ITR-Score algorithm: An efficient Trace ratio criterion based algorithm for supervised dimensionality reduction. - Ming-Bo Zhao; Zhao Zhang 001; Tommy W. S. Chow (IJCNN, 2011)

Tensor Locally Linear Discriminative Analysis. - Zhao Zhang 001; Tommy W. S. Chow (IEEE Signal Process. Lett., 2011)

On the Theoretical and Computational Analysis between SDA and Lap-LDA. - Ming-Bo Zhao; Zhao Zhang 001; Tommy W. S. Chow (ICTAI, 2012)

Extracting the informative constraints for semi-supervised marginal projections in multimodal dimensionality reduction. - Zhao Zhang 001; Ming-Bo Zhao; Tommy W. S. Chow (IJCNN, 2012)

On the theoretical and computational analysis between Trace Ratio LDA and null-space LDA. - Ming-Bo Zhao; Zhao Zhang 001; Tommy W. S. Chow; Zhou Wu 001 (IJCNN, 2012)

Maximum Margin Multisurface Support Tensor Machines with application to image classification and segmentation. - Zhao Zhang 001; Tommy W. S. Chow (Expert Syst. Appl., 2012)

Robust linearly optimized discriminant analysis. - Zhao Zhang 001; Tommy W. S. Chow (Neurocomputing, 2012)

Marginal semi-supervised sub-manifold projections with informative constraints for dimensionality reduction and recognition. - Zhao Zhang 001; Ming-Bo Zhao; Tommy W. S. Chow (Neural Networks, 2012)

Constrained large Margin Local Projection algorithms and extensions for multimodal dimensionality reduction. - Zhao Zhang 001; Ming-Bo Zhao; Tommy W. S. Chow (Pattern Recognit., 2012)

Trace ratio criterion based generalized discriminative learning for semi-supervised dimensionality reduction. - Ming-Bo Zhao; Zhao Zhang 001; Tommy W. S. Chow (Pattern Recognit., 2012)

Random walk-based fuzzy linear discriminant analysis for dimensionality reduction. - Ming-Bo Zhao; Tommy W. S. Chow; Zhao Zhang 001 (Soft Comput., 2012)

Handwriting representation and recognition through a sparse projection and low-rank recovery framework. - Zhao Zhang 001; Cheng-Lin Liu 001; Ming-Bo Zhao (IJCNN, 2013)

Robust image representation and decomposition by Laplacian regularized latent low-rank representation. - Zhao Zhang 001; Shuicheng Yan; Ming-Bo Zhao (IJCNN, 2013)

ColorPCA: Color principal feature extraction technique for color image reconstruction and recognition. - Zhao Zhang 001; Ming-Bo Zhao; Bing Li 007; Peng Tang (IJCNN, 2013)

Learning from local and global discriminative information for semi-supervised dimensionality reduction. - Ming-Bo Zhao; Zhao Zhang 001; Zhao Zhang 001 (IJCNN, 2013)

Learning from local and global discriminative information for semi-supervised dimensionality reduction. - Ming-Bo Zhao; Zhao Zhang 001; Zhao Zhang 001 (IJCNN, 2013)

A soft label based linear discriminant analysis for semi-supervised dimensionality reduction. - Ming-Bo Zhao; Zhao Zhang 001; Zhao Zhang 001 (IJCNN, 2013)

A soft label based linear discriminant analysis for semi-supervised dimensionality reduction. - Ming-Bo Zhao; Zhao Zhang 001; Zhao Zhang 001 (IJCNN, 2013)

Semisupervised Multimodal Dimensionality Reduction. - Zhao Zhang 001; Tommy W. S. Chow; Ning Ye (Comput. Intell., 2013)

M-Isomap: Orthogonal Constrained Marginal Isomap for Nonlinear Dimensionality Reduction. - Zhao Zhang 001; Tommy W. S. Chow; Ming-Bo Zhao (IEEE Trans. Cybern., 2013)

Pairwise Sparsity Preserving Embedding for Unsupervised Subspace Learning and Classification. - Zhao Zhang 001; Shuicheng Yan; Mingbo Zhao (IEEE Trans. Image Process., 2013)

Trace Ratio Optimization-Based Semi-Supervised Nonlinear Dimensionality Reduction for Marginal Manifold Visualization. - Zhao Zhang 001; Tommy W. S. Chow; Ming-Bo Zhao (IEEE Trans. Knowl. Data Eng., 2013)

Binary- and Multi-class Group Sparse Canonical Correlation Analysis for Feature Extraction and Classification. - Zhao Zhang 001; Ming-Bo Zhao; Tommy W. S. Chow (IEEE Trans. Knowl. Data Eng., 2013)

Transformed Neighborhood Propagation. - Zhao Zhang 001; Fanzhang Li; Ming-Bo Zhao (ICPR, 2014)

Robust bilinear matrix recovery by Tensor Low-Rank Representation. - Zhao Zhang 001; Shuicheng Yan; Ming-Bo Zhao; Fanzhang Li (IJCNN, 2014)

Label propagation and soft-similarity measure for graph based Constrained Semi-Supervised Learning. - Zhao Zhang 001; Ming-Bo Zhao; Tommy W. S. Chow (IJCNN, 2014)

Soft label based Linear Discriminant Analysis for image recognition and retrieval. - Ming-Bo Zhao; Zhao Zhang 001; Tommy W. S. Chow; Bing Li 007 (Comput. Vis. Image Underst., 2014)

Fault diagnosis of rolling element bearings via discriminative subspace learning: Visualization and classification. - Ming-Bo Zhao; Xiaohang Jin; Zhao Zhang 001; Bing Li 007 (Expert Syst. Appl., 2014)

Similarity preserving low-rank representation for enhanced data representation and effective subspace learning. - Zhao Zhang 001; Shuicheng Yan; Ming-Bo Zhao (Neural Networks, 2014)

A general soft label based Linear Discriminant Analysis for semi-supervised dimensionality reduction. - Ming-Bo Zhao; Zhao Zhang 001; Tommy W. S. Chow; Bing Li 007 (Neural Networks, 2014)

A study on tongue image color description based on label distribution learning. - Mingjun Gui; Xinfeng Zhang 002; Guangqin Hu; Chunmei Zhang; Zhao Zhang 001 (BMEI, 2015)

Projective Label Propagation by Label Embedding. - Zhao Zhang 001; Weiming Jiang; Fanzhang Li; Li Zhang 004; Ming-Bo Zhao; Lei Jia (CAIP (2), 2015)

L1-Norm Driven Semi-supervised Local Discriminant Projection for Robust Image Representation. - Xiaoyu Wang; Zhao Zhang 001; Yu Tang; Weiming Jiang; Fanzhang Li (ICTAI, 2015)

