| Open-set Label Noise Can Improve Robustness Against Inherent Label Noise H Wei, L Tao, R Xie, B An Advances in Neural Information Proecessing Systems (NeurIPS), 2021 | 61 | 2021 |
| Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training L Tao, L Feng, J Yi, SJ Huang, S Chen Advances in Neural Information Proecessing Systems (NeurIPS), 2021 | 57* | 2021 |
| Guided CNN for generalized zero-shot and open-set recognition using visual and semantic prototypes C Geng, L Tao, S Chen Pattern Recognition 102, 107263, 2020 | 39 | 2020 |
| Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets H Wei, L Tao, R Xie, L Feng, B An International Conference on Machine Learning (ICML), 23615-23630, 2022 | 23 | 2022 |
| Accelerated Stochastic Gradient-free and Projection-free Methods F Huang, L Tao, S Chen International Conference on Machine Learning (ICML), 4519-4530, 2020 | 18 | 2020 |
| Multiple-Instance Learning from Similar and Dissimilar Bags L Feng, S Shu, Y Cao, L Tao, H Wei, T Xiang, B An, G Niu ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 374-382, 2021 | 13 | 2021 |
| Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries KP Ning, L Tao, S Chen, SJ Huang AAAI Conference on Artificial Intelligence (AAAI) 35 (10), 9161--9169, 2021 | 11 | 2021 |
| Can Adversarial Training Be Manipulated By Non-Robust Features? L Tao, L Feng, H Wei, J Yi, SJ Huang, S Chen Advances in Neural Information Proecessing Systems (NeurIPS), 2022 | 8 | 2022 |
| With False Friends Like These, Who Can Notice Mistakes? L Tao, L Feng, J Yi, S Chen AAAI Conference on Artificial Intelligence (AAAI), 2022 | 3 | 2022 |
| Deciphering Raw Data in Neuro-Symbolic Learning with Provable Guarantees L Tao, YX Huang, WZ Dai, Y Jiang AAAI Conference on Artificial Intelligence (AAAI), 2024 | | 2024 |
