Hand Depth Image Denoising and Superresolution via Noise-Aware Dictionaries. - Huayang Li; Dehui Kong; Shaofan Wang 001; Baocai Yin (J. Electr. Comput. Eng., 2016)

Sparse Pose Regression via Componentwise Clustering Feature Point Representation. - Honglin Liu; Dehui Kong; Shaofan Wang 001; Baocai Yin (IEEE Trans. Multim., 2016)

Adaptive Geometry Images for Remeshing. - Lina Shi; Dehui Kong; Shaofan Wang 001; Baocai Yin (Int. J. Digit. Multim. Broadcast., 2017)

3D Human Body Skeleton Extraction from Consecutive Surfaces. - Yong Zhang 029; Fei Tan; Shaofan Wang 001; Dehui Kong; Baocai Yin (PG (Short Papers), 2019)

Matrix-Variate Restricted Boltzmann Machine Classification Model. - Jinghua Li; Pengyu Tian; Dehui Kong; Lichun Wang 002; Shaofan Wang 001; Baocai Yin (SimuTools, 2019)

Feature Fusion Use Unsupervised Prior Knowledge to Let Small Object Represent. - Tian Liu; Lichun Wang 002; Shaofan Wang 001 (CoRR, 2019)

Multi-Source Traffic Data Reconstruction Using Joint Low-Rank and Fundamental Diagram Constraints. - Yang Wang 068; Yong Zhang 029; Zhen Sean Qian; Shaofan Wang 001; Yongli Hu; Baocai Yin (IEEE Intell. Transp. Syst. Mag., 2019)

Detecting Pickpocketing Gangs on Buses with Smart Card Data. - Xia Zhao 003; Yong Zhang 029; Hao Liu 040; Shaofan Wang 001; Zhen Sean Qian; Yongli Hu; Baocai Yin (IEEE Intell. Transp. Syst. Mag., 2019)

3D human pose estimation from range images with depth difference and geodesic distance. - Wenhui Zhang; Dehui Kong; Shaofan Wang 001; Zhiyong Wang 001 (J. Vis. Commun. Image Represent., 2019)

Effective human action recognition using global and local offsets of skeleton joints. - Bin Sun; Dehui Kong; Shaofan Wang 001; Lichun Wang 002; Yuping Wang; Baocai Yin (Multim. Tools Appl., 2019)

Unsupervised Learning of Human Pose Distance Metric via Sparsity Locality Preserving Projections. - Shaofan Wang 001; Yongjia Xin; Dehui Kong; Baocai Yin (IEEE Trans. Multim., 2019)

Toward Periodicity Correlation of Roadside PM2.5 Concentration and Traffic Volume: A Wavelet Perspective. - Zhonghua Wei; Jingxuan Peng; Xinwang Ma; Shi Qiu; Shaofan Wang 001 (IEEE Trans. Veh. Technol., 2019)

Matrix-variate variational auto-encoder with applications to image process. - Jinghua Li; Huixia Yan; Junbin Gao; Dehui Kong; Lichun Wang 002; Shaofan Wang 001; Baocai Yin (J. Vis. Commun. Image Represent., 2020)

An Unsupervised Real-Time Framework of Human Pose Tracking From Range Image Sequences. - Yongpeng Wu 002; Dehui Kong; Shaofan Wang 001; Jinghua Li; Baocai Yin (IEEE Trans. Multim., 2020)

Spatial-temporal-spectral transformer for 3D human pose estimation. - Yongpeng Wu 002; Dehui Kong; Shaofan Wang 001; Jinghua Li; Baocai Yin (HPCC/DSS/SmartCity/DependSys, 2021)

Latent Feature-Aware and Local Structure-Preserving Network for 3D Completion from a Single Depth View. - Caixia Liu; Dehui Kong; Shaofan Wang 001; Jinghua Li; Baocai Yin (ICANN (2), 2021)

Zero-shot Recognition with Image Attributes Generation using Hierarchical Coupled Dictionary Learning. - Shuang Li; Lichun Wang 002; Shaofan Wang 001; Dehui Kong; Baocai Yin (MMAsia, 2021)

