The Genetic Algorithm for 0-1 Programming with Linear Constraints. - Yanfeng Sun; Zhongtuo Wang (International Conference on Evolutionary Computation, 1994)

Semi-Automatic Image Annotation. - Liu Wenyin; Susan T. Dumais; Yanfeng Sun; HongJiang Zhang; Mary Czerwinski; Brent A. Field (INTERACT, 2001)

MyPhotos: a system for home photo management and processing. - Yanfeng Sun; HongJiang Zhang; Lei Zhang 001; Mingjing Li (ACM Multimedia, 2002)

SVR-based facial texture driving for realistic expression synthesis. - Wenhui Zhu; Yiqiang Chen; Yanfeng Sun; Baocai Yin; Dalong Jiang (ICIG, 2004)

Automated red-eye detection and correction in digital photographs. - Lei Zhang 001; Yanfeng Sun; Mingjing Li; HongJiang Zhang (ICIP, 2004)

A Hybrid Algorithm for Combining Forecasting Based on AFTER-PSO. - Xiaoyue Feng; Yanchun Liang 001; Yanfeng Sun; Heow Pueh Lee; Chunguang Zhou; Yan Wang 028 (PRICAI, 2004)

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

Auto cropping for digital photographs. - Mingju Zhang; Lei Zhang 001; Yanfeng Sun; Lin Feng; Wei-Ying Ma (ICME, 2005)

Local Linear Embedding with Morphable Model for Face Recognition. - Xiaoming Bai; Baocai Yin; Qin Shi; Yanfeng Sun (AIAI, 2005)

An Improved 3D Face Synthesis Based on Morphable Model. - Chengzhang Wang; Baocai Yin; Qin Shi; Yanfeng Sun (AIAI, 2005)

G-WSDL: a data-oriented approach to model GIS Web services. - Guanhua Chen; Kunqing Xie; Xiujun Ma; Yanfeng Sun; Yuanzhi Zhang; Lebin Sun (IGARSS, 2005)

A peer-to-peer architecture for dynamic executing GIS web service composition. - Chen Liu; Xiujun Ma; Guanhua Chen; Yanfeng Sun; Xuebing Feng (IGARSS, 2005)

A compensation mechanism in GIS Web service composition. - Yanfeng Sun; Xiujun Ma; Kunqing Xie; Guanhua Chen; Chen Liu; Chenyu Li; Zhuo Chen (IGARSS, 2005)

A Quantile-Data Mapping Model for Value-at-Risk Based on BP and Support Vector Regression. - Xiaodao Wu; Yanfeng Sun; Yanchun Liang 001 (WINE, 2005)

Face Recognition Based on Geodesic Preserving Projection Algorithm with 3D Morphable Model. - Xiaoming Bai; Baocai Yin; Qin Shi; Yanfeng Sun (IEEE ICCI, 2006)

GA-Based Speaking Mouth Correlative Speech Feature Abstraction. - XiBin Jia; Baocai Yin; Yanfeng Sun; Xianping Lin (IEEE ICCI, 2006)

A Block-Matching Based Intra Frame Prediction for H.264/AVC. - Jiheng Yang; Baocai Yin; Yanfeng Sun; Nan Zhang 006 (ICME, 2006)

Research on Word Segmentation for Chinese Sign Language. - Yinchao Cheng; Baocai Yin; Yanfeng Sun (PACLIC, 2006)

A 3D Face Recognition Algorithm Based on Nonuniform Re-sampling Correspondence. - Yanfeng Sun; Jun Wang; Baocai Yin (ISVC (2), 2007)

Geometry sequence based progressive mesh compression. - Jiheng Yang; Baocai Yin; Yanfeng Sun; Dehui Kong (SIGGRAPH Posters, 2007)

A Distributed Cooperative Technology for Spatial Grid Computing. - Chenyu Li; Kunqing Xie; Xiujun Ma; Cuo Cai; Yanfeng Sun (Data Sci. J., 2007)

An Improved SVM Based on Similarity Metric. - Chaoyong Wang; Yanfeng Sun; Yanchun Liang (J. Univers. Comput. Sci., 2007)

Multi-scale dynamic human fatigue detection with feature level fusion. - Xiao Fan; Yanfeng Sun; Baocai Yin (FG, 2008)

Dynamic Human Fatigue Detection Using Feature-Level Fusion. - Xiao Fan; Baocai Yin; Yanfeng Sun (ICISP, 2008)

