Unsafe Behavior Detection with Adaptive Contrastive Learning in Industrial Control Systems. - Xu Zheng 003; Tianchun Wang; Samin Yasar Chowdhury; Ruimin Sun; Dongsheng Luo (EuroS&P Workshops, 2023)

Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks. - Xu Zheng 003; Farhad Shirani 001; Tianchun Wang; Wei Cheng 002; Zhuomin Chen; Haifeng Chen; Hua Wei 001; Dongsheng Luo (ICLR, 2024)

Parametric Augmentation for Time Series Contrastive Learning. - Xu Zheng 003; Tianchun Wang; Wei Cheng 002; Aitian Ma; Haifeng Chen; Mo Sha 001; Dongsheng Luo (ICLR, 2024)

TimeX++: Learning Time-Series Explanations with Information Bottleneck. - Zichuan Liu; Tianchun Wang; Jimeng Shi; Xu Zheng 003; Zhuomin Chen; Lei Song 001; Wenqian Dong; Jayantha Obeysekera; Farhad Shirani 001; Dongsheng Luo (ICML, 2024)

PAC Learnability under Explanation-Preserving Graph Perturbations. - Xu Zheng 003; Farhad Shirani 001; Tianchun Wang; Shouwei Gao; Wenqian Dong; Wei Cheng 002; Dongsheng Luo (CoRR, 2024)

Explanation-Preserving Augmentation for Semi-Supervised Graph Representation Learning. - Zhuomin Chen; Jingchao Ni; Hojat Allah Salehi; Xu Zheng 003; Esteban Schafir; Farhad Shirani 001; Dongsheng Luo (CoRR, 2024)

F-Fidelity: A Robust Framework for Faithfulness Evaluation of Explainable AI. - Xu Zheng 003; Farhad Shirani 001; Zhuomin Chen; Chaohao Lin; Wei Cheng 002; Wenbo Guo 002; Dongsheng Luo (ICLR, 2025)

LM2otifs : An Explainable Framework for Machine-Generated Texts Detection. - Xu Zheng 003; Zhuomin Chen; Esteban Schafir; Sipeng Chen; Hojat Allah Salehi; Haifeng Chen; Farhad Shirani 001; Wei Cheng 002; Dongsheng Luo (CoRR, 2025)

SF2Bench: Evaluating Data-Driven Models for Compound Flood Forecasting in South Florida. - Xu Zheng 003; Chaohao Lin; Sipeng Chen; Zhuomin Chen; Jimeng Shi; Wei Cheng 002; Jayantha Obeysekera; Jason Liu; Dongsheng Luo (CoRR, 2025)