Guibin Zhang

According to our database, Guibin Zhang authored at least 56 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

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

CoRR, August, 2025

Glo-DMU: A Deep Morphometry Framework of Ultrastructural Characterization in Glomerular Electron Microscopic Images.

Zhentai Zhang, Danyi Weng, Guibin Zhang, Xiang Chen, Kaixing Long, Jian Geng, Yanmeng Lu, Lei Zhang, Zhitao Zhou, Lei Cao

CoRR, August, 2025

A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems.

Jinyuan Fang, Yanwen Peng, Xi Zhang, Yingxu Wang, Xinhao Yi, Guibin Zhang, Yi Xu, Bin Wu, Siwei Liu, Zihao Li, Zhaochun Ren, Nikos Aletras, Xi Wang, Han Zhou, Zaiqiao Meng

CoRR, August, 2025

Graph-Augmented Large Language Model Agents: Current Progress and Future Prospects.

Yixin Liu, Guibin Zhang, Kun Wang, Shiyuan Li, Shirui Pan

CoRR, July, 2025

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems.

Guibin Zhang, Muxin Fu, Guancheng Wan, Miao Yu, Kun Wang, Shuicheng Yan

CoRR, June, 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

CoRR, June, 2025

Goal-Aware Identification and Rectification of Misinformation in Multi-Agent Systems.

Zherui Li, Yan Mi, Zhenhong Zhou, Houcheng Jiang, Guibin Zhang, Kun Wang, Junfeng Fang

CoRR, June, 2025

Enhancing Attribute-Driven Fraud Detection With Risk-Aware Graph Representation.

Sheng Xiang, Guibin Zhang, Dawei Cheng, Ying Zhang

IEEE Trans. Knowl. Data Eng., May, 2025

UniErase: Unlearning Token as a Universal Erasure Primitive for Language Models.

Miao Yu, Liang Lin, Guibin Zhang, Xinfeng Li, Junfeng Fang, Ningyu Zhang, Kun Wang, Yang Wang

CoRR, May, 2025

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment.

Kun Wang, Guibin Zhang, Zhenhong Zhou, Jiahao Wu, Miao Yu, Shiqian Zhao, Chenlong Yin, Jinhu Fu, Yibo Yan, Hanjun Luo, Liang Lin, Zhihao Xu, Haolang Lu, Xinye Cao, Xinyun Zhou, Weifei Jin, Fanci Meng, Junyuan Mao, Hao Wu, Minghe Wang, Fan Zhang, Junfeng Fang, Chengwei Liu, Yifan Zhang, Qiankun Li, Chongye Guo, Yalan Qin, Yi Ding, Donghai Hong, Jiaming Ji, Xinfeng Li, Yifan Jiang, Dongxia Wang, Yihao Huang, Yufei Guo, Jen-tse Huang, Yanwei Yue, Wenke Huang, Guancheng Wan, Tianlin Li, Lei Bai, Jie Zhang, Qing Guo, Jingyi Wang, Tianlong Chen, Joey Tianyi Zhou, Xiaojun Jia, Weisong Sun, Cong Wu, Jing Chen, Xuming Hu, Yiming Li, Xiao Wang, Ningyu Zhang, Luu Anh Tuan, Guowen Xu, Tianwei Zhang, Xingjun Ma, Xiang Wang, Bo An, Jun Sun, Mohit Bansal, Shirui Pan, Yuval Elovici, Bhavya Kailkhura, Bo Li, Yaodong Yang, Hongwei Li, Wenyuan Xu, Yizhou Sun, Wei Wang, Qing Li, Ke Tang, Yu-Gang Jiang, Felix Juefei-Xu, Hui Xiong, Xiaofeng Wang, Shuicheng Yan, Dacheng Tao, Philip S. Yu, Qingsong Wen, Yang Liu

CoRR, April, 2025

Aligning Multimodal LLM with Human Preference: A Survey.

