国际影响力
连续四年入选全球前2％顶尖科学家（2022-2025）
入选2025年全球人工智能女性人才榜TOP50
入选2025年中国人工智能人才榜TOP100
入选2023年百度AI华人女性青年学者榜单（全球共80人）
入选2022年百度全球华人AI青年学者榜单（全球共100人）
多次担任ACL、NeurIPS、EMNLP、COLING、NAACL等人工智能顶级会议的（高级）领域主席
科技项目承担情况
近五年主持国家重点研发计划项目、国家自然科学基金项目、广东省自然科学基金项目、深圳市科创委项目、工业委托项目（顺丰、阿里等），累计经费近2000万。
成果转化情况
研发得理法律大模型，已成功上线小理AI、得理法搜等系统，支持合同审查、法律问答、文书生成等多种功能，是首批通过网信办备案的法律大模型算法，已服务超过17万名法律专业人士。
代表性论文
1.Run Luo, Renke Shan, Longze Chen, Ziqiang Liu, Lu Wang, Min Yang, Xiaobo Xia. VCM: Vision Concept Modeling with Adaptive Vision Token Compression via Instruction Fine-Tuning. The Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS), 2025. (CCF A)
2.Run Luo, Ting-En Lin, Haonan Zhang, Yuchuan Wu, Xiong Liu, Min Yang, Yongbin Li, Longze Chen, Jiaming Li, Lei Zhang, Xiaobo Xia, Hamid Alinejad-Rokny, Fei Huang. OpenOmni: Advancing Open-Source Omnimodal Large Language Models with Progressive Multimodal Alignment and Real-time Emotional Speech Synthesis. The Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS), 2025. (CCF A)
3.Runzhe Zhan, Zhihong Huang, Xinyi Yang, Lidia S. Chao, Min Yang, Derek F. Wong. Are Large Reasoning Models Good Translation Evaluators? Analysis and Performance Boost. The Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS), 2025. (CCF A)
4.Xeron Du, Yifan Yao, Kaijing Ma, Bingli Wang, et al. SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines. The Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS), 2025. (CCF A)
5.Lei Zhang, Jiaxi Yang, Min Yang, Jian Yang, Mouxiang Chen, Jiajun Zhang, Zeyu Cui, Binyuan Hui, Junyang Lin. Synthesizing Software Engineering Data in a Test-Driven Manner. International Conference on Machine Learning (ICML), 2025. (CCF A)
6.Longze Chen, Renke Shan, Huiming Wang, Lu Wang, Ziqiang Liu, Run Luo, Jiawei Wang, Hamid Alinejad-Rokny, Min Yang. CLaSp: In-Context Layer Skip for Self-Speculative Decoding. The Annual Meeting of the Association for Computational Linguistics (ACL), 2025. (CCF A)
Sunbowen Lee, Junting Zhou, Chang Ao, Kaige Li, Xeron Du, Sirui He, Haihong Wu, Tianci Liu, Jiaheng Liu, Hamid Alinejad-Rokny, Min Yang, Yitao Liang, Zhoufutu Wen, Shiwen Ni. Quantification of Large Language Model Distillation. The Annual Meeting of the Association for Computational Linguistics (ACL), 2025. (CCF A)
7.Yang Sun, Guanrong Chen, Hamid Alinejad-Rokny, Jianzhu Bao, Yuqi Huang, Bin Liang, Kam-Fai Wong, Min Yang, Ruifeng Xu. Learning First-Order Logic Rules for Argumentation Mining. The Annual Meeting of the Association for Computational Linguistics (ACL), 2025. (CCF A)
8.Haonan Zhang, Run Luo, Xiong Liu, Yuchuan Wu, Ting-En Lin, Pengpeng Zeng,Qiang Qu, Feiteng Fang, Min Yang, Lianli Gao, Jingkuan Song, Fei Huang, Yongbin Li. OmniCharacter: Towards Immersive Role-Playing Agents with Seamless Speech-Language Personality Interaction. The Annual Meeting of the Association for Computational Linguistics (ACL), 2025. (CCF A)
9.Chenhao Zhang, Xi Feng, Yuelin Bai, Xeron Du, Jinchang Hou, Kaixin Deng, Guangzeng Han, Qinrui Li, Bingli Wang, Jiaheng Liu, Xingwei Qu, Yifei Zhang, Qixuan Zhao, Yiming Liang, Ziqiang Liu, Feiteng Fang, Min Yang, Wenhao Huang, Chenghua Lin, Ge Zhang, Shiwen Ni. Can MLLMs Understand the Deep Implication Behind Chinese Images?. The Annual Meeting of the Association for Computational Linguistics (ACL), 2025. (CCF A)
