Contrastive Representation Learning Based on Multiple Node-centered Subgraphs. - Dong Li 034; Wenjun Wang 002; Minglai Shao 001; Chen Zhao 010 (CIKM, 2023)

Learning Fair Invariant Representations under Covariate and Correlation Shifts Simultaneously. - Dong Li 034; Chen Zhao 010; Minglai Shao 001; Wenjun Wang 002 (CIKM, 2024)

Supervised Algorithmic Fairness in Distribution Shifts: A Survey. - Minglai Shao 001; Dong Li 034; Chen Zhao 010; Xintao Wu; Yujie Lin; Qin Tian (IJCAI, 2024)

Graphs Generalization under Distribution Shifts. - Qin Tian; Wenjun Wang 002; Chen Zhao 010; Minglai Shao 001; Wang Zhang 001; Dong Li 034 (CoRR, 2024)

Fair Data Generation via Score-based Diffusion Model. - Yujie Lin; Dong Li 034; Chen Zhao 010; Minglai Shao 001 (CoRR, 2024)

GDDA: Semantic OOD Detection on Graphs under Covariate Shift via Score-Based Diffusion Models. - Zhixia He; Chen Zhao 010; Minglai Shao 001; Yujie Lin; Dong Li 034; Qin Tian (ICASSP, 2025)

MLDGG: Meta-Learning for Domain Generalization on Graphs. - Qin Tian; Chen Zhao 010; Minglai Shao 001; Wenjun Wang 002; Yujie Lin; Dong Li 034 (KDD (1), 2025)

A Survey on Computational Pathology Foundation Models: Datasets, Adaptation Strategies, and Evaluation Tasks. - Dong Li 034; Guihong Wan; Xintao Wu; Xinyu Wu; Ajit Johnson Nirmal; Christine G. Lian; Peter K. Sorger; Yevgeniy R. Semenov; Chen Zhao 010 (CoRR, 2025)

Multi-Modal Foundation Models for Computational Pathology: A Survey. - Dong Li 034; Guihong Wan; Xintao Wu; Xinyu Wu; Xiaohui Chen; Yi He; Christine G. Lian; Peter K. Sorger; Yevgeniy R. Semenov; Chen Zhao 010 (CoRR, 2025)