Dong Li

According to our database, Dong Li authored at least 18 papers between 2023 and 2026.

Collaborative distances:

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

2026

Class-Domain Incremental Learning on Graphs via Disentangled Knowledge Distillation.

Qin Tian, Chen Zhao, Xintao Wu, Dong Li, Minglai Shao, Xujiang Zhao, Wenjun Wang

Proceedings of the ACM Web Conference 2026, 2026

LLM-Enhanced Energy Contrastive Learning for Out-of-Distribution Detection in Text-Attributed Graphs.

Xiaoxu Ma, Dong Li, Minglai Shao, Xintao Wu, Chen Zhao

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

MARLIN: Multi-Agent Reinforcement Learning for Incremental DAG Discovery.

Dong Li, Zhengzhang Chen, Xujiang Zhao, Linlin Yu, Zhong Chen, Yi He, Haifeng Chen, Chen Zhao

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Out-of-Distribution Detection with Positive and Negative Prompt Supervision Using Large Language Models.

Zhixia He, Chen Zhao, Minglai Shao, Xintao Wu, Xujiang Zhao, Dong Li, Qin Tian, Linlin Yu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

SolverLLM: Leveraging Test-Time Scaling for Optimization Problem via LLM-Guided Search.

Dong Li, Xujiang Zhao, Linlin Yu, Yanchi Liu, Wei Cheng, Zhengzhang Chen, Zhong Chen, Feng Chen, Chen Zhao, Haifeng Chen

CoRR, October, 2025

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains.

Yumeng Lin, Dong Li, Xintao Wu, Minglai Shao, Xujiang Zhao, Zhong Chen, Chen Zhao

CoRR, September, 2025

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

CoRR, March, 2025

A Survey on Computational Pathology Foundation Models: Datasets, Adaptation Strategies, and Evaluation Tasks.

Dong Li, Guihong Wan, Xintao Wu, Xinyu Wu, Ajit Johnson Nirmal, Christine G. Lian, Peter K. Sorger, Yevgeniy R. Semenov, Chen Zhao

CoRR, January, 2025

Multi-Modal Foundation Models for Computational Pathology: A Survey.

Dong Li, Guihong Wan, Xintao Wu, Xinyu Wu, Xiaohui Chen, Yi He, Zhong Chen, Peter K. Sorger, Chen Zhao

Trans. Mach. Learn. Res., 2025

MLDGG: Meta-Learning for Domain Generalization on Graphs.

Qin Tian, Chen Zhao, Minglai Shao, Wenjun Wang, Yujie Lin, Dong Li

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

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

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

GDDA: Semantic OOD Detection on Graphs under Covariate Shift via Score-Based Diffusion Models.

Zhixia He, Chen Zhao, Minglai Shao, Yujie Lin, Dong Li, Qin Tian

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

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

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Fair Data Generation via Score-based Diffusion Model.

Yujie Lin, Dong Li, Chen Zhao, Minglai Shao

CoRR, 2024

Graphs Generalization under Distribution Shifts.

Qin Tian, Wenjun Wang, Chen Zhao, Minglai Shao, Wang Zhang, Dong Li

CoRR, 2024

Supervised Algorithmic Fairness in Distribution Shifts: A Survey.

Minglai Shao, Dong Li, Chen Zhao, Xintao Wu, Yujie Lin, Qin Tian

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Learning Fair Invariant Representations under Covariate and Correlation Shifts Simultaneously.

Dong Li, Chen Zhao, Minglai Shao, Wenjun Wang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Contrastive Representation Learning Based on Multiple Node-centered Subgraphs.

Dong Li, Wenjun Wang, Minglai Shao, Chen Zhao

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023