A fast approximation algorithm for 1-norm SVM with squared loss. - Li Zhang 004; Weida Zhou; Zhao Zhang 001; Jiwen Yang (IJCNN, 2015)

Semi-supervised label consistent dictionary learning for machine fault classification. - Weiming Jiang; Zhao Zhang 001; Fanzhang Li; Li Zhang 004; Ming-Bo Zhao (INDIN, 2015)

Semi-Supervised Image Classification by Nonnegative Sparse Neighborhood Propagation. - Zhao Zhang 001; Li Zhang 004; Ming-Bo Zhao; Weiming Jiang; Yuchen Liang; Fanzhang Li (ICMR, 2015)

Simple yet effective color principal and discriminant feature extraction for representing and recognizing color images. - Zhao Zhang 001; Ming-Bo Zhao; Bing Li 007; Peng Tang; Fanzhang Li (Neurocomputing, 2015)

Learning from normalized local and global discriminative information for semi-supervised regression and dimensionality reduction. - Ming-Bo Zhao; Tommy W. S. Chow; Zhou Wu 001; Zhao Zhang 001; Bing Li 007 (Inf. Sci., 2015)

Bilinear low-rank coding framework and extension for robust image recovery and feature representation. - Zhao Zhang 001; Shuicheng Yan; Ming-Bo Zhao; Fanzhang Li (Knowl. Based Syst., 2015)

Automatic image annotation via compact graph based semi-supervised learning. - Ming-Bo Zhao; Tommy W. S. Chow; Zhao Zhang 001; Bing Li 007 (Knowl. Based Syst., 2015)

Bilinear Embedding Label Propagation: Towards Scalable Prediction of Image Labels. - Yuchen Liang; Zhao Zhang 001; Weiming Jiang; Ming-Bo Zhao; Fanzhang Li (IEEE Signal Process. Lett., 2015)

A Sparse Projection and Low-Rank Recovery Framework for Handwriting Representation and Salient Stroke Feature Extraction. - Zhao Zhang 001; Cheng-Lin Liu 001; Ming-Bo Zhao (ACM Trans. Intell. Syst. Technol., 2015)

Graph Based Constrained Semi-Supervised Learning Framework via Label Propagation over Adaptive Neighborhood. - Zhao Zhang 001; Ming-Bo Zhao; Tommy W. S. Chow (IEEE Trans. Knowl. Data Eng., 2015)

Adaptive Neighborhood Propagation by Joint L2, 1-Norm Regularized Sparse Coding for Representation and Classification. - Lei Jia; Zhao Zhang 001; Lei Wang 124; Weiming Jiang; Ming-Bo Zhao (ICDM, 2016)

Nuclear-norm regularized neighborhood preserving projection. - Zhao Zhang 001; Fanzhang Li; Mingbo Zhao; Li Zhang 004; Shuicheng Yan (ICIP, 2016)

Semi-supervised Classification by Nuclear-Norm Based Transductive Label Propagation. - Lei Jia; Zhao Zhang 001; Yan Zhang 053 (ICONIP (3), 2016)

Two-Dimensional Soft Linear Discriminant Projection for Robust Image Feature Extraction and Recognition. - Yu Tang; Zhao Zhang 001; Weiming Jiang (ICONIP (4), 2016)

Robust Soft Semi-supervised Discriminant Projection for Feature Learning. - Xiaoyu Wang; Zhao Zhang 001; Yan Zhang 053 (ICONIP (2), 2016)

Hidden Space Neighbourhood Component Analysis for Cancer Classification. - Li Zhang 004; Xiaojuan Huang; Bangjun Wang; Fanzhang Li; Zhao Zhang 001 (ICONIP (4), 2016)

Sparse Auto-encoder with Smoothed l_1 Regularization. - Li Zhang 004; Ya-Ping Lu; Zhao Zhang 001; Bangjun Wang; Fanzhang Li (ICONIP (3), 2016)

Robust L1-norm matrixed locality preserving projection for discriminative subspace learning. - Yu Tang; Zhao Zhang 001; Yan Zhang 053; Fanzhang Li (IJCNN, 2016)

Joint nuclear-norm nonlinear Manifold Learning and robust Classification by linear embedding. - Yan Zhang 053; Zhao Zhang 001; Lei Jia; Fanzhang Li (IJCNN, 2016)

Joint lp- and l2, p-norm minimization for subspace clustering with outlier pursuit. - Ming-Bo Zhao; Zhao Zhang 001; Wenlong Cheng; Zhao Zhang 001 (IJCNN, 2016)

Joint lp- and l2, p-norm minimization for subspace clustering with outlier pursuit. - Ming-Bo Zhao; Zhao Zhang 001; Wenlong Cheng; Zhao Zhang 001 (IJCNN, 2016)

Latent label consistent K-SVD for joint machine faults representation and classification. - Zhao Zhang 001; Weiming Jiang; Lei Jia; Mingbo Zhao; Fanzhang Li (INDIN, 2016)

Transductive Classification by Robust Linear Neighborhood Propagation. - Lei Jia; Zhao Zhang 001; Weiming Jiang (PCM (1), 2016)

Discriminative Sparse Coding by Nuclear Norm-Driven Semi-Supervised Dictionary Learning. - Weiming Jiang; Zhao Zhang 001; Yan Zhang 053; Fanzhang Li (PCM (1), 2016)

Local uncorrelated local discriminant embedding for face recognition. - Xiao-hu Ma; Meng Yang; Zhao Zhang 001 (Frontiers Inf. Technol. Electron. Eng., 2016)

Joint Label Consistent Dictionary Learning and Adaptive Label Prediction for Semisupervised Machine Fault Classification. - Weiming Jiang; Zhao Zhang 001; Fanzhang Li; Li Zhang 004; Ming-Bo Zhao; Xiaohang Jin (IEEE Trans. Ind. Informatics, 2016)

Joint Low-Rank and Sparse Principal Feature Coding for Enhanced Robust Representation and Visual Classification. - Zhao Zhang 001; Fanzhang Li; Ming-Bo Zhao; Li Zhang 004; Shuicheng Yan (IEEE Trans. Image Process., 2016)

Can the Virtual Labels Obtained by Traditional LP Approaches Be Well Encoded in WLR? - Qiaolin Ye; Jian Yang 003; Tongming Yin; Zhao Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2016)

Sparse Codes Auto-Extractor for Classification: A Joint Embedding and Dictionary Learning Framework for Representation. - Zhao Zhang 001; Fanzhang Li; Tommy W. S. Chow; Li Zhang 004; Shuicheng Yan (IEEE Trans. Signal Process., 2016)

