A New Facial Feature Extraction Method Based on Linear Combination Model . - Yongli Hu; Baocai Yin; Dehui Kong (Web Intelligence, 2003)

Resampling Based Method for Pixel-wise Correspondence between 3D Faces. - Chunliang Gu; Baocai Yin; Yongli Hu; Shiquan Cheng (ITCC (1), 2004)

Multi-lighting 3D face morphable model based on mesh resampling. - Yongli Hu; Baocai Yin; Yanfeng Sun (ICASSP (2), 2005)

An Automatic Non-rigid Point Matching Method for Dense 3D Face Scans. - Yongli Hu; Mingquan Zhou; Zhongke Wu (ICCSA Workshops, 2009)

The implementation of e-learning tools to enhance undergraduate bioinformatics teaching and learning: a case study in the National University of Singapore. - Shen Jean Lim; Asif Mohammad Khan; Mark De Silva; Kuan Siong Lim; Yongli Hu; Chay Hoon Tan; Tin Wee Tan (BMC Bioinform., 2009)

A Dense Point-to-Point Alignment Method for Realistic 3D Face Morphing and Animation. - Yongli Hu; Mingquan Zhou; Zhongke Wu (Int. J. Comput. Games Technol., 2009)

Supervised sparsity preserving projections for face recognition. - Yanfeng Sun; Jiangang Zhao; Yongli Hu (ICDIP, 2011)

An Automatic Multi-sample 3D Face Registration Method Based on Thin Plate Spline and Deformable Model. - Wenyu Qin; Yongli Hu; Yanfeng Sun; Baocai Yin (ICME Workshops, 2012)

Craniofacial reconstruction based on a hierarchical dense deformable model. - Yongli Hu; Fuqing Duan; Mingquan Zhou; Yanfeng Sun; Baocai Yin (EURASIP J. Adv. Signal Process., 2012)

Efficient Data Gathering in Wireless Sensor Networks Based on Low Rank Approximation. - Xinglin Piao; Yongli Hu; Yanfeng Sun; Baocai Yin (GreenCom/iThings/CPScom, 2013)

A robust sparse representation framework for depth map restoration. - Xien Liu; Yanfeng Sun; Yongli Hu; Baocai Yin (ICME Workshops, 2013)

A hierarchical dense deformable model for 3D face reconstruction from skull. - Yongli Hu; Fuqing Duan; Baocai Yin; Mingquan Zhou; Yanfeng Sun; Zhongke Wu; Guohua Geng (Multim. Tools Appl., 2013)

3D face recognition using local binary patterns. - Hengliang Tang; Baocai Yin; Yanfeng Sun; Yongli Hu (Signal Process., 2013)

Low Rank Representation on Grassmann Manifolds. - Boyue Wang; Yongli Hu; Junbin Gao; Yanfeng Sun; Baocai Yin (ACCV (1), 2014)

Craniofacial reconstruction based on multi-linear subspace analysis. - Fuqing Duan; Sen Yang; Donghua Huang; Yongli Hu; Zhongke Wu; Mingquan Zhou (Multim. Tools Appl., 2014)

Color face recognition based on color image correlation similarity discriminant model. - Yanfeng Sun; Huajie Jia; Yongli Hu; Baocai Yin (Multim. Tools Appl., 2014)

Correlated Spatio-Temporal Data Collection in Wireless Sensor Networks Based on Low Rank Matrix Approximation and Optimized Node Sampling. - Xinglin Piao; Yongli Hu; Yanfeng Sun; Baocai Yin; Junbin Gao (Sensors, 2014)

Fast Optimization Algorithm on Riemannian Manifolds and Its Application in Low-Rank Representation. - Haoran Chen; Yanfeng Sun; Junbin Gao; Yongli Hu (CoRR, 2015)

Kernelized Low Rank Representation on Grassmann Manifolds. - Boyue Wang; Yongli Hu; Junbin Gao; Yanfeng Sun; Baocai Yin (CoRR, 2015)

Low Rank Representation on Grassmann Manifolds: An Extrinsic Perspective. - Boyue Wang; Yongli Hu; Junbin Gao; Yanfeng Sun; Baocai Yin (CoRR, 2015)

Image Outlier Detection and Feature Extraction via L1-Norm-Based 2D Probabilistic PCA. - Fujiao Ju; Yanfeng Sun; Junbin Gao; Yongli Hu; Baocai Yin (IEEE Trans. Image Process., 2015)

Product Grassmann Manifold Representation and Its LRR Models. - Boyue Wang; Yongli Hu; Junbin Gao; Yanfeng Sun; Baocai Yin (AAAI, 2016)

Mixture of Bilateral-Projection Two-Dimensional Probabilistic Principal Component Analysis. - Fujiao Ju; Yanfeng Sun; Junbin Gao; Simeng Liu; Yongli Hu; Baocai Yin (CVPR, 2016)

Matrix Variate Restricted Boltzmann Machine. - Guanglei Qi; Yanfeng Sun; Junbin Gao; Yongli Hu; Jinghua Li (IJCNN, 2016)

Partial Least Squares Regression on Riemannian Manifolds and Its Application in Classifications. - Haoran Chen; Yanfeng Sun; Junbin Gao; Yongli Hu; Baocai Yin (CoRR, 2016)

Mixture of Bilateral-Projection Two-dimensional Probabilistic Principal Component Analysis. - Fujiao Ju; Yanfeng Sun; Junbin Gao; Simeng Liu; Yongli Hu (CoRR, 2016)

Matrix Variate RBM and Its Applications. - Guanglei Qi; Yanfeng Sun; Junbin Gao; Yongli Hu; Jinghua Li (CoRR, 2016)