10.Jiaxi Yang, Bingyuan Hui, Min Yang, Bailin Wang, Bowen Li, Binhua Li, Fei Huang, Yongbin Li. Iterative Forward Tuning Boosts In-Context Learning in Language Models. The Annual Meeting of the Association for Computational Linguistics (ACL), 2024. (CCF A)
11.Jiaxi Yang, Bingyuan Hui, Min Yang, Jian Yang, Junking Lin, Chang Zhou. Synthesizing Text-to-SQL Data from Weak and Strong LLMs. The Annual Meeting of the Association for Computational Linguistics (ACL), 2024. (CCF A)
12.Shiwen Ni, Dingwei Chen, Chengming Li, Xiping Hu, Ruifeng Xu, Min Yang. Forgetting before Learning: Utilizing Parametric Arithmetic for Knowledge Updating in Large Language Models. The Annual Meeting of the Association for Computational Linguistics (ACL), 2024. (CCF A)
13.Yunshui Li, Bingyuan Hui, Xiaobo Xia, Jiaxi Yang, Min Yang, Lei Zhang, Shushing Si, et al. One-Shot Learning as Instruction Data Prospector for Large Language Models. The Annual Meeting of the Association for Computational Linguistics (ACL), 2024. (CCF A)
14.Longze Chen, Ziqiang Liu, Yunshui Li, Run Lou, Min Yang. Long Context is Not Long at All: A Prospector of Long-Dependency Data for Large Language Models. The Annual Meeting of the Association for Computational Linguistics (ACL), 2024. (CCF A)
15.Feiteng Fang, Yuelin Bai, Shiwen Ni, Min Yang, Xiaojun Chen, Ruifeng Xu. Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training. The Annual Meeting of the Association for Computational Linguistics (ACL), 2024. (CCF A)
16.Lei Zhang, Lei Zhang, Yunshui Li, Ziqiang Liu, Jiaxi Yang, Junhao Liu, Longze Chen, Run Luo, Min Yang. Marathon: A Race Through the Realm of Long Context with Large Language Models. The Annual Meeting of the Association for Computational Linguistics (ACL), 2024. (CCF A)
17.Yang Sun, Muyi Wang, Jianzhu Bao, Bin Liang, Xiaoyan Zhao, Caihuayang, Min Yang, Ruifeng Xu. PITA: Prompting Task Interaction for Argumentation Mining. The Annual Meeting of the Association for Computational Linguistics (ACL), 2024. (CCF A)
18.Jinchang Hou, Chang Ao, Haihong Wu, Xiangtao Kong, Zhigang Zheng, Daijia Tang, Chengming Li, Xiping Hu, Ruifeng Xu, Shiwen Ni, Min Yang. E-EVAL: A Comprehensive Chinese K-12 Education Evaluation Benchmark for Large Language Models. ACL), 2024. (Findings, CCF A)
19.Yang Sun, Guanrong Chen, Guanrong Chen, Caihua Yang, Jianzhu Bao, Bin Liang, Xi Zeng, Min Yang, Ruifeng Xu. Discourse Structure-Aware Prefix for Generation-Based End-to-End Argumentation Mining. The Annual Meeting of the Association for Computational Linguistics (ACL), 2024. (Findings, CCF A)
20.Ancheng Xu, Minghuan Tan, Lei Wang, Min Yang, Ruifeng Xu. NUMCoT: Numerals and Units of Measurement in Chain-of-Thought Reasoning using Large Language Models. The Annual Meeting of the Association for Computational Linguistics (ACL), 2024. (Findings, CCF A)
