Shaofan Wang

According to our database, Shaofan Wang authored at least 66 papers between 2016 and 2025.

Collaborative distances:

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

2025

GFformer: A Graph Transformer for Extracting All Frequency Information from Large-scale Graphs.

Qi Zhang, Mengmeng Si, Yanfeng Sun, Shaofan Wang, Junbin Gao, Baocai Yin

ACM Trans. Knowl. Discov. Data, September, 2025

DGNN: Decoupled Graph Neural Networks With Structural Consistency Between Attribute and Graph Embedding Representations.

Jinlu Wang, Jipeng Guo, Yanfeng Sun, Junbin Gao, Shaofan Wang, Yachao Yang, Baocai Yin

IEEE Trans. Big Data, August, 2025

Heterogeneous Pedestrian Simulation in Commercial Complexes: When Attractive Potential Meets Social Force.

Jingxuan Peng, Zhonghua Wei, Yanyan Chen, Shaofan Wang, Yongxing Li, Shihao Wang, Taku Fujiyama

IEEE Trans. Intell. Transp. Syst., April, 2025

Redundancy is Not What You Need: An Embedding Fusion Graph Auto-Encoder for Self-Supervised Graph Representation Learning.

Mengran Li, Yong Zhang, Shaofan Wang, Yongli Hu, Baocai Yin

IEEE Trans. Neural Networks Learn. Syst., February, 2025

Training Large-Scale Graph Neural Networks via Graph Partial Pooling.

Qi Zhang, Yanfeng Sun, Shaofan Wang, Junbin Gao, Yongli Hu, Baocai Yin

IEEE Trans. Big Data, February, 2025

Contrastive Learning Meets Pseudo-label-assisted Mixup Augmentation: A Comprehensive Graph Representation Framework from Local to Global.

Jinlu Wang, Yanfeng Sun, Jiapu Wang, Junbin Gao, Shaofan Wang, Jipeng Guo

CoRR, January, 2025

Dual-Attention Transformers for Class-Incremental Learning: A Tale of Two Memories.

Shaofan Wang, Weixing Wang, Yanfeng Sun, Zhiyong Wang, Boyue Wang, Baocai Yin

IEEE Trans. Multim., 2025

Dual-Domain Division Multiplexer for General Continual Learning: A Pseudo Causal Intervention Strategy.

Jialu Wu, Shaofan Wang, Yanfeng Sun, Baocai Yin, Qingming Huang

IEEE Trans. Image Process., 2025

BiFormer: A Bipartite-stream Information Fusion framework for large-scale graph representation learning.

Qi Zhang, Yanfeng Sun, Shaofan Wang, Junbin Gao, Baocai Yin

Neural Networks, 2025

Multi-scale signed graph convolutional network based on framelet.

Yuting Chu, Fujiao Ju, Yanfeng Sun, Shaofan Wang, Junbin Gao, Baocai Yin

Neural Networks, 2025

Contrastive activation maps with superpixel rectification for weakly supervised semantic segmentation: When superpixels meet CAMs.

Huilin Shi, Yukun Liu, Shaofan Wang, Yanfeng Sun, Baocai Yin

Digit. Signal Process., 2025

UnSP: Improving event-to-image reconstruction with uncertainty guided self-paced learning.

Jianye Yang, Xiaolin Zhang, Shaofan Wang, Yanfeng Sun, Baocai Yin

Displays, 2025

Magnetic Framelet-Based Graph Contrastive Learning for Signed-Directed Graph.

Yuting Chu, Yanfeng Sun, Fujiao Ju, Junbin Gao, Shaofan Wang, Baocai Yin

Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

2024

Self-Attention Graph Convolution Imputation Network for Spatio-Temporal Traffic Data.

Xiulan Wei, Yong Zhang, Shaofan Wang, Xia Zhao, Yongli Hu, Baocai Yin

IEEE Trans. Intell. Transp. Syst., December, 2024

A Dual-Masked Deep Structural Clustering Network With Adaptive Bidirectional Information Delivery.

Yachao Yang, Yanfeng Sun, Shaofan Wang, Junbin Gao, Fujiao Ju, Baocai Yin

IEEE Trans. Neural Networks Learn. Syst., October, 2024

A dual attentional skip connection based Swin-UNet for real-time cloud segmentation.

