Guibin Zhang

According to our database, Guibin Zhang authored at least 95 papers between 2018 and 2026.

Collaborative distances:

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

2026

Scalable Environments Drive Generalizable Agents.

Jiayi Zhang, Fanqi Kong, Guibin Zhang, Maojia Song, Zhaoyang Yu, Jianhao Ruan, Jinyu Xiang, Bang Liu, Chenglin Wu, Yuyu Luo

CoRR, May, 2026

Mem-W: Latent Memory-Native GUI Agents.

Guibin Zhang, Yaohui Ling, Fanci Meng, Kun Wang, Shuicheng Yan

CoRR, May, 2026

PASK: Toward Intent-Aware Proactive Agents with Long-Term Memory.

Zhifei Xie, Hu Zongzheng, Fangda Ye, Xin Zhang, Haobo Chai, Zihang Liu, Pengcheng Wu, Guibin Zhang, Yue Liao, Xiao-Hu You, Deheng Ye, Chunyan Miao, Shuicheng Yan

CoRR, April, 2026

The Latent Space: Foundation, Evolution, Mechanism, Ability, and Outlook.

Xinlei Yu, Zhangquan Chen, Yongbo He, Tianyu Fu, Cheng Yang, Chengming Xu, Yue Ma, Xiaobin Hu, Zhe Cao, Jie Xu, Guibin Zhang, Jiale Tao, Jiayi Zhang, Siyuan Ma, Kaituo Feng, Haojie Huang, Youxing Li, Ronghao Chen, Huacan Wang, Chenglin Wu, Zikun Su, Xiaogang Xu, Kelu Yao, Kun Wang, Chen Gao, Yue Liao, Ruqi Huang, Tao Jin, Cheng Tan, Jiangning Zhang, Wenqi Ren, Yanwei Fu, Yong Liu, Yu Wang, Xiangyu Yue, Yu-Gang Jiang, Shuicheng Yan

CoRR, April, 2026

EcoGym: Evaluating LLMs for Long-Horizon Plan-and-Execute in Interactive Economies.

Xavier Hu, Jinxiang Xia, Shengze Xu, Kangqi Song, Yishuo Yuan, Guibin Zhang, JinCheng Ren, Boyu Feng, Li Lu, Tieyong Zeng, Jiaheng Liu, Minghao Liu, He Zhu, Yuchen Eleanor Jiang, Wei Wang, Wangchunshu Zhou

CoRR, February, 2026

TodoEvolve: Learning to Architect Agent Planning Systems.

Jiaxi Liu, Yanzuo Jiang, Guibin Zhang, Zihan Zhang, Heng Chang, Zhenfei Yin, Qibing Ren, Junchi Yan

CoRR, February, 2026

Active Label Cleaning for Reliable Detection of Electron Dense Deposits in Transmission Electron Microscopy Images.

Jieyun Tan, Shuo Liu, Guibin Zhang, Ziqi Li, Jian Geng, Lei Zhang, Lei Cao

CoRR, February, 2026

LatentMem: Customizing Latent Memory for Multi-Agent Systems.

Muxin Fu, Guibin Zhang, Xiangyuan Xue, Yafu Li, Zefeng He, Siyuan Huang, Xiaoye Qu, Yu Cheng, Yang Yang

CoRR, February, 2026

ToolTok: Tool Tokenization for Efficient and Generalizable GUI Agents.

Xiaoce Wang, Guibin Zhang, Junzhe Li, Jinzhe Tu, Chun Li, Ming Li

CoRR, February, 2026

A-MapReduce: Executing Wide Search via Agentic MapReduce.

Mingju Chen, Guibin Zhang, Heng Chang, Yuchen Guo, Shiji Zhou

CoRR, February, 2026

Mem-T: Densifying Rewards for Long-Horizon Memory Agents.

