Publications
(* indicates equal contribution)
Preprints
- Multi-Modal Foundation Models for Computational Pathology: A Survey.
Dong Li*, Guihong Wan*, Xintao Wu, Xinyu Wu, Xiaohui Chen, Yi He, Christine G. Lian, Peter K. Sorger, Yevgeniy R. Semenov, Chen Zhao. ArXiv preprint, 2503.09091 - A Survey on Computational Pathology Foundation Models: Datasets, Adaptation Strategies, and Evaluation Tasks.
Dong Li*, Guihong Wan*, Xintao Wu, Xinyu Wu, Ajit J. Nirmal, Christine G. Lian, Peter K. Sorger, Yevgeniy R. Semenov, Chen Zhao.
ArXiv preprint, 2501.15724 - FADE: Towards Fairness-aware Augmentation for Domain Generalization via Classifier-Guided Score-based Diffusion Models.
Yujie Lin*, Dong Li*, Chen Zhao, Minglai Shao.
ArXiv preprint, 2406.09495 - Graphs Generalization under Distribution Shifts.
Qin Tian, Wenjun Wang, Chen Zhao, Minglai Shao, Wang Zhang, Dong Li.
ArXiv preprint, 2403.16334
Journal Papers
- [DDNS’21] A new early rumor detection model based on bigru neural network.
Xiangning Chen, Caiyun Wang, Dong Li, Xuemei Sun.
Discrete Dynamics in Nature and Society, 2021.
Conference Papers
- [ACL'25] Uncertainty Propagation on LLM Agent.
Qiwei Zhao*, Dong Li*, Yanchi Liu, Wei Cheng, Yiyou Sun, Mika Oishi, Takao Osaki, Katsushi Matsuda, Huaxiu Yao, Chen Zhao, Haifeng Chen, Xujiang Zhao
In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics, 2025 - [IJCAI'25] FADE: Towards Fairness-aware Data Generation for Domain Generalization via Classifier-Guided Score-based Diffusion Models.
Yujie Lin*, Dong Li*, Minglai Shao, Guihong Wan, Chen Zhao
In Proceedings of the 34th International Joint Conference on Artificial Intelligence, 2025 - [ICASSP'25] GDDA: Semantic OOD Detection on Graphs under Covariate Shift via Score-Based Diffusion Model.
Zhixia He, Chen Zhao, Minglai Shao, Yujie Lin, Dong Li, Qin Tian
In Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, 2025 - [KDD’25] MLDGG: Meta-Learning for Domain Generalization on Graphs.
Qin Tian, Chen Zhao, Minglai Shao, Wenjun Wang, Yujie Lin, Dong Li
In Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2025 - [CIKM’24] Learning Fair Invariant Representations under Covariate and Correlation Shifts Simultaneously.
Dong Li, Chen Zhao, Minglai Shao, Wenjun Wang.
In Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024. - [IJCAI’24] Supervised Algorithmic Fairness in Distribution Shifts: A Survey.
Minglai Shao*, Dong Li*, Chen Zhao*, Xintao Wu, Yujie Lin, Qin Tian.
In Proceedings of the 33rd International Joint Conference on Artificial Intelligence, 2024. - [CIKM’23] Contrastive Representation Learning Based on Multiple Node-centered Subgraphs.
Dong Li, Wenjun Wang, Minglai Shao, Chen Zhao.
In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023.
Workshop Papers
- [KDD’24-W] Semantic OOD Detection under Covariate Shift on Graphs with Diffusion Model.
Zhixia He, Chen Zhao, Minglai Shao, Yujie Lin, Dong Li.
KDD Workshop on Uncertainty Reasoning and Quantification in Decision Making, 2024. - [KDD’24-W] IDGG: Invariant Learning for Out-of-Distribution Generalization on Graphs.
Qin Tian, Wenjun Wang, Minglai Shao, Chen Zhao, Dong Li.
KDD Workshop on Uncertainty Reasoning and Quantification in Decision Making, 2024. - [KDD’24-W] Fair Data Generation via Score-based Diffusion Model.
Yujie Lin, Dong Li, Chen Zhao, Minglai Shao.
KDD Workshop on Ethical Artificial Intelligence: Methods and Applications, 2024. - [KDD’23-W] Learning Fair and Domain Generalization Representation.
Dong Li, Chen Zhao, Minglai Shao, Xujiang Zhao.
KDD Workshop on Ethical Artificial Intelligence: Methods and Applications, 2023. - [IMCEC-W’21] Twitter Rumor Detection Technology Based on Hierarchical Capsule Network.
Wang Caiyun, Sun Xuemei, Rong Chuitian, Li Dong.
IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference, 2021.