Guibin Zhang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
27
Venues
7
Active years
2024–2026
Best venue rank
A*
Where they publish
Papers
27 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | DAWN: Distributed LLM Multi-Agent Workflow Synthesis. | Guancheng Wan, Mo Zhou, Ziyi Wang, Xiaoran Shang, Eric Hanchen Jiang, Guibin Zhang, Jinhe Bi, Yunpu Ma, Zaixi Zhang, Ke Liang, Wenke Huang |
| 2026 | AAAI | SafeSieve: From Heuristics to Experience in Progressive Pruning for LLM-based Multi-Agent Communication. | Ruijia Zhang, Xinyan Zhao, Ruixiang Wang, Sigen Chen, Guibin Zhang, An Zhang, Kun Wang, Qingsong Wen |
| 2026 | ACL | AgentAsk: Multi-Agent Systems Need to Ask. | Bohan Lin, Kuo Yang, Zelin Tan, Yingchuan Lai, Chen Zhang, Guibin Zhang, Xinlei Yu, Miao Yu, Xu Wang, Yu-Dong Zhang, Yang Wang |
| 2026 | ACL | Scaling Behaviors of LLM Reinforcement Learning Post-Training: An Empirical Study in Mathematical Reasoning. | Zelin Tan, Hejia Geng, Xiaohang Yu, Mulei Zhang, Guancheng Wan, Yifan Zhou, Qiang He, Xiangyuan Xue, Heng Zhou, Yutao Fan, Zhong-Zhi Li, Zaibin Zhang, Guibin Zhang, Chen Zhang, Zhenfei Yin, Philip Torr, Lei Bai |
| 2026 | ACL | EvoRoute: Experience-Driven Self-Routing LLM Agent Systems. | Guibin Zhang, Haiyang Yu, Kaiming Yang, Bingli Wu, Fei Huang, Yongbin Li, Shuicheng Yan |
| 2025 | AAAI | Fast Track to Winning Tickets: Repowering One-Shot Pruning for Graph Neural Networks. | Yanwei Yue, Guibin Zhang, Haoran Yang, Dawei Cheng |
| 2025 | ACL | G-Safeguard: A Topology-Guided Security Lens and Treatment on LLM-based Multi-agent Systems. | Shilong Wang, Guibin Zhang, Miao Yu, Guancheng Wan, Fanci Meng, Chongye Guo, Kun Wang, Yang Wang |
| 2025 | ACL | MasRouter: Learning to Route LLMs for Multi-Agent Systems. | Yanwei Yue, Guibin Zhang, Boyang Liu, Guancheng Wan, Kun Wang, Dawei Cheng, Yiyan Qi |
| 2025 | ACL | NetSafe: Exploring the Topological Safety of Multi-agent System. | Miao Yu, Shilong Wang, Guibin Zhang, Junyuan Mao, Chenlong Yin, Qijiong Liu, Kun Wang, Qingsong Wen, Yang Wang |
| 2025 | CVPR | FedSPA: Generalizable Federated Graph Learning under Homophily Heterogeneity. | Zihan Tan, Guancheng Wan, Wenke Huang, He Li, Guibin Zhang, Carl Yang, Mang Ye |
| 2025 | ICLR | Energy-based Backdoor Defense Against Federated Graph Learning. | Guancheng Wan, Zitong Shi, Wenke Huang, Guibin Zhang, Dacheng Tao, Mang Ye |
| 2025 | ICLR | Rationalizing and Augmenting Dynamic Graph Neural Networks. | Guibin Zhang, Yiyan Qi, Ziyang Cheng, Yanwei Yue, Dawei Cheng, Jian Guo |
| 2025 | ICLR | Graph Sparsification via Mixture of Graphs. | Guibin Zhang, Xiangguo Sun, Yanwei Yue, Chonghe Jiang, Kun Wang, Tianlong Chen, Shirui Pan |
| 2025 | ICLR | 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 |
| 2025 | ICML | 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 |
| 2025 | ICML | 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 |
| 2025 | ICML | 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 |
| 2025 | ICML | Multi-agent Architecture Search via Agentic Supernet. | Guibin Zhang, Luyang Niu, Junfeng Fang, Kun Wang, Lei Bai, Xiang Wang |
| 2025 | ICML | 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 |
| 2025 | KDD | DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting. | Hao Wu, Haomin Wen, Guibin Zhang, Yutong Xia, Yuxuan Liang, Yu Zheng, Qingsong Wen, Kun Wang |
| 2025 | WWW | Diffusion Graph Model for Time Series Anomaly Detection via Anomaly-aware Graph Sparsification and Augmentation. | Disen Lan, Guibin Zhang, Rongjin Guo |
| 2024 | ICLR | 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 |
| 2024 | ICLR | Graph Lottery Ticket Automated. | Guibin Zhang, Kun Wang, Wei Huang, Yanwei Yue, Yang Wang, Roger Zimmermann, Aojun Zhou, Dawei Cheng, Jin Zeng, Yuxuan Liang |
| 2024 | ICML | 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 |
| 2024 | KDD | The Snowflake Hypothesis: Training and Powering GNN with One Node One Receptive Field. | Kun Wang, Guohao Li, Shilong Wang, Guibin Zhang, Kai Wang, Yang You, Junfeng Fang, Xiaojiang Peng, Yuxuan Liang, Yang Wang |
| 2024 | KDD | The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs. | Kun Wang, Guibin Zhang, Xinnan Zhang, Junfeng Fang, Xun Wu, Guohao Li, Shirui Pan, Wei Huang, Yuxuan Liang |
| 2024 | WWW | EXGC: Bridging Efficiency and Explainability in Graph Condensation. | Junfeng Fang, Xinglin Li, Yongduo Sui, Yuan Gao, Guibin Zhang, Kun Wang, Xiang Wang, Xiangnan He |