Attentive 3D-Ghost Module for Dynamic Hand Gesture Recognition with Positive Knowledge Transfer. - Jinghua Li; Runze Liu; Dehui Kong; Shaofan Wang 001; Lichun Wang 002; Baocai Yin; Ronghua Gao (Comput. Intell. Neurosci., 2021)

Deep3D reconstruction: methods, data, and challenges. - Caixia Liu; Dehui Kong; Shaofan Wang 001; Zhiyong Wang 001; Jinghua Li; Baocai Yin (Frontiers Inf. Technol. Electron. Eng., 2021)

An improved ℓ 1 median model for extracting 3D human body curve-skeleton. - Yong Zhang 029; Lufei Chen; Fei Tan; Shaofan Wang 001; Baocai Yin (Multim. Tools Appl., 2021)

A Low Rank Dynamic Mode Decomposition Model for Short-Term Traffic Flow Prediction. - Yadong Yu; Yong Zhang 029; Sean Qian; Shaofan Wang 001; Yongli Hu; Baocai Yin (IEEE Trans. Intell. Transp. Syst., 2021)

Joint Transferable Dictionary Learning and View Adaptation for Multi-view Human Action Recognition. - Bin Sun; Dehui Kong; Shaofan Wang 001; Lichun Wang 002; Baocai Yin (ACM Trans. Knowl. Discov. Data, 2021)

DLGAN: Depth-Preserving Latent Generative Adversarial Network for 3D Reconstruction. - Caixia Liu; Dehui Kong; Shaofan Wang 001; Jinghua Li; Baocai Yin (IEEE Trans. Multim., 2021)

Hardness-Aware Dictionary Learning: Boosting Dictionary for Recognition. - Lichun Wang 002; Shuang Li; Shaofan Wang 001; Dehui Kong; Baocai Yin (IEEE Trans. Multim., 2021)

3D human body skeleton extraction from consecutive surfaces using a spatial-temporal consistency model. - Yong Zhang 029; Fei Tan; Shaofan Wang 001; Baocai Yin (Vis. Comput., 2021)

Discriminative matrix-variate restricted Boltzmann machine classification model. - Jinghua Li; Pengyu Tian; Dehui Kong; Lichun Wang 002; Shaofan Wang 001; Baocai Yin (Wirel. Networks, 2021)

HPGCN: Hierarchical poselet-guided graph convolutional network for 3D pose estimation. - Yongpeng Wu 002; Dehui Kong; Shaofan Wang 001; Jinghua Li; Baocai Yin (Neurocomputing, 2022)

Adaptive graph convolutional clustering network with optimal probabilistic graph. - Jiayi Zhao; Jipeng Guo 001; Yanfeng Sun; Junbin Gao; Shaofan Wang 001; Baocai Yin (Neural Networks, 2022)

Recommending Fine-Grained Tool Consistent With Common Sense Knowledge for Robot. - Jianjia Xin; Lichun Wang 002; Shaofan Wang 001; Yukun Liu; Chao Yang 040; Baocai Yin (IEEE Robotics Autom. Lett., 2022)

Real-Time Human Action Recognition Using Locally Aggregated Kinematic-Guided Skeletonlet and Supervised Hashing-by-Analysis Model. - Bin Sun; Shaofan Wang 001; Dehui Kong; Lichun Wang 002; Baocai Yin (IEEE Trans. Cybern., 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 001 (IEEE Trans. Intell. Transp. Syst., 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 001; Sheng Liu (IEEE Trans. Intell. Transp. Syst., 2022)

DASI: Learning Domain Adaptive Shape Impression for 3D Object Reconstruction. - Junna Gao; Dehui Kong; Shaofan Wang 001; Jinghua Li; Baocai Yin (IEEE Trans. Multim., 2023)

Adaptive hypergraph superpixels. - Shaofan Wang 001; Jiaqi Lan; Jing Lin; Yukun Liu; Lichun Wang 002; Baocai Yin (Displays, 2023)

