國際影響力
·入選廣東省杰青
·入選第九屆中國科協(xié)青年人才托舉工程
·連續(xù)四年入選全球前2％頂尖科學(xué)家
·入選百度2022年度AI華人青年學(xué)者榜單
·多次擔(dān)任ACL、NeurIPS、EMNLP、COLING、NAACL等自然語言處理頂級會議的（高級）領(lǐng)域主席
·擔(dān)任中國中文信息學(xué)會青年工作委員會副主任
·擔(dān)任深圳市人工智能學(xué)會法律人工智能專業(yè)委員會主任等。
所獲榮譽(yù)
獲得2024年度CCF自然語言處理專委會“青年新銳獎”、2024年廣東省電子信息科學(xué)技術(shù)獎-青年科技創(chuàng)新獎、2023年重慶市自然科學(xué)二等獎、2022年深圳人工智能自然科學(xué)獎、2023及2024年度阿里巴巴優(yōu)秀學(xué)術(shù)合作項目等、2019年度CCF-騰訊犀牛鳥基金優(yōu)秀專利獎（僅2項）、2019年全國青年人工智能創(chuàng)新創(chuàng)業(yè)大賽一等獎、2018年中國人工智能學(xué)會最佳青年科技成果獎等。
科研成果
代表性論文：
1.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)
2.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)
3.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)
4.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)
5.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)
6.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)
7.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)
8.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)
9.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)
10.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)
11.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)
12.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)
13.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)
14.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)
15.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)
16.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)
17.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)
18.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.
19.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)
20.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)
21.Minghuan Tan,Min Yangand Ruifeng Xu. Focal Training and Tagger Decouple for Grammatical Error Correction. Findings of ACL, 2023. (CCF A)
22.Yang Sun, Bin Liang, Jianzhu Bao, Yice Zhang, Geng Tu,Min Yangand Ruifeng Xu. Probing Graph Decomposition for Argument Pair Extraction. Findings of ACL, 2023. (CCF A)
23.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)
24.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)
25.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)
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