聂再清，现任清华大学国强教授、智能产业研究院首席研究员。2004年获得美国亚利桑那州立大学博士学位，师从美国人工智能学会前主席Subbarao Kambhampati教授，本科和硕士毕业于清华大学计算机科学与技术系。2017年加入阿里巴巴，任阿里巴巴人工智能实验室北京负责人和阿里巴巴天猫精灵首席科学家。此前就职于微软亚洲研究院，任首席研究员。聂再清博士发表学术论文50余篇，申请了近30项专利，已经授权的有5项全球专利、18项美国专利、和1项中国专利。聂再清博士是微软学术搜索和人立方的发起人和负责人，也是微软自然语言理解平台LUIS的技术负责人。发明的知识图谱相关技术（包括实体信息挖掘、关系抽取技术、和实体名消歧技术）、对象级别的信息搜索技术、语音语义一体化理解技术等，被广泛应用于互联网搜索引擎、聊天机器人、以及智能助手等领域。引领了业内大数据驱动的知识图谱（knowledge graph）挖掘和应用相关技术的创新，在微软期间被授予Microsoft Golden Star奖。在阿里巴巴集团达摩院期间，聂再清博士作为天猫精灵首席科学家，带领团队从无到有实现天猫精灵的所有相关算法研发和创新工作，把人工智能最前沿技术真正落地到千家万户，为千万家庭带来欢乐和陪伴。2019年他所带领的团队获得吴文俊人工智能科技进步奖。
邮箱地址：
zaiqing@air.tsinghua.edu.cn
教育经历：
1999-2004美国亚利桑那州立大学计算机科学博士
1996-1998清华大学计算机应用硕士
1991-1996清华大学计算机科学与技术学士
工作经历：
2020-至今清华大学智能产业研究院 首席研究员
2017-2020阿里巴巴集团 天猫精灵首席科学家、达摩院AI Labs北京研发中心负责人
2004-2017微软亚洲研究院 从副研究员起历任主管/高级研究员、首席研究员
研究领域：
大数据，知识图谱相关技术（包括实体信息挖掘、关系抽取技术、和实体名消歧技术）、对象级别的信息搜索技术、语音语义一体化理解。
近期论文著作摘选：
1. Yizhen Luo, Zikun Nie, Massimo Hong, Suyuan Zhao, Hao Zhou, Zaiqing Nie: MutaPLM: Protein Language Modeling for Mutation Explanation and Engineering. NeurIPS 2024.
2. Suyuan Zhao, Jiahuan Zhang, Yushuai Wu, Yizhen Luo, Zaiqing Nie: LangCell: Language-Cell Pre-training for Cell Identity Understanding. ICML 2024
3. Junwei Yang, Kangjie Zheng, Siyu Long, Zaiqing Nie, Ming Zhang, Xinyu Dai, Wei-Ying Ma, Hao Zhou: Mol-AE: Auto-Encoder Based Molecular Representation Learning With 3D Cloze Test Objective. ICML 2024
4. Kangjie Zheng, Siyu Long, Tianyu Lu, Junwei Yang, Xinyu Dai, Ming Zhang, Zaiqing Nie, Wei-Ying Ma, Hao Zhou: ESM All-Atom: Multi-Scale Protein Language Model for Unified Molecular Modeling. ICML 2024
5. Yizhen Luo, Kai Yang, Massimo Hong, Xing Yi Liu, Zikun Nie, Hao Zhou, Zaiqing Nie: Learning Multi-view Molecular Representations with Structured and Unstructured Knowledge. KDD 2024: 2082-2093
6. Yizhen Luo; Jiahuan Zhang; Siqi Fan; Kai Yang; Massimo Hong; Yushuai Wu, Mu Qiao, Zaiqing Nie: BioMedGPT: An Open Multimodal Large Language Model for BioMedicine. Journal of Biomedical and Health Informatics. Nov. 2024.
7. Kai Yang; Massimo Hong，Jiahuan Zhang，Yizhen Luo， Yuan Su，Ou Zhang，Xiaomao Yu, Jiawen Zhou, Liuqing Yang, Mu Qiao, Ping Zhang, Zaiqing Nie: ECG-LM: Understanding Electrocardiogram with Large Language Model. Health Data Science, December 2024.
8. Yizhen Luo, Xing Yi Liu, Kai Yang, Kui Huang, Massimo Hong, Jiahuan Zhang, Yushuai Wu, Zaiqing Nie*. Toward Unified AI Drug Discovery with Multimodal Knowledge. Heath Data Science. (To appear, 2024)
9. Yuanjian Xu, Qi An, Jiahuan Zhang, Peng Li, Zaiqing Nie*. Hard Sample Aware Prompt-Tuning. ACL (1) 2023
10. Haibao Yu, Wenxian Yang, Hongzhi Ruan, Zhenwei Yang, Yingjuan Tang, Xu Gao, Xin Hao, Yifeng Shi, Yifeng Pan, Ning Sun, Juan Song, Jirui Yuan, Ping Luo, Zaiqing Nie*.
V2X-Seq: A Large-Scale Sequential Dataset for Vehicle-Infrastructure Cooperative Perception and Forecasting. CVPR 2023: 5486-5495
11. Haibao Yu, Yingjuan Tang, Enze Xie, Jilei Mao, Jirui Yuan, Ping Luo, Zaiqing Nie*. Flow-Based Feature Fusion for Vehicle-Infrastructure Cooperative 3D Object Detection. NeurIPs 2023.
