR-Jan, NeurIPS (No submission, No reviewing)
2027: AAAI (SPC), KDD