Kernelized LRR on Grassmann Manifolds for Subspace Clustering. - Boyue Wang; Yongli Hu; Junbin Gao; Yanfeng Sun; Baocai Yin (CoRR, 2016)

Laplacian LRR on Product Grassmann Manifolds for Human Activity Clustering in Multi-Camera Video Surveillance. - Boyue Wang; Yongli Hu; Junbin Gao; Yanfeng Sun; Baocai Yin (CoRR, 2016)

Nonparametric tensor dictionary learning with beta process priors. - Fujiao Ju; Yanfeng Sun; Junbin Gao; Yongli Hu; Baocai Yin (Neurocomputing, 2016)

RSS Fingerprint Based Indoor Localization Using Sparse Representation with Spatio-Temporal Constraint. - Xinglin Piao; Yong Zhang 029; Tingshu Li; Yongli Hu; Hao Liu 040; Ke Zhang 016; Yun Ge (Sensors, 2016)

Ordered Subspace Clustering With Block-Diagonal Priors. - Fei Wu 020; Yongli Hu; Junbin Gao; Yanfeng Sun; Baocai Yin (IEEE Trans. Cybern., 2016)

Fisher discrimination-based l2, 1-norm sparse representation for face recognition. - Lu Zhao; Yong Zhang 029; Baocai Yin; Yanfeng Sun; Yongli Hu; Xinglin Piao; Qianjun Wu (Vis. Comput., 2016)

L1-2DPCA Revisit via Optimization on Product Manifolds. - Haoran Chen; Yanfeng Sun; Junbin Gao; Yongli Hu; Fujiao Ju (DICTA, 2017)

Locality Preserving Projections for Grassmann manifold. - Boyue Wang; Yongli Hu; Junbin Gao; Yanfeng Sun; Haoran Chen; Muhammad Ali 005; Baocai Yin (IJCAI, 2017)

Matrix variate RBM model with Gaussian distributions. - Simeng Liu; Yanfeng Sun; Yongli Hu; Junbin Gao; Fujiao Ju; Baocai Yin (IJCNN, 2017)

Locality Preserving Projections for Grassmann manifold. - Boyue Wang; Yongli Hu; Junbin Gao; Yanfeng Sun; Haoran Chen; Baocai Yin (CoRR, 2017)

Localized LRR on Grassmann Manifolds: An Extrinsic View. - Boyue Wang; Yongli Hu; Junbin Gao; Yanfeng Sun; Baocai Yin (CoRR, 2017)

Laplacian LRR on Product Grassmann Manifolds for Human Activity Clustering in Multicamera Video Surveillance. - Boyue Wang; Yongli Hu; Junbin Gao; Yanfeng Sun; Baocai Yin (IEEE Trans. Circuits Syst. Video Technol., 2017)

Locality Preserving Projection Based on F-norm. - Xiangjie Hu; Yanfeng Sun; Junbin Gao; Yongli Hu; Baocai Yin (AAAI, 2018)

Cascaded Low Rank and Sparse Representation on Grassmann Manifolds. - Boyue Wang; Yongli Hu; Junbin Gao; Yanfeng Sun; Baocai Yin (IJCAI, 2018)

Fast optimization algorithm on Riemannian manifolds and its application in low-rank learning. - Haoran Chen; Yanfeng Sun; Junbin Gao; Yongli Hu; Baocai Yin (Neurocomputing, 2018)

Low Rank Representation on SPD matrices with Log-Euclidean metric. - Boyue Wang; Yongli Hu; Junbin Gao; Muhammad Ali 005; David Tien; Yanfeng Sun; Baocai Yin (Pattern Recognit., 2018)

Localized LRR on Grassmann Manifold: An Extrinsic View. - Boyue Wang; Yongli Hu; Junbin Gao; Yanfeng Sun; Baocai Yin (IEEE Trans. Circuits Syst. Video Technol., 2018)

Partial Sum Minimization of Singular Values Representation on Grassmann Manifolds. - Boyue Wang; Yongli Hu; Junbin Gao; Yanfeng Sun; Baocai Yin (ACM Trans. Knowl. Discov. Data, 2018)

Vectorial Dimension Reduction for Tensors Based on Bayesian Inference. - Fujiao Ju; Yanfeng Sun; Junbin Gao; Yongli Hu; Baocai Yin (IEEE Trans. Neural Networks Learn. Syst., 2018)

L1 norm based double-prior learning for image denoising. - Weinan Du; Yanfeng Sun; Yongli Hu (AIPR, 2019)

Double Nuclear Norm Based Low Rank Representation on Grassmann Manifolds for Clustering. - Xinglin Piao; Yongli Hu; Junbin Gao; Yanfeng Sun; Baocai Yin (CVPR, 2019)

Locality Preserving Projection via Deep Neural Network. - Tianhang Long; Junbin Gao; Mingyan Yang; Yongli Hu; Baocai Yin (IJCNN, 2019)

Multi-View Subspace Clustering With Block Diagonal Representation. - Jipeng Guo 001; Wenbin Yin; Yanfeng Sun; Yongli Hu (IEEE Access, 2019)

Nonlinear Subspace Clustering via Adaptive Graph Regularized Autoencoder. - Qiang Ji; Yanfeng Sun; Junbin Gao; Yongli Hu; Baocai Yin (IEEE Access, 2019)

blessing in disguise: Designing Robust Turing Test by Employing Algorithm Unrobustness. - Jiaming Zhang 006; Jitao Sang; Kaiyuan Xu; Shangxi Wu; Yongli Hu; Yanfeng Sun; Jian Yu 001 (CoRR, 2019)

