Dr. Zaiqing Nie is a Named Professor at Tsinghua University and Principal Researcher of AIR. He is also the Director of the Big Data Intelligence Lab at AIR, where he conducts research and leads projects related to AI and Big Data analytics. In addition to his academic roles, Dr. Nie is the founder and chief scientist of Pharmolix Inc., a global provider of foundation models for the biopharmaceutical industry. This indicates his expertise in applying AI and big data techniques to the field of biopharmaceutical research.
Email: zaiqing@air.tsinghua.edu.cn
Education:
· Ph.D. in Computer Science (2004) Arizona State University, Tempe, USA
· M.E. in Computer Applications (1998) Tsinghua University, Beijing, China
· B.E. in Computer Science and Technology (1996) Tsinghua University, Beijing, China
Dr. Nie obtained his doctoral degree from Arizona State University in 2004, under the guidance of Subbarao Kambhampati, a well-known expert in AI and previous president of the Association for the Advancement of Artificial Intelligence (AAAI). Before pursuing his doctoral studies in the United States, Dr. Nie completed his undergraduate education at Tsinghua University, majoring in Computer Science and Technology.
Professional Experience and Research Projects:
· Dec. 2020 to Present, Named Professor and Principal Investigator, Tsinghua University
· October 2017 to Dec. 2020, Senior Director, Alibaba Group
· Sept. 2004 to Sept. 2017, Principal Researcher, Microsoft Research Asia
In 2017, Dr. Nie joined Alibaba Group, a multinational conglomerate specializing in e-commerce, technology, and AI. He served as the head of Alibaba AI Lab in Beijing and the chief scientist of Tmall Genie, which is Alibaba's Chinese version of the popular voice assistant, Alexa. Additionally, he was a member of the AI Expert Panel under the Ministry of Education, contributing to the development and governance of AI technologies in China.
Prior to his tenure at Alibaba, Dr. Nie worked at Microsoft Research as a Principal Researcher. During his time there, he led the Big Data Mining group and made significant contributions to various projects. Notably, he played a pivotal role in the development of Microsoft Academic Search, a platform for academic research discovery. He also contributed to the creation of EntityCube, an entity search engine, and served as the technological head of LUIS (Language Understanding Intelligent Service), Microsoft's platform for natural language understanding.
Overall, Dr. Zaiqing Nie has an impressive background in AI and big data research, with extensive experience in academia and industry. His contributions to the development of AI technologies and applications have had a significant impact, particularly in the fields of biopharmaceuticals, academic research, and natural language understanding.
Publications (selected):
1. Yizhen Luo, Jiahuan Zhang, Siqi Fan, Kai Yang, Yushuai Wu, Mu Qiao, Zaiqing Nie*. BioMedGPT: Open Multimodal Generative Pre-trained Transformer for BioMedicine. arXiv: 2308.09442(2023)
2. 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)
3. Yuanjian Xu, Qi An, Jiahuan Zhang, Peng Li, Zaiqing Nie*. Hard Sample Aware Prompt-Tuning. ACL (1) 2023
4. 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
5. 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.
6. 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
7. Pengwei Wang &, Liangchen Wei, Yong Cao, Jinghui Xie, Zaiqing Nie*. Large-Scale Unsupervised Pre-Training for End-to-End Spoken Language Understanding. ICASSP 2020.
8. Liangchen Luo, Wenhao Huang, Qi Zeng, Zaiqing Nie*, Xu Sun. Learning Personalized End-to-End Goal-Oriented Dialog. AAAI 2019.
9. Xuang Luo &, Zijia Lin, Yunhong Wang, Zaiqing Nie*. CoChat: Enabling Bot and Human Collaboration for Task Completion. AAAI 2018.
10. Zexuan Zhong, Yong Cao, Mu Guo, Zaiqing Nie*. CoLink: An Unsupervised Framework for User Identity Linkage. AAAI 2018.
11. 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.
12. Zhiting Hu &Gang Luo, Mrinmaya Sachan, Eric P. Xing, Zaiqing Nie*. Grounding Topic Models with Knowledge Bases. In the Proceedings of IJCAI 2016.
13. Gang Luo, Xiaojiang Huang, Chin-Yew Lin, Zaiqing Nie*. Joint Entity Recognition and Disambiguation. In the Proceedings of EMNLP 2015.
14. Lin Qiu, Yong Cao, Zaiqing Nie*, Yong Yu, Yong Rui. Learning Word Representation Considering Proximity and Ambiguity. In the proceedings of AAAI2014.
15. Zaiqing Nie*, Ji-Rong Wen, Wei-Ying Ma. Statistical Entity Extraction from Web. In the Proceedings of the IEEE, Septemeber, 2012.
16. Xiaojiang Liu &, Zaiqing Nie*, Nenghai Yu, Ji-Rong Wen. BioSnowball: Automated Population of Wikis. In the Proceedings of SIGKDD 2010.
17. 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.
18. 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).
19. Jongwuk Lee &, Seung-won Hwang, Zaiqing Nie*, Ji-Rong Wen. Query Result Clustering for Object-level Search. In the Proceedings of SIGKDD 2009.
20. 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.
21. 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).
22. 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.
23. 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).
24. Zaiqing Nie*, Ji-Rong Wen, Wei-Ying Ma. Object-Level Vertical Search. In the Third Biennial Conference on Innovative Data Systems Research (CIDR 2007).
25. 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.
26. 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).
27. 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.
