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ORCIDShaofan Wang
- > Home > Persons > Shaofan Wang
Publications
- 2025
[j78]Jianye Yang, Xiaolin Zhang, Shaofan Wang
, Yanfeng Sun, Baocai Yin:
UnSP: Improving event-to-image reconstruction with uncertainty guided self-paced learning. Displays 87: 102985 (2025)- [j77]Huilin Shi, Yukun Liu, Shaofan Wang, Yanfeng Sun, Baocai Yin:
Contrastive activation maps with superpixel rectification for weakly supervised semantic segmentation: When superpixels meet CAMs. Digit. Signal Process. 162: 105196 (2025) - [j74]Ning Zhu, Shaofan Wang, Yanfeng Sun, Baocai Yin:
Uncertainty-guided recurrent prototype distillation for graph few-shot class-incremental learning. Multim. Syst. 31(3): 196 (2025) - [j73]Yuting Chu, Fujiao Ju, Yanfeng Sun, Shaofan Wang, Junbin Gao, Baocai Yin:
Multi-scale signed graph convolutional network based on framelet. Neural Networks 191: 107693 (2025) - [j72]Qi Zhang, Yanfeng Sun, Shaofan Wang, Junbin Gao, Baocai Yin:
BiFormer: A Bipartite-stream Information Fusion framework for large-scale graph representation learning. Neural Networks 191: 107792 (2025) - [j71]Yanfeng Sun, Jiaxing Zhang, Qi Zhang, Shaofan Wang, Baocai Yin:
United diverse subgraph for graph incremental learning. Pattern Recognit. Lett. 196: 206-212 (2025) - [j70]Qi Zhang, Yanfeng Sun, Shaofan Wang, Junbin Gao, Yongli Hu, Baocai Yin:
Training Large-Scale Graph Neural Networks via Graph Partial Pooling. IEEE Trans. Big Data 11(1): 221-233 (2025) - [j69]Jinlu Wang, Jipeng Guo, Yanfeng Sun, Junbin Gao, Shaofan Wang, Yachao Yang, Baocai Yin:
DGNN: Decoupled Graph Neural Networks With Structural Consistency Between Attribute and Graph Embedding Representations. IEEE Trans. Big Data 11(4): 1813-1827 (2025) - [j67]Jialu Wu, Shaofan Wang, Yanfeng Sun, Baocai Yin, Qingming Huang:
Dual-Domain Division Multiplexer for General Continual Learning: A Pseudo Causal Intervention Strategy. IEEE Trans. Image Process. 34: 1966-1979 (2025) - [i9]Jinlu Wang, Yanfeng Sun, Jiapu Wang, Junbin Gao, Shaofan Wang, Jipeng Guo:
Contrastive Learning Meets Pseudo-label-assisted Mixup Augmentation: A Comprehensive Graph Representation Framework from Local to Global. CoRR abs/2501.18357 (2025) - 2024
- [j64]Yanfeng Sun, Yujia Wang, Shaofan Wang:
Nia-GNNs: neighbor-imbalanced aware graph neural networks for imbalanced node classification. Appl. Intell. 54(17-18): 7941-7957 (2024) - [j63]Fuhao Wei, Shaofan Wang, Yanfeng Sun, Baocai Yin:
A dual attentional skip connection based Swin-UNet for real-time cloud segmentation. IET Image Process. 18(12): 3460-3479 (2024) - [j61]Qi Zhang, Jinghua Li, Yanfeng Sun, Shaofan Wang, Junbin Gao, Baocai Yin:
Beyond low-pass filtering on large-scale graphs via Adaptive Filtering Graph Neural Networks. Neural Networks 169: 1-10 (2024) - [j57]Yachao Yang, Yanfeng Sun, Shaofan Wang, Junbin Gao, Fujiao Ju, Baocai Yin:
A Dual-Masked Deep Structural Clustering Network With Adaptive Bidirectional Information Delivery. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14783-14796 (2024) - [c16]Yachao Yang, Yanfeng Sun, Shaofan Wang, Jipeng Guo, Junbin Gao, Fujiao Ju, Baocai Yin:
Graph Neural Networks with Soft Association between Topology and Attribute. AAAI 2024: 9260-9268 - [c15]Yachao Yang, Yanfeng Sun, Jipeng Guo, Shaofan Wang, Baocai Yin:
Multi-graph Fusion and Virtual Node Enhanced Graph Neural Networks. ICANN (5) 2024: 190-201 - [c14]Qi Zhang, Yanfeng Sun, Jipeng Guo, Shaofan Wang, Jinghua Li, Junbin Gao, Baocai Yin:
AutoFGNN: A Framework for Extracting All Frequency Information from Large-Scale Graphs. ICASSP 2024: 4970-4974 - [i7]Jinlu Wang, Jipeng Guo, Yanfeng Sun, Junbin Gao, Shaofan Wang, Yachao Yang, Baocai Yin:
DGNN: Decoupled Graph Neural Networks with Structural Consistency between Attribute and Graph Embedding Representations. CoRR abs/2401.15584 (2024) - [i6]Yachao Yang, Yanfeng Sun, Jipeng Guo, Junbin Gao, Shaofan Wang, Fujiao Ju, Baocai Yin:
Dual-Frequency Filtering Self-aware Graph Neural Networks for Homophilic and Heterophilic Graphs. CoRR abs/2411.11284 (2024) - 2023
- [j53]Shaofan Wang, Ying Liu, Lichun Wang, Yanfeng Sun, Baocai Yin:
PASIFTNet: Scale-and-Directional-Aware Semantic Segmentation of Point Clouds. Comput. Aided Des. 156: 103462 (2023) - [j51]Shaofan Wang, Yukun Liu, Yanfeng Sun, Baocai Yin:
SACNet: Shuffling atrous convolutional U-Net for medical image segmentation. IET Image Process. 17(4): 1236-1252 (2023) - [j48]Xiaolin Zhang, Yongbo Zhao, Shaofan Wang, Yanfeng Sun, Baocai Yin:
A tensorial weighted Schatten-p norm model with neighbor regularization for traffic data completion and traffic system correlation exploration. Neurocomputing 559: 126765 (2023) - [j47]Qi Zhang, Yanfeng Sun, Yongli Hu, Shaofan Wang, Baocai Yin:
A subgraph sampling method for training large-scale graph convolutional network. Inf. Sci. 649: 119661 (2023) - [j46]Yachao Yang, Yanfeng Sun, Fujiao Ju, Shaofan Wang, Junbin Gao, Baocai Yin:
Multi-graph Fusion Graph Convolutional Networks with pseudo-label supervision. Neural Networks 158: 305-317 (2023) - 2022
- [j37]Jiayi Zhao, Jipeng Guo, Yanfeng Sun, Junbin Gao, Shaofan Wang, Baocai Yin:
Adaptive graph convolutional clustering network with optimal probabilistic graph. Neural Networks 156: 271-284 (2022)
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