Tao Yu, Yifan Zhang, Chaoyou Fu, Junkang Wu, Jinda Lu, Kun Wang, Xingyu Lu, Yunhang Shen, Guibin Zhang, Dingjie Song, Yibo Yan, Tianlong Xu, Qingsong Wen, Zhang Zhang, Yan Huang, Liang Wang, Tieniu Tan

CoRR, March, 2025

Privacy-Enhancing Paradigms within Federated Multi-Agent Systems.

Zitong Shi, Guancheng Wan, Wenke Huang, Guibin Zhang, Jiawei Shao, Mang Ye, Carl Yang

CoRR, March, 2025

EvoFlow: Evolving Diverse Agentic Workflows On The Fly.

Guibin Zhang, Kaijie Chen, Guancheng Wan, Heng Chang, Hong Cheng, Kun Wang, Shuyue Hu, Lei Bai

CoRR, February, 2025

Multi-agent Architecture Search via Agentic Supernet.

Guibin Zhang, Luyang Niu, Junfeng Fang, Kun Wang, Lei Bai, Xiang Wang

CoRR, February, 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

CoRR, January, 2025

Diffusion Graph Model for Time Series Anomaly Detection via Anomaly-aware Graph Sparsification and Augmentation.

Disen Lan, Guibin Zhang, Rongjin Guo

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

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

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Graph Sparsification via Mixture of Graphs.

Guibin Zhang, Xiangguo Sun, Yanwei Yue, Chonghe Jiang, Kun Wang, Tianlong Chen, Shirui Pan

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Rationalizing and Augmenting Dynamic Graph Neural Networks.

Guibin Zhang, Yiyan Qi, Ziyang Cheng, Yanwei Yue, Dawei Cheng, Jian Guo

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Energy-based Backdoor Defense Against Federated Graph Learning.

Guancheng Wan, Zitong Shi, Wenke Huang, Guibin Zhang, Dacheng Tao, Mang Ye

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

FedSPA: Generalizable Federated Graph Learning under Homophily Heterogeneity.

Zihan Tan, Guancheng Wan, Wenke Huang, He Li, Guibin Zhang, Carl Yang, Mang Ye

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

MasRouter: Learning to Route LLMs for Multi-Agent Systems.

Yanwei Yue, Guibin Zhang, Boyang Liu, Guancheng Wan, Kun Wang, Dawei Cheng, Yiyan Qi

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

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

Proceedings of the Findings of the Association for Computational Linguistics, 2025

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

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Fast Track to Winning Tickets: Repowering One-Shot Pruning for Graph Neural Networks.

Yanwei Yue, Guibin Zhang, Haoran Yang, Dawei Cheng

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Modeling Spatio-Temporal Dynamical Systems With Neural Discrete Learning and Levels-of-Experts.

Kun Wang, Hao Wu, Guibin Zhang, Junfeng Fang, Yuxuan Liang, Yuankai Wu, Roger Zimmermann, Yang Wang

IEEE Trans. Knowl. Data Eng., 2024

Improved Towed Airborne Three-Axis Magnetic Gradient Anomalies Navigation.

Supeng Xu, Zixiang Jin, Guoming Jiang, Guibin Zhang, Jian Liang, Wei Sun, Lianzhi Zhang, Zhenyu Fan, Genwang Dong

IEEE Trans. Instrum. Meas., 2024

Fortune favors the invariant: Enhancing GNNs' generalizability with Invariant Graph Learning.

Guibin Zhang, Yiqiao Chen, Shiyu Wang, Kun Wang, Junfeng Fang

Knowl. Based Syst., 2024

NetSafe: Exploring the Topological Safety of Multi-agent Networks.

Miao Yu, Shilong Wang, Guibin Zhang, Junyuan Mao, Chenlong Yin, Qijiong Liu, Qingsong Wen, Kun Wang, Yang Wang

CoRR, 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

CoRR, 2024

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, Dawei Cheng

CoRR, 2024

Revisiting and Benchmarking Graph Autoencoders: A Contrastive Learning Perspective.

