| 2026 | ACL | Fair RAG: End-to-End Fairness Across Retrieval and Generation. | Farsheed Haque, Zhe Fu, Ramit Aditya, Depeng Xu, Xi Niu |
| 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 | Comparative Analysis of Formula and Structure Prediction from Tandem Mass Spectra. | Xujun Che, Depeng Xu, Xiuxia Du |
| 2026 | PAKDD | Backdooring Societal Bias into Instruction-Tuned Large Language Models Via Virtual Prompt Injection. | Farsheed Haque, Arpita Ghosh, Depeng Xu, Shuhan Yuan |
| 2026 | PAKDD | Reducing Disparity in Aleatoric Uncertainty for Age Estimation from Facial Images. | Ruhani Rahman, Zhe Fu, Depeng Xu, Xi Niu |
| 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 | ISMAR | AnonVis: A Visualization Tool for Human Motion Anonymization. | Thomas Carr, Ruby Flanagan, Albert Bastakoti, Depeng Xu, Aidong Lu |
| 2025 | PAKDD | Explanation-Based Anonymization Methods for Motion Privacy. | Thomas Carr, Yaxin Zhao, Depeng Xu, Aidong Lu |
| 2025 | PAKDD | A Comprehensive Survey on Bias and Fairness in Large Language Models. | Farsheed Haque, Depeng Xu, Xi Niu |
| 2025 | WWW | Backdoor Attack against Log Anomaly Detection Models. | He Cheng, Depeng Xu, Shuhan Yuan |
| 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 |
| 2023 | CIKM | Linkage Attack on Skeleton-based Motion Visualization. | Thomas Carr, Aidong Lu, Depeng Xu |
| 2023 | IJCNN | Explainable Sequential Anomaly Detection via Prototypes. | He Cheng, Depeng Xu, Shuhan Yuan |
| 2022 | EMNLP | Generating Textual Adversaries with Minimal Perturbation. | Xingyi Zhao, Lu Zhang, Depeng Xu, Shuhan Yuan |
| 2022 | ICDM | Few-shot Anomaly Detection and Classification Through Reinforced Data Selection. | Xiao Han, Depeng Xu, Shuhan Yuan, Xintao Wu |
| 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 | KDD | Removing Disparate Impact on Model Accuracy in Differentially Private Stochastic Gradient Descent. | Depeng Xu, Wei Du, Xintao Wu |
| 2021 | SDM | Fairness-aware Agnostic Federated Learning. | Wei Du, Depeng Xu, Xintao Wu, Hanghang Tong |
| 2019 | IJCAI | Achieving Causal Fairness through Generative Adversarial Networks. | Depeng Xu, Yongkai Wu, Shuhan Yuan, Lu Zhang, Xintao Wu |
| 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 |