| 2025 | AAAI | Gradient-Based Nonlinear Rehearsal Learning with Multivariate Alterations. | Tian Qin, Tian-Zuo Wang, Zhi-Hua Zhou |
| 2025 | ICML | Enabling Optimal Decisions in Rehearsal Learning under CARE Condition. | Wen-Bo Du, Hao-Yi Lei, Lue Tao, Tian-Zuo Wang, Zhi-Hua Zhou |
| 2025 | ICML | Strong and Weak Identifiability of Optimization-based Causal Discovery in Non-linear Additive Noise Models. | Mingjia Li, Hong Qian, Tian-Zuo Wang, Shujun Li, Min Zhang, Aimin Zhou |
| 2025 | ICML | Polynomial-Delay MAG Listing with Novel Locally Complete Orientation Rules. | Tian-Zuo Wang, Wen-Bo Du, Zhi-Hua Zhou |
| 2025 | IJCAI | Avoiding Undesired Future with Sequential Decisions. | Lue Tao, Tian-Zuo Wang, Yuan Jiang, Zhi-Hua Zhou |
| 2024 | ICML | An Efficient Maximal Ancestral Graph Listing Algorithm. | Tian-Zuo Wang, Wen-Bo Du, Zhi-Hua Zhou |
| 2023 | ICML | Estimating Possible Causal Effects with Latent Variables via Adjustment. | Tian-Zuo Wang, Tian Qin, Zhi-Hua Zhou |
| 2023 | SDM | Learning Causal Structure on Mixed Data with Tree-Structured Functional Models. | Tian Qin, Tian-Zuo Wang, Zhi-Hua Zhou |
| 2021 | ICML | Budgeted Heterogeneous Treatment Effect Estimation. | Tian Qin, Tian-Zuo Wang, Zhi-Hua Zhou |
| 2020 | ICML | Cost-effectively Identifying Causal Effects When Only Response Variable is Observable. | Tian-Zuo Wang, Xi-Zhu Wu, Sheng-Jun Huang, Zhi-Hua Zhou |
| 2019 | SDM | Towards Identifying Causal Relation Between Instances and Labels. | Tian-Zuo Wang, Sheng-Jun Huang, Zhi-Hua Zhou |