Jintang Li, Ruofan Wu, Yuchang Zhu, Huizhe Zhang, Xinzhou Jin, Guibin Zhang, Zulun Zhu, Zibin Zheng, Liang Chen

CoRR, 2024

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

CoRR, 2024

Mind Scramble: Unveiling Large Language Model Psychology Via Typoglycemia.

Miao Yu, Junyuan Mao, Guibin Zhang, Jingheng Ye, Junfeng Fang, Aoxiao Zhong, Yang Liu, Yuxuan Liang, Kun Wang, Qingsong Wen

CoRR, 2024

Graph Sparsification via Mixture of Graphs.

Guibin Zhang, Xiangguo Sun, Yanwei Yue, Kun Wang, Tianlong Chen, Shirui Pan

CoRR, 2024

All Nodes are created Not Equal: Node-Specific Layer Aggregation and Filtration for GNN.

Shilong Wang, Hao Wu, Yifan Duan, Guibin Zhang, Guohao Li, Yuxuan Liang, Shirui Pan, Kun Wang, Yang Wang

CoRR, 2024

DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting.

Hao Wu, Haomin Wen, Guibin Zhang, Yutong Xia, Kai Wang, Yuxuan Liang, Yu Zheng, Kun Wang

CoRR, 2024

CaT-GNN: Enhancing Credit Card Fraud Detection via Causal Temporal Graph Neural Networks.

Yifan Duan, Guibin Zhang, Shilong Wang, Xiaojiang Peng, Ziqi Wang, Junyuan Mao, Hao Wu, Xinke Jiang, Kun Wang

CoRR, 2024

EXGC: Bridging Efficiency and Explainability in Graph Condensation.

Junfeng Fang, Xinglin Li, Yongduo Sui, Yuan Gao, Guibin Zhang, Kun Wang, Xiang Wang, Xiangnan He

CoRR, 2024

EXGC: Bridging Efficiency and Explainability in Graph Condensation.

Junfeng Fang, Xinglin Li, Yongduo Sui, Yuan Gao, Guibin Zhang, Kun Wang, Xiang Wang, Xiangnan He

Proceedings of the ACM on Web Conference 2024, 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

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

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

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

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 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

Proceedings of the Forty-first International Conference on Machine Learning, 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

Proceedings of the Twelfth International Conference on Learning Representations, 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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Research on the Medical Knowledge Deduction Based on the Semantic Relevance of Electronic Medical Record.

Zhi Qiao, Fuhui Zhang, He Lu, Yan Xu, Guibin Zhang

Int. J. Comput. Intell. Syst., December, 2023

The Snowflake Hypothesis: Training Deep GNN with One Node One Receptive field.

Kun Wang, Guohao Li, Shilong Wang, Guibin Zhang, Kai Wang, Yang You, Xiaojiang Peng, Yuxuan Liang, Yang Wang

CoRR, 2023

2022

Deep Learning for 3-D Inversion of Gravity Data.

Lianzhi Zhang, Guibin Zhang, Yao Liu, Zhenyu Fan

IEEE Trans. Geosci. Remote. Sens., 2022

A Multitask Deep Learning for Simultaneous Denoising and Inversion of 3-D Gravity Data.

Lianzhi Zhang, Guibin Zhang, Zhenyu Fan, Jianwei Ma

IEEE Trans. Geosci. Remote. Sens., 2022

Mineral Exploration Potential Estimation Using 3D Inversion: A Comparison of Three Different Norms.

Tao Chen, Guibin Zhang

Remote. Sens., 2022

2020

Planning and Design of Transshipment Center Platform Based on Internet of Things.

Guibin Zhang, Hongzhen Zhang, Jirong Lv

Proceedings of the Cyber Security Intelligence and Analytics, 2020

2019

Application and Innovation of Computer Internet of Things Technology in Logistics.

Guibin Zhang, Lifan Feng, Hongzhen Zhang, Xiaohua Cai

Proceedings of the Data Processing Techniques and Applications for Cyber-Physical Systems, 2019

2018

Forward modeling of gravity anomalies based on cell mergence and parallel computing.

Tao Chen, Guibin Zhang

Comput. Geosci., 2018