| 2026 | PAKDD | Beyond Single AI: The Rise of Multi-Agent Orchestration A Survey on Bias, Privacy, Robustness, and Interpretability. | Victor Vargas Arce, Farsheed Haque, Depeng Xu, Xi Niu, Shuhan Yuan |
| 2026 | PAKDD | Backdooring Societal Bias into Instruction-Tuned Large Language Models Via Virtual Prompt Injection. | Farsheed Haque, Arpita Ghosh, Depeng Xu, Shuhan Yuan |
| 2026 | WSDM | A Causal Inference Framework for Actionable Fault Diagnosis and Mitigation. | Shuhan Yuan, Lu Zhang |
| 2025 | EMNLP | Fine-tuning LLMs with Cross-Attention-based Weight Decay for Bias Mitigation. | Farsheed Haque, Zhe Fu, Depeng Xu, Shuhan Yuan, Xi Niu |
| 2025 | ICCV | Privacy-Centric Deep Motion Retargeting for Anonymization of Skeleton-Based Motion Visualization. | Thomas Carr, Depeng Xu, Shuhan Yuan, Aidong Lu |
| 2025 | ICLR | Root Cause Analysis of Anomalies in Multivariate Time Series through Granger Causal Discovery. | Xiao Han, Saima Absar, Lu Zhang, Shuhan Yuan |
| 2025 | WWW | Backdoor Attack against Log Anomaly Detection Models. | He Cheng, Depeng Xu, Shuhan Yuan |
| 2024 | ICDE | Contrastive Learning for Fraud Detection from Noisy Labels. | Vinay M. S., Shuhan Yuan, Xintao Wu |
| 2024 | ICML | Defense against Backdoor Attack on Pre-trained Language Models via Head Pruning and Attention Normalization. | Xingyi Zhao, Depeng Xu, Shuhan Yuan |
| 2024 | NAACL | Discovering and Mitigating Indirect Bias in Attention-Based Model Explanations. | Farsheed Haque, Depeng Xu, Shuhan Yuan |
| 2024 | PAKDD | Backdoor Attack Against One-Class Sequential Anomaly Detection Models. | He Cheng, Shuhan Yuan |
| 2023 | CIKM | On Root Cause Localization and Anomaly Mitigation through Causal Inference. | Xiao Han, Lu Zhang, Yongkai Wu, Shuhan Yuan |
| 2023 | IJCNN | Explainable Sequential Anomaly Detection via Prototypes. | He Cheng, Depeng Xu, Shuhan Yuan |
| 2023 | PAKDD | Achieving Counterfactual Fairness for Anomaly Detection. | Xiao Han, Lu Zhang, Yongkai Wu, Shuhan Yuan |
| 2022 | DASFAA | Contrastive Learning for Insider Threat Detection. | M. S. Vinay, Shuhan Yuan, Xintao Wu |
| 2022 | EMNLP | Generating Textual Adversaries with Minimal Perturbation. | Xingyi Zhao, Lu Zhang, Depeng Xu, Shuhan Yuan |
| 2022 | ICASSP | Robust Unstructured Knowledge Access in Conversational Dialogue with ASR Errors. | Yik-Cheung Tam, Jiacheng Xu, Jiakai Zou, Zecheng Wang, Tinglong Liao, Shuhan Yuan |
| 2022 | ICDM | Few-shot Anomaly Detection and Classification Through Reinforced Data Selection. | Xiao Han, Depeng Xu, Shuhan Yuan, Xintao Wu |
| 2022 | ICLR | On the Convergence of the Monte Carlo Exploring Starts Algorithm for Reinforcement Learning. | Che Wang, Shuhan Yuan, Kai Shao, Keith W. Ross |
| 2022 | IJCNLP | Robust Hate Speech Detection via Mitigating Spurious Correlations. | Kshitiz Tiwari, Shuhan Yuan, Lu Zhang |
| 2022 | PAKDD | Coded Hate Speech Detection via Contextual Information. | Depeng Xu, Shuhan Yuan, Yueyang Wang, Angela Uchechukwu Nwude, Lu Zhang, Anna Zajicek, Xintao Wu |
| 2021 | CIKM | Unsupervised Cross-system Log Anomaly Detection via Domain Adaptation. | Xiao Han, Shuhan Yuan |
| 2021 | IJCNN | LogBERT: Log Anomaly Detection via BERT. | Haixuan Guo, Shuhan Yuan, Xintao Wu |
| 2020 | CIKM | Few-shot Insider Threat Detection. | Shuhan Yuan, Panpan Zheng, Xintao Wu, Hanghang Tong |
| 2019 | AAAI | One-Class Adversarial Nets for Fraud Detection. | Panpan Zheng, Shuhan Yuan, Xintao Wu, Jun Li, Aidong Lu |
| 2019 | AAAI | SAFE: A Neural Survival Analysis Model for Fraud Early Detection. | Panpan Zheng, Shuhan Yuan, Xintao Wu |
| 2019 | IJCAI | Achieving Causal Fairness through Generative Adversarial Networks. | Depeng Xu, Yongkai Wu, Shuhan Yuan, Lu Zhang, Xintao Wu |
| 2019 | PAKDD | Dynamic Anomaly Detection Using Vector Autoregressive Model. | Yuemeng Li, Aidong Lu, Xintao Wu, Shuhan Yuan |
| 2019 | WWW | Achieving Differential Privacy and Fairness in Logistic Regression. | Depeng Xu, Shuhan Yuan, Xintao Wu |
| 2018 | PAKDD | DPNE: Differentially Private Network Embedding. | Depeng Xu, Shuhan Yuan, Xintao Wu, NhatHai Phan |
| 2017 | CIKM | Spectrum-based Deep Neural Networks for Fraud Detection. | Shuhan Yuan, Xintao Wu, Jun Li, Aidong Lu |
| 2017 | PAKDD | SNE: Signed Network Embedding. | Shuhan Yuan, Xintao Wu, Yang Xiang |
| 2016 | EDBT | A Two Phase Deep Learning Model for Identifying Discrimination from Tweets. | Shuhan Yuan, Xintao Wu, Yang Xiang |
| 2016 | ICDM | Incorporating Pre-Training in Long Short-Term Memory Networks for Tweets Classification. | Shuhan Yuan, Xintao Wu, Yang Xiang |
| 2015 | HPCC | A Knowledge Resources Based Neural Network for Learning Word and Relation Representations. | Shuhan Yuan, Yang Xiang, Maozhen Li |