21.Chenhao Zhang, Renhao Li, Minghuan Tan, Min Yang, Jingwei Zhu, Di Yang, Jiahao Zhao, Guancheng Ye, Chengming Li, Xiping Hu. CPsyCoun: A Report-based Multi-turn Dialogue Reconstruction and Evaluation Framework for Chinese Psychological Counseling. The Annual Meeting of the Association for Computational Linguistics (ACL), 2024. (Findings, CCF A)
22.Run Luo, Zikai Song, Lintao Ma, Jinlin Wei, Wei Yang, Min Yang. DiffusionTrack: Diffusion Model for Multi-Object Tracking. Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024. (CCF A)
23.Mingshan Chang, Min Yang, Qingshan Jiang, Ruifeng Xu. Counterfactual-Enhanced Information Bottleneck for Aspect-Based Sentiment Analysis. Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024. (CCF A)
24.Shujie Li, Guanghu Yuan, Min Yang, Ying Shen, Chengming Li, Ruifeng Xu, Xiaoyan Zhao. Improving Semi-Supervised Text Classification with Dual Meta-Learning. ACM Transactions on Information Systems (TOIS), 2024. (CCF A, JCR Q1)
25.Shujie Li, Liang Li, Ruiying Geng, Min Yang, Binhua Li, Guanghu Yuan, Wanwei He, Shao Yuan, Can Ma, Fei Huang, Yongbin Li. Unifying Structured Data as Graph for Data-to-Text Pre-Training. Transactions of the Association for Computational Linguistics (TACL), 2024. (JCR Q1)
26.Xiaoyan Zhao, Min Yang, Qiang Qu, Ruifeng Xu. Few-Shot Relation Extraction with Automatically Generated Prompts. IEEE Transactions on Neural Networks and Learning Systems, 2024. (JCR Q1)
27.Xiaoyan Zhao, Yang Deng, Min Yang, Lingzhi Wang, Rui Zhang, Hong Cheng, Wei Lam, Yang Shen, Ruifeng Xu. A Comprehensive Survey on Deep Learning for Relation Extraction: Recent Advances and New Frontiers. ACM Computing Surveys (CSUR), 2024.
28.Yunshui Li, Binyuan Hui, ZhiChao Yin, Min Yang, Fei Huang and Yongbin Li. PaCE: Unified Multi-modal Dialogue Pre-training with Progressive and Compositional Experts. The Annual Meeting of the Association for Computational Linguistics (ACL), 2023. (CCF A)
29.Tianshu Yu, haoyu gao, Ting-En Lin, Min Yang, Yuchuan Wu, Wentao Ma, chao wang, Fei Huang and Yongbin Li. Speech-Text Pre-training for Spoken Dialog Understanding with Explicit Cross-Modal Alignment. The Annual Meeting of the Association for Computational Linguistics (ACL), 2023. (CCF A)
30.Minghuan Tan, Min Yang and Ruifeng Xu. Focal Training and Tagger Decouple for Grammatical Error Correction. Findings of ACL, 2023. (CCF A)
21.Yang Sun, Bin Liang, Jianzhu Bao, Yice Zhang, Geng Tu, Min Yang and Ruifeng Xu. Probing Graph Decomposition for Argument Pair Extraction. Findings of ACL, 2023. (CCF A)
32.Yunhu Ye, Binyuan Hui, Min Yang, Binhua Li, Fei Huang and Yongbin Li. Large Language Models are Versatile Decomposers: Decomposing Evidence and Questions for Table-based Reasoning. The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023. (CCF A)
33.Xiaokang Liu, Jianquan Li, Jingjing Mu, Min Yang, Ruifeng Xu, Benyou Wang. Effective Open Intent Classification with K-Center Contrastive Learning and Adjustable Decision Boundary. The AAAI Conference on Artificial Intelligence (AAAI), 2023. (CCF A)
34.Qiancheng Xu, Min Yang, Ruifeng Xu. Balanced Meta Learning and Diverse Sampling for Lifelong Task-oriented Dialogue Systems. The AAAI Conference on Artificial Intelligence (AAAI), 2023. (CCF A)
