Forward modeling of gravity anomalies based on cell mergence and parallel computing. - Tao Chen 004; Guibin Zhang (Comput. Geosci., 2018)

Application and Innovation of Computer Internet of Things Technology in Logistics. - Guibin Zhang; Lifan Feng; Hongzhen Zhang; Xiaohua Cai (DPTA, 2019)

Planning and Design of Transshipment Center Platform Based on Internet of Things. - Guibin Zhang; Hongzhen Zhang; Jirong Lv (CSIA (1), 2020)

Mineral Exploration Potential Estimation Using 3D Inversion: A Comparison of Three Different Norms. - Tao Chen 004; Guibin Zhang (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)

Deep Learning for 3-D Inversion of Gravity Data. - Lianzhi Zhang; Guibin Zhang; Yao Liu; Zhenyu Fan (IEEE Trans. Geosci. Remote. Sens., 2022)

The Snowflake Hypothesis: Training Deep GNN with One Node One Receptive field. - Kun Wang 042; Guohao Li 001; Shilong Wang 002; Guibin Zhang; Kai Wang 036; Yang You 001; Xiaojiang Peng; Yuxuan Liang; Yang Wang 015 (CoRR, 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., 2023)

NuwaDynamics: Discovering and Updating in Causal Spatio-Temporal Modeling. - Kun Wang 056; Hao Wu; Yifan Duan; Guibin Zhang; Kai Wang 036; Xiaojiang Peng; Yu Zheng 004; Yuxuan Liang; Yang Wang 015 (ICLR, 2024)

Graph Lottery Ticket Automated. - Guibin Zhang; Kun Wang 056; Wei Huang 034; Yanwei Yue; Yang Wang 015; Roger Zimmermann; Aojun Zhou; Dawei Cheng; Jin Zeng; Yuxuan Liang (ICLR, 2024)

Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness. - Guibin Zhang; Yanwei Yue; Kun Wang 056; Junfeng Fang; Yongduo Sui; Kai Wang 036; Yuxuan Liang; Dawei Cheng; Shirui Pan; Tianlong Chen 001 (ICML, 2024)

The Snowflake Hypothesis: Training and Powering GNN with One Node One Receptive Field. - Kun Wang 056; Guohao Li 001; Shilong Wang 002; Guibin Zhang; Kai Wang 036; Yang You 001; Junfeng Fang; Xiaojiang Peng; Yuxuan Liang; Yang Wang 015 (KDD, 2024)

The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs. - Kun Wang 056; Guibin Zhang; Xinnan Zhang; Junfeng Fang; Xun Wu; Guohao Li 001; Shirui Pan; Wei Huang 034; Yuxuan Liang (KDD, 2024)

Beyond Efficiency: Molecular Data Pruning for Enhanced Generalization. - Dingshuo Chen; Zhixun Li; Yuyan Ni; Guibin Zhang; Ding Wang; Qiang Liu 006; 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 036; Tianlong Chen 001; Yuxuan Liang; Dawei Cheng; Kun Wang 056 (NeurIPS, 2024)

EXGC: Bridging Efficiency and Explainability in Graph Condensation. - Junfeng Fang; Xinglin Li; Yongduo Sui; Yuan Gao 020; Guibin Zhang; Kun Wang 056; Xiang Wang 010; Xiangnan He 001 (WWW, 2024)

EXGC: Bridging Efficiency and Explainability in Graph Condensation. - Junfeng Fang; Xinglin Li; Yongduo Sui; Yuan Gao 015; Guibin Zhang; Kun Wang 056; Xiang Wang 010; Xiangnan He 001 (CoRR, 2024)

CaT-GNN: Enhancing Credit Card Fraud Detection via Causal Temporal Graph Neural Networks. - Yifan Duan; Guibin Zhang; Shilong Wang 002; Xiaojiang Peng; Ziqi Wang; Junyuan Mao; Hao Wu; Xinke Jiang; Kun Wang 056 (CoRR, 2024)

DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting. - Hao Wu 094; Haomin Wen; Guibin Zhang; Yutong Xia; Kai Wang 036; Yuxuan Liang; Yu Zheng 004; Kun Wang 056 (CoRR, 2024)

All Nodes are created Not Equal: Node-Specific Layer Aggregation and Filtration for GNN. - Shilong Wang 002; Hao Wu 083; Yifan Duan; Guibin Zhang; Guohao Li 001; Yuxuan Liang; Shirui Pan; Kun Wang 042; Yang Wang 015 (CoRR, 2024)

Graph Sparsification via Mixture of Graphs. - Guibin Zhang; Xiangguo Sun; Yanwei Yue; Kun Wang 056; Tianlong Chen 001; Shirui Pan (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 018; Yuxuan Liang; Kun Wang 042; Qingsong Wen (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 042; Dawei Cheng; Jeffrey Xu Yu; Tianlong Chen 001 (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 001 (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 042; Dawei Cheng (CoRR, 2024)

GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning. - Guibin Zhang; Haonan Dong; Yuchen Zhang; Zhixun Li; Dingshuo Chen; Kai Wang 036; Tianlong Chen 001; Yuxuan Liang; Dawei Cheng; Kun Wang 042 (CoRR, 2024)

NetSafe: Exploring the Topological Safety of Multi-agent Networks. - Miao Yu; Shilong Wang 002; Guibin Zhang; Junyuan Mao; Chenlong Yin; Qijiong Liu; Qingsong Wen; Kun Wang 042; Yang Wang 015 (CoRR, 2024)

Fortune favors the invariant: Enhancing GNNs' generalizability with Invariant Graph Learning. - Guibin Zhang; Yiqiao Chen; Shiyu Wang; Kun Wang 056; Junfeng Fang (Knowl. Based Syst., 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)