12. Haibao Yu, Yizhen Luo, Mao Shu, Yiyi Huo, Zebang Yang, Yifeng Shi, Zhenglong Guo, Hanyu Li, Xing Hu, Jirui Yuan, Zaiqing Nie*. DAIR-V2X: A Large-Scale Dataset for Vehicle-Infrastructure Cooperative 3D Object Detection. CVPR 2022: 21329-21338
13. Pengwei Wang &, Liangchen Wei, Yong Cao, Jinghui Xie, Zaiqing Nie*. Large-Scale Unsupervised Pre-Training for End-to-End Spoken Language Understanding. ICASSP 2020.
14. Liangchen Luo, Wenhao Huang, Qi Zeng, Zaiqing Nie*, Xu Sun. Learning Personalized End-to-End Goal-Oriented Dialog. AAAI 2019.
15. Xuang Luo &, Zijia Lin, Yunhong Wang, Zaiqing Nie*. CoChat: Enabling Bot and Human Collaboration for Task Completion. AAAI 2018.
16. Zexuan Zhong, Yong Cao, Mu Guo, Zaiqing Nie*. CoLink: An Unsupervised Framework for User Identity Linkage. AAAI 2018.
17. Jingwei Zhuo, Yong Cao, Jun Zhu, Bo Zhang, Zaiqing Nie*. Segment-Level Sequence Modeling using Gated Recursive Semi-Markov Conditional Random Fields. In the Proceedings of ACL 2016.
18. Zhiting Hu &Gang Luo, Mrinmaya Sachan, Eric P. Xing, Zaiqing Nie*. Grounding Topic Models with Knowledge Bases. In the Proceedings of IJCAI 2016.
19. Gang Luo, Xiaojiang Huang, Chin-Yew Lin, Zaiqing Nie*. Joint Entity Recognition and Disambiguation. In the Proceedings of EMNLP 2015.
20. Lin Qiu, Yong Cao, Zaiqing Nie*, Yong Yu, Yong Rui. Learning Word Representation Considering Proximity and Ambiguity. In the proceedings of AAAI2014.
21. Zaiqing Nie*, Ji-Rong Wen, Wei-Ying Ma. Statistical Entity Extraction from Web. In the Proceedings of the IEEE, Septemeber, 2012.
22. Xiaojiang Liu &, Zaiqing Nie*, Nenghai Yu, Ji-Rong Wen. BioSnowball: Automated Population of Wikis. In the Proceedings of SIGKDD 2010.
23. Chunyu Yang &, Yong Cao, Zaiqing Nie*, Jie Zhou, Ji-Rong Wen. Closing the Loop in Webpage Understanding. In IEEE Transactions on Knowledge and Data Engineering (TKDE). 2010.
24. Jun Zhu, Zaiqing Nie, Xiaojiang Liu, Bo Zhang, Ji-Rong Wen. StatSnowball: a Statistical Approach to Extracting Entity Relationships. In the Proceedings of the 18th international World Wide Web conference (WWW 2009).
25. Jongwuk Lee &, Seung-won Hwang, Zaiqing Nie*, Ji-Rong Wen. Query Result Clustering for Object-level Search. In the Proceedings of SIGKDD 2009.
26. Zaiqing Nie*, Ji-Rong Wen, and Wei-Ying Ma. WebPage Understanding: Beyond Page-Level Search. SIGMOD Record, December 2008 (Vol. 37, No. 4). Special Issue on Managing Information Extraction.
27. Huajing Li &, Zaiqing Nie*, Wang-Chien Lee, C. Lee Giles, and Ji-Rong Wen. Scalable Community Discovery on Textual Data with Relations. CIKM 2008 (1203-1212).
28. Jun Zhu, Zaiqing Nie*, Bo Zhang, Ji-Rong Wen. Dynamic Hierarchical Markov Random Fields for Integrated Web Data Extraction. In the Journal of Machine Learning Research (JMLR), 9(Jul):1583--1614, 2008.
29. Zaiqing Nie*, Yunxiao Ma, Shuming Shi, Ji-Rong Wen, Wei-Ying Ma. Web Object Retrieval. To appear in the Proceedings of the 16th international World Wide Web conference (WWW 2007).
30. Zaiqing Nie*, Ji-Rong Wen, Wei-Ying Ma. Object-Level Vertical Search. In the Third Biennial Conference on Innovative Data Systems Research (CIDR 2007).
31. Jun Zhu, Zaiqing Nie*, Ji-Rong Wen, Bo Zhang, Wei-Ying Ma. Simultaneous Record Detection and Attribute Labeling in Web Data Extraction. In Proceedings of SIGKDD 2006.
32. Jun Zhu, Zaiqing Nie*, Ji-Rong Wen, Bo Zhang, Wei-Ying Ma. 2D Conditional Random Fields forWeb Information Extraction. In the 22nd International Conference on Machine Learning (ICML 2005).
33. Zaiqing Nie*, Yuanzhi Zhang, Ji-Rong Wen, and Wei-Ying Ma. Object-Level Ranking: Bringing Order to Web Objects. In Proceedings of WWW 2005, May 10-14, 2005, in Chiba, Japan.