Domain-invariant representation learning using an unsupervised domain adversarial adaptation deep neural network. - Xibin Jia; Ya Jin; Xing Su 001; Yongli Hu (Neurocomputing, 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; 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; Zhen Sean Qian; Yongli Hu; Baocai Yin (IEEE Intell. Transp. Syst. Mag., 2019)

A New Lane-Changing Model with Consideration of Driving Style. - Guoqing Ren; Yong Zhang 029; Hao Liu 040; Ke Zhang 016; Yongli Hu (Int. J. Intell. Transp. Syst. Res., 2019)

Maximally Correlated Principal Component Analysis Based on Deep Parameterization Learning. - Haoran Chen; Jinghua Li; Junbin Gao; Yanfeng Sun; Yongli Hu; Baocai Yin (ACM Trans. Knowl. Discov. Data, 2019)

Solving Partial Least Squares Regression via Manifold Optimization Approaches. - Haoran Chen; Yanfeng Sun; Junbin Gao; Yongli Hu; Baocai Yin (IEEE Trans. Neural Networks Learn. Syst., 2019)

Probabilistic Linear Discriminant Analysis With Vectorial Representation for Tensor Data. - Fujiao Ju; Yanfeng Sun; Junbin Gao; Yongli Hu; Baocai Yin (IEEE Trans. Neural Networks Learn. Syst., 2019)

Reweighted Non-convex Non-smooth Rank Minimization Based Spectral Clustering on Grassmann Manifold. - Xinglin Piao; Yongli Hu; Junbin Gao; Yanfeng Sun; Xin Yang 011; Baocai Yin (ACCV (5), 2020)

Kernel Clustering On Symmetric Positive Definite Manifolds Via Double Approximated Low Rank Representation. - Xinglin Piao; Yongli Hu; Junbin Gao; Yanfeng Sun; Xin Yang 011; Baocai Yin; Wenwu Zhu 001; Ge Li 002 (ICME, 2020)

Low Rank Representation on Product Grassmann Manifolds for Multi-view Subspace Clustering. - Jipeng Guo 001; Yanfeng Sun; Junbin Gao; Yongli Hu; Baocai Yin (ICPR, 2020)

Double Manifolds Regularized Non-negative Matrix Factorization for Data Representation. - Jipeng Guo 001; Shuai Yin; Yanfeng Sun; Yongli Hu (ICPR, 2020)

Variational Deep Embedding Clustering by Augmented Mutual Information Maximization. - Qiang Ji; Yanfeng Sun; Yongli Hu; Baocai Yin (ICPR, 2020)

Zero-Shot Text Classification with Semantically Extended Graph Convolutional Network. - Tengfei Liu; Yongli Hu; Junbin Gao; Yanfeng Sun; Baocai Yin (ICPR, 2020)

A Spectral Clustering on Grassmann Manifold via Double Low Rank Constraint. - Xinglin Piao; Yongli Hu; Junbin Gao; Yanfeng Sun; Xin Yang 011; Baocai Yin (ICPR, 2020)

Adversarial Privacy-preserving Filter. - Jiaming Zhang 006; Jitao Sang; Xian Zhao; Xiaowen Huang 001; Yanfeng Sun; Yongli Hu (ACM Multimedia, 2020)

Locality preserving projection based on Euler representation. - Tianhang Long; Yanfeng Sun; Junbin Gao; Yongli Hu; Baocai Yin (J. Vis. Commun. Image Represent., 2020)

Visual analysis method for abnormal passenger flow on urban metro network. - Yong Zhang 029; He Shi; Feifei Zhou; Yongli Hu; Baocai Yin (J. Vis., 2020)

Robust Adaptive Linear Discriminant Analysis with Bidirectional Reconstruction Constraint. - Jipeng Guo 001; Yanfeng Sun; Junbin Gao; Yongli Hu; Baocai Yin (ACM Trans. Knowl. Discov. Data, 2020)

Hierarchical Graph Convolution Network for Traffic Forecasting. - Kan Guo; Yongli Hu; Yanfeng Sun; Sean Qian; Junbin Gao; Baocai Yin (AAAI, 2021)

Feature Interaction Based Graph Convolutional Networks for Image-Text Retrieval. - Yongli Hu; Feili Gao; Yanfeng Sun; Junbin Gao; Baocai Yin (ICANN (3), 2021)

Bottom-Up Progressive Semantic Alignment for Image-Text Retrieval. - Zheng Cui; Yongli Hu; Yanfeng Sun; Junbin Gao; Baocai Yin (ICONIP (6), 2021)

Hierarchical Attention Transformer Networks for Long Document Classification. - Yongli Hu; Puman Chen; Tengfei Liu; Junbin Gao; Yanfeng Sun; Baocai Yin (IJCNN, 2021)

Attributed Non-negative Matrix Multi-factorization for Data Representation. - Jie Wang 134; Yanfeng Sun; Jipeng Guo 001; Yongli Hu; Baocai Yin (PRCV (4), 2021)

Complete/incomplete multi-view subspace clustering via soft block-diagonal-induced regulariser. - Yongli Hu; Cuicui Luo; Boyue Wang; Junbin Gao; Yanfeng Sun; Baocai Yin (IET Comput. Vis., 2021)

Kronecker-decomposable robust probabilistic tensor discriminant analysis. - Fujiao Ju; Yanfeng Sun; Junbin Gao; Yongli Hu; Baocai Yin (Inf. Sci., 2021)

AKM3C: Adaptive K-Multiple-Means for Multi-View Clustering. - Yongli Hu; Zuolong Song; Boyue Wang; Junbin Gao; Yanfeng Sun; Baocai Yin (IEEE Trans. Circuits Syst. Video Technol., 2021)

