Tian-Zuo Wang @ LAMDA, NJU-AI

王 天 佐 Tian-Zuo Wang (T.-Z. Wang) Assistant researcher, LAMDA Group School of Artificial Intelligence National Key Laboratory for Novel Software Technology Nanjing University, Nanjing 210023, China Email: wangtz@lamda.nju.edu.cn, wangtz@nju.edu.cn Laboratory: Computer Science Building, Xianlin Campus of Nanjing University

About Me

Currently I am an assistant researcher (Yuxiu Young Scholar) in School of Artificial Intelligence at Nanjing University, and I am also a member of LAMDA Group. I obtained my Ph.D. degree from Department of Computer Science and Technology in Nanjing University, where I was very fortunate to be advised by Prof. Zhi-Hua Zhou.

Research Interests

My research interest is mainly on Machine Learning and Artificial Intelligence. More specifically, I am interested in Causality, especially on some topics regarding latent confounders.

Publication

• Rehearsal learning for avoiding undesired future.

  Tian Qin, Tian-Zuo Wang, and Zhi-Hua Zhou.

  In: Advances in Neural Information Processing Systems 36 (NeurIPS'23), New Orleans, Louisiana, 2023, to appear.

• Tracking Treatment Effect Heterogeneity in Evolving Environments.

  Tian Qin, Long-Fei Li, Tian-Zuo Wang, and Zhi-Hua Zhou.

  Machine Learning, 2023

• 基于专家知识的主动因果效应辨识.

  王天佐, 周志华.

  中国科学：信息科学, 2023.

• Sound and complete causal identification with latent variables given local background knowledge.[PDF]

  Tian-Zuo Wang, Tian Qin, and Zhi-Hua Zhou.

  Artificial Intelligence, 2023.

• Estimating possible causal effects with latent variables via adjustment.[PDF]

  Tian-Zuo Wang, Tian Qin, and Zhi-Hua Zhou.

  In: Proceedings of the 40th International Conference on Machine Learning (ICML'23), Hawaii, Honolulu, 2023.

• Learning causal structure on mixed data with tree-structured functional models.[PDF]

  Tian Qin, Tian-Zuo Wang, and Zhi-Hua Zhou.

  In: Proceedings of the 23rd SIAM International Conference on Data Mining (SDM'23), Minneapolis, Minnesota, 2023.

• Sound and complete causal identification with latent variables given local background knowledge.[PDF]

  Tian-Zuo Wang, Tian Qin, and Zhi-Hua Zhou.

  In: Advances in Neural Information Processing Systems 35 (NeurIPS'22), New Orleans, Louisiana, 2022.

• Actively identifying causal effects with latent variables given only response variable observable.[PDF]

  Tian-Zuo Wang and Zhi-Hua Zhou.

  In: Advances in Neural Information Processing Systems 34 (NeurIPS'21), Online, 2021.

• Budgeted heterogeneous treatment effect estimation.

  Tian Qin, Tian-Zuo Wang, and Zhi-Hua Zhou.

  In: Proceedings of the 38th International Conference on Machine Learning (ICML'21), Online, 2021.

• Cost-effectively identifying causal effects when only response variable is observable.[PDF][Supp][Code][Poster]

  Tian-Zuo Wang, Xi-Zhu Wu, Sheng-Jun Huang, and Zhi-Hua Zhou.

  In: Proceedings of the 37th International Conference on Machine Learning (ICML'20), Online, 2020.

• Towards identifying causal relation between instances and labels.[PDF][Code]

  Tian-Zuo Wang, Sheng-Jun Huang, and Zhi-Hua Zhou.

  In: Proceedings of the 19th SIAM International Conference on Data Mining (SDM'19), Alberta, Canada, 2019.

Teaching Assistant

1. Probability theory and mathematical statistics. (With Associate Professor Wei Gao; For Undergraduate Students, Fall, 2019)

2. Game theory. (With Assistant Researcher Wei Gao; For Undergraduate Students, Fall, 2018)

3. LAMDA Machine Learning Summer Seminar. (For New Students in LAMDA, Summer, 2018)

4. Introduction to machine learning. (With Prof. Zhi-Hua Zhou; For Undergraduate Students, Spring, 2018)

Academic Service

Reviewer for Conferences: ICML(2023,2022,2021), NeurIPS(2023,2022,2021,2020), ICLR(2023,2022,2021), UAI(2023,2022), IJCAI(2022,2021), ECAI(2020), AAAI(2023,2019), CCML(2019), PRICAI(2018)

Reviewer for Journals: 中国科学：信息科学, SCIENCE CHINA Information Sciences, Fundamental Research, TMLR, TKDD

Reviewer for Workshop: WHY 21@NeurIPS(2021)

MLA-2018 Workflow chair (Link)

Awards & Honors

1. Nanjing University Yuxiu Scholar Program (南京大学“毓秀青年学者”计划)

2. Outstanding Reviewer for ICML 2022 (top 10%)

3. Program A for Outstanding PhD candidate of Nanjing University (16 people/year)

4. National Scholarship for Doctoral Students, MOE of PRC, 2021

5. The First Class Academic Scholarship in Nanjing University, Nanjing, 2017-2022

Correspondence

Email: wangtz@lamda.nju.edu.cn, wangtz1994@gmail.com

Office: Room 910, Computer Science Building, Xianlin Campus of Nanjing University

Address: Tian-Zuo Wang, National Key Laboratory for Novel Software Technology, Nanjing University, Xianlin Campus Mailbox 603, 163 Xianlin Avenue, Qixia District, Nanjing 210023, China
(南京市栖霞区仙林大道163号, 南京大学仙林校区603信箱, 软件新技术国家重点实验室, 210023.)