Dongliang Guo

According to our database, Dongliang Guo authored at least 15 papers between 2023 and 2026.

Collaborative distances:

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

2026

The Clever Hans Mirage: A Comprehensive Survey on Spurious Correlations in Machine Learning.

Wenqian Ye, Luyang Jiang, Eric Xie, Guangtao Zheng, Yunsheng Ma, Xu Cao, Dongliang Guo, Daiqing Qi, Zeyu He, Yijun Tian, Christopher W. Porter, Megan Coffee, Zhe Zeng, Sheng Li, Ziran Wang, Ting-Hao 'Kenneth' Huang, James Matthew Rehg, Henry A. Kautz, Aidong Zhang

Trans. Mach. Learn. Res., 2026

Instruction-based Time Series Editing.

Jiaxing Qiu, Dongliang Guo, Brynne Sullivan, Teague R. Henry, Thomas Hartvigsen

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

2025

Motion Reconstruction of an Inchworm Inspired Soft Robotic Climber Using Fiber Optic Sensors and Neural Network.

Mei Yang, Dongliang Guo, Sheng Li, Steven Binder, Cole Sterck, Mable P. Fok

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2025

Improve Temporal Reasoning in Multimodal Large Language Models via Video Contrastive Decoding.

Daiqing Qi, Dongliang Guo, Hanzhang Yuan, Handong Zhao, Mengxuan Hu, Lehan Yang, Sheng Li

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

BalancEdit: Dynamically Balancing the Generality-Locality Trade-off in Multi-modal Model Editing.

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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Few-shot Fine-grained Image Classification with Interpretable Prompt Learning through Distribution Alignment.

Dongliang Guo, Handong Zhao, Ryan A. Rossi, Sungchul Kim, Nedim Lipka, Tong Yu, Sheng Li

Proceedings of the 27th International Conference on Multimodal Interaction, 2025

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

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

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

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

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

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