Optimized Graph Convolution Recurrent Neural Network for Traffic Prediction. - Kan Guo; Yongli Hu; Sean Qian; Hao Liu 040; Ke Zhang 016; Yanfeng Sun; Junbin Gao; Baocai Yin (IEEE Trans. Intell. Transp. Syst., 2021)

Metro Passenger Flow Prediction via Dynamic Hypergraph Convolution Networks. - Jingcheng Wang; Yong Zhang 029; Yun Wei; Yongli Hu; Xinglin Piao; Baocai Yin (IEEE Trans. Intell. Transp. Syst., 2021)

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

Interactive Visual Exploration of Human Mobility Correlation Based on Smart Card Data. - Xia Zhao 003; Yong Zhang 029; Yongli Hu; Shun Wang 004; Yunhui Li; Sean Qian; Baocai Yin (IEEE Trans. Intell. Transp. Syst., 2021)

Robust Image Representation via Low Rank Locality Preserving Projection. - Shuai Yin; Yanfeng Sun; Junbin Gao; Yongli Hu; Boyue Wang; Baocai Yin (ACM Trans. Knowl. Discov. Data, 2021)

Learning Adaptive Neighborhood Graph on Grassmann Manifolds for Video/Image-Set Subspace Clustering. - Boyue Wang; Yongli Hu; Junbin Gao; Yanfeng Sun; Fujiao Ju; Baocai Yin (IEEE Trans. Multim., 2021)

Robust CAPTCHAs Towards Malicious OCR. - Jiaming Zhang 006; Jitao Sang; Kaiyuan Xu; Shangxi Wu; Xian Zhao; Yanfeng Sun; Yongli Hu; Jian Yu 001 (IEEE Trans. Multim., 2021)

Adaptive Fusion of Heterogeneous Manifolds for Subspace Clustering. - Boyue Wang; Yongli Hu; Junbin Gao; Yanfeng Sun; Fujiao Ju; Baocai Yin (IEEE Trans. Neural Networks Learn. Syst., 2021)

SHCN: Self-supervised General Hypergraph Clustering Network. - Mengran Li 001; Xinglin Piao; Yong Zhang 029; Yongli Hu; Baocai Yin (IEEE Big Data, 2022)

Learnable Gated Graph Convolutional Residual Network for Traffic Prediction. - Yong Zhang 029; Xiulan Wei; Xinyu Zhang; Feng Lin; Yongli Hu; Baocai Yin (CCIS, 2022)

Hierarchical Multiple Granularity Attention Network for Long Document Classification. - Yongli Hu; Wen Ding; Tengfei Liu; Junbin Gao; Yanfeng Sun; Baocai Yin (IJCNN, 2022)

Towards City-Scale Traffic Prediction: Cluster Graph Wavelet Networks. - Jingcheng Wang; Yong Zhang 029; Yisheng Lv; Yongli Hu; Baocai Yin (ITSC, 2022)

Globality constrained adaptive graph regularized non-negative matrix factorization for data representation. - Yanfeng Sun; Jie Wang 134; Jipeng Guo 001; Yongli Hu; Baocai Yin (IET Image Process., 2022)

Multi-graph convolutional clustering network. - Boyue Wang; Yifan Wang 004; Xiaxia He; Yongli Hu; Baocai Yin (IET Signal Process., 2022)

Video Domain Adaptation based on Optimal Transport in Grassmann Manifolds. - Tianhang Long; Yanfeng Sun; Junbin Gao; Yongli Hu; Baocai Yin (Inf. Sci., 2022)

An Optimized Temporal-Spatial Gated Graph Convolution Network for Traffic Forecasting. - Kan Guo; Yongli Hu; Yanfeng Sun; Zhen Sean Qian; Junbin Gao; Baocai Yin (IEEE Intell. Transp. Syst. Mag., 2022)

Modeling Relation Proximity of Passengers Using Public Transit Smart Card Data. - Xia Zhao 003; Yong Zhang 029; Yongli Hu; Zhen Sean Qian; Hao Liu 040; Baocai Yin (IEEE Intell. Transp. Syst. Mag., 2022)

Shareability-Exclusivity Representation on Product Grassmann Manifolds for Multi-camera video clustering. - Yongli Hu; Cuicui Luo; Junbin Gao; Boyue Wang; Yanfeng Sun; Baocai Yin (J. Vis. Commun. Image Represent., 2022)

Cross-modal alignment with graph reasoning for image-text retrieval. - Zheng Cui; Yongli Hu; Yanfeng Sun; Junbin Gao; Baocai Yin (Multim. Tools Appl., 2022)

CGNN: Caption-assisted graph neural network for image-text retrieval. - Yongli Hu; Hanfu Zhang; Huajie Jiang; Yandong Bi; Baocai Yin (Pattern Recognit. Lett., 2022)

MFFNet: Single facial depth map refinement using multi-level feature fusion. - Fan Zhang 062; Na Liu; Yongli Hu; Fuqing Duan (Signal Process. Image Commun., 2022)

Probabilistic Linear Discriminant Analysis Based on L1-Norm and Its Bayesian Variational Inference. - Xiangjie Hu; Yanfeng Sun; Junbin Gao; Yongli Hu; Fujiao Ju; Baocai Yin (IEEE Trans. Cybern., 2022)

Multi-Attribute Subspace Clustering via Auto-Weighted Tensor Nuclear Norm Minimization. - Jipeng Guo 001; Yanfeng Sun; Junbin Gao; Yongli Hu; Baocai Yin (IEEE Trans. Image Process., 2022)

Dynamic Graph Convolution Network for Traffic Forecasting Based on Latent Network of Laplace Matrix Estimation. - Kan Guo; Yongli Hu; Zhen Sean Qian; Yanfeng Sun; Junbin Gao; Baocai Yin (IEEE Trans. Intell. Transp. Syst., 2022)

