国际影响力
· 入选广东省杰青
· 入选第九届中国科协青年人才托举工程
· 连续四年入选全球前2％顶尖科学家
· 入选百度2022年度AI华人青年学者榜单
· 多次担任ACL、NeurIPS、EMNLP、COLING、NAACL等自然语言处理顶级会议的（高级）领域主席
· 担任中国中文信息学会青年工作委员会副主任
· 担任深圳市人工智能学会法律人工智能专业委员会主任等。
学术成果
长期从事人工智能、自然语言处理、大模型相关研究并取得了一系列广受关注的研究成果。在CCF A/B类国际顶会顶刊上发表论文100余篇，代表性成果发表于ACL、ICML、NeurIPS、AAAI、SIGIR、EMNLP等国际顶级学术会议，以及TKDE、TOIS、TACL等高水平国际期刊。相关研究成果获得了学术界的广泛关注。截至目前，谷歌学术总引用次数超过17000次，H指数为66。
知识引导的自进化大模型：着重研究大模型（大语言模型、多模态大模型、代码大模型）在持续学习、自适应知识注入与更新、幻觉效应抑制、大模型自进化等方面的核心问题，提升大语言模型在处理新任务和适应新环境时的表现，增强其自适应性和可靠性，使其在复杂多变的实际应用场景中仍能保持高效和可靠的性能。
得理智能法律平台：与深圳得理科技有限公司合作研发的法律知识图谱及得理法律大模型，已成功应用于智能法律咨询、智能案例检索、智能类案匹配、智能文书生成、智能合同审查等多个系统。这些系统极大地满足了市场需求，已服务超过17万名法律专业人士，显著提升了法律服务的效率与智能化水平。
自主生物知识发现：深入分析海量跨学科数据，学习隐藏的模式和规律，从而构建知识驱动的科学大模型，结合多智能体及工具学习技术，自主进行科学假设的提出、实验设计、模式识别、理论推导及验证，形成从理论到实验验证的完整研究闭环，有望显著加速基础研究的实际应用转化，提高科研成果的转化效率
所获荣誉
入选中国科学院青年创新促进会成员、第九届中国科协青年人才托举工程，连续五年入选全球前2％顶尖科学家（2022-2026），入选2025年全球人工智能女性人才榜TOP50、2025年中国人工智能人才榜TOP100、2023年百度AI华人女性青年学者榜单（全球共80人）、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。
荣获中国图象图形学学会自然科学奖一等奖、CCF自然语言处理专委会“青年新锐奖”、广东省电子信息科学技术奖-青年科技创新奖、重庆市自然科学二等奖、深圳人工智能自然科学奖、阿里巴巴优秀学术合作项目、CCF-腾讯犀牛鸟基金优秀专利奖、全国青年人工智能创新创业大赛一等奖、中国人工智能学会最佳青年科技成果奖等。
科研成果
[1] Jiaming Li, Haoran Ye, Yukun Chen, Xinyue Li, Lei Zhang, Hamid Alinejad-Rokny, Jimmy Chih-Hsien Peng, Min Yang. Breaking the Block: Preserving Data Continuity to Train Superior SAEs for Instruct Models. Forty-third International Conference on Machine Learning (ICML), 2026. (CCF A)
[2] Jiaming Li, Longze Chen, Ze Gong, Yukun Chen, Lu Wang, Wanwei He, Run Luo, Minzheng Wang, Lei Zhang, Haoran Ye, Min Yang. Implicit Actor Critic Coupling via a Supervised Learning Framework for RLVR. Forty-third International Conference on Machine Learning (ICML), 2026. (CCF A)
[3] Yukun Chen, Jiaming Li, Longze Chen, Ze Gong, Jingpeng Li, Zhen Qin, Hengyu Chang, Lei Zhang, Ancheng Xu, Zhihao Yang, Hamid Alinejad-Rokny, Qiang Qu, Bo Zheng, Min Yang. RuCL: Stratified Rubric-Based Curriculum Learning for Multimodal Large Language Model Reasoning. Forty-third International Conference on Machine Learning (ICML), 2026. (CCF A)
[4] Run Luo, Xiaobo Xia, Lu Wang, Longze Chen, Renke Shan, Jing Luo, Min Yang, Tat-Seng Chua. NExT-OMNI: Towards Any-to-Any Omnimodal Foundation Models with Discrete Flow Matching. The Fourteenth International Conference on Learning Representations (ICLR), 2026. (CCF A)
[5] Longze Chen, Lu Wang, Renke Shan, Ze Gong, Run Luo, Jiaming Li, Jing Luo, Qiyao Wang, Min Yang. Learning Ordinal Probabilistic Reward from Preferences. The Fourteenth International Conference on Learning Representations (ICLR), 2026. (CCF A)
[6] Jiahao Zhao, Feng Jiang, Shaowei Qin, Zhonghui Zhang, Junhao Liu, Guibing Guo, Hamid Alinejad-Rokny, Min Yang. SC-Arena: A Natural Language Benchmark for Single-Cell Reasoning with Knowledge-Augmented Evaluation. The Fourteenth International Conference on Learning Representations (ICLR), 2026. (CCF A)
[7] Xin Chen, Junchao Wu, Shu Yang, Runzhe Zhan, Zeyu Wu, Min Yang, Shujian Huang, Lidia S. Chao, Derek F. Wong. Neuron-Aware Data Selection in Instruction Tuning for Large Language Models. The Fourteenth International Conference on Learning Representations (ICLR), 2026. (CCF A)
[8] Feiteng Fang, Dingwei Chen, Xiang Huang, Ting-En Lin, Yuchuan Wu, Xiong Liu, Jing Ye, Ziqiang Liu, Haonan Zhang, Liang Zhu, Hamid Alinejad-Rokny, Min Yang, Yongbin Li. Act-Adaptive Margin: Dynamically Calibrating Reward Models for Subjective Ambiguity. The Annual Meeting of the Association for Computational Linguistics (ACL), 2026. (CCF-A)
[9] Xin Chen, Feng Jiang, Yiqian Zhang, Hardy Chen, Shuo Yan, Wenya Xie, Min Yang, Shujian Huang. Reasoning While Asking: Transforming Reasoning Large Language Models from Passive Solvers to Proactive Inquirers. The Annual Meeting of the Association for Computational Linguistics (ACL), 2026. (CCF-A)
