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ORCIDBeibei Wang 0006
Person information
- affiliation: Anhui University, School of Computer Science and Technology, Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, Hefei, China
Other persons with the same name
- Beibei Wang — disambiguation page
- Beibei Wang 0001
![[0000-0001-7100-0815]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-7100-0815")
— Origin Wireless, Rockville, MD, USA (and 1 more) - Beibei Wang 0002 — Nanjing University of Science and Technolog, Nanjing, China (and 1 more)
- Beibei Wang 0003 — Jilin University, College of Computer Science and Technology, Changchun, China
- Beibei Wang 0004 — Ohio University, Athens, OH, USA
- Beibei Wang 0005 — Polytechnic University, Brooklyn, NY, USA
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2020 – today
- 2025
[j11]Beibei Wang, Bo Jiang, Jin Tang, Lu Bai, Bin Luo:
Graph Spiking Attention Network: Sparsity, Efficiency and Robustness. IEEE Trans. Pattern Anal. Mach. Intell. 47(11): 10862-10869 (2025)- [i8]Xixi Wan, Aihua Zheng, Bo Jiang, Beibei Wang, Chenglong Li, Jin Tang:
UGG-ReID: Uncertainty-Guided Graph Model for Multi-Modal Object Re-Identification. CoRR abs/2507.04638 (2025) - [i7]Bo Jiang, Xueyang Ze, Beibei Wang, Xixi Wang, Xixi Wan, Bin Luo:
Beyond Graph Model: Reliable VLM Fine-Tuning via Random Graph Adapter. CoRR abs/2507.10355 (2025) - 2024
- [j10]Bo Jiang, Ziyan Zhang, Sheng Ge, Beibei Wang, Xiao Wang, Jin Tang:
Learning Graph Attentions via Replicator Dynamics. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 7720-7727 (2024) - [j9]Bo Jiang, Yong Chen, Beibei Wang, Haiyun Xu, Jin Tang:
GDCNet: Graph Enrichment Learning via Graph Dropping Convolutional Networks. IEEE Trans. Neural Networks Learn. Syst. 35(11): 16975-16980 (2024) - [j8]Beibei Wang, Bo Jiang, Chris Ding:
FL-GNNs: Robust Network Representation via Feature Learning Guided Graph Neural Networks. IEEE Trans. Netw. Sci. Eng. 11(1): 750-760 (2024) - [i6]Bo Jiang, Hao Wu, Ziyan Zhang, Beibei Wang, Jin Tang:
A Unified Graph Selective Prompt Learning for Graph Neural Networks. CoRR abs/2406.10498 (2024) - [i5]Bo Jiang, Sheng Ge, Ziyan Zhang, Beibei Wang, Jin Tang, Bin Luo:
Graph Edge Representation via Tensor Product Graph Convolutional Representation. CoRR abs/2406.14846 (2024) - [i4]Bo Jiang, Hao Wu, Beibei Wang, Jin Tang, Bin Luo:
Reliable and Compact Graph Fine-tuning via GraphSparse Prompting. CoRR abs/2410.21749 (2024) - 2023
- [j7]Bo Jiang, Yong Chen, Beibei Wang, Haiyun Xu, Bin Luo:
DropAGG: Robust Graph Neural Networks via Drop Aggregation. Neural Networks 163: 65-74 (2023) - [j6]Bo Jiang, Beibei Wang, Si Chen, Jin Tang, Bin Luo:
Graph Neural Network Meets Sparse Representation: Graph Sparse Neural Networks via Exclusive Group Lasso. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 12692-12698 (2023) - [j5]Beibei Wang, Bo Jiang, Jin Tang, Bin Luo:
Generalizing Aggregation Functions in GNNs: Building High Capacity and Robust GNNs via Nonlinear Aggregation. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13454-13466 (2023) - [j4]Bo Jiang, Beibei Wang, Bin Luo:
Sparse norm regularized attribute selection for graph neural networks. Pattern Recognit. 137: 109265 (2023) - [j3]Beibei Wang, Bo Jiang:
Data Representation via Attribute Selection- Propagation Neural Network. IEEE Trans. Signal Inf. Process. over Networks 9: 258-267 (2023) - 2022
- [j2]Bo Jiang, Si Chen, Beibei Wang, Bin Luo:
MGLNN: Semi-supervised learning via Multiple Graph Cooperative Learning Neural Networks. Neural Networks 153: 204-214 (2022) - [j1]Bo Jiang, Beibei Wang, Jin Tang, Bin Luo:
GeCNs: Graph Elastic Convolutional Networks for Data Representation. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 4935-4947 (2022) - [i3]Beibei Wang, Bo Jiang:
Generalizing Aggregation Functions in GNNs: High-Capacity GNNs via Nonlinear Neighborhood Aggregators. CoRR abs/2202.09145 (2022) - [i2]Beibei Wang, Bo Jiang:
Spiking GATs: Learning Graph Attentions via Spiking Neural Network. CoRR abs/2209.13539 (2022)
2010 – 2019
- 2019
- [i1]Bo Jiang, Beibei Wang, Jin Tang, Bin Luo:
Graph Mask Convolutional Network. CoRR abs/1910.01735 (2019)
Coauthor Index
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