Lue Tao

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 24

Top Topics

Reinforcement Learning

Semantically Relevant

Stochastic Gradient

Top Venues

Publications

Tian-Zuo Wang, Lue Tao, Zhi-Hua Zhou
New Rules for Causal Identification with Background Knowledge. CoRR (2024)
Lue Tao, Yu-Xuan Huang, Wang-Zhou Dai, Yuan Jiang
Deciphering Raw Data in Neuro-Symbolic Learning with Provable Guarantees. AAAI (2024)
Shengjie Zhou, Lue Tao, Yuzhou Cao, Tao Xiang, Bo An, Lei Feng
On the Vulnerability of Adversarially Trained Models Against Two-faced Attacks. ICLR (2024)
Lue Tao, Yu-Xuan Huang, Wang-Zhou Dai, Yuan Jiang
Deciphering Raw Data in Neuro-Symbolic Learning with Provable Guarantees. CoRR (2023)
Lei Feng, Senlin Shu, Yuzhou Cao, Lue Tao, Hongxin Wei, Tao Xiang, Bo An, Gang Niu
Multiple-Instance Learning From Unlabeled Bags With Pairwise Similarity. IEEE Trans. Knowl. Data Eng. 35 (11) (2023)
Lue Tao, Yun Dong, Weihua Chen, Yang Yang, Lijie Su, Qingxin Guo, Gongshu Wang
A differential evolution with reinforcement learning for multi-objective assembly line feeding problem. Comput. Ind. Eng. 174 (2022)
Hongxin Wei, Lue Tao, Renchunzi Xie, Lei Feng, Bo An
Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets. CoRR (2022)
Lue Tao, Lei Feng, Hongxin Wei, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen
Can Adversarial Training Be Manipulated By Non-Robust Features? CoRR (2022)
Hongxin Wei, Lue Tao, Renchunzi Xie, Lei Feng, Bo An
Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets. ICML (2022)
Lue Tao, Lei Feng, Hongxin Wei, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen
Can Adversarial Training Be Manipulated By Non-Robust Features? NeurIPS (2022)
Lue Tao, Lei Feng, Jinfeng Yi, Songcan Chen
With False Friends Like These, Who Can Notice Mistakes? AAAI (2022)
Lue Tao, Weihua Chen, Gongshu Wang, Lijie Su, Yang Yang, Yun Dong
. CASE (2022)
Lue Tao, Lei Feng, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen
Provable Defense Against Delusive Poisoning. CoRR (2021)
Lei Feng, Senlin Shu, Yuzhou Cao, Lue Tao, Hongxin Wei, Tao Xiang, Bo An, Gang Niu
Multiple-Instance Learning from Similar and Dissimilar Bags. KDD (2021)
Kun-Peng Ning, Lue Tao, Songcan Chen, Sheng-Jun Huang
Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries. CoRR (2021)
Kun-Peng Ning, Lue Tao, Songcan Chen, Sheng-Jun Huang
Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries. AAAI (2021)
Hongxin Wei, Lue Tao, Renchunzi Xie, Bo An
Open-set Label Noise Can Improve Robustness Against Inherent Label Noise. CoRR (2021)
Lue Tao, Lei Feng, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen
Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training. NeurIPS (2021)
Hongxin Wei, Lue Tao, Renchunzi Xie, Bo An
Open-set Label Noise Can Improve Robustness Against Inherent Label Noise. NeurIPS (2021)
Feihu Huang, Lue Tao, Songcan Chen
Accelerated Stochastic Gradient-free and Projection-free Methods. ICML (2020)
Feihu Huang, Lue Tao, Songcan Chen
Accelerated Stochastic Gradient-free and Projection-free Methods. CoRR (2020)
Lue Tao, Songcan Chen
With False Friends Like These, Who Can Have Self-Knowledge? CoRR (2020)
Chuanxing Geng, Lue Tao, Songcan Chen
Guided CNN for generalized zero-shot and open-set recognition using visual and semantic prototypes. Pattern Recognit. 102 (2020)
Chuanxing Geng, Lue Tao, Songcan Chen
Visual and Semantic Prototypes-Jointly Guided CNN for Generalized Zero-shot Learning. CoRR (2019)