Dongliang Guo

According to our database, Dongliang Guo authored at least 9 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Survey of Trustworthy Representation Learning Across Domains.

Ronghang Zhu, Dongliang Guo, Daiqing Qi, Zhixuan Chu, Xiang Yu, Sheng Li

ACM Trans. Knowl. Discov. Data, August, 2024

Backdoor in Seconds: Unlocking Vulnerabilities in Large Pre-trained Models via Model Editing.

Dongliang Guo, Mengxuan Hu, Zihan Guan, Junfeng Guo, Thomas Hartvigsen, Sheng Li

CoRR, 2024

No Free Lunch: Retrieval-Augmented Generation Undermines Fairness in LLMs, Even for Vigilant Users.

Mengxuan Hu, Hongyi Wu, Zihan Guan, Ronghang Zhu, Dongliang Guo, Daiqing Qi, Sheng Li

CoRR, 2024

Bridging the Fairness Divide: Achieving Group and Individual Fairness in Graph Neural Networks.

Duna Zhan, Dongliang Guo, Pengsheng Ji, Sheng Li

CoRR, 2024

Ada-VAD: Domain Adaptable Video Anomaly Detection.

Dongliang Guo, Yun Fu, Sheng Li

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

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, Jielu Zhang, Natarajan Kannan, Sheng Li

CoRR, 2023

Trustworthy Representation Learning Across Domains.

Ronghang Zhu, Dongliang Guo, Daiqing Qi, Zhixuan Chu, Xiang Yu, Sheng Li

CoRR, 2023

Towards Explainable Visual Anomaly Detection.

Yizhou Wang, Dongliang Guo, Sheng Li, Yun Fu

CoRR, 2023

Fair Attribute Completion on Graph with Missing Attributes.

Dongliang Guo, Zhixuan Chu, Sheng Li

Proceedings of the Eleventh International Conference on Learning Representations, 2023