Robust Projective Dictionary Learning by Joint Label Embedding and Classification. - Weiming Jiang; Zhao Zhang 001; Jie Qin; Mingbo Zhao; Fanzhang Li; Shuicheng Yan (ICDM Workshops, 2017)

Iterative Local Hyperlinear Learning Based Relief for Feature Weight Estimation. - Xiaojuan Huang; Li Zhang 004; Bangjun Wang; Zhao Zhang 001; Fanzhang Li (ICONIP (1), 2017)

Subspace Clustering via Adaptive Low-Rank Model. - Mingbo Zhao; Wenlong Cheng; Zhao Zhang 001; Choujun Zhan (ICONIP (6), 2017)

Graph based semi-supervised classification via capped l2, 1-norm regularized dictionary learning. - Mingbo Zhao; Zhao Zhang 001; Choujun Zhan; Wei Wang (INDIN, 2017)

Robust image recognition by L1-norm twin-projection support vector machine. - Zhenfeng Gu; Zhao Zhang 001; Jiabao Sun; Bing Li 007 (Neurocomputing, 2017)

Projective label propagation by label embedding: A deep label prediction framework for representation and classification. - Zhao Zhang 001; Lei Wang 124; Lei Jia; Fanzhang Li; Li Zhang 004; Mingbo Zhao (Knowl. Based Syst., 2017)

Discriminative clustering on manifold for adaptive transductive classification. - Zhao Zhang 001; Lei Jia; Min Zhang 005; Bing Li 007; Li Zhang 004; Fanzhang Li (Neural Networks, 2017)

Robust Alternating Low-Rank Representation by joint Lp- and L2, p-norm minimization. - Zhao Zhang 001; Mingbo Zhao; Fanzhang Li; Li Zhang 004; Shuicheng Yan (Neural Networks, 2017)

Spectral clustering based on similarity and dissimilarity criterion. - Bangjun Wang; Li Zhang 004; Caili Wu; Fanzhang Li; Zhao Zhang 001 (Pattern Anal. Appl., 2017)

Decision pyramid classifier for face recognition under complex variations using single sample per person. - Tingwei Pei; Li Zhang 004; Bangjun Wang; Fanzhang Li; Zhao Zhang 001 (Pattern Recognit., 2017)

Discriminative sparse flexible manifold embedding with novel graph for robust visual representation and label propagation. - Zhao Zhang 001; Yan Zhang 053; Fanzhang Li; Ming-Bo Zhao; Li Zhang 004; Shuicheng Yan (Pattern Recognit., 2017)

Structured Latent Label Consistent Dictionary Learning for Salient Machine Faults Representation-Based Robust Classification. - Zhao Zhang 001; Weiming Jiang; Fanzhang Li; Mingbo Zhao; Bing Li 007; Li Zhang 004 (IEEE Trans. Ind. Informatics, 2017)

Robust Neighborhood Preserving Projection by Nuclear/L2, 1-Norm Regularization for Image Feature Extraction. - Zhao Zhang 001; Fanzhang Li; Mingbo Zhao; Li Zhang 004; Shuicheng Yan (IEEE Trans. Image Process., 2017)

A Joint Generative Model for Zero-Shot Learning. - Rui Gao; Xingsong Hou; Jie Qin; Li Liu 004; Fan Zhu 001; Zhao Zhang 001 (ECCV Workshops (4), 2018)

Robust Projective Low-Rank and Sparse Representation by Robust Dictionary Learning. - Jiahuan Ren; Zhao Zhang 001; Sheng Li 001; Guangcan Liu; Meng Wang 001; Shuicheng Yan (ICPR, 2018)

Robust Discriminative Projective Dictionary Pair Learning by Adaptive Representations. - Yulin Sun; Zhao Zhang 001; Weiming Jiang; Guangcan Liu; Meng Wang 001; Shuicheng Yan (ICPR, 2018)

Robust Adaptive Low-Rank and Sparse Embedding for Feature Representation. - Lei Wang 124; Zhao Zhang 001; Guangcan Liu; Qiaolin Ye; Jie Qin; Meng Wang 001 (ICPR, 2018)

Rotational Invariant Discriminant Subspace Learning For Image Classification. - Qiaolin Ye; Zhao Zhang 001 (ICPR, 2018)

Robust Locality-Constrained Label Consistent K-SVD by Joint Sparse Embedding. - Zhao Zhang 001; Weiming Jiang; Sheng Li 001; Jie Qin; Guangcan Liu; Shuicheng Yan (ICPR, 2018)

Robust Adaptive Label Propagation by Double Matrix Decomposition. - Huan Zhang; Zhao Zhang 001; Sheng Li 001; Qiaolin Ye; Mingbo Zhao; Meng Wang 001 (ICPR, 2018)

Robust Neighborhood Preserving Low-Rank Sparse CNN Features for Classification. - Zemin Tang; Zhao Zhang 001; Xiao-hu Ma; Jie Qin; Mingbo Zhao (PCM (1), 2018)

Anchored Projection Based Capped l_2, 1 -Norm Regression for Super-Resolution. - Xiaotian Ma; Mingbo Zhao; Zhao Zhang 001; Jicong Fan 001; Choujun Zhan (PRICAI, 2018)

Similarity-Adaptive Latent Low-Rank Representation for Robust Data Representation. - Lei Wang 124; Zhao Zhang 001; Sheng Li 001; Guangcan Liu; Chenping Hou; Jie Qin (PRICAI (1), 2018)

Incomplete Multi-view Clustering via Structured Graph Learning. - Jie Wu; Wenzhang Zhuge; Hong Tao; Chenping Hou; Zhao Zhang 001 (PRICAI (1), 2018)

Feature clustering based support vector machine recursive feature elimination for gene selection. - Xiaojuan Huang; Li Zhang 004; Bangjun Wang; Fanzhang Li; Zhao Zhang 001 (Appl. Intell., 2018)

Nonlinear feature selection using Gaussian kernel SVM-RFE for fault diagnosis. - Yangtao Xue; Li Zhang 004; Bangjun Wang; Zhao Zhang 001; Fanzhang Li (Appl. Intell., 2018)

Applying 1-norm SVM with squared loss to gene selection for cancer classification. - Li Zhang 004; Weida Zhou; Bangjun Wang; Zhao Zhang 001; Fanzhang Li (Appl. Intell., 2018)

Fast and Robust Subspace Clustering Using Random Projections. - Guangcan Liu; Qingshan Liu 001; Yubao Sun; Zhao Zhang 001; Meng Wang 001 (CoRR, 2018)

Trace Ratio Criterion based Discriminative Feature Selection via l2, p-norm regularization for supervised learning. - Mingbo Zhao; Mingquan Lin; Bernard Chiu; Zhao Zhang 001; Xue-Song Tang (Neurocomputing, 2018)

