Parametric Augmentation for Time Series Contrastive Learning X Zheng, T Wang, W Cheng, A Ma, H Chen, M Sha, D Luo ICLR 2023, 2024 | 3* | 2024 |
Towards robust fidelity for evaluating explainability of graph neural networks X Zheng, F Shirani, T Wang, W Cheng, Z Chen, H Chen, H Wei, D Luo ICLR 2023, 2023 | 3 | 2023 |
TimeX++: Learning Time-Series Explanations with Information Bottleneck Z Liu, T Wang, J Shi, X Zheng, Z Chen, L Song, W Dong, J Obeysekera, ... ICML 2024, 2024 | 1 | 2024 |
Generating multiple hypotheses for 3D human mesh and pose using conditional generative adversarial nets X Zheng, Y Zheng, S Yang Proceedings of the Asian Conference on Computer Vision, 1709-1725, 2022 | 1 | 2022 |
PAC Learnability under Explanation-Preserving Graph Perturbations X Zheng, F Shirani, T Wang, S Gao, W Dong, W Cheng, D Luo arXiv preprint arXiv:2402.05039, 2024 | | 2024 |
Unsafe Behavior Detection with Adaptive Contrastive Learning in Industrial Control Systems X Zheng, T Wang, SY Chowdhury, R Sun, D Luo 2023 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW …, 2023 | | 2023 |