Text-to-Traffic Generative Adversarial Network for Traffic Situation Generation. - Guangyu Huo; Yong Zhang 029; Boyue Wang; Yongli Hu; Baocai Yin (IEEE Trans. Intell. Transp. Syst., 2022)

Dual Dynamic Spatial-Temporal Graph Convolution Network for Traffic Prediction. - Yanfeng Sun; Xiangheng Jiang; Yongli Hu; Fuqing Duan; Kan Guo; Boyue Wang; Junbin Gao; Baocai Yin (IEEE Trans. Intell. Transp. Syst., 2022)

Multitask Hypergraph Convolutional Networks: A Heterogeneous Traffic Prediction Framework. - Jingcheng Wang; Yong Zhang 029; Lixun Wang; Yongli Hu; Xinglin Piao; Baocai Yin (IEEE Trans. Intell. Transp. Syst., 2022)

Urban Traffic Pattern Analysis and Applications Based on Spatio-Temporal Non-Negative Matrix Factorization. - Yang Wang 068; Yong Zhang 029; Lixun Wang; Yongli Hu; Baocai Yin (IEEE Trans. Intell. Transp. Syst., 2022)

Rank Consistency Induced Multiview Subspace Clustering via Low-Rank Matrix Factorization. - Jipeng Guo 001; Yanfeng Sun; Junbin Gao; Yongli Hu; Baocai Yin (IEEE Trans. Neural Networks Learn. Syst., 2022)

A Decoder-Free Variational Deep Embedding for Unsupervised Clustering. - Qiang Ji; Yanfeng Sun; Junbin Gao; Yongli Hu; Baocai Yin (IEEE Trans. Neural Networks Learn. Syst., 2022)

Center Focusing Network for Real-Time LiDAR Panoptic Segmentation. - Xiaoyan Li; Gang Zhang; Boyue Wang; Yongli Hu; Baocai Yin (CVPR, 2023)

Path Planning of Unmanned Underwater Vehicles Based on Deep Reinforcement Learning Algorithm. - Yu Wang; Zhenzhong Chu; Yongli Hu (ICARM, 2023)

Zero-Shot Text Classification with Semantically Extended Textual Entailment. - Tengfei Liu; Yongli Hu; Puman Chen; Yanfeng Sun; Baocai Yin (IJCNN, 2023)

Breaking the Barrier Between Pre-training and Fine-tuning: A Hybrid Prompting Model for Knowledge-Based VQA. - Zhongfan Sun; Yongli Hu; Qingqing Gao; Huajie Jiang; Junbin Gao; Yanfeng Sun; Baocai Yin (ACM Multimedia, 2023)

A Survey on Temporal Knowledge Graph Completion: Taxonomy, Progress, and Prospects. - Jiapu Wang; Boyue Wang; Meikang Qiu; Shirui Pan; Bo Xiong; Heng Liu; Linhao Luo; Tengfei Liu; Yongli Hu; Baocai Yin; Wen Gao 001 (CoRR, 2023)

Metro Passenger-Flow Representation via Dynamic Mode Decomposition and Its Application. - Xiulan Wei; Yong Zhang 029; Yun Wei; Yongli Hu; Shuzhen Tong; Wei Huang 017; Jinde Cao (IEEE Trans. Neural Networks Learn. Syst., 2023)

Multi-Concept Representation Learning for Knowledge Graph Completion. - Jiapu Wang; Boyue Wang; Junbin Gao; Yongli Hu; Baocai Yin (ACM Trans. Knowl. Discov. Data, 2023)

STGAN: Spatio-Temporal Generative Adversarial Network for Traffic Data Imputation. - Ye Yuan; Yong Zhang 029; Boyue Wang; Yuan Peng; Yongli Hu; Baocai Yin (IEEE Trans. Big Data, 2023)

Logarithmic Schatten-$p$p Norm Minimization for Tensorial Multi-View Subspace Clustering. - Jipeng Guo 001; Yanfeng Sun; Junbin Gao; Yongli Hu; Baocai Yin (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Robust discriminant analysis with feature selective projection and between-classes structural incoherence. - Jipeng Guo 001; Yanfeng Sun; Junbin Gao; Yongli Hu; Baocai Yin (Digit. Signal Process., 2023)

A multi-scale feature representation and interaction network for underwater object detection. - Jiaojiao Yuan; Yongli Hu; Yanfeng Sun; Baocai Yin (IET Comput. Vis., 2023)

Self-Attention Graph Convolution Residual Network for Traffic Data Completion. - Yong Zhang 029; Xiulan Wei; Xinyu Zhang; Yongli Hu; Baocai Yin (IEEE Trans. Big Data, 2023)

Hierarchical Spatio-Temporal Graph Convolutional Networks and Transformer Network for Traffic Flow Forecasting. - Guangyu Huo; Yong Zhang 029; Boyue Wang; Junbin Gao; Yongli Hu; Baocai Yin (IEEE Trans. Intell. Transp. Syst., 2023)

CaEGCN: Cross-Attention Fusion Based Enhanced Graph Convolutional Network for Clustering. - Guangyu Huo; Yong Zhang 029; Junbin Gao; Boyue Wang; Yongli Hu; Baocai Yin (IEEE Trans. Knowl. Data Eng., 2023)

Underwater autonomous grasping robot based on multi-stage Cascade DetNet. - Yong Zhang 029; Chengyang Zhang; Bo Li 128; Yongli Hu; Baocai Yin (Artif. Life Robotics, 2023)

Graph structure learning layer and its graph convolution clustering application. - Xiaxia He; Boyue Wang; Ruikun Li 001; Junbin Gao; Yongli Hu; Guangyu Huo; Baocai Yin (Neural Networks, 2023)