Deep learning algorithm with visual impression. - Mengduo Yang; Fanzhang Li; Li Zhang 004; Zhao Zhang 001 (Inf. Process. Lett., 2018)

Lie group impression for deep learning. - Mengduo Yang; Fanzhang Li; Li Zhang 004; Zhao Zhang 001 (Inf. Process. Lett., 2018)

Lp- and Ls-Norm Distance Based Robust Linear Discriminant Analysis. - Qiaolin Ye; Liyong Fu; Zhao Zhang 001; Henghao Zhao; Meem Abdullah Naiem (Neural Networks, 2018)

Adaptive non-negative projective semi-supervised learning for inductive classification. - Zhao Zhang 001; Lei Jia; Mingbo Zhao; Qiaolin Ye; Min Zhang 005; Meng Wang 001 (Neural Networks, 2018)

Sparse Auto-encoder with Smoothed l1 Regularization. - Li Zhang 004; Ya-Ping Lu; Bangjun Wang; Fanzhang Li; Zhao Zhang 001 (Neural Process. Lett., 2018)

Feature weight estimation based on dynamic representation and neighbor sparse reconstruction. - Xiaojuan Huang; Li Zhang 004; Bangjun Wang; Zhao Zhang 001; Fanzhang Li (Pattern Recognit., 2018)

Semi-supervised local multi-manifold Isomap by linear embedding for feature extraction. - Yan Zhang 053; Zhao Zhang 001; Jie Qin; Li Zhang 004; Bing Li 007; Fanzhang Li (Pattern Recognit., 2018)

Jointly Learning Structured Analysis Discriminative Dictionary and Analysis Multiclass Classifier. - Zhao Zhang 001; Weiming Jiang; Jie Qin; Li Zhang 004; Fanzhang Li; Min Zhang 005; Shuicheng Yan (IEEE Trans. Neural Networks Learn. Syst., 2018)

Robust Adaptive Embedded Label Propagation With Weight Learning for Inductive Classification. - Zhao Zhang 001; Fanzhang Li; Lei Jia; Jie Qin; Li Zhang 004; Shuicheng Yan (IEEE Trans. Neural Networks Learn. Syst., 2018)

Robust Unsupervised Flexible Auto-weighted Local-coordinate Concept Factorization for Image Clustering. - Zhao Zhang 001; Yan Zhang 053; Sheng Li 001; Guangcan Liu; Meng Wang 001; Shuicheng Yan (ICASSP, 2019)

Adaptive Structure-Constrained Robust Latent Low-Rank Coding for Image Recovery. - Zhao Zhang 001; Lei Wang 124; Sheng Li 001; Yang Wang 023; Zheng Zhang 006; Zhengjun Zha; Meng Wang 001 (ICDM, 2019)

A Coarse-to-Fine Multi-stream Hybrid Deraining Network for Single Image Deraining. - Yanyan Wei; Zhao Zhang 001; Haijun Zhang 002; Richang Hong; Meng Wang 001 (ICDM, 2019)

Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification. - Zhao Zhang 001; Yulin Sun; Zheng Zhang 006; Yang Wang 023; Guangcan Liu; Meng Wang 001 (ICDM, 2019)

Scalable Block-Diagonal Locality-Constrained Projective Dictionary Learning. - Zhao Zhang 001; Weiming Jiang; Zheng Zhang 006; Sheng Li 001; Guangcan Liu; Jie Qin (IJCAI, 2019)

Robust Subspace Discovery by Block-diagonal Adaptive Locality-constrained Representation. - Zhao Zhang 001; Jiahuan Ren; Sheng Li 001; Richang Hong; Zhengjun Zha; Meng Wang 001 (ACM Multimedia, 2019)

Kernelized Multiview Subspace Analysis by Self-weighted Learning. - Huibing Wang; Yang Wang 023; Zhao Zhang 001; Xianping Fu; Meng Wang 001 (CoRR, 2019)

Diversifying Inference Path Selection: Moving-Mobile-Network for Landmark Recognition. - Biao Qian; Yang Wang 023; Zhao Zhang 001; Richang Hong; Meng Wang 001; Ling Shao 001 (CoRR, 2019)

Fast DenseNet: Towards Efficient and Accurate Text Recognition with Fast Dense Networks. - Zhao Zhang 001; Zemin Tang; Yang Wang 023; Zheng Zhang 006; Shuicheng Yan; Meng Wang 001 (CoRR, 2019)

ALG: Adaptive low-rank graph regularization for scalable semi-supervised and unsupervised learning. - Mingbo Zhao; Yue Zhang 004; Zhao Zhang 001; Jiao Liu; Weijian Kong (Neurocomputing, 2019)

Incremental updating knowledge in neighborhood multigranulation rough sets under dynamic granular structures. - Chengxiang Hu; Li Zhang 004; Bangjun Wang; Zhao Zhang 001; Fanzhang Li (Knowl. Based Syst., 2019)

Robust auto-weighted projective low-rank and sparse recovery for visual representation. - Lei Wang 124; Bangjun Wang; Zhao Zhang 001; Qiaolin Ye; Liyong Fu; Guangcan Liu; Meng Wang 001 (Neural Networks, 2019)

Multi-view clustering via spectral embedding fusion. - Hongwei Yin; Fanzhang Li; Li Zhang 004; Zhao Zhang 001 (Soft Comput., 2019)

Kernel-Induced Label Propagation by Mapping for Semi-Supervised Classification. - Zhao Zhang 001; Lei Jia; Mingbo Zhao; Guangcan Liu; Meng Wang 001; Shuicheng Yan (IEEE Trans. Big Data, 2019)

Robust Subspace Clustering With Compressed Data. - Guangcan Liu; Zhao Zhang 001; Qingshan Liu 001; Hongkai Xiong (IEEE Trans. Image Process., 2019)

Unsupervised Nonnegative Adaptive Feature Extraction for Data Representation. - Yan Zhang 053; Zhao Zhang 001; Sheng Li 001; Jie Qin; Guangcan Liu; Meng Wang 001; Shuicheng Yan (IEEE Trans. Knowl. Data Eng., 2019)

Nonpeaked Discriminant Analysis for Data Representation. - Qiaolin Ye; Zechao Li; Liyong Fu; Zhao Zhang 001; Wankou Yang; Guowei Yang 002 (IEEE Trans. Neural Networks Learn. Syst., 2019)

Multilayer Collaborative Low-Rank Coding Network for Robust Deep Subspace Discovery. - Xianzhen Li; Zhao Zhang 001; Yang Wang 023; Guangcan Liu; Shuicheng Yan; Meng Wang 001 (ECAI, 2020)