Yanwei Yue, Guibin Zhang, Boci Peng, Xuanbo Fan, Jiaxin Guo, Qiankun Li, Yan Zhang

CoRR, January, 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

Trans. Mach. Learn. Res., 2026

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

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

IEEE Intell. Syst., 2026

EvoRoute: Experience-Driven Self-Routing LLM Agent Systems.

Guibin Zhang, Haiyang Yu, Kaiming Yang, Bingli Wu, Fei Huang, Yongbin Li, Shuicheng Yan

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

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

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

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

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

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

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

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

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Logistics supply chain security risk warning system based on CNN-PSO encryption algorithm.

Lifan Feng, Guibin Zhang, Hongxia Gu, Min Feng, Cheng Wang

Neural Comput. Appl., December, 2025

MemEvolve: Meta-Evolution of Agent Memory Systems.

Guibin Zhang, Haotian Ren, Chong Zhan, Zhenhong Zhou, Junhao Wang, He Zhu, Wangchunshu Zhou, Shuicheng Yan

CoRR, December, 2025

Memory in the Age of AI Agents.

Yuyang Hu, Shichun Liu, Yanwei Yue, Guibin Zhang, Boyang Liu, Fangyi Zhu, Jiahang Lin, Honglin Guo, Shihan Dou, Zhiheng Xi, Senjie Jin, Jiejun Tan, Yanbin Yin, Jiongnan Liu, Zeyu Zhang, Zhongxiang Sun, Yutao Zhu, Hao Sun, Boci Peng, Zhenrong Cheng, Xuanbo Fan, Jiaxin Guo, Xinlei Yu, Zhenhong Zhou, Zewen Hu, Jiahao Huo, Junhao Wang, Yuwei Niu, Yu Wang, Zhenfei Yin, Xiaobin Hu, Yue Liao, Qiankun Li, Kun Wang, Wangchunshu Zhou, Yixin Liu, Dawei Cheng, Qi Zhang, Tao Gui, Shirui Pan, Yan Zhang, Philip Torr, Zhicheng Dou, Ji-Rong Wen, Xuanjing Huang, Yu-Gang Jiang, Shuicheng Yan

CoRR, December, 2025

VisMem: Latent Vision Memory Unlocks Potential of Vision-Language Models.

Xinlei Yu, Chengming Xu, Guibin Zhang, Zhangquan Chen, Yudong Zhang, Yongbo He, Peng-Tao Jiang, Jiangning Zhang, Xiaobin Hu, Shuicheng Yan

CoRR, November, 2025

CoMAS: Co-Evolving Multi-Agent Systems via Interaction Rewards.

Xiangyuan Xue, Yifan Zhou, Guibin Zhang, Zaibin Zhang, Yijiang Li, Chen Zhang, Zhenfei Yin, Philip Torr, Wanli Ouyang, Lei Bai

CoRR, October, 2025

AgentAsk: Multi-Agent Systems Need to Ask.

Bohan Li, Kuo Yang, Yingchuan Lai, Yu-Dong Zhang, Chen Zhang, Guibin Zhang, Xinlei Yu, Miao Yu, Xu Wang, Yang Wang

CoRR, October, 2025

Scaling Behaviors of LLM Reinforcement Learning Post-Training: An Empirical Study in Mathematical Reasoning.

Zelin Tan, Hejia Geng, Mulei Zhang, Xiaohang Yu, Guancheng Wan, Yifan Zhou, Qiang He, Xiangyuan Xue, Heng Zhou, Yutao Fan, Zhongzhi Li, Zaibin Zhang, Guibin Zhang, Chen Zhang, Zhenfei Yin, Lei Bai

CoRR, September, 2025

LatentEvolve: Self-Evolving Test-Time Scaling in Latent Space.

Guibin Zhang, Fanci Meng, Guancheng Wan, Zherui Li, Kun Wang, Zhenfei Yin, Lei Bai, Shuicheng Yan

CoRR, September, 2025

MemGen: Weaving Generative Latent Memory for Self-Evolving Agents.