Nonintrusive Driver Fatigue Detection. - Xiao Fan; Baocai Yin; Yanfeng Sun (ICNSC, 2008)

Eyeglasses Eigenface Based Glasses-face Recognition. - Cai Fang Song; Baocai Yin; Yanfeng Sun (ICNSC, 2008)

Face Recognition Assisted With 3D Face Model. - Chengzhang Wang; Baocai Yin; Xiaoming Bai; Yanfeng Sun (ICNSC, 2008)

Color face recognition based on 2DPCA. - Chengzhang Wang; Baocai Yin; Xiaoming Bai; Yanfeng Sun (ICPR, 2008)

Dynamic Features Based Driver Fatigue Detection. - Xiao Fan; Baocai Yin; Yanfeng Sun (RSKT, 2008)

A Novel Nonuniform Division Strategy for Wearing Eyeglasses Face Recognition. - Li Liu; Yanfeng Sun; Baocai Yin; Cai Fang Song (ICIG, 2009)

Self-Adaptive 3D Face Recognition Based on Feature Division. - Hengliang Tang; Yanfeng Sun; Baocai Yin; Yun Ge (ICIG, 2009)

A Novel Hybrid Approach Based on Sub-pattern Technique and Extended 2DPCA for Color Face Recognition. - Shangyou Chen; Yanfeng Sun; Baocai Yin (ISM, 2009)

A Synthetic Region Selection Strategy for Texture Synthesis Based Video Coding. - Xiaowei Sun; Baocai Yin; Yunhui Shi; Dehui Kong; Yanfeng Sun; Jinghua Li (PCM, 2009)

Multiscale Dynamic Features Based Driver Fatigue Detection. - Baocai Yin; Xiao Fan; Yanfeng Sun (Int. J. Pattern Recognit. Artif. Intell., 2009)

Expression-robust 3D face recognition using LBP representation. - Hengliang Tang; Yanfeng Sun; Baocai Yin; Yun Ge (ICME, 2010)

Gabor-based dynamic representation for human fatigue monitoring in facial image sequences. - Xiao Fan; Yanfeng Sun; Baocai Yin; Xiuming Guo (Pattern Recognit. Lett., 2010)

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

SEMD Based Sparse Gabor Representation for Eyeglasses-Face Recognition. - Cai Fang Song; Baocai Yin; Yanfeng Sun (ICIAR (2), 2011)

Adaptive intra modes reduction by clustering for H.264/AVC. - Weijia Zhu; Wenpeng Ding; Yunhui Shi; Yanfeng Sun; Baocai Yin (ICIP, 2011)

3D Novel Face Sample Modeling for Face Recognition. - Yun Ge; Yanfeng Sun; Baocai Yin; Hengliang Tang (J. Multim., 2011)

Color face recognition based on quaternion matrix representation. - Yanfeng Sun; Shangyou Chen; Baocai Yin (Pattern Recognit. Lett., 2011)

3D Face Texture Stitching Based on Differential Coordinates. - Yun Ge; Baocai Yin; Yanfeng Sun; Hengliang Tang (Trans. Edutainment, 2011)

Mixed 2D-3D Information for Face Recognition. - Hengliang Tang; Yanfeng Sun; Baocai Yin; Yun Ge (Trans. Edutainment, 2011)

3D face recognition based on sparse representation. - Hengliang Tang; Yanfeng Sun; Baocai Yin; Yun Ge (J. Supercomput., 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)

Endmember Extraction by Exemplar Finder. - Yi Guo 001; Junbin Gao; Yanfeng Sun (ADMA (2), 2013)

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)

Nodes Location Method Based on Correlation Analysis in WSN. - Hengliang Tang; Yanfeng Sun; Jie Zhu; Mingru Zhao (IIH-MSP, 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)

Blocky artifact removal with low-rank matrix recovery. - Ming Yin 002; Junbin Gao; Yanfeng Sun; Shuting Cai (ICASSP, 2014)

Joint multiple dictionary learning for Tensor sparse coding. - Yifan Fu; Junbin Gao; Yanfeng Sun; Xia Hong 001 (IJCNN, 2014)

Dimensionality reduction assisted tensor clustering. - Yanfeng Sun; Junbin Gao; Xia Hong 001; Yi Guo 001; Chris J. Harris (IJCNN, 2014)

Expansion of 3D face sample set based on genetic algorithm. - Yun Ge; Baocai Yin; Yanfeng Sun; Guodong Jing (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 004; 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 004; 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)