Convolutional Dictionary Pair Learning Network for Image Representation Learning. - Zhao Zhang 001; Yulin Sun; Yang Wang 023; Zhengjun Zha; Shuicheng Yan; Meng Wang 001 (ECAI, 2020)

Fully-Convolutional Intensive Feature Flow Neural Network for Text Recognition. - Zhao Zhang 001; Zemin Tang; Zheng Zhang 006; Yang Wang 023; Jie Qin; Meng Wang 001 (ECAI, 2020)

MDPL-net: Multi-layer Dictionary Learning Network with Added Skip Dense Connections. - Zhao Zhang 001; Yulin Sun; Zheng Zhang 006; Yang Wang 023; Lin Wu 001; Meng Wang 001 (ICDM, 2020)

Unsupervised Vehicle Re-identification with Progressive Adaptation. - Jinjia Peng; Yang Wang 023; Huibing Wang; Zhao Zhang 001; Xianping Fu; Meng Wang 001 (IJCAI, 2020)

Deep Latent Low-Rank Fusion Network for Progressive Subspace Discovery. - Zhao Zhang 001; Jiahuan Ren; Zheng Zhang 006; Guangcan Liu (IJCAI, 2020)

DIMC-net: Deep Incomplete Multi-view Clustering Network. - Jie Wen 001; Zheng Zhang 006; Zhao Zhang 001; Zhihao Wu 002; Lunke Fei; Yong Xu 001; Bob Zhang 001 (ACM Multimedia, 2020)

Adaptive Multiple-View Label Propagation for Semi-supervised Classification. - Lei Jia; Huan Zhang; Zhao Zhang 001 (NCAA, 2020)

Deep Self-representative Concept Factorization Network for Representation Learning. - Yan Zhang 053; Zhao Zhang 001; Zheng Zhang 006; Mingbo Zhao; Li Zhang 004; Zhengjun Zha; Meng Wang 001 (SDM, 2020)

Semi-DerainGAN: A New Semi-supervised Single Image Deraining Network. - Yanyan Wei; Zhao Zhang 001; Yang Wang 023; Mingbo Zhao; Meng Wang 001 (CoRR, 2020)

Fast Dense Residual Network: Enhancing Global Dense Feature Flow for Text Recognition. - Zhao Zhang 001; Zemin Tang; Yang Wang 023; Jie Qin; Zhengjun Zha; Shuicheng Yan (CoRR, 2020)

A Survey on Concept Factorization: From Shallow to Deep Representation Learning. - Zhao Zhang 001; Yan Zhang 053; Li Zhang 004; Shuicheng Yan (CoRR, 2020)

WarpClothingOut: A Stepwise Framework for Clothes Translation From the Human Body to Tiled Images. - Haijun Zhang 002; Xinghao Wang; Linlin Liu; Dongliang Zhou; Zhao Zhang 001 (IEEE Multim., 2020)

An End-to-End Framework for Clothing Collocation Based on Semantic Feature Fusion. - Mingbo Zhao; Yu Liu 030; Xianrui Li; Zhao Zhang 001; Yue Zhang 004 (IEEE Multim., 2020)

Mutual-manifold regularized robust fast latent LRR for subspace recovery and learning. - Xianzhen Li; Zhao Zhang 001; Li Zhang 004; Meng Wang 001 (Neural Comput. Appl., 2020)

DenseNet with Up-Sampling block for recognizing texts in images. - Zeming Tang; Weiming Jiang; Zhao Zhang 001; Mingbo Zhao; Li Zhang 004; Meng Wang 001 (Neural Comput. Appl., 2020)

TileGAN: category-oriented attention-based high-quality tiled clothes generation from dressed person. - Wei Zeng; Mingbo Zhao; Yuan Gao 015; Zhao Zhang 001 (Neural Comput. Appl., 2020)

Self-attention driven adversarial similarity learning network. - Xinjian Gao; Zhao Zhang 001; Tingting Mu; Xudong Zhang; Chaoran Cui; Meng Wang 001 (Pattern Recognit., 2020)

Joint Subspace Recovery and Enhanced Locality Driven Robust Flexible Discriminative Dictionary Learning. - Zhao Zhang 001; Jiahuan Ren; Weiming Jiang; Zheng Zhang 006; Richang Hong; Shuicheng Yan; Meng Wang 001 (IEEE Trans. Circuits Syst. Video Technol., 2020)

Zero-VAE-GAN: Generating Unseen Features for Generalized and Transductive Zero-Shot Learning. - Rui Gao; Xingsong Hou; Jie Qin; Jiaxin Chen 002; Li Liu 004; Fan Zhu 001; Zhao Zhang 001; Ling Shao 001 (IEEE Trans. Image Process., 2020)

Learning Hybrid Representation by Robust Dictionary Learning in Factorized Compressed Space. - Jiahuan Ren; Zhao Zhang 001; Sheng Li 001; Yang Wang 023; Guangcan Liu; Shuicheng Yan; Meng Wang 001 (IEEE Trans. Image Process., 2020)

Joint Label Prediction Based Semi-Supervised Adaptive Concept Factorization for Robust Data Representation. - Zhao Zhang 001; Yan Zhang 053; Guangcan Liu; Jinhui Tang 001; Shuicheng Yan; Meng Wang 001 (IEEE Trans. Knowl. Data Eng., 2020)

Discriminative Fisher Embedding Dictionary Learning Algorithm for Object Recognition. - Zhengming Li; Zheng Zhang 006; Jie Qin; Zhao Zhang 001; Ling Shao 001 (IEEE Trans. Neural Networks Learn. Syst., 2020)

Collocating Clothes With Generative Adversarial Networks Cosupervised by Categories and Attributes: A Multidiscriminator Framework. - Linlin Liu; Haijun Zhang 002; Xiaofei Xu; Zhao Zhang 001; Shuicheng Yan (IEEE Trans. Neural Networks Learn. Syst., 2020)

Discriminative Local Sparse Representation by Robust Adaptive Dictionary Pair Learning. - Yulin Sun; Zhao Zhang 001; Weiming Jiang; Zheng Zhang 006; Li Zhang 004; Shuicheng Yan; Meng Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2020)

Robust Triple-Matrix-Recovery-Based Auto-Weighted Label Propagation for Classification. - Huan Zhang; Zhao Zhang 001; Mingbo Zhao; Qiaolin Ye; Min Zhang 005; Meng Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2020)

Unified Tensor Framework for Incomplete Multi-view Clustering and Missing-view Inferring. - Jie Wen 001; Zheng Zhang 006; Zhao Zhang 001; Lei Zhu 002; Lunke Fei; Bob Zhang 001; Yong Xu 001 (AAAI, 2021)

