| Parametric Augmentation for Time Series Contrastive Learning X Zheng, T Wang, W Cheng, A Ma, H Chen, M Sha, D Luo The Twelfth International Conference on Learning Representations, 2024 | 35* | 2024 |
| TimeX++: Learning Time-Series Explanations with Information Bottleneck Z Liu, T Wang, J Shi, X Zheng, Z Chen, L Song, W Dong, J Obeysekera, ... Forty-first International Conference on Machine Learning, 2024 | 33 | 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 The Twelfth International Conference on Learning Representations, 2024 | 33 | 2024 |
| F-Fidelity: A Robust Framework for Faithfulness Evaluation of Explainable AI X Zheng, F Shirani, Z Chen, C Lin, W Cheng, W Guo, D Luo The Thirteenth International Conference on Learning Representations, 2025 | 14 | 2025 |
| 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 | 4 | 2023 |
| 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 | 3 | 2022 |
| Explanation-Preserving Augmentation for Semi-Supervised Graph Representation Learning Z Chen, J Ni, HA Salehi, X Zheng, E Schafir, F Shirani, D Luo arXiv preprint arXiv:2410.12657, 2024 | 2 | 2024 |
| SFBench: Evaluating Data-Driven Models for Compound Flood Forecasting in South Florida X Zheng, C Lin, S Chen, Z Chen, J Shi, W Cheng, J Obeysekera, J Liu, ... arXiv preprint arXiv:2506.04281, 2025 | 1 | 2025 |
| From Binary to Continuous: Stochastic Re-Weighting for Robust Graph Explanation Z Chen, J Ni, HA Salehi, X Zheng, D Luo arXiv preprint arXiv:2508.01925, 2025 | | 2025 |
| LMotifs : An Explainable Framework for Machine-Generated Texts Detection X Zheng, Z Chen, E Schafir, S Chen, HA Salehi, H Chen, F Shirani, ... arXiv preprint arXiv:2505.12507, 2025 | | 2025 |
| Adaptive Dice Loss for Extremely Imbalanced Segmentation in Wetland Delineation S Chen, X Zheng, Z Yin, Q Chen, Y Li, J Liu, D Luo Workshop on ICLR 2025, 2025 | | 2025 |
| Chiseling the Graph: An Edge-Sculpting Method for Explaining Graph Neural Networks T Wang, F Shirani, X Zheng, W Cheng, H Chen, D Luo, X Zhang | | 2024 |
| 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 |
Dongsheng LuoAssistant Professor, Florida International UniversityVerified email at fiu.edu