[10] Qiancheng Xu, Yongqi Li, Fan Liu, Hongru Wang, Min Yang, Wenjie Li. TInR: Exploring Tool-Internalized Reasoning in Large Language Models. The Annual Meeting of the Association for Computational Linguistics (ACL), 2026. (CCF-A)
[11] Shuaimin Li, Liyang Fan, Zeyang Li, Zhuoyue Wan, Yufang Lin, Shiwen Ni, Feiteng Fang, Hamid Alinejad-Rokny, Yuanfeng Song, Kun Jing, Chen Jason Zhang, Min Yang. SrDetection: A Self-Referential Framework for Data Leakage Detection in Code Large Language Models. The Annual Meeting of the Association for Computational Linguistics (ACL), 2026. (Findings, CCF-A)
[12] Renhao Li, Jianhong Tu, Yang Su, Yantao Liu, Fei Huang, Hamid Alinejad-Rokny, Derek F. Wong, Junyang Lin, Min Yang. ToolRM: Towards Agentic Tool-Use Reward Modeling. The Annual Meeting of the Association for Computational Linguistics (ACL), 2026. (Findings, CCF-A)
[13] Guhong Chen, Chenghao Sun, Cheng Fu, Qiyao Wang, Zhihong Huang, ChaoPeng Wei, Guangxu Chen, Feiteng Fang, Ahmadreza Argha, Bing Zhao, Xander Xu, Qi Han, Hamid Alinejad-Rokny, Qiang Qu, Binhua Li, Shiwen Ni, Min Yang, Hu Wei, Yongbin Li. Beyond Quantity: Trajectory Diversity Scaling for Code Agents. The Annual Meeting of the Association for Computational Linguistics (ACL), 2026. (Findings, CCF-A)
[14] Qiyao Wang, Guhong Chen, Hongbo Wang, Huaren Liu, Minghui Zhu, Zhifei Qin, Li Linwei, Yilin Yue, Shiqiang Wang, Jiayan Li, Wu Yihang, Ziqiang Liu, Longze Chen, Run Luo, Liyang Fan, Jiaming Li, Lei Zhang, Kan Xu, Hamid Alinejad-Rokny, Chengming Li, Shiwen Ni, Yuan Lin, Min Yang. Towards IP Intelligence: Benchmarking Large Language Models on Intellectual Property Knowledge and Practice. The Annual Meeting of the Association for Computational Linguistics (ACL), 2026. (Findings, CCF-A)
[15] Siyi Li, Jiajun Shi, Shiwen Ni, Ge Zhang, Shuaimin Li, Shijian Wang, Zhoufutu Wen, Yizhi Li, Hamid Alinejad-Rokny, Jiaheng Liu, Min Yang, Wenhao Huang. CoTJudger: A Graph-Driven Framework for Automatic Evaluation of Chain-of-Thought Efficiency and Redundancy in LRMs. The Annual Meeting of the Association for Computational Linguistics (ACL), 2026. (Findings, CCF-A)
[16] Ruijun Huang, Zhiqiao Kang, Yuxuan Zhu, Junxiong Li, Jiahao Zhao, Minghuan Tan, Feng Jiang, Min Yang. MeasHalu: Mitigation of Scientific Measurement Hallucinations for Large Language Models with Enhanced Reasoning. The Annual Meeting of the Association for Computational Linguistics (ACL), 2026. (Findings, CCF-A)
[17] Ancheng Xu, Zhihao Yang, Jingpeng Li, Guanghu Yuan, Longze Chen, Liang Yan, Jiehui Zhou, Zhen Qin, Hengyu Chang, Yukun Chen, Hamid Alinejad-Rokny, Min Yang. EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection. The 49th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2026. (CCF-A)
[18] Zhonghui Zhang, Feng Jiang, Shaowei Qin, Jiahao Zhao, Min Yang. GATHER: Convergence-Centric Hyper-Entity Retrieval for Zero-Shot Cell-Type Annotation. The 49th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2026. (CCF-A)
[19] Xiaojun Chen, Sixiao Luo, Ziqi Liu, Min Yang, Qin Zhang, Liang-Jie Zhang. ChartR: Evaluating Reasoning Accuracy and Robustness in Chart Question Answering. The Conference on Computer Vision and Pattern Recognition (CVPR), 2026. (CCF-A)
[20] 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)
[21] 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)
[22] 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)
[23] 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)
[24] 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)
[25] 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)
[26] 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)
[27] 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)
[28] 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)
[29] 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)
[30] 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)