Partial-Label and Structure-constrained Deep Coupled Factorization Network. - Yan Zhang 053; Zhao Zhang 001; Yang Wang 023; Zheng Zhang 006; Li Zhang 004; Shuicheng Yan; Meng Wang 001 (AAAI, 2021)

Dictionary Pair-based Data-Free Fast Deep Neural Network Compression. - Yangcheng Gao; Zhao Zhang 001; Haijun Zhang 002; Mingbo Zhao; Yi Yang 001; Meng Wang 001 (ICDM, 2021)

Robust Low-rank Deep Feature Recovery in CNNs: Toward Low Information Loss and Fast Convergence. - Jiahuan Ren; Zhao Zhang 001; Jicong Fan 001; Haijun Zhang 002; Mingliang Xu 001; Meng Wang 001 (ICDM, 2021)

Discriminative Additive Scale Loss for Deep Imbalanced Classification and Embedding. - Zhao Zhang 001; Weiming Jiang; Yang Wang 023; Qiaolin Ye; Mingbo Zhao; Mingliang Xu 001; Meng Wang 001 (ICDM, 2021)

Triplet Deep Subspace Clustering via Self-Supervised Data Augmentation. - Zhao Zhang 001; Xianzhen Li; Haijun Zhang 002; Yi Yang 001; Shuicheng Yan; Meng Wang 001 (ICDM, 2021)

Semi-Deraingan: A New Semi-Supervised Single Image Deraining. - Yanyan Wei; Zhao Zhang 001; Yang Wang 023; Haijun Zhang 002; Mingbo Zhao; Mingliang Xu 001; Meng Wang 001 (ICME, 2021)

Fisher-regularized Support Vector Machine with Pinball Loss Function. - Zhengqi Zhang; Li Zhang 004; Zhao Zhang 001 (IJCNN, 2021)

GCM-Net: Towards Effective Global Context Modeling for Image Inpainting. - Huan Zheng; Zhao Zhang 001; Yang Wang 023; Zheng Zhang 006; Mingliang Xu 001; Yi Yang 001; Meng Wang 001 (ACM Multimedia, 2021)

Deep Adversarial Inconsistent Cognitive Sampling for Multi-view Progressive Subspace Clustering. - Renhao Sun; Yang Wang 023; Zhao Zhang 001; Richang Hong; Meng Wang 001 (CoRR, 2021)

EGGS: Eigen-Gap Guided Search Making Subspace Clustering Easy. - Jicong Fan 001; Yiheng Tu; Zhao Zhang 001; Mingbo Zhao (CoRR, 2021)

Arbitrary Virtual Try-On Network: Characteristics Preservation and Trade-off between Body and Clothing. - Yu Liu 030; Mingbo Zhao; Zhao Zhang 001; Haijun Zhang 002; Shuicheng Yan (CoRR, 2021)

Dual-Constrained Deep Semi-Supervised Coupled Factorization Network with Enriched Prior. - Yan Zhang 053; Zhao Zhang 001; Yang Wang 023; Zheng Zhang 006; Li Zhang 004; Shuicheng Yan; Meng Wang 001 (Int. J. Comput. Vis., 2021)

A Survey on Concept Factorization: From Shallow to Deep Representation Learning. - Zhao Zhang 001; Yan Zhang 053; Mingliang Xu 001; Li Zhang 004; Yi Yang 001; Shuicheng Yan (Inf. Process. Manag., 2021)

CNN-based encoder-decoder networks for salient object detection: A comprehensive review and recent advances. - Yuzhu Ji; Haijun Zhang 002; Zhao Zhang 001; Ming Liu 014 (Inf. Sci., 2021)

Editorial: IMAVIS special issue on deep cross-media neural model for generating image descriptions. - Zhao Zhang 001; Sheng Li 001; Meng Wang 001; Shuicheng Yan (Image Vis. Comput., 2021)

A scalable sub-graph regularization for efficient content based image retrieval with long-term relevance feedback enhancement. - Mingbo Zhao; Jiao Liu; Zhao Zhang 001; Jicong Fan 001 (Knowl. Based Syst., 2021)

Incremental multi-view spectral clustering with sparse and connected graph learning. - Hongwei Yin; Wenjun Hu; Zhao Zhang 001; Jungang Lou; Minmin Miao (Neural Networks, 2021)

Dense Residual Network: Enhancing global dense feature flow for character recognition. - Zhao Zhang 001; Zemin Tang; Yang Wang 023; Zheng Zhang 006; Choujun Zhan; Zhengjun Zha; Meng Wang 001 (Neural Networks, 2021)

Clothes image caption generation with attribute detection and visual attention model. - Xianrui Li; Zhiling Ye; Zhao Zhang 001; Mingbo Zhao (Pattern Recognit. Lett., 2021)

Generalized Incomplete Multiview Clustering With Flexible Locality Structure Diffusion. - Jie Wen 001; Zheng Zhang 006; Zhao Zhang 001; Lunke Fei; Meng Wang 001 (IEEE Trans. Cybern., 2021)

DerainCycleGAN: Rain Attentive CycleGAN for Single Image Deraining and Rainmaking. - Yanyan Wei; Zhao Zhang 001; Yang Wang 023; Mingliang Xu 001; Yi Yang 001; Shuicheng Yan; Meng Wang 001 (IEEE Trans. Image Process., 2021)

Flexible Auto-Weighted Local-Coordinate Concept Factorization: A Robust Framework for Unsupervised Clustering. - Zhao Zhang 001; Yan Zhang 053; Sheng Li 001; Guangcan Liu; Dan Zeng 001; Shuicheng Yan; Meng Wang 001 (IEEE Trans. Knowl. Data Eng., 2021)

Kernelized Multiview Subspace Analysis By Self-Weighted Learning. - Huibing Wang; Yang Wang 023; Zhao Zhang 001; Xianping Fu; Li Zhuo 001; Mingliang Xu 001; Meng Wang 001 (IEEE Trans. Multim., 2021)

Twin-Incoherent Self-Expressive Locality-Adaptive Latent Dictionary Pair Learning for Classification. - Zhao Zhang 001; Yulin Sun; Yang Wang 023; Zheng Zhang 006; Haijun Zhang 002; Guangcan Liu; Meng Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

RMoR-Aion: Robust Multioutput Regression by Simultaneously Alleviating Input and Output Noises. - Ximing Li 002; Yang Wang 023; Zhao Zhang 001; Richang Hong; Li Zhuo 001; Meng Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Deep Active Context Estimation for Automated COVID-19 Diagnosis. - Bingzhi Chen; Yishu Liu; Zheng Zhang 006; Yingjian Li; Zhao Zhang 001; Guangming Lu 002; Hongbing Yu (ACM Trans. Multim. Comput. Commun. Appl., 2021)