A novel edge detection approach using a fusion model. - Xibin Jia; Haiyong Huang; Yanfeng Sun; Jianming Yuan; David M. W. Powers (Multim. Tools Appl., 2016)

Heterogeneous Tensor Decomposition for Clustering via Manifold Optimization. - Yanfeng Sun; Junbin Gao; Xia Hong 001; Bamdev Mishra; Baocai Yin (IEEE Trans. Pattern Anal. Mach. Intell., 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 004; 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 004; 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 004; 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)

Attention, Please! Adversarial Defense via Attention Rectification and Preservation. - Shangxi Wu; Jitao Sang; Kaiyuan Xu; Jiaming Zhang 006; Yanfeng Sun; Liping Jing; Jian Yu 001 (CoRR, 2018)

A Financial Embedded Vector Model and Its Applications to Time Series Forecasting. - Yanfeng Sun; Minglei Zhang; Si Chen; Xiaohu Shi (Int. J. Comput. Commun. Control, 2018)

Fast optimization algorithm on Riemannian manifolds and its application in low-rank learning. - Haoran Chen 004; 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)

Application of A-Priori Algorithm in Vibration Fault Diagnosis for Rotary Machinery. - Deyin Ma; Li Wang; Dongdi Zhang; Yanfeng Sun; Xiaohu Shi (AIAM (IEEE), 2019)

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)

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)

Maximally Correlated Principal Component Analysis Based on Deep Parameterization Learning. - Haoran Chen 004; Jinghua Li; Junbin Gao; Yanfeng Sun; Yongli Hu; Baocai Yin (ACM Trans. Knowl. Discov. Data, 2019)

Tensorizing Restricted Boltzmann Machine. - Fujiao Ju; Yanfeng Sun; Junbin Gao; Michael Antolovich; Jun-Liang Dong; Baocai Yin (ACM Trans. Knowl. Discov. Data, 2019)

Solving Partial Least Squares Regression via Manifold Optimization Approaches. - Haoran Chen 004; 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)

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)

Non-parametric Bayesian dictionary learning based on Laplace noise. - Fujiao Ju; Yanfeng Sun; Mingyang Li (Multim. Tools Appl., 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)

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)

A Global-Local Cascade Network for Multi-bone Segmentation in Chest CT. - Yanfeng Sun; Han Kang; Huan Zhang; Yu Wang; Hong Shen; Pengxin Yu (BIBM, 2022)

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

Robust Graph Convolutional Clustering With Adaptive Graph Learning. - Jiayi Zhao; Yanfeng Sun; Jipeng Guo 001; Junbin Gao; Baocai Yin (IJCNN, 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)

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

Adversarially regularized joint structured clustering network. - Yachao Yang; Fujiao Ju; Yanfeng Sun; Junbin Gao; 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)

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)

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)

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)

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)

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)

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)

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)

Principal component analysis based on graph embedding. - Fujiao Ju; Yanfeng Sun; Jianqiang Li; Yaxiao Zhang; Xinglin Piao (Multim. Tools Appl., 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)

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)

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

Genetic Algorithm Service Vulnerability Mining Technology of Android System. - Xiaoyan Guo; Yanfeng Sun (Scalable Comput. Pract. Exp., 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)

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

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)

Improved Attributed Graph Clustering with Representation and Structure Augmentation. - Jipeng Guo 001; Tengxiao Yin; Tianxiang Zhao 002; Jiayi Zhao; Yanfeng Sun; Junbin Gao; Youqing Wang (IJCNN, 2024)

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

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)

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)

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)

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)

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)

Channel-Resilient RF Fingerprint Identification Based on Nonlinear Features With Memory Effect. - Hua Fu; Yanfeng Sun; Linning Peng; Ming Liu 010 (IEEE Commun. Lett., 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)

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)

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

Nia-GNNs: neighbor-imbalanced aware graph neural networks for imbalanced node classification. - Yanfeng Sun; Yujia Wang; Shaofan Wang (Appl. Intell., 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)

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)

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)

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)

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)

Multi-View Hallucinatory Feature Generation Network for Isolated Sign Language Recognition. - Zhong Guan; Yongli Hu; Yanfeng Sun; Baocai Yin (IJCNN, 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)

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-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)

United diverse subgraph for graph incremental learning. - Yanfeng Sun; Jiaxing Zhang; Qi Zhang; Shaofan Wang; Baocai Yin (Pattern Recognit. Lett., 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)

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)

Uncertainty-guided recurrent prototype distillation for graph few-shot class-incremental learning. - Ning Zhu; Shaofan Wang; 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)

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)

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)