Multi-graph Fusion Graph Convolutional Networks with pseudo-label supervision. - Yachao Yang; Yanfeng Sun; Fujiao Ju; Shaofan Wang 001; Junbin Gao; Baocai Yin (Neural Networks, 2023)

PASIFTNet: Scale-and-Directional-Aware Semantic Segmentation of Point Clouds. - Shaofan Wang 001; Ying Liu; Lichun Wang 002; Yanfeng Sun; Baocai Yin (Comput. Aided Des., 2023)

SACNet: Shuffling atrous convolutional U-Net for medical image segmentation. - Shaofan Wang 001; Yukun Liu; Yanfeng Sun; Baocai Yin (IET Image Process., 2023)

Toward dynamic regulation of bidirectional automatic fare gates: A macro-to-micro simulation approach. - Jingxuan Peng; Zhonghua Wei; Shaofan Wang 001; Shi Qiu (Simul. Model. Pract. Theory, 2023)

Hierarchical Coupled Discriminative Dictionary Learning for Zero-Shot Learning. - Shuang Li; Lichun Wang 002; Shaofan Wang 001; Dehui Kong; Baocai Yin (IEEE Trans. Circuits Syst. Video Technol., 2023)

CIGNet: Category-and-Intrinsic-Geometry Guided Network for 3D coarse-to-fine reconstruction. - Junna Gao; Dehui Kong; Shaofan Wang 001; Jinghua Li; Baocai Yin (Neurocomputing, 2023)

A tensorial weighted Schatten-p norm model with neighbor regularization for traffic data completion and traffic system correlation exploration. - Xiaolin Zhang; Yongbo Zhao 003; Shaofan Wang 001; Yanfeng Sun; Baocai Yin (Neurocomputing, 2023)

A subgraph sampling method for training large-scale graph convolutional network. - Qi Zhang 095; Yanfeng Sun; Yongli Hu; Shaofan Wang 001; Baocai Yin (Inf. Sci., 2023)

A Survey of Visual Affordance Recognition Based on Deep Learning. - Dongpan Chen; Dehui Kong; Jinghua Li; Shaofan Wang 001; Baocai Yin (IEEE Trans. Big Data, 2023)

Graph Neural Networks with Soft Association between Topology and Attribute. - Yachao Yang; Yanfeng Sun; Shaofan Wang 001; Jipeng Guo 001; Junbin Gao; Fujiao Ju; Baocai Yin (AAAI, 2024)

Multi-graph Fusion and Virtual Node Enhanced Graph Neural Networks. - Yachao Yang; Yanfeng Sun; Jipeng Guo 001; Shaofan Wang 001; Baocai Yin (ICANN (5), 2024)

AutoFGNN: A Framework for Extracting All Frequency Information from Large-Scale Graphs. - Qi Zhang 095; Yanfeng Sun; Jipeng Guo 001; Shaofan Wang 001; Jinghua Li; Junbin Gao; Baocai Yin (ICASSP, 2024)

Dual-Frequency Filtering Self-aware Graph Neural Networks for Homophilic and Heterophilic Graphs. - Yachao Yang; Yanfeng Sun; Jipeng Guo 001; Junbin Gao; Shaofan Wang 001; Fujiao Ju; Baocai Yin (CoRR, 2024)

Beyond low-pass filtering on large-scale graphs via Adaptive Filtering Graph Neural Networks. - Qi Zhang 095; Jinghua Li; Yanfeng Sun; Shaofan Wang 001; Junbin Gao; Baocai Yin (Neural Networks, 2024)

Semi-supervised Video Object Segmentation Via an Edge Attention Gated Graph Convolutional Network. - Yuqing Zhang; Yong Zhang 029; Shaofan Wang 001; Yun Liang 003; Baocai Yin (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Nowcasting the Vehicular Control Delay From Low-Ping Frequency Trajectories via Incremental Hypergraph Learning. - Shaofan Wang 001; Weixing Wang; Shiyu Huang 003; Yuwei Han; Fuhao Wei; Baocai Yin (IEEE Trans. Veh. Technol., 2024)