Modeling Spatio-Temporal Dynamical Systems With Neural Discrete Learning and Levels-of-Experts. - Kun Wang 056; Hao Wu 083; Guibin Zhang; Junfeng Fang; Yuxuan Liang; Yuankai Wu; Roger Zimmermann; Yang Wang 015 (IEEE Trans. Knowl. Data Eng., 2024)

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

G-Safeguard: A Topology-Guided Security Lens and Treatment on LLM-based Multi-agent Systems. - Shilong Wang 002; Guibin Zhang; Miao Yu; Guancheng Wan; Fanci Meng; Chongye Guo; Kun Wang 056; Yang Wang 015 (ACL (1), 2025)

NetSafe: Exploring the Topological Safety of Multi-agent System. - Miao Yu; Shilong Wang 002; Guibin Zhang; Junyuan Mao; Chenlong Yin; Qijiong Liu; Kun Wang 056; Qingsong Wen; Yang Wang 015 (ACL (Findings), 2025)

MasRouter: Learning to Route LLMs for Multi-Agent Systems. - Yanwei Yue; Guibin Zhang; Boyang Liu; Guancheng Wan; Kun Wang 056; Dawei Cheng; Yiyan Qi (ACL (1), 2025)

FedSPA: Generalizable Federated Graph Learning under Homophily Heterogeneity. - Zihan Tan; Guancheng Wan; Wenke Huang; He Li; Guibin Zhang; Carl Yang 001; Mang Ye (CVPR, 2025)

Energy-based Backdoor Defense Against Federated Graph Learning. - Guancheng Wan; Zitong Shi; Wenke Huang; Guibin Zhang; Dacheng Tao; Mang Ye (ICLR, 2025)

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

Graph Sparsification via Mixture of Graphs. - Guibin Zhang; Xiangguo Sun; Yanwei Yue; Chonghe Jiang; Kun Wang 056; Tianlong Chen 001; Shirui Pan (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 056; Dawei Cheng; Jeffrey Xu Yu; Tianlong Chen 001 (ICLR, 2025)

DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting. - Hao Wu 094; Haomin Wen; Guibin Zhang; Yutong Xia; Yuxuan Liang; Yu Zheng 004; Qingsong Wen; Kun Wang 056 (KDD (1), 2025)

Diffusion Graph Model for Time Series Anomaly Detection via Anomaly-aware Graph Sparsification and Augmentation. - Disen Lan; Guibin Zhang; Rongjin Guo (WWW (Companion Volume), 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 001; Shu-Tao Xia; Shirui Pan (CoRR, 2025)

Multi-agent Architecture Search via Agentic Supernet. - Guibin Zhang; Luyang Niu; Junfeng Fang; Kun Wang 056; Lei Bai 001; Xiang Wang 010 (CoRR, 2025)

EvoFlow: Evolving Diverse Agentic Workflows On The Fly. - Guibin Zhang; Kaijie Chen; Guancheng Wan; Heng Chang; Hong Cheng; Kun Wang 056; Shuyue Hu; Lei Bai 001 (CoRR, 2025)

Privacy-Enhancing Paradigms within Federated Multi-Agent Systems. - Zitong Shi; Guancheng Wan; Wenke Huang; Guibin Zhang; Jiawei Shao; Mang Ye; Carl Yang 001 (CoRR, 2025)

Aligning Multimodal LLM with Human Preference: A Survey. - Tao Yu; Yifan Zhang 004; Chaoyou Fu; Junkang Wu; Jinda Lu; Kun Wang 056; Xingyu Lu; Yunhang Shen; Guibin Zhang; Dingjie Song; Yibo Yan; Tianlong Xu; et al. (CoRR, 2025)

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment. - Kun Wang 056; Guibin Zhang; Zhenhong Zhou; Jiahao Wu; Miao Yu; Shiqian Zhao; Chenlong Yin; Jinhu Fu; Yibo Yan; Hanjun Luo; Liang Lin; Zhihao Xu; et al. (CoRR, 2025)

UniErase: Unlearning Token as a Universal Erasure Primitive for Language Models. - Miao Yu; Liang Lin; Guibin Zhang; Xinfeng Li; Junfeng Fang; Ningyu Zhang 001; Kun Wang 056; Yang Wang 015 (CoRR, 2025)

Enhancing Attribute-Driven Fraud Detection With Risk-Aware Graph Representation. - Sheng Xiang; Guibin Zhang; Dawei Cheng; Ying Zhang 001 (IEEE Trans. Knowl. Data Eng., 2025)

Goal-Aware Identification and Rectification of Misinformation in Multi-Agent Systems. - Zherui Li 001; Yan Mi; Zhenhong Zhou; Houcheng Jiang; Guibin Zhang; Kun Wang 056; Junfeng Fang (CoRR, 2025)

AgentAuditor: Human-Level Safety and Security Evaluation for LLM Agents. - Hanjun Luo; Shenyu Dai; Chiming Ni; Xinfeng Li; Guibin Zhang; Kun Wang 056; Tongliang Liu; Hanan Salam (CoRR, 2025)

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems. - Guibin Zhang; Muxin Fu; Guancheng Wan; Miao Yu; Kun Wang 056; Shuicheng Yan (CoRR, 2025)

Graph-Augmented Large Language Model Agents: Current Progress and Future Prospects. - Yixin Liu 001; Guibin Zhang; Kun Wang; Shiyuan Li; Shirui Pan (CoRR, 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 025; Siwei Liu 001; Zihao Li; Zhaochun Ren; Nikos Aletras; et al. (CoRR, 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 003 (CoRR, 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 003; Kun Wang 056; Qingsong Wen (CoRR, 2025)