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2020 – today
- 2024
[j7]Guibin Zhang
, Yiqiao Chen, Shiyu Wang, Kun Wang, Junfeng Fang:
Fortune favors the invariant: Enhancing GNNs' generalizability with Invariant Graph Learning. Knowl. Based Syst. 292: 111620 (2024)- [j6]Supeng Xu, Zixiang Jin, Guoming Jiang, Guibin Zhang, Jian Liang, Wei Sun, Lianzhi Zhang, Zhenyu Fan, Genwang Dong:
Improved Towed Airborne Three-Axis Magnetic Gradient Anomalies Navigation. IEEE Trans. Instrum. Meas. 73: 1-12 (2024) - [c8]Kun Wang, Hao Wu, Yifan Duan, Guibin Zhang, Kai Wang, Xiaojiang Peng, Yu Zheng, Yuxuan Liang, Yang Wang:
NuwaDynamics: Discovering and Updating in Causal Spatio-Temporal Modeling. ICLR 2024 - [c7]Guibin Zhang, Kun Wang, Wei Huang, Yanwei Yue, Yang Wang, Roger Zimmermann, Aojun Zhou, Dawei Cheng, Jin Zeng, Yuxuan Liang:
Graph Lottery Ticket Automated. ICLR 2024 - [c6]Guibin Zhang, Yanwei Yue, Kun Wang, Junfeng Fang, Yongduo Sui, Kai Wang, Yuxuan Liang, Dawei Cheng, Shirui Pan, Tianlong Chen:
Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness. ICML 2024 - [c5]Kun Wang, Guohao Li, Shilong Wang, Guibin Zhang, Kai Wang, Yang You, Junfeng Fang, Xiaojiang Peng, Yuxuan Liang, Yang Wang:
The Snowflake Hypothesis: Training and Powering GNN with One Node One Receptive Field. KDD 2024: 3152-3163 - [c4]Kun Wang, Guibin Zhang, Xinnan Zhang, Junfeng Fang, Xun Wu, Guohao Li, Shirui Pan, Wei Huang, Yuxuan Liang:
The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs. KDD 2024: 3164-3175 - [c3]Junfeng Fang, Xinglin Li, Yongduo Sui, Yuan Gao, Guibin Zhang, Kun Wang, Xiang Wang, Xiangnan He:
EXGC: Bridging Efficiency and Explainability in Graph Condensation. WWW 2024: 721-732 - [i10]Guibin Zhang, Yanwei Yue, Kun Wang, Junfeng Fang, Yongduo Sui, Kai Wang, Yuxuan Liang, Dawei Cheng, Shirui Pan, Tianlong Chen:
Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness. CoRR abs/2402.01242 (2024) - [i9]Junfeng Fang, Xinglin Li, Yongduo Sui, Yuan Gao, Guibin Zhang, Kun Wang, Xiang Wang, Xiangnan He:
EXGC: Bridging Efficiency and Explainability in Graph Condensation. CoRR abs/2402.05962 (2024) - [i8]Kun Wang, Hao Wu, Guibin Zhang, Junfeng Fang, Yuxuan Liang, Yuankai Wu, Roger Zimmermann, Yang Wang:
Modeling Spatio-temporal Dynamical Systems with Neural Discrete Learning and Levels-of-Experts. CoRR abs/2402.05970 (2024) - [i7]Yifan Duan, Guibin Zhang, Shilong Wang, Xiaojiang Peng, Ziqi Wang, Junyuan Mao, Hao Wu, Xinke Jiang, Kun Wang:
CaT-GNN: Enhancing Credit Card Fraud Detection via Causal Temporal Graph Neural Networks. CoRR abs/2402.14708 (2024) - [i6]Hao Wu, Haomin Wen, Guibin Zhang, Yutong Xia, Kai Wang, Yuxuan Liang, Yu Zheng, Kun Wang:
DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting. CoRR abs/2403.02914 (2024) - [i5]Shilong Wang, Hao Wu, Yifan Duan, Guibin Zhang, Guohao Li, Yuxuan Liang, Shirui Pan, Kun Wang, Yang Wang:
All Nodes are created Not Equal: Node-Specific Layer Aggregation and Filtration for GNN. CoRR abs/2405.07892 (2024) - [i4]Guibin Zhang, Xiangguo Sun, Yanwei Yue, Kun Wang, Tianlong Chen, Shirui Pan:
Graph Sparsification via Mixture of Graphs. CoRR abs/2405.14260 (2024) - [i3]Kun Wang, Guibin Zhang, Xinnan Zhang, Junfeng Fang, Xun Wu, Guohao Li, Shirui Pan, Wei Huang, Yuxuan Liang:
The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs. CoRR abs/2406.12539 (2024) - [i2]Dingshuo Chen, Zhixun Li, Yuyan Ni, Guibin Zhang, Ding Wang, Qiang Liu, Shu Wu, Jeffrey Xu Yu, Liang Wang:
Beyond Efficiency: Molecular Data Pruning for Enhanced Generalization. CoRR abs/2409.01081 (2024) - 2023
- [j5]Zhi Qiao, Fuhui Zhang, He Lu, Yan Xu, Guibin Zhang:
Research on the Medical Knowledge Deduction Based on the Semantic Relevance of Electronic Medical Record. Int. J. Comput. Intell. Syst. 16(1): 38 (2023) - [i1]Kun Wang, Guohao Li, Shilong Wang, Guibin Zhang, Kai Wang, Yang You, Xiaojiang Peng, Yuxuan Liang, Yang Wang:
The Snowflake Hypothesis: Training Deep GNN with One Node One Receptive field. CoRR abs/2308.10051 (2023) - 2022
- [j4]Tao Chen, Guibin Zhang:
Mineral Exploration Potential Estimation Using 3D Inversion: A Comparison of Three Different Norms. Remote. Sens. 14(11): 2537 (2022) - [j3]Lianzhi Zhang, Guibin Zhang, Zhenyu Fan, Jianwei Ma:
A Multitask Deep Learning for Simultaneous Denoising and Inversion of 3-D Gravity Data. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j2]Lianzhi Zhang, Guibin Zhang, Yao Liu, Zhenyu Fan:
Deep Learning for 3-D Inversion of Gravity Data. IEEE Trans. Geosci. Remote. Sens. 60: 1-18 (2022) - 2020
- [c2]Guibin Zhang, Hongzhen Zhang, Jirong Lv:
Planning and Design of Transshipment Center Platform Based on Internet of Things. CSIA (1) 2020: 531-537
2010 – 2019
- 2019
- [c1]Guibin Zhang, Lifan Feng, Hongzhen Zhang, Xiaohua Cai:
Application and Innovation of Computer Internet of Things Technology in Logistics. DPTA 2019: 999-1006 - 2018
- [j1]Tao Chen, Guibin Zhang:
Forward modeling of gravity anomalies based on cell mergence and parallel computing. Comput. Geosci. 120: 1-9 (2018)
Coauthor Index
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