Guibin Zhang, Muxin Fu, Shuicheng Yan

CoRR, September, 2025

OrthAlign: Orthogonal Subspace Decomposition for Non-Interfering Multi-Objective Alignment.

Liang Lin, Zhihao Xu, Junhao Dong, Jian Zhao, Yuchen Yuan, Guibin Zhang, Miao Yu, Yiming Zhang, Zhengtao Yao, Huahui Yi, Dongrui Liu, Xinfeng Li, Kun Wang

CoRR, September, 2025

MAS²: Self-Generative, Self-Configuring, Self-Rectifying Multi-Agent Systems.

Kun Wang, Guibin Zhang, ManKit Ye, Xinyu Deng, Dongxia Wang, Xiaobin Hu, Jinyang Guo, Yang Liu, Yufei Guo

CoRR, September, 2025

Diagnose, Localize, Align: A Full-Stack Framework for Reliable LLM Multi-Agent Systems under Instruction Conflicts.

Guancheng Wan, Leixin Sun, Longxu Dou, Zitong Shi, Fang Wu, Eric Hanchen Jiang, Wenke Huang, Guibin Zhang, Hejia Geng, Xiangru Tang, Zhenfei Yin, Yizhou Sun, Wei Wang

CoRR, September, 2025

Visual Multi-Agent System: Mitigating Hallucination Snowballing via Visual Flow.

Xinlei Yu, Chengming Xu, Guibin Zhang, Yongbo He, Zhangquan Chen, Zhucun Xue, Jiangning Zhang, Yue Liao, Xiaobin Hu, Yu-Gang Jiang, Shuicheng Yan

CoRR, September, 2025

Aegis: Automated Error Generation and Identification for Multi-Agent Systems.

Fanqi Kong, Ruijie Zhang, Huaxiao Yin, Guibin Zhang, Xiaofei Zhang, Ziang Chen, Zhaowei Zhang, Xiaoyuan Zhang, Song-Chun Zhu, Xue Feng

CoRR, September, 2025

AgenTracer: Who Is Inducing Failure in the LLM Agentic Systems?

Guibin Zhang, Junhao Wang, Junjie Chen, Wangchunshu Zhou, Kun Wang, Shuicheng Yan

CoRR, September, 2025

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey.

Guibin Zhang, Hejia Geng, Xiaohang Yu, Zhenfei Yin, Zaibin Zhang, Zelin Tan, Heng Zhou, Zhongzhi Li, Xiangyuan Xue, Yijiang Li, Yifan Zhou, Yang Chen, Chen Zhang, Yutao Fan, Zihu Wang, Songtao Huang, Yue Liao, Hongru Wang, Mengyue Yang, Heng Ji, Michael Littman, Jun Wang, Shuicheng Yan, Philip Torr, Lei Bai

CoRR, September, 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

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

Glocal Information Bottleneck for Time Series Imputation.

Jie Yang, Kexin Zhang, Guibin Zhang, Philip S. Yu, Kaize Ding

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

OASIS: One-Shot Federated Graph Learning via Wasserstein Assisted Knowledge Integration.

Frank Wan, Jiaru Qian, Wenke Huang, Qilin Xu, Xianda Guo, Boheng Li, Guibin Zhang, Bo Du, Mang Ye

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Pask: Providing Answer before AsKing toward Proactive AI agent.

Zhifei Xie, Hu Zongzheng, Guibin Zhang, Jialin Zhang, Yue Liao, Chunyan Miao, Shuicheng Yan

Proceedings of the 33rd ACM International Conference on Multimedia, 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

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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Multi-agent Architecture Search via Agentic Supernet.

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

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

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

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

Proceedings of the Forty-second International Conference on Machine Learning, 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 Thirty-Ninth AAAI Conference on Artificial Intelligence, 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 37: 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 37: 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