Multi-level attention for referring expression comprehension. - Yanfeng Sun; Yunru Zhang; Huajie Jiang; Yongli Hu; Baocai Yin (Pattern Recognit. Lett., 2023)

Self-Supervised Nodes-Hyperedges Embedding for Heterogeneous Information Network Learning. - Mengran Li 001; Yong Zhang 029; Wei Zhang; Yi Chu; Yongli Hu; Baocai Yin (IEEE Trans. Big Data, 2023)

DSGEM: Dual scene graph enhancement module-based visual question answering. - Boyue Wang; Yujian Ma; Xiaoyan Li; Heng Liu; Yongli Hu; Baocai Yin (IET Comput. Vis., 2023)

Hierarchical Graph Convolutional Networks for Structured Long Document Classification. - Tengfei Liu; Yongli Hu; Boyue Wang; Yanfeng Sun; Junbin Gao; Baocai Yin (IEEE Trans. Neural Networks Learn. Syst., 2023)

Domain Adaptation as Optimal Transport on Grassmann Manifolds. - Tianhang Long; Yanfeng Sun; Junbin Gao; Yongli Hu; Baocai Yin (IEEE Trans. Neural Networks Learn. Syst., 2023)

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

Substructure-aware subgraph reasoning for inductive relation prediction. - Kai Sun; Huajie Jiang; Yongli Hu; Baocai Yin (J. Supercomput., 2023)

TDN: Triplet Distributor Network for Knowledge Graph Completion. - Jiapu Wang; Boyue Wang; Junbin Gao; Xiaoyan Li; Yongli Hu; Baocai Yin (IEEE Trans. Knowl. Data Eng., 2023)

VIG: Visual Information-Guided Knowledge-Based Visual Question Answering. - Heng Liu; Boyue Wang; Yanfeng Sun; Xiaoyan Li; Yongli Hu; Baocai Yin (CSCWD, 2024)

VQA-PDF: Purifying Debiased Features for Robust Visual Question Answering Task. - Yandong Bi; Huajie Jiang; Jing Liu 059; Mengting Liu; Yongli Hu; Baocai Yin (ICIC (12), 2024)

Referring Image Segmentation Without Text Annotations. - Jing Liu 059; Huajie Jiang; Yandong Bi; Yongli Hu; Baocai Yin (ICIC (12), 2024)

Generating Graph-Based Rules for Enhancing Logical Reasoning. - Kai Sun; Huajie Jiang; Yongli Hu; Baocai Yin (ICIC (12), 2024)

Common-Memory Bridged Cross-Modal Adaptive Graph Embedding for Image-Text Retrieval. - Zheng Cui; Yongli Hu; Jiapu Wang; Junbin Gao; Yanfeng Sun; Baocai Yin (ICME, 2024)

Large Language Models-guided Dynamic Adaptation for Temporal Knowledge Graph Reasoning. - Jiapu Wang; Kai Sun; Linhao Luo; Wei Wei; Yongli Hu; Alan Wee-Chung Liew; Shirui Pan; Baocai Yin (NeurIPS, 2024)

Data-unbalanced traffic accident prediction via adaptive graph and self-supervised learning. - Shun Wang 004; Yong Zhang 029; Xinglin Piao; Xuanqi Lin; Yongli Hu; Baocai Yin (Appl. Soft Comput., 2024)

DiMA: sequence diversity dynamics analyser for viruses. - Shan Tharanga; Eyyüb Selim Ünlü; Yongli Hu; Muhammad Farhan Sjaugi; Muhammet A Çelik; Hilal Hekimoglu; Olivo Miotto; Muhammed Miran Öncel; Asif M. Khan (Briefings Bioinform., 2024)

Query-Enhanced Adaptive Semantic Path Reasoning for Inductive Knowledge Graph Completion. - Kai Sun; Jiapu Wang; Huajie Jiang; Yongli Hu; Baocai Yin (CoRR, 2024)

Hierarchical Multi-modal Transformer for Cross-modal Long Document Classification. - Tengfei Liu; Yongli Hu; Junbin Gao; Yanfeng Sun; Baocai Yin (CoRR, 2024)

Adapter-Enhanced Semantic Prompting for Continual Learning. - Baocai Yin; Ji Zhao 021; Huajie Jiang; Ningning Hou; Yongli Hu; Amin Beheshti; Ming-Hsuan Yang 001; Yuankai Qi (CoRR, 2024)

Contrastive optimized graph convolution network for traffic forecasting. - Kan Guo; Daxin Tian; Yongli Hu; Yanfeng Sun; Zhen (sean) Qian; Jianshan Zhou; Junbin Gao; Baocai Yin (Neurocomputing, 2024)

Multi-modal long document classification based on Hierarchical Prompt and Multi-modal Transformer. - Tengfei Liu; Yongli Hu; Junbin Gao; Jiapu Wang; Yanfeng Sun; Baocai Yin (Neural Networks, 2024)

Multi-scale hypergraph-based feature alignment network for cell localization. - Bo Li 128; Yong Zhang 029; Chengyang Zhang; Xinglin Piao; Yongli Hu; Baocai Yin (Pattern Recognit., 2024)

Hierarchical Multi-Granularity Interaction Graph Convolutional Network for Long Document Classification. - Tengfei Liu; Yongli Hu; Junbin Gao; Yanfeng Sun; Baocai Yin (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Multi-Level Interaction Based Knowledge Graph Completion. - Jiapu Wang; Boyue Wang; Junbin Gao; Simin Hu; Yongli Hu; Baocai Yin (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Hierarchical Multi-Modal Prompting Transformer for Multi-Modal Long Document Classification. - Tengfei Liu; Yongli Hu; Junbin Gao; Yanfeng Sun; Baocai Yin (IEEE Trans. Circuits Syst. Video Technol., 2024)

