Deep Insights into Graph Adversarial Learning: An Empirical Study Perspective. - Jintang Li; Zishan Gu; Qibiao Peng; Kun Xu; Liang Chen 001; Zibin Zheng (HBAI@IJCAI, 2020)

Are All Edges Necessary? A Unified Framework for Graph Purification. - Zishan Gu; Jintang Li; Liang Chen 001 (CoRR, 2022)

Dynamic Activation of Clients and Parameters for Federated Learning over Heterogeneous Graphs. - Zishan Gu; Ke Zhang; Guangji Bai; Liang Chen 001; Liang Zhao 002; Carl Yang 001 (ICDE, 2023)

Inquire, Interact, and Integrate: A Proactive Agent Collaborative Framework for Zero-Shot Multimodal Medical Reasoning. - Zishan Gu; Fenglin Liu; Changchang Yin; Ping Zhang 016 (CoRR, 2024)

MedVH: Towards Systematic Evaluation of Hallucination for Large Vision Language Models in the Medical Context. - Zishan Gu; Changchang Yin; Fenglin Liu; Ping Zhang 016 (CoRR, 2024)