Selected Publications
Zichuan Liu, Tianchun Wang, Jimeng Shi, Xu Zheng, et. al, Dongsheng Luo, TimeX++: Learning Time-Series Explanations with Information Bottleneck, ICML 2024,paper,code
Tianchun Wang, Farhad Shirani, Xu Zheng, Wei Cheng, Haifeng Chen, Dongsheng Luo and Xiang Zhang, Chiseling the Graph: An Edge-Sculpting Method for Explaining Graph Neural Networks. KDD 2024 under review
Shouwei Gao, Xu Zheng, et. al, Dongsheng Luo, Wenqian Dong, Loxia: Self-Guided Pruning for Scientific AI Foundation Models, (SC 2024 under review)
Xu Zheng*, Farhad Shirani*, Tianchun Wang, Shouwei Gao, Wenqian Dong, Wei Cheng, Dongsheng Luo, PAC Learnability under Explanation-Preserving Graph Perturbations, Arxiv 2024, paper,code
Xu Zheng, Tianchun Wang, Wei Cheng, Aitian Ma, Haifeng Chen, Mo Sha, Dongsheng Luo, Parametric Augmentation for Time Series Contrastive Learning, ICLR 2024, IJCAI workshop AI4TS 2023, paper,code
Xu Zheng*, Farhad Shirani*, Tianchun Wang, Wei Cheng, Zhuomin Chen, Haifeng Chen, Hua Wei, Dongsheng Luo, Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks, ICLR 2024,paper,project,code
Minghao Lin, Minghao Cheng, Yueqi Chen, Xu Zheng, Dongsheng Luo, Huajiang Chen, CLExtract: An End-to-End Tool Decoding Highly Corrupted Satellite Stream from Eavesdropping, Black Hat USA Arsenal 2023, Web
Xu Zheng, Tianchun Wang, Samin Yasar Chowdhury, Ruimin Sun, Dongsheng Luo, Unsafe Behavior Detection with Adaptive Contrastive Learning in Industrial Control Systems, EuroS&PW 2023, Paper
Xu Zheng, Yali Zheng, Shubing Yang, Generating Multiple Hypotheses for 3D Human Mesh and Pose using Conditional Generative Adversarial Nets, ACCV 2022, Paper
* means the same contribution.