Self-supervised knowledge distillation in counterfactual learning for VQA. - Yandong Bi; Huajie Jiang; Hanfu Zhang; Yongli Hu; Baocai Yin (Pattern Recognit. Lett., 2024)

A plug-and-play image enhancement model for end-to-end object detection in low-light condition. - Jiaojiao Yuan; Yongli Hu; Yanfeng Sun; Boyue Wang; Baocai Yin (Multim. Syst., 2024)

See and Learn More: Dense Caption-Aware Representation for Visual Question Answering. - Yandong Bi; Huajie Jiang; Yongli Hu; Yanfeng Sun; Baocai Yin (IEEE Trans. Circuits Syst. Video Technol., 2024)

Cross-modal fusion encoder via graph neural network for referring image segmentation. - Yuqing Zhang; Yong Zhang 029; Xinglin Piao; Peng Yuan; Yongli Hu; Baocai Yin (IET Image Process., 2024)

MBMF: Constructing memory banks of multi-scale features for anomaly detection. - Yanfeng Sun; Haitao Wang; Yongli Hu; Huajie Jiang; Baocai Yin (IET Comput. Vis., 2024)

Parallelly Adaptive Graph Convolutional Clustering Model. - Xiaxia He; Boyue Wang; Yongli Hu; Junbin Gao; Yanfeng Sun; Baocai Yin (IEEE Trans. Neural Networks Learn. Syst., 2024)

IE-GAN: a data-driven crowd simulation method via generative adversarial networks. - Xuanqi Lin; Yuchen Liang; Yong Zhang 029; Yongli Hu; Baocai Yin (Multim. Tools Appl., 2024)

Domain-Aware Prototype Network for Generalized Zero-Shot Learning. - Yongli Hu; Lincong Feng; Huajie Jiang; Mengting Liu; Baocai Yin (IEEE Trans. Circuits Syst. Video Technol., 2024)

Multi-Level Dynamic Graph Convolutional Networks for Weakly Supervised Crowd Counting. - Zhuangzhuang Miao; Yong Zhang 029; Hao Ren; Yongli Hu; Baocai Yin (IEEE Trans. Intell. Transp. Syst., 2024)

Cross-modal Multiple Granularity Interactive Fusion Network for Long Document Classification. - Tengfei Liu; Yongli Hu; Junbin Gao; Yanfeng Sun; Baocai Yin (ACM Trans. Knowl. Discov. Data, 2024)

Metro Flow Prediction With Hierarchical Hypergraph Attention Networks. - Jingcheng Wang; Yong Zhang 029; Yongli Hu; Baocai Yin (IEEE Trans. Artif. Intell., 2024)

Incorporating Multi-Level Sampling with Adaptive Aggregation for Inductive Knowledge Graph Completion. - Kai Sun; Huajie Jiang; Yongli Hu; Baocai Yin (ACM Trans. Knowl. Discov. Data, 2024)

Context-aware relation enhancement and similarity reasoning for image-text retrieval. - Zheng Cui; Yongli Hu; Yanfeng Sun; Baocai Yin (IET Comput. Vis., 2024)

Dynamic Hypergraph Structure Learning for Multivariate Time Series Forecasting. - Shun Wang 004; Yong Zhang 029; Xuanqi Lin; Yongli Hu; Qingming Huang; Baocai Yin (IEEE Trans. Big Data, 2024)

Traffic Origin-Destination Demand Prediction via Multichannel Hypergraph Convolutional Networks. - Ming Wang; Yong Zhang 029; Xia Zhao 003; Yongli Hu; Baocai Yin (IEEE Trans. Comput. Soc. Syst., 2024)

Fair Attention Network for Robust Visual Question Answering. - Yandong Bi; Huajie Jiang; Yongli Hu; Yanfeng Sun; Baocai Yin (IEEE Trans. Circuits Syst. Video Technol., 2024)

Hardware-Friendly 3-D CNN Acceleration With Balanced Kernel Group Sparsity. - Mengshu Sun; Kaidi Xu; Xue Lin 001; Yongli Hu; Baocai Yin (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

QDN: A Quadruplet Distributor Network for Temporal Knowledge Graph Completion. - Jiapu Wang; Boyue Wang; Junbin Gao; Xiaoyan Li; Yongli Hu; Baocai Yin (IEEE Trans. Neural Networks Learn. Syst., 2024)

CFMMC-Align: Coarse-Fine Multi-Modal Contrastive Alignment Network for Traffic Event Video Question Answering. - Kan Guo; Daxin Tian; Yongli Hu; Chunmian Lin; Yanfeng Sun; Jianshan Zhou; Xuting Duan; Junbin Gao; Baocai Yin (IEEE Trans. Circuits Syst. Video Technol., 2024)

An adaptive composite time series forecasting model for short-term traffic flow. - Qitan Shao; Xinglin Piao; Xiangyu Yao; Yuqiu Kong; Yongli Hu; Baocai Yin; Yong Zhang 029 (J. Big Data, 2024)

Large-Scale Traffic Prediction With Hierarchical Hypergraph Message Passing Networks. - Jingcheng Wang; Yong Zhang 029; Yongli Hu; Baocai Yin (IEEE Trans. Comput. Soc. Syst., 2024)

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

Mixed-Modality Clustering via Generative Graph Structure Matching. - Xiaxia He; Boyue Wang; Junbin Gao; Qianqian Wang 001; Yongli Hu; Baocai Yin (IEEE Trans. Knowl. Data Eng., 2024)