DLRF-Net: A Progressive Deep Latent Low-Rank Fusion Network for Hierarchical Subspace Discovery. - Zhao Zhang 001; Jiahuan Ren; Haijun Zhang 002; Zheng Zhang 006; Guangcan Liu; Shuicheng Yan (ACM Trans. Multim. Comput. Commun. Appl., 2021)

Joint Clothes Detection and Attribution Prediction via Anchor-free Framework with Decoupled Representation Transformer. - Fankai Zeng; Mingbo Zhao; Zhao Zhang 001; Shanchuan Gao; Lu Cheng 006 (CIKM, 2022)

Efficient Deep Embedded Subspace Clustering. - Jinyu Cai; Jicong Fan 001; Wenzhong Guo; Shiping Wang; Yunhe Zhang 001; Zhao Zhang 001 (CVPR, 2022)

Deep Color Consistent Network for Low-Light Image Enhancement. - Zhao Zhang 001; Huan Zheng; Richang Hong; Mingliang Xu 001; Shuicheng Yan; Meng Wang 001 (CVPR, 2022)

MIPI 2022 Challenge on Under-Display Camera Image Restoration: Methods and Results. - Ruicheng Feng; Chongyi Li; Shangchen Zhou; Wenxiu Sun; Qingpeng Zhu; Jun Jiang; Qingyu Yang; Chen Change Loy; Jinwei Gu; Yurui Zhu; Xi Wang; Xueyang Fu; et al. (ECCV Workshops (5), 2022)

Towards Feature Distribution Alignment and Diversity Enhancement for Data-Free Quantization. - Yangcheng Gao; Zhao Zhang 001; Richang Hong; Haijun Zhang 002; Jicong Fan 001; Shuicheng Yan (ICDM, 2022)

FineFormer: Fine-Grained Adaptive Object Transformer for Image Captioning. - Bo Wang 072; Zhao Zhang 001; Jicong Fan 001; Mingbo Zhao; Choujun Zhan; Mingliang Xu 001 (ICDM, 2022)

Robust Low-Rank Convolution Network for Image Denoising. - Jiahuan Ren; Zhao Zhang 001; Richang Hong; Mingliang Xu 001; Haijun Zhang 002; Mingbo Zhao; Meng Wang 001 (ACM Multimedia, 2022)

Robust Attention Deraining Network for Synchronous Rain Streaks and Raindrops Removal. - Yanyan Wei; Zhao Zhang 001; Mingliang Xu 001; Richang Hong; Jicong Fan 001; Shuicheng Yan (ACM Multimedia, 2022)

SGINet: Toward Sufficient Interaction Between Single Image Deraining and Semantic Segmentation. - Yanyan Wei; Zhao Zhang 001; Huan Zheng; Richang Hong; Yi Yang 001; Meng Wang 001 (ACM Multimedia, 2022)

FCL-GAN: A Lightweight and Real-Time Baseline for Unsupervised Blind Image Deblurring. - Suiyi Zhao; Zhao Zhang 001; Richang Hong; Mingliang Xu 001; Yi Yang 001; Meng Wang 001 (ACM Multimedia, 2022)

CRNet: Unsupervised Color Retention Network for Blind Motion Deblurring. - Suiyi Zhao; Zhao Zhang 001; Richang Hong; Mingliang Xu 001; Haijun Zhang 002; Meng Wang 001; Shuicheng Yan (ACM Multimedia, 2022)

Deep Multi-Resolution Mutual Learning for Image Inpainting. - Huan Zheng; Zhao Zhang 001; Haijun Zhang 002; Yi Yang 001; Shuicheng Yan; Meng Wang 001 (ACM Multimedia, 2022)

A Simple Approach to Automated Spectral Clustering. - Jicong Fan 001; Yiheng Tu; Zhao Zhang 001; Mingbo Zhao; Haijun Zhang 002 (NeurIPS, 2022)

ClusterQ: Semantic Feature Distribution Alignment for Data-Free Quantization. - Yangcheng Gao; Zhao Zhang 001; Richang Hong; Haijun Zhang 002; Jicong Fan 001; Shuicheng Yan; Meng Wang 001 (CoRR, 2022)

A Survey on Incomplete Multi-view Clustering. - Jie Wen 001; Zheng Zhang 006; Lunke Fei; Bob Zhang 001; Yong Xu 001; Zhao Zhang 001; Jinxing Li (CoRR, 2022)

Seeing Through The Noisy Dark: Toward Real-world Low-Light Image Enhancement and Denoising. - Jiahuan Ren; Zhao Zhang 001; Richang Hong; Mingliang Xu 001; Yi Yang 001; Shuicheng Yan (CoRR, 2022)

NoiSER: Noise is All You Need for Low-Light Image Enhancement. - Zhao Zhang 001; Suiyi Zhao; Xiaojie Jin; Mingliang Xu 001; Yi Yang 001; Shuicheng Yan (CoRR, 2022)

Long-Range Zero-Shot Generative Deep Network Quantization. - Yan Luo 004; Yangcheng Gao; Zhao Zhang 001; Haijun Zhang 002; Mingliang Xu 001; Meng Wang 001 (CoRR, 2022)

Stereo Image Rain Removal via Dual-View Mutual Attention. - Yanyan Wei; Zhao Zhang 001; Zhongqiu Zhao; Yang Zhao 002; Richang Hong; Yi Yang 001 (CoRR, 2022)

Editorial: Deep dictionary learning: Algorithm, theory and application. - Zhao Zhang 001; Meng Wang 001; Sheng Li 001; Zheng Zhang 006 (Neurocomputing, 2022)

Joint clothes image detection and search via anchor free framework. - Mingbo Zhao; Shanchuan Gao; Jianghong Ma; Zhao Zhang 001 (Neural Networks, 2022)

Multiview Learning With Robust Double-Sided Twin SVM. - Qiaolin Ye; Peng Huang; Zhao Zhang 001; Yuhui Zheng; Liyong Fu; Wankou Yang (IEEE Trans. Cybern., 2022)

NTIRE 2023 HR NonHomogeneous Dehazing Challenge Report. - Codruta O. Ancuti; Cosmin Ancuti; Florin-Alexandru Vasluianu; Radu Timofte; Han Zhou 003; Wei Dong 010; Yangyi Liu; Jun Chen 005; Huan Liu 014; Liangyan Li; Zijun Wu; Yubo Dong; et al. (CVPR Workshops, 2023)

