Dongliang Guo

19 papers A* 2A 2B 1Journal 11Unranked 3
YearRankTypeTitle / Venue / Authors
2026 — conf
Instruction-based Time Series Editing.
KDD (1)
Jiaxing Qiu, Dongliang Guo, Brynne Sullivan, Teague R. Henry, Thomas Hartvigsen
2026 J jnl
The Clever Hans Mirage: A Comprehensive Survey on Spurious Correlations in Machine Learning.
Trans. Mach. Learn. Res.
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
2025 A conf
Backdoor in Seconds: Unlocking Vulnerabilities in Large Pre-trained Models via Model Editing.
CIKM
Dongliang Guo, Mengxuan Hu, Zihan Guan, Junfeng Guo, Thomas Hartvigsen, Sheng Li
2025 A* conf
BalancEdit: Dynamically Balancing the Generality-Locality Trade-off in Multi-modal Model Editing.
ICML
Dongliang Guo, Mengxuan Hu, Zihan Guan, Thomas Hartvigsen, Sheng Li
2025 J jnl
BalancEdit: Dynamically Balancing the Generality-Locality Trade-off in Multi-modal Model Editing.
CoRR
Dongliang Guo, Mengxuan Hu, Zihan Guan, Thomas Hartvigsen, Sheng Li
2025 B conf
Few-shot Fine-grained Image Classification with Interpretable Prompt Learning through Distribution Alignment.
ICMI
Dongliang Guo, Handong Zhao, Ryan A. Rossi, Sungchul Kim, Nedim Lipka, Tong Yu, Sheng Li
2025 J jnl
Instruction-based Time Series Editing.
CoRR
Jiaxing Qiu, Dongliang Guo, Brynne Sullivan, Teague R. Henry, Tom Hartvigsen
2025 — conf
Motion Reconstruction of an Inchworm Inspired Soft Robotic Climber Using Fiber Optic Sensors and Neural Network.
OFC
Mei Yang, Dongliang Guo, Sheng Li, Steven Binder, Cole Sterck, Mable P. Fok
2025 — conf
No Free Lunch: Retrieval-Augmented Generation Undermines Fairness in LLMs, Even for Vigilant Users.
EMNLP (Findings)
Mengxuan Hu, Hongyi Wu, Ronghang Zhu, Zihan Guan, Dongliang Guo, Daiqing Qi, Sheng Li
2024 J jnl
A Survey of Trustworthy Representation Learning Across Domains.
ACM Trans. Knowl. Discov. Data
Ronghang Zhu, Dongliang Guo, Daiqing Qi, Zhixuan Chu, Xiang Yu, Sheng Li
2024 A conf
Ada-VAD: Domain Adaptable Video Anomaly Detection.
SDM
Dongliang Guo, Yun Fu, Sheng Li
2024 J jnl
Backdoor in Seconds: Unlocking Vulnerabilities in Large Pre-trained Models via Model Editing.
CoRR
Dongliang Guo, Mengxuan Hu, Zihan Guan, Junfeng Guo, Thomas Hartvigsen, Sheng Li
2024 J jnl
Bridging the Fairness Divide: Achieving Group and Individual Fairness in Graph Neural Networks.
CoRR
Duna Zhan, Dongliang Guo, Pengsheng Ji, Sheng Li
2024 J jnl
No Free Lunch: Retrieval-Augmented Generation Undermines Fairness in LLMs, Even for Vigilant Users.
CoRR
Mengxuan Hu, Hongyi Wu, Zihan Guan, Ronghang Zhu, Dongliang Guo, Daiqing Qi, Sheng Li
2023 A* conf
Fair Attribute Completion on Graph with Missing Attributes.
ICLR
Dongliang Guo, Zhixuan Chu, Sheng Li
2023 J jnl
Fair Attribute Completion on Graph with Missing Attributes.
CoRR
Dongliang Guo, Zhixuan Chu, Sheng Li
2023 J jnl
Towards Explainable Visual Anomaly Detection.
CoRR
Yizhou Wang, Dongliang Guo, Sheng Li, Yun Fu
2023 J jnl
Trustworthy Representation Learning Across Domains.
CoRR
Ronghang Zhu, Dongliang Guo, Daiqing Qi, Zhixuan Chu, Xiang Yu, Sheng Li
2023 J jnl
XAI meets Biology: A Comprehensive Review of Explainable AI in Bioinformatics Applications.
CoRR
Zhongliang Zhou, Mengxuan Hu, Mariah Salcedo, Nathan Gravel, Wayland Yeung, Aarya Venkat, Dongliang Guo, Jielu Zhang, Natarajan Kannan, Sheng Li