Tao, Lue

11 publications

IJCAI 2025 Avoiding Undesired Future with Sequential Decisions Lue Tao, Tian-Zuo Wang, Yuan Jiang, Zhi-Hua Zhou

ICML 2025 Enabling Optimal Decisions in Rehearsal Learning Under CARE Condition Wen-Bo Du, Hao-Yi Lei, Lue Tao, Tian-Zuo Wang, Zhi-Hua Zhou

AAAI 2024 Deciphering Raw Data in Neuro-Symbolic Learning with Provable Guarantees Lue Tao, Yu-Xuan Huang, Wang-Zhou Dai, Yuan Jiang

ICLR 2024 On the Vulnerability of Adversarially Trained Models Against Two-Faced Attacks Shengjie Zhou, Lue Tao, Yuzhou Cao, Tao Xiang, Bo An, Lei Feng

NeurIPS 2022 Can Adversarial Training Be Manipulated by Non-Robust Features? Lue Tao, Lei Feng, Hongxin Wei, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen

ICML 2022 Open-Sampling: Exploring Out-of-Distribution Data for Re-Balancing Long-Tailed Datasets Hongxin Wei, Lue Tao, Renchunzi Xie, Lei Feng, Bo An

AAAI 2022 With False Friends like These, Who Can Notice Mistakes? Lue Tao, Lei Feng, Jinfeng Yi, Songcan Chen

NeurIPS 2021 Better Safe than Sorry: Preventing Delusive Adversaries with Adversarial Training Lue Tao, Lei Feng, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen

AAAI 2021 Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries Kun-Peng Ning, Lue Tao, Songcan Chen, Sheng-Jun Huang

NeurIPS 2021 Open-Set Label Noise Can Improve Robustness Against Inherent Label Noise Hongxin Wei, Lue Tao, Renchunzi Xie, Bo An

ICML 2020 Accelerated Stochastic Gradient-Free and Projection-Free Methods Feihu Huang, Lue Tao, Songcan Chen