Global and Local Interactive Perception Network for Referring Image Segmentation. - Jing Liu 059; Hongchen Tan; Yongli Hu; Yanfeng Sun; Huasheng Wang; Baocai Yin (IEEE Trans. Neural Networks Learn. Syst., 2024)

HC-LLM: Historical-Constrained Large Language Models for Radiology Report Generation. - Tengfei Liu; Jiapu Wang; Yongli Hu; Mingjie Li 006; Junfei Yi; Xiaojun Chang; Junbin Gao; Baocai Yin (AAAI, 2025)

Visual and Semantic Prompt Collaboration for Generalized Zero-Shot Learning. - Huajie Jiang; Zhengxian Li; Xiaohan Yu; Yongli Hu; Baocai Yin; Jian Yang 001; Yuankai Qi (CVPR, 2025)

Spatial-Temporal Traffic Prediction Based on Multi-Scale Time Difference. - Yongli Hu; Qi Zuo; Kan Guo; Zhongfan Sun; Tingzheng Jia (ICIC (11), 2025)

MRAGNN: Refining urban spatio-temporal prediction of crime occurrence with multi-type crime correlation learning. - Shun Wang 004; Yong Zhang 029; Xinglin Piao; Xuanqi Lin; Yongli Hu; Baocai Yin (Expert Syst. Appl., 2025)

MVDT: Multiview Distillation Transformer for View-Invariant Sign Language Translation. - Zhong Guan; Yongli Hu; Huajie Jiang; Yanfeng Sun; Baocai Yin (IET Comput. Vis., 2025)

Multi-view subspace clustering with incomplete graph information. - Xiaxia He; Boyue Wang; Cuicui Luo; Junbin Gao; Yongli Hu; Baocai Yin (IET Comput. Vis., 2025)

Latent attribute augmented network for few-shot class-incremental learning. - Yongli Hu; Jiasen Zhang; Huajie Jiang; Baocai Yin (Neurocomputing, 2025)

PRNet: A Progressive Refinement Network for referring image segmentation. - Jing Liu 059; Huajie Jiang; Yongli Hu; Baocai Yin (Neurocomputing, 2025)

SHKD: A framework for traffic prediction based on Sub-Hypergraph and Knowledge Distillation. - Xiangyu Yao; Xinglin Piao; Qitan Shao; Yongli Hu; Baocai Yin; Yong Zhang 029 (Knowl. Based Syst., 2025)

Memory Transmission Based Referring Video Object Segmentation. - Zijin Liu; Lichun Wang 002; Yongli Hu; Baocai Yin (Neural Networks, 2025)

CMDNet: A Cross-Modality Spatiotemporal Graph Network for Enhanced Air Pollution Prediction With High-Resolution Satellite Data. - Shun Wang 004; Yong Zhang 029; Xuanqi Lin; Xinglin Piao; Yongli Hu; Baocai Yin (IEEE Trans. Geosci. Remote. Sens., 2025)

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

Dual Prototype Contrastive Network for Generalized Zero-Shot Learning. - Huajie Jiang; Zhengxian Li; Yongli Hu; Baocai Yin; Jian Yang 001; Anton van den Hengel; Ming-Hsuan Yang 001; Yuankai Qi (IEEE Trans. Circuits Syst. Video Technol., 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; Yongli Hu; Baocai Yin (IEEE Trans. Neural Networks Learn. Syst., 2025)

OST-HGCN: Optimized Spatial-Temporal Hypergraph Convolution Network for Trajectory Prediction. - Xuanqi Lin; Yong Zhang 029; Shun Wang 004; Yongli Hu; Baocai Yin (IEEE Trans. Intell. Transp. Syst., 2025)

Bridging the Cross-Modality Semantic Gap in Visual Question Answering. - Boyue Wang; Yujian Ma; Xiaoyan Li; Junbin Gao; Yongli Hu; Baocai Yin (IEEE Trans. Neural Networks Learn. Syst., 2025)

Multi-view Isolated sign language recognition based on cross-view and multi-level transformer. - Zhong Guan; Yongli Hu; Huajie Jiang; Yanfeng Sun; Baocai Yin (Multim. Syst., 2025)

Multi-Granularity Feature Interaction and Multi-Region Selection Based Triplet Visual Question Answering. - Heng Liu; Boyue Wang; Yanfeng Sun; Junbin Gao; Xiaoyan Li; Yongli Hu; Baocai Yin (IEEE Trans. Big Data, 2025)

Tackling Real-World Complexity: Hierarchical Modeling and Dynamic Prompting for Multimodal Long Document Classification. - Tengfei Liu; Yongli Hu; Mingjie Li 006; Junfei Yi; Xiaojun Chang; Junbin Gao; Baocai Yin (IEEE Trans. Circuits Syst. Video Technol., 2025)

Globality Meets Locality: An Anchor Graph Collaborative Learning Framework for Fast Multiview Subspace Clustering. - Jipeng Guo 001; Yanfeng Sun; Xin Ma; Junbin Gao; Yongli Hu; Youqing Wang; Baocai Yin (IEEE Trans. Neural Networks Learn. Syst., 2025)

Modality Perception Learning-Based Determinative Factor Discovery for Multimodal Fake News Detection. - Boyue Wang; Guangchao Wu; Xiaoyan Li; Junbin Gao; Yongli Hu; Baocai Yin (IEEE Trans. Neural Networks Learn. Syst., 2025)

SAGoG: Similarity-Aware Graph of Graphs Neural Networks for Multivariate Time Series Classification. - Shun Wang 004; Yong Zhang 029; Xuanqi Lin; Yongli Hu; Qingming Huang; Baocai Yin (IEEE Trans. Knowl. Data Eng., 2025)