Guibin Zhang

According to our database, Guibin Zhang authored at least 25 papers between 2018 and 2024.

Collaborative distances:

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

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

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

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

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

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

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

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