Chen, Zihan

14 publications

TMLR 2025 FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Zihan Chen, Xingbo Fu, Yushun Dong, Jundong Li, Cong Shen

NeurIPS 2025 GraphTOP: Graph Topology-Oriented Prompting for Graph Neural Networks Xingbo Fu, Zhenyu Lei, Zihan Chen, Binchi Zhang, Chuxu Zhang, Jundong Li

ICML 2025 MAPLE: Many-Shot Adaptive Pseudo-Labeling for In-Context Learning Zihan Chen, Song Wang, Zhen Tan, Jundong Li, Cong Shen

MLJ 2025 SPA: A Poisoning Attack Framework for Graph Neural Networks Through Searching and Pairing Xiao Liu, Jun-Jie Huang, Wentao Zhao, Ziyue Wang, Zihan Chen, Yi Pan

AAAI 2025 Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning Xingbo Fu, Zihan Chen, Yinhan He, Song Wang, Binchi Zhang, Chen Chen, Jundong Li

NeurIPS 2024 Efficient Prompt Optimization Through the Lens of Best Arm Identification Chengshuai Shi, Kun Yang, Zihan Chen, Jundong Li, Jing Yang, Cong Shen

ICLR 2024 FedLoGe: Joint Local and Generic Federated Learning Under Long-Tailed Data Zikai Xiao, Zihan Chen, Liyinglan Liu, Yang Feng, Joey Tianyi Zhou, Jian Wu, Wanlu Liu, Howard Hao Yang, Zuozhu Liu

NeurIPS 2024 Mixture of Demonstrations for In-Context Learning Song Wang, Zihan Chen, Chengshuai Shi, Cong Shen, Jundong Li

AAAI 2024 Rolling-UNet: Revitalizing MLP's Ability to Efficiently Extract Long-Distance Dependencies for Medical Image Segmentation Yutong Liu, Haijiang Zhu, Mengting Liu, Huaiyuan Yu, Zihan Chen, Jie Gao

ICML 2024 Verification of Machine Unlearning Is Fragile Binchi Zhang, Zihan Chen, Cong Shen, Jundong Li

NeurIPS 2023 Fed-GraB: Federated Long-Tailed Learning with Self-Adjusting Gradient Balancer Zikai Xiao, Zihan Chen, Songshang Liu, Hualiang Wang, Yang Feng, Jin Hao, Joey Tianyi Zhou, Jian Wu, Howard Hua Yang, Zuozhu Liu

AAAI 2023 Imperceptible Adversarial Attack via Invertible Neural Networks Zihan Chen, Ziyue Wang, Jun-Jie Huang, Wentao Zhao, Xiao Liu, Dejian Guan

NeurIPS 2023 Spectral Co-Distillation for Personalized Federated Learning Zihan Chen, Howard Hua Yang, Tony Quek, Kai Fong Ernest Chong

CVPR 2022 FedCorr: Multi-Stage Federated Learning for Label Noise Correction Jingyi Xu, Zihan Chen, Tony Q.S. Quek, Kai Fong Ernest Chong