Yuan, Shuhan

10 publications

TMLR 2026 Algorithmic Recourse in Abnormal Multivariate Time Series Xiao Han, Lu Zhang, Yongkai Wu, Shuhan Yuan

ICCV 2025 Privacy-Centric Deep Motion Retargeting for Anonymization of Skeleton-Based Motion Visualization Thomas Carr, Depeng Xu, Shuhan Yuan, Aidong Lu

ICLR 2025 Root Cause Analysis of Anomalies in Multivariate Time Series Through Granger Causal Discovery Xiao Han, Saima Absar, Lu Zhang, Shuhan Yuan

ECML-PKDD 2024 Achieving Counterfactual Explanation for Sequence Anomaly Detection He Cheng, Depeng Xu, Shuhan Yuan, Xintao Wu

ICML 2024 Defense Against Backdoor Attack on Pre-Trained Language Models via Head Pruning and Attention Normalization Xingyi Zhao, Depeng Xu, Shuhan Yuan

ICLR 2022 On the Convergence of the Monte Carlo Exploring Starts Algorithm for Reinforcement Learning Che Wang, Shuhan Yuan, Kai Shao, Keith W. Ross

IJCAI 2019 Achieving Causal Fairness Through Generative Adversarial Networks Depeng Xu, Yongkai Wu, Shuhan Yuan, Lu Zhang, Xintao Wu

AAAI 2019 One-Class Adversarial Nets for Fraud Detection Panpan Zheng, Shuhan Yuan, Xintao Wu, Jun Li, Aidong Lu

AAAI 2019 SAFE: A Neural Survival Analysis Model for Fraud Early Detection Panpan Zheng, Shuhan Yuan, Xintao Wu

ECML-PKDD 2017 Wikipedia Vandal Early Detection: From User Behavior to User Embedding Shuhan Yuan, Panpan Zheng, Xintao Wu, Yang Xiang