Fuhao Wei, Shaofan Wang, Yanfeng Sun, Baocai Yin

IET Image Process., October, 2024

Nowcasting the Vehicular Control Delay From Low-Ping Frequency Trajectories via Incremental Hypergraph Learning.

Shaofan Wang, Weixing Wang, Shiyu Huang, Yuwei Han, Fuhao Wei, Baocai Yin

IEEE Trans. Veh. Technol., January, 2024

Semi-supervised Video Object Segmentation Via an Edge Attention Gated Graph Convolutional Network.

Yuqing Zhang, Yong Zhang, Shaofan Wang, Yun Liang, Baocai Yin

ACM Trans. Multim. Comput. Commun. Appl., January, 2024

Beyond low-pass filtering on large-scale graphs via Adaptive Filtering Graph Neural Networks.

Qi Zhang, Jinghua Li, Yanfeng Sun, Shaofan Wang, Junbin Gao, Baocai Yin

Neural Networks, January, 2024

Dual-Frequency Filtering Self-aware Graph Neural Networks for Homophilic and Heterophilic Graphs.

Yachao Yang, Yanfeng Sun, Jipeng Guo, Junbin Gao, Shaofan Wang, Fujiao Ju, Baocai Yin

CoRR, 2024

AutoFGNN: A Framework for Extracting All Frequency Information from Large-Scale Graphs.

Qi Zhang, Yanfeng Sun, Jipeng Guo, Shaofan Wang, Jinghua Li, Junbin Gao, Baocai Yin

Proceedings of the IEEE International Conference on Acoustics, 2024

Multi-graph Fusion and Virtual Node Enhanced Graph Neural Networks.

Yachao Yang, Yanfeng Sun, Jipeng Guo, Shaofan Wang, Baocai Yin

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

Graph Neural Networks with Soft Association between Topology and Attribute.

Yachao Yang, Yanfeng Sun, Shaofan Wang, Jipeng Guo, Junbin Gao, Fujiao Ju, Baocai Yin

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A Survey of Visual Affordance Recognition Based on Deep Learning.

Dongpan Chen, Dehui Kong, Jinghua Li, Shaofan Wang, Baocai Yin

IEEE Trans. Big Data, December, 2023

A subgraph sampling method for training large-scale graph convolutional network.

Qi Zhang, Yanfeng Sun, Yongli Hu, Shaofan Wang, Baocai Yin

Inf. Sci., November, 2023

A tensorial weighted Schatten-p norm model with neighbor regularization for traffic data completion and traffic system correlation exploration.

Xiaolin Zhang, Yongbo Zhao, Shaofan Wang, Yanfeng Sun, Baocai Yin

Neurocomputing, November, 2023

CIGNet: Category-and-Intrinsic-Geometry Guided Network for 3D coarse-to-fine reconstruction.

Junna Gao, Dehui Kong, Shaofan Wang, Jinghua Li, Baocai Yin

Neurocomputing, October, 2023

Hierarchical Coupled Discriminative Dictionary Learning for Zero-Shot Learning.

Shuang Li, Lichun Wang, Shaofan Wang, Dehui Kong, Baocai Yin

IEEE Trans. Circuits Syst. Video Technol., September, 2023

Toward dynamic regulation of bidirectional automatic fare gates: A macro-to-micro simulation approach.

Jingxuan Peng, Zhonghua Wei, Shaofan Wang, Shi Qiu

Simul. Model. Pract. Theory, April, 2023

SACNet: Shuffling atrous convolutional U-Net for medical image segmentation.

Shaofan Wang, Yukun Liu, Yanfeng Sun, Baocai Yin

IET Image Process., March, 2023

PASIFTNet: Scale-and-Directional-Aware Semantic Segmentation of Point Clouds.

Shaofan Wang, Ying Liu, Lichun Wang, Yanfeng Sun, Baocai Yin

Comput. Aided Des., March, 2023

Multi-graph Fusion Graph Convolutional Networks with pseudo-label supervision.

Yachao Yang, Yanfeng Sun, Fujiao Ju, Shaofan Wang, Junbin Gao, Baocai Yin

Neural Networks, January, 2023

Adaptive hypergraph superpixels.

