Estimating Possible Causal Effects with Latent Variables via Adjustment and Novel Rule Orientation.
Tian-Zuo Wang, Lue Tao, Tian Qin, and Zhi-Hua Zhou.
Artificial Intelligence, in press, 2025.
Enabling Optimal Decisions in Rehearsal Learning under CARE Condition.
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), 2025.
Avoiding Undesired Future with Sequential Decisions.
Lue Tao, Tian-Zuo Wang, Yuan Jiang, and Zhi-Hua Zhou.
In: Proceedings of the 34th International Joint Conference on Artificial Intelligence (IJCAI'25), 2025.
Deciphering Raw Data in Neuro-Symbolic Learning with Provable Guarantees.
[paper, code]
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.
Can Adversarial Training Be Manipulated By Non-Robust Features?
[paper, code]
Lue Tao, Lei Feng, Hongxin Wei, Jinfeng Yi, Sheng-Jun Huang, and Songcan Chen.
In: Advances in Neural Information Processing Systems 35 (NeurIPS'22), pp. 26504-26518, 2022.
Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets.
[paper]
Hongxin Wei, Lue Tao, Renchunzi Xie, Lei Feng, and Bo An.
In: Proceedings of the 39th International Conference on Machine Learning (ICML'22), pp. 23615-23630, 2022.
With False Friends Like These, Who Can Notice Mistakes?
[paper, code]
Lue Tao, Lei Feng, Jinfeng Yi, and Songcan Chen.
In: Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI'22), pp. 8458-8466, 2022.
Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training.
[paper, code]
Lue Tao, Lei Feng, Jinfeng Yi, Sheng-Jun Huang, and Songcan Chen.
In: Advances in Neural Information Processing Systems 34 (NeurIPS'21), pp. 16209-16225, 2021.
Open-set Label Noise Can Improve Robustness Against Inherent Label Noise.
[paper]
Hongxin Wei, Lue Tao, Renchunzi Xie, and Bo An.
In: Advances in Neural Information Processing Systems 34 (NeurIPS'21), pp. 7978-7992, 2021.
Multiple-Instance Learning from Similar and Dissimilar Bags.
[paper]
Lei Feng, Senlin Shu, Yuzhou Cao, Lue Tao, Hongxin Wei, Tao Xiang, Bo An, and Gang Niu.
In: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'21), pp. 374-382, 2021.
Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries.
[paper]
Kun-Peng Ning*, Lue Tao*, Songcan Chen, and Sheng-Jun Huang.
In: Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI'21), pp. 9161-9169, 2021.
Accelerated Stochastic Gradient-free and Projection-free Methods.
[paper]
Feihu Huang, Lue Tao, and Songcan Chen.
In: Proceedings of the 37th International Conference on Machine Learning (ICML'20), pp. 4519-4530, 2020.
Guided CNN for Generalized Zero-shot and Open-set Recognition Using Visual and Semantic Prototypes.
[paper]
Chuanxing Geng, Lue Tao, and Songcan Chen.
Pattern Recognition, 102:107263, 2020.
(* indicates equal contribution)
[Mind]
[Home]