Zhang, Guibin

25 publications

TMLR 2026 The Landscape of Agentic Reinforcement Learning for LLMs: A Survey Guibin Zhang, Hejia Geng, Xiaohang Yu, Zhenfei Yin, Zaibin Zhang, Zelin Tan, Heng Zhou, Zhong-Zhi Li, Xiangyuan Xue, Yijiang Li, Yifan Zhou, Yang Chen, Chen Zhang, Yutao Fan, Zihu Wang, Songtao Huang, Francisco Piedrahita Velez, Yue Liao, Hongru Wang, Mengyue Yang, Heng Ji, Jun Wang, Shuicheng Yan, Philip Torr, Lei Bai

NeurIPS 2025 AgentAuditor: Human-Level Safety and Security Evaluation for LLM Agents Hanjun Luo, Shenyu Dai, Chiming Ni, Xinfeng Li, Guibin Zhang, Kun Wang, Tongliang Liu, Hanan Salam

ICLR 2025 Cut the Crap: An Economical Communication Pipeline for LLM-Based Multi-Agent Systems Guibin Zhang, Yanwei Yue, Zhixun Li, Sukwon Yun, Guancheng Wan, Kun Wang, Dawei Cheng, Jeffrey Xu Yu, Tianlong Chen

ICML 2025 EAGLES: Towards Effective, Efficient, and Economical Federated Graph Learning via Unified Sparsification Zitong Shi, Guancheng Wan, Wenke Huang, Guibin Zhang, He Li, Carl Yang, Mang Ye

ICLR 2025 Energy-Based Backdoor Defense Against Federated Graph Learning Guancheng Wan, Zitong Shi, Wenke Huang, Guibin Zhang, Dacheng Tao, Mang Ye

AAAI 2025 Fast Track to Winning Tickets: Repowering One-Shot Pruning for Graph Neural Networks Yanwei Yue, Guibin Zhang, Haoran Yang, Dawei Cheng

CVPR 2025 FedSPA: Generalizable Federated Graph Learning Under Homophily Heterogeneity Zihan Tan, Guancheng Wan, Wenke Huang, He Li, Guibin Zhang, Carl Yang, Mang Ye

ICML 2025 G-Designer: Architecting Multi-Agent Communication Topologies via Graph Neural Networks Guibin Zhang, Yanwei Yue, Xiangguo Sun, Guancheng Wan, Miao Yu, Junfeng Fang, Kun Wang, Tianlong Chen, Dawei Cheng

ICLRW 2025 G-Designer: Architecting Multi-Agent Communication Topologies via Graph Neural Networks Guibin Zhang, Yanwei Yue, Xiangguo Sun, Guancheng Wan, Miao Yu, Junfeng Fang, Kun Wang, Tianlong Chen, Dawei Cheng

NeurIPS 2025 G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems Guibin Zhang, Muxin Fu, Kun Wang, Guancheng Wan, Miao Yu, Shuicheng Yan

ICML 2025 GHOST: Generalizable One-Shot Federated Graph Learning with Proxy-Based Topology Knowledge Retention Jiaru Qian, Guancheng Wan, Wenke Huang, Guibin Zhang, Yuxin Wu, Bo Du, Mang Ye

NeurIPS 2025 Glocal Information Bottleneck for Time Series Imputation Jie Yang, Kexin Zhang, Guibin Zhang, Philip S. Yu, Kaize Ding

ICLR 2025 Graph Sparsification via Mixture of Graphs Guibin Zhang, Xiangguo Sun, Yanwei Yue, Chonghe Jiang, Kun Wang, Tianlong Chen, Shirui Pan

NeurIPS 2025 HYPERION: Fine-Grained Hypersphere Alignment for Robust Federated Graph Learning Guancheng Wan, Xiaoran Shang, Yuxin Wu, Guibin Zhang, Jinhe Bi, Liangtao Zheng, Xin Lin, Yue Liu, Yanbiao Ma, Wenke Huang, Bo Du

NeurIPS 2025 MOTION: Multi-Sculpt Evolutionary Coarsening for Federated Continual Graph Learning Guancheng Wan, Fengyuan Ran, Ruikang Zhang, Wenke Huang, Xuankun Rong, Guibin Zhang, Yuxin Wu, Bo Du, Mang Ye

ICML 2025 Multi-Agent Architecture Search via Agentic Supernet Guibin Zhang, Luyang Niu, Junfeng Fang, Kun Wang, Lei Bai, Xiang Wang

NeurIPS 2025 Multi-Order Orchestrated Curriculum Distillation for Model-Heterogeneous Federated Graph Learning Guancheng Wan, Xu Cheng, Run Liu, Wenke Huang, Zitong Shi, Pinyi Jin, Guibin Zhang, Bo Du, Mang Ye

NeurIPS 2025 OASIS: One-Shot Federated Graph Learning via Wasserstein Assisted Knowledge Integration Guancheng Wan, Jiaru Qian, Wenke Huang, Qilin Xu, Xianda Guo, Boheng Li, Guibin Zhang, Bo Du, Mang Ye

ICLR 2025 Rationalizing and Augmenting Dynamic Graph Neural Networks Guibin Zhang, Yiyan Qi, Ziyang Cheng, Yanwei Yue, Dawei Cheng, Jian Guo

ICML 2025 TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting Yifan Hu, Guibin Zhang, Peiyuan Liu, Disen Lan, Naiqi Li, Dawei Cheng, Tao Dai, Shu-Tao Xia, Shirui Pan

NeurIPS 2024 Beyond Efficiency: Molecular Data Pruning for Enhanced Generalization Dingshuo Chen, Zhixun Li, Yuyan Ni, Guibin Zhang, Ding Wang, Qiang Liu, Shu Wu, Jeffrey Xu Yu, Liang Wang

NeurIPS 2024 GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning Guibin Zhang, Haonan Dong, Yuchen Zhang, Zhixun Li, Dingshuo Chen, Kai Wang, Tianlong Chen, Yuxuan Liang, Dawei Cheng, Kun Wang

ICLR 2024 Graph Lottery Ticket Automated Guibin Zhang, Kun Wang, Wei Huang, Yanwei Yue, Yang Wang, Roger Zimmermann, Aojun Zhou, Dawei Cheng, Jin Zeng, Yuxuan Liang

ICLR 2024 NuwaDynamics: Discovering and Updating in Causal Spatio-Temporal Modeling Kun Wang, Hao Wu, Yifan Duan, Guibin Zhang, Kai Wang, Xiaojiang Peng, Yu Zheng, Yuxuan Liang, Yang Wang

ICML 2024 Two Heads Are Better than One: Boosting Graph Sparse Training via Semantic and Topological Awareness Guibin Zhang, Yanwei Yue, Kun Wang, Junfeng Fang, Yongduo Sui, Kai Wang, Yuxuan Liang, Dawei Cheng, Shirui Pan, Tianlong Chen