Shaofan Wang, Jiaqi Lan, Jing Lin, Yukun Liu, Lichun Wang, Baocai Yin

Displays, January, 2023

DASI: Learning Domain Adaptive Shape Impression for 3D Object Reconstruction.

Junna Gao, Dehui Kong, Shaofan Wang, Jinghua Li, Baocai Yin

IEEE Trans. Multim., 2023

2022

How Many Facilities are Needed? Evaluating Configurations of Subway Security Check Systems via a Hybrid Queueing Model.

Zhonghua Wei, Jingxuan Liang, Shi Qiu, Shaofan Wang, Sheng Liu

IEEE Trans. Intell. Transp. Syst., 2022

What Size of Aisle Is Necessary? a System Dynamics Model for Mitigating Bottleneck Congestion in Entrance Halls of Metro Stations.

Jingxuan Peng, Zhonghua Wei, Yang Yang, Wenjuan Wang, Shi Qiu, Shaofan Wang

IEEE Trans. Intell. Transp. Syst., 2022

Real-Time Human Action Recognition Using Locally Aggregated Kinematic-Guided Skeletonlet and Supervised Hashing-by-Analysis Model.

Bin Sun, Shaofan Wang, Dehui Kong, Lichun Wang, Baocai Yin

IEEE Trans. Cybern., 2022

Recommending Fine-Grained Tool Consistent With Common Sense Knowledge for Robot.

Jianjia Xin, Lichun Wang, Shaofan Wang, Yukun Liu, Chao Yang, Baocai Yin

IEEE Robotics Autom. Lett., 2022

Adaptive graph convolutional clustering network with optimal probabilistic graph.

Jiayi Zhao, Jipeng Guo, Yanfeng Sun, Junbin Gao, Shaofan Wang, Baocai Yin

Neural Networks, 2022

HPGCN: Hierarchical poselet-guided graph convolutional network for 3D pose estimation.

Yongpeng Wu, Dehui Kong, Shaofan Wang, Jinghua Li, Baocai Yin

Neurocomputing, 2022

2021

Discriminative matrix-variate restricted Boltzmann machine classification model.

Jinghua Li, Pengyu Tian, Dehui Kong, Lichun Wang, Shaofan Wang, Baocai Yin

Wirel. Networks, 2021

3D human body skeleton extraction from consecutive surfaces using a spatial-temporal consistency model.

Yong Zhang, Fei Tan, Shaofan Wang, Baocai Yin

Vis. Comput., 2021

Hardness-Aware Dictionary Learning: Boosting Dictionary for Recognition.

Lichun Wang, Shuang Li, Shaofan Wang, Dehui Kong, Baocai Yin

IEEE Trans. Multim., 2021

DLGAN: Depth-Preserving Latent Generative Adversarial Network for 3D Reconstruction.

Caixia Liu, Dehui Kong, Shaofan Wang, Jinghua Li, Baocai Yin

IEEE Trans. Multim., 2021

Joint Transferable Dictionary Learning and View Adaptation for Multi-view Human Action Recognition.

Bin Sun, Dehui Kong, Shaofan Wang, Lichun Wang, Baocai Yin

ACM Trans. Knowl. Discov. Data, 2021

A Low Rank Dynamic Mode Decomposition Model for Short-Term Traffic Flow Prediction.

Yadong Yu, Yong Zhang, Sean Qian, Shaofan Wang, Yongli Hu, Baocai Yin

IEEE Trans. Intell. Transp. Syst., 2021

An improved ℓ ₁ median model for extracting 3D human body curve-skeleton.

Yong Zhang, Lufei Chen, Fei Tan, Shaofan Wang, Baocai Yin

Multim. Tools Appl., 2021

Deep3D reconstruction: methods, data, and challenges.

Caixia Liu, Dehui Kong, Shaofan Wang, Zhiyong Wang, Jinghua Li, Baocai Yin

Frontiers Inf. Technol. Electron. Eng., 2021

Attentive 3D-Ghost Module for Dynamic Hand Gesture Recognition with Positive Knowledge Transfer.