A dual attentional skip connection based Swin-UNet for real-time cloud segmentation. - Fuhao Wei; Shaofan Wang 001; Yanfeng Sun; Baocai Yin (IET Image Process., 2024)

A Dual-Masked Deep Structural Clustering Network With Adaptive Bidirectional Information Delivery. - Yachao Yang; Yanfeng Sun; Shaofan Wang 001; Junbin Gao; Fujiao Ju; Baocai Yin (IEEE Trans. Neural Networks Learn. Syst., 2024)

Self-Attention Graph Convolution Imputation Network for Spatio-Temporal Traffic Data. - Xiulan Wei; Yong Zhang 029; Shaofan Wang 001; Xia Zhao 003; Yongli Hu; Baocai Yin (IEEE Trans. Intell. Transp. Syst., 2024)

Magnetic Framelet-Based Graph Contrastive Learning for Signed-Directed Graph. - Yuting Chu; Yanfeng Sun; Fujiao Ju; Junbin Gao; Shaofan Wang 001; Baocai Yin (ICME, 2025)

UnSP: Improving event-to-image reconstruction with uncertainty guided self-paced learning. - Jianye Yang; Xiaolin Zhang; Shaofan Wang 001; Yanfeng Sun; Baocai Yin (Displays, 2025)

Contrastive activation maps with superpixel rectification for weakly supervised semantic segmentation: When superpixels meet CAMs. - Huilin Shi; Yukun Liu; Shaofan Wang 001; Yanfeng Sun; Baocai Yin (Digit. Signal Process., 2025)

Multi-scale signed graph convolutional network based on framelet. - Yuting Chu; Fujiao Ju; Yanfeng Sun; Shaofan Wang 001; Junbin Gao; Baocai Yin (Neural Networks, 2025)

BiFormer: A Bipartite-stream Information Fusion framework for large-scale graph representation learning. - Qi Zhang 095; Yanfeng Sun; Shaofan Wang 001; Junbin Gao; Baocai Yin (Neural Networks, 2025)

Dual-Domain Division Multiplexer for General Continual Learning: A Pseudo Causal Intervention Strategy. - Jialu Wu; Shaofan Wang 001; Yanfeng Sun; Baocai Yin; Qingming Huang (IEEE Trans. Image Process., 2025)

Dual-Attention Transformers for Class-Incremental Learning: A Tale of Two Memories. - Shaofan Wang 001; Weixing Wang; Yanfeng Sun; Zhiyong Wang 001; Boyue Wang; Baocai Yin (IEEE Trans. Multim., 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 001; Jipeng Guo 001 (CoRR, 2025)

Training Large-Scale Graph Neural Networks via Graph Partial Pooling. - Qi Zhang 095; Yanfeng Sun; Shaofan Wang 001; Junbin Gao; Yongli Hu; Baocai Yin (IEEE Trans. Big Data, 2025)

Redundancy is Not What You Need: An Embedding Fusion Graph Auto-Encoder for Self-Supervised Graph Representation Learning. - Mengran Li 001; Yong Zhang 029; Shaofan Wang 001; Yongli Hu; Baocai Yin (IEEE Trans. Neural Networks Learn. Syst., 2025)

Heterogeneous Pedestrian Simulation in Commercial Complexes: When Attractive Potential Meets Social Force. - Jingxuan Peng; Zhonghua Wei; Yanyan Chen; Shaofan Wang 001; Yongxing Li; Shihao Wang; Taku Fujiyama (IEEE Trans. Intell. Transp. Syst., 2025)

DGNN: Decoupled Graph Neural Networks With Structural Consistency Between Attribute and Graph Embedding Representations. - Jinlu Wang; Jipeng Guo 001; Yanfeng Sun; Junbin Gao; Shaofan Wang 001; Yachao Yang; Baocai Yin (IEEE Trans. Big Data, 2025)

GFformer: A Graph Transformer for Extracting All Frequency Information from Large-scale Graphs. - Qi Zhang 095; Mengmeng Si; Yanfeng Sun; Shaofan Wang 001; Junbin Gao; Baocai Yin (ACM Trans. Knowl. Discov. Data, 2025)