Fair Attribute Completion on Graph with Missing Attributes. - Dongliang Guo 002; Zhixuan Chu; Sheng Li 001 (ICLR, 2023)

Towards Explainable Visual Anomaly Detection. - Yizhou Wang 006; Dongliang Guo 002; Sheng Li 001; Yun Fu 001 (CoRR, 2023)

Trustworthy Representation Learning Across Domains. - Ronghang Zhu; Dongliang Guo 002; Daiqing Qi; Zhixuan Chu; Xiang Yu 002; Sheng Li 001 (CoRR, 2023)

XAI meets Biology: A Comprehensive Review of Explainable AI in Bioinformatics Applications. - Zhongliang Zhou; Mengxuan Hu; Mariah Salcedo; Nathan Gravel; Wayland Yeung; Aarya Venkat; Dongliang Guo 002; Jielu Zhang; Natarajan Kannan; Sheng Li 001 (CoRR, 2023)

Ada-VAD: Domain Adaptable Video Anomaly Detection. - Dongliang Guo 002; Yun Fu 001; Sheng Li 001 (SDM, 2024)

Bridging the Fairness Divide: Achieving Group and Individual Fairness in Graph Neural Networks. - Duna Zhan; Dongliang Guo 002; Pengsheng Ji; Sheng Li 001 (CoRR, 2024)

No Free Lunch: Retrieval-Augmented Generation Undermines Fairness in LLMs, Even for Vigilant Users. - Mengxuan Hu; Hongyi Wu; Zihan Guan 001; Ronghang Zhu; Dongliang Guo 002; Daiqing Qi; Sheng Li 001 (CoRR, 2024)

Backdoor in Seconds: Unlocking Vulnerabilities in Large Pre-trained Models via Model Editing. - Dongliang Guo 002; Mengxuan Hu; Zihan Guan 001; Junfeng Guo; Thomas Hartvigsen; Sheng Li 001 (CoRR, 2024)

A Survey of Trustworthy Representation Learning Across Domains. - Ronghang Zhu; Dongliang Guo 002; Daiqing Qi; Zhixuan Chu; Xiang Yu 002; Sheng Li 001 (ACM Trans. Knowl. Discov. Data, 2024)

BalancEdit: Dynamically Balancing the Generality-Locality Trade-off in Multi-modal Model Editing. - Dongliang Guo 002; Mengxuan Hu; Zihan Guan 001; Thomas Hartvigsen; Sheng Li 001 (CoRR, 2025)