Jinghua Li, Runze Liu, Dehui Kong, Shaofan Wang, Lichun Wang, Baocai Yin, Ronghua Gao

Comput. Intell. Neurosci., 2021

Zero-shot Recognition with Image Attributes Generation using Hierarchical Coupled Dictionary Learning.

Shuang Li, Lichun Wang, Shaofan Wang, Dehui Kong, Baocai Yin

Proceedings of the MMAsia '21: ACM Multimedia Asia, Gold Coast, Australia, December 1, 2021

Latent Feature-Aware and Local Structure-Preserving Network for 3D Completion from a Single Depth View.

Caixia Liu, Dehui Kong, Shaofan Wang, Jinghua Li, Baocai Yin

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Spatial-temporal-spectral transformer for 3D human pose estimation.

Yongpeng Wu, Dehui Kong, Shaofan Wang, Jinghua Li, Baocai Yin

Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021

2020

An Unsupervised Real-Time Framework of Human Pose Tracking From Range Image Sequences.

Yongpeng Wu, Dehui Kong, Shaofan Wang, Jinghua Li, Baocai Yin

IEEE Trans. Multim., 2020

Matrix-variate variational auto-encoder with applications to image process.

Jinghua Li, Huixia Yan, Junbin Gao, Dehui Kong, Lichun Wang, Shaofan Wang, Baocai Yin

J. Vis. Commun. Image Represent., 2020

2019

Toward Periodicity Correlation of Roadside PM_2.5 Concentration and Traffic Volume: A Wavelet Perspective.

Zhonghua Wei, Jingxuan Peng, Xinwang Ma, Shi Qiu, Shaofan Wang

IEEE Trans. Veh. Technol., 2019

Unsupervised Learning of Human Pose Distance Metric via Sparsity Locality Preserving Projections.

Shaofan Wang, Yongjia Xin, Dehui Kong, Baocai Yin

IEEE Trans. Multim., 2019

Effective human action recognition using global and local offsets of skeleton joints.

Bin Sun, Dehui Kong, Shaofan Wang, Lichun Wang, Yuping Wang, Baocai Yin

Multim. Tools Appl., 2019

3D human pose estimation from range images with depth difference and geodesic distance.

Wenhui Zhang, Dehui Kong, Shaofan Wang, Zhiyong Wang

J. Vis. Commun. Image Represent., 2019

Detecting Pickpocketing Gangs on Buses with Smart Card Data.

Xia Zhao, Yong Zhang, Hao Liu, Shaofan Wang, Zhen Sean Qian, Yongli Hu, Baocai Yin

IEEE Intell. Transp. Syst. Mag., 2019

Multi-Source Traffic Data Reconstruction Using Joint Low-Rank and Fundamental Diagram Constraints.

Yang Wang, Yong Zhang, Zhen Sean Qian, Shaofan Wang, Yongli Hu, Baocai Yin

IEEE Intell. Transp. Syst. Mag., 2019

Feature Fusion Use Unsupervised Prior Knowledge to Let Small Object Represent.

Tian Liu, Lichun Wang, Shaofan Wang

CoRR, 2019

Matrix-Variate Restricted Boltzmann Machine Classification Model.

Jinghua Li, Pengyu Tian, Dehui Kong, Lichun Wang, Shaofan Wang, Baocai Yin

Proceedings of the Simulation Tools and Techniques - 11th International Conference, 2019

3D Human Body Skeleton Extraction from Consecutive Surfaces.

Yong Zhang, Fei Tan, Shaofan Wang, Dehui Kong, Baocai Yin

Proceedings of the 27th Pacific Conference on Computer Graphics and Applications, 2019

2017

Adaptive Geometry Images for Remeshing.

Lina Shi, Dehui Kong, Shaofan Wang, Baocai Yin

Int. J. Digit. Multim. Broadcast., 2017

2016

Sparse Pose Regression via Componentwise Clustering Feature Point Representation.

Honglin Liu, Dehui Kong, Shaofan Wang, Baocai Yin

IEEE Trans. Multim., 2016

Hand Depth Image Denoising and Superresolution via Noise-Aware Dictionaries.

Huayang Li, Dehui Kong, Shaofan Wang, Baocai Yin

J. Electr. Comput. Eng., 2016