陶略 Lue Tao Ph.D. Candidate, LAMDA Group School of Artificial Intelligence National Key Laboratory for Novel Software Technology Nanjing University, Nanjing 210023, China Email: taol [at] lamda.nju.edu.cn

About Me

Currently, I am a Ph.D. student of School of Artificial Intelligence in Nanjing University and a member of LAMDA Group under the supervision of Prof. Yuan Jiang and Prof. Zhi-Hua Zhou. I received my B.Sc. degree in computer science in 2019 from Nanjing University of Aeronautics and Astronautics, where I entered the Gong-Yan Class (2015), an honors program for gifted students. In 2022, I received my M.Sc. degree in computer science from Nanjing University of Aeronautics and Astronautics, where I was very fortunate to be advised by Prof. Songcan Chen. In the same year, I was admitted to pursue Ph.D. degree in Nanjing University.

Research Interests

My research interests include topics in machine learning and data mining. More recently, I am interested in the following topic:

• Rehearsal: learning from prediction to decision

Recent Publications

• On Measuring Influence in Avoiding Undesired Future. [paper]
  Lue Tao, Tian-Zuo Wang, Yuan Jiang, and Zhi-Hua Zhou.
  In: Proceedings of the 14th International Conference on Learning Representations (ICLR'26), 2026.
  

• Estimating Possible Causal Effects with Latent Variables via Adjustment and Novel Rule Orientation. [paper]
  Tian-Zuo Wang, Lue Tao, Tian Qin, and Zhi-Hua Zhou.
  Artificial Intelligence, 347:104387, 2025.
  

• Enabling Optimal Decisions in Rehearsal Learning under CARE Condition. [paper]
  Wen-Bo Du, Hao-Yi Lei, Lue Tao, Tian-Zuo Wang, and Zhi-Hua Zhou.
  In: Proceedings of the 42nd International Conference on Machine Learning (ICML'25), pp. 14536-14561, 2025.
  

• Avoiding Undesired Future with Sequential Decisions. [paper]
  Lue Tao, Tian-Zuo Wang, Yuan Jiang, and Zhi-Hua Zhou.
  In: Proceedings of the 34th International Joint Conference on Artificial Intelligence (IJCAI'25), pp. 6245-6253, 2025.
  

• Deciphering Raw Data in Neuro-Symbolic Learning with Provable Guarantees. [paper]
  Lue Tao, Yu-Xuan Huang, Wang-Zhou Dai, and Yuan Jiang.
  In: Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI'24), pp. 15310-15318, 2024.
  

[Full Publications] [Google Scholar]

Academic Service

• Reviewer for Conferences: ICML'21, NeurIPS'21, ICLR'22, IJCAI'22, ICML'22, NeurIPS'22, ICLR'23, IJCAI'23, ICML'23, UAI'23, NeurIPS'23, ICLR'24, IJCAI'24, ICML'24, UAI'24, NeurIPS'24, AAAI'25, AISTATS'25, ICLR'25, IJCAI'25, ICML'25, UAI'25, NeurIPS'25, AAAI'26, AISTATS'26, ICLR'26, IJCAI'26, ICML'26, etc.
• Reviewer for Journals: TPAMI, FCS, TNNLS, TMLR.

Awards & Honors

• AAAI Student Scholarship, 2022

• National Scholarship for Undergraduates, 2018

• Grand Prize (rank: 1/4127), 7th "China Software Cup" Software Design Competition, 2018

Correspondence

Email: taol [at] lamda.nju.edu.cn
Office: Room 912, Computer Science Building, Xianlin Campus of Nanjing University
Address: National Key Laboratory for Novel Software Technology, Nanjing University, Xianlin Campus Mailbox 603, 163 Xianlin Avenue, Qixia District, Nanjing 210023, China
(In Chinese: 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)