Beibei Wang

22 papers Journal 21Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
When Prompting Meets Spiking: Graph Sparse Prompting via Spiking Graph Prompt Learning.
CoRR
Bo Jiang, Weijun Zhao, Beibei Wang, Jin Tang
2025 J jnl
Beyond Graph Model: Reliable VLM Fine-Tuning via Random Graph Adapter.
CoRR
Bo Jiang, Xueyang Ze, Beibei Wang, Xixi Wang, Xixi Wan, Bin Luo
2025 J jnl
Graph Spiking Attention Network: Sparsity, Efficiency and Robustness.
IEEE Trans. Pattern Anal. Mach. Intell.
Beibei Wang, Bo Jiang, Jin Tang, Lu Bai, Bin Luo
2025 J jnl
Robust and Generalizable GNN Fine-Tuning via Uncertainty-aware Adapter Learning.
CoRR
Bo Jiang, Weijun Zhao, Beibei Wang, Xiao Wang, Jin Tang
2025 J jnl
UGG-ReID: Uncertainty-Guided Graph Model for Multi-Modal Object Re-Identification.
CoRR
Xixi Wan, Aihua Zheng, Bo Jiang, Beibei Wang, Chenglong Li, Jin Tang
2025 — conf
Uncertain-GMamba: Graph Mamba with Uncertainty-Guided Node Sorting.
PRCV (4)
Yuting Zhang, Beibei Wang, Bo Jiang
2024 J jnl
A Unified Graph Selective Prompt Learning for Graph Neural Networks.
CoRR
Bo Jiang, Hao Wu, Ziyan Zhang, Beibei Wang, Jin Tang
2024 J jnl
FL-GNNs: Robust Network Representation via Feature Learning Guided Graph Neural Networks.
IEEE Trans. Netw. Sci. Eng.
Beibei Wang, Bo Jiang, Chris Ding
2024 J jnl
GDCNet: Graph Enrichment Learning via Graph Dropping Convolutional Networks.
IEEE Trans. Neural Networks Learn. Syst.
Bo Jiang, Yong Chen, Beibei Wang, Haiyun Xu, Jin Tang
2024 J jnl
Graph Edge Representation via Tensor Product Graph Convolutional Representation.
CoRR
Bo Jiang, Sheng Ge, Ziyan Zhang, Beibei Wang, Jin Tang, Bin Luo
2024 J jnl
Learning Graph Attentions via Replicator Dynamics.
IEEE Trans. Pattern Anal. Mach. Intell.
Bo Jiang, Ziyan Zhang, Sheng Ge, Beibei Wang, Xiao Wang, Jin Tang
2024 J jnl
Reliable and Compact Graph Fine-tuning via GraphSparse Prompting.
CoRR
Bo Jiang, Hao Wu, Beibei Wang, Jin Tang, Bin Luo
2023 J jnl
Data Representation via Attribute Selection- Propagation Neural Network.
IEEE Trans. Signal Inf. Process. over Networks
Beibei Wang, Bo Jiang
2023 J jnl
DropAGG: Robust Graph Neural Networks via Drop Aggregation.
Neural Networks
Bo Jiang, Yong Chen, Beibei Wang, Haiyun Xu, Bin Luo
2023 J jnl
Generalizing Aggregation Functions in GNNs: Building High Capacity and Robust GNNs via Nonlinear Aggregation.
IEEE Trans. Pattern Anal. Mach. Intell.
Beibei Wang, Bo Jiang, Jin Tang, Bin Luo
2023 J jnl
Graph Neural Network Meets Sparse Representation: Graph Sparse Neural Networks via Exclusive Group Lasso.
IEEE Trans. Pattern Anal. Mach. Intell.
Bo Jiang, Beibei Wang, Si Chen, Jin Tang, Bin Luo
2023 J jnl
Sparse norm regularized attribute selection for graph neural networks.
Pattern Recognit.
Bo Jiang, Beibei Wang, Bin Luo
2022 J jnl
GeCNs: Graph Elastic Convolutional Networks for Data Representation.
IEEE Trans. Pattern Anal. Mach. Intell.
Bo Jiang, Beibei Wang, Jin Tang, Bin Luo
2022 J jnl
Generalizing Aggregation Functions in GNNs: High-Capacity GNNs via Nonlinear Neighborhood Aggregators.
CoRR
Beibei Wang, Bo Jiang
2022 J jnl
MGLNN: Semi-supervised learning via Multiple Graph Cooperative Learning Neural Networks.
Neural Networks
Bo Jiang, Si Chen, Beibei Wang, Bin Luo
2022 J jnl
Spiking GATs: Learning Graph Attentions via Spiking Neural Network.
CoRR
Beibei Wang, Bo Jiang
2019 J jnl
Graph Mask Convolutional Network.
CoRR
Bo Jiang, Beibei Wang, Jin Tang, Bin Luo