| 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 | IJCAI | Avoiding Undesired Future with Sequential Decisions. | Lue Tao, Tian-Zuo Wang, Yuan Jiang, Zhi-Hua Zhou |
| 2024 | AAAI | Deciphering Raw Data in Neuro-Symbolic Learning with Provable Guarantees. | Lue Tao, Yu-Xuan Huang, Wang-Zhou Dai, Yuan Jiang |
| 2024 | ICLR | On the Vulnerability of Adversarially Trained Models Against Two-faced Attacks. | Shengjie Zhou, Lue Tao, Yuzhou Cao, Tao Xiang, Bo An, Lei Feng |
| 2022 | AAAI | With False Friends Like These, Who Can Notice Mistakes? | Lue Tao, Lei Feng, Jinfeng Yi, Songcan Chen |
| 2022 | ICML | Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets. | Hongxin Wei, Lue Tao, Renchunzi Xie, Lei Feng, Bo An |
| 2021 | AAAI | Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries. | Kun-Peng Ning, Lue Tao, Songcan Chen, Sheng-Jun Huang |
| 2021 | KDD | Multiple-Instance Learning from Similar and Dissimilar Bags. | Lei Feng, Senlin Shu, Yuzhou Cao, Lue Tao, Hongxin Wei, Tao Xiang, Bo An, Gang Niu |
| 2020 | ICML | Accelerated Stochastic Gradient-free and Projection-free Methods. | Feihu Huang, Lue Tao, Songcan Chen |