MIPI 2023 Challenge on Nighttime Flare Removal: Methods and Results. - Yuekun Dai; Chongyi Li; Shangchen Zhou; Ruicheng Feng; Qingpeng Zhu; Qianhui Sun 002; Wenxiu Sun; Chen Change Loy; Jinwei Gu; Shuai Liu 009; Hao Wang 073; Chaoyu Feng; et al. (CVPR Workshops, 2023)

NTIRE 2023 Video Colorization Challenge. - Xiaoyang Kang 002; Xianhui Lin; Kai Zhang 008; Zheng Hui; Wangmeng Xiang; Jun-Yan He; Xiaoming Li 002; Peiran Ren; Xuansong Xie; Radu Timofte; Yixin Yang; Jinshan Pan; et al. (CVPR Workshops, 2023)

NTIRE 2023 Challenge on Image Denoising: Methods and Results. - Yawei Li 001; Yulun Zhang 001; Radu Timofte; Luc Van Gool; Zhijun Tu; Kunpeng Du; Hailing Wang; Hanting Chen; Wei Li 002; Xiaofei Wang; Jie Hu 021; Yunhe Wang 001; et al. (CVPR Workshops, 2023)

NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results. - Yawei Li 001; Yulun Zhang 001; Radu Timofte; Luc Van Gool; Lei Yu; Youwei Li; Xinpeng Li 002; Ting Jiang; Qi Wu 017; Mingyan Han; Wenjie Lin; Chengzhi Jiang; et al. (CVPR Workshops, 2023)

NTIRE 2023 Image Shadow Removal Challenge Report. - Florin-Alexandru Vasluianu; Tim Seizinger; Radu Timofte; Shuhao Cui; Junshi Huang; Shuman Tian; Mingyuan Fan 002; Jiaqi Zhang; Li Zhu 003; Xiaoming Wei; Xiaolin Wei; Ziwei Luo; et al. (CVPR Workshops, 2023)

NTIRE 2023 Challenge on Stereo Image Super-Resolution: Methods and Results. - Longguang Wang; Yulan Guo; Yingqian Wang 002; Juncheng Li 003; Shuhang Gu; Radu Timofte; Ming Cheng 002; Haoyu Ma; Qiufang Ma; Xiaopeng Sun; Shijie Zhao 001; Xuhan Sheng; et al. (CVPR Workshops, 2023)

NTIRE 2023 Challenge on Image Super-Resolution (×4): Methods and Results. - Yulun Zhang 001; Kai Zhang 008; Zheng Chen 014; Yawei Li 001; Radu Timofte; Junpei Zhang; Kexin Zhang 003; Rui Peng; Yanbiao Ma; Licheng Jia; Huaibo Huang; Xiaoqiang Zhou; et al. (CVPR Workshops, 2023)

Hierarchical Context Modeling Network for Landmark Recognition. - Xing Bao; Huan Zheng; Zhao Zhang 001; Zhengjun Zha; Meng Wang 001 (ICDM, 2023)

Feature Aggregating Network with Inter-Frame Interaction for Efficient Video Super-Resolution. - Yawei Li 004; Zhao Zhang 001; Suiyi Zhao; Jicong Fan 001; Haijun Zhang 002; Mingliang Xu 001 (ICDM, 2023)

Adaptive Student Inference Network for Efficient Single Image Super-Resolution. - Kang Miao; Zhao Zhang 001; Jiahuan Ren; Mingbo Zhao; Haijun Zhang 002; Richang Hong (ICDM, 2023)

Arbitrary Virtual Try-on Network: Characteristics Representation and Trade-off between Body and Clothing. - Yu Liu 030; Mingbo Zhao; Zhao Zhang 001; Jicong Fan 001; Yang Lou; Shuicheng Yan (ICLR, 2023)

Hierarchical Graph Neural Network for Human Pose Estimation. - Guanghua Zheng; Zhongqiu Zhao; Zhao Zhang 001; Yi Yang 036 (ICME, 2023)

Dynamic Grouped Interaction Network for Low-Light Stereo Image Enhancement. - Baiang Li; Huan Zheng; Zhao Zhang 001; Yang Zhao 002; Zhongqiu Zhao; Haijun Zhang 002 (ACM Multimedia, 2023)

Cross-view Resolution and Frame Rate Joint Enhancement for Binocular Video. - Panda Pan; Yang Zhao 002; Yuan Chen 012; Wei Jia 001; Zhao Zhang 001; Ronggang Wang (ACM Multimedia, 2023)

Mutual Information-driven Triple Interaction Network for Efficient Image Dehazing. - Hao Shen 006; Zhong-Qiu Zhao; Yulun Zhang 001; Zhao Zhang 001 (ACM Multimedia, 2023)

Toward Intelligent Interactive Design: A Generation Framework Based on Cross-domain Fashion Elements. - Jianyang Shi; Haijun Zhang 002; Dongliang Zhou; Zhao Zhang 001 (ACM Multimedia, 2023)

CropCap: Embedding Visual Cross-Partition Dependency for Image Captioning. - Bo Wang 072; Zhao Zhang 001; Suiyi Zhao; Haijun Zhang 002; Richang Hong; Meng Wang 001 (ACM Multimedia, 2023)

FashionDiff: A Controllable Diffusion Model Using Pairwise Fashion Elements for Intelligent Design. - Han Yan; Haijun Zhang 002; Xiangyu Mu; Jicong Fan 001; Zhao Zhang 001 (ACM Multimedia, 2023)

InspirNET: An Unsupervised Generative Adversarial Network with Controllable Fine-grained Texture Disentanglement for Fashion Generation. - Han Yan; Haijun Zhang 002; Jie Hou; Jicong Fan 001; Zhao Zhang 001 (ACM Multimedia, 2023)

Decoupled Cross-Scale Cross-View Interaction for Stereo Image Enhancement in the Dark. - Huan Zheng; Zhao Zhang 001; Jicong Fan 001; Richang Hong; Yi Yang 001; Shuicheng Yan (ACM Multimedia, 2023)

FCBoost-Net: A Generative Network for Synthesizing Multiple Collocated Outfits via Fashion Compatibility Boosting. - Dongliang Zhou; Haijun Zhang 002; Jianghong Ma; Jicong Fan 001; Zhao Zhang 001 (ACM Multimedia, 2023)

Virtual Device Farms for Mobile App Testing at Scale: A Pursuit for Fidelity, Efficiency, and Accessibility. - Hao Lin 005; Jiaxing Qiu; Hongyi Wang 009; Zhenhua Li 001; Liangyi Gong; Di Gao; Yunhao Liu 001; Feng Qian 001; Zhao Zhang 001; Ping Yang; Tianyin Xu (MobiCom, 2023)

Physical-Property Guided End-to-End Interactive Image Dehazing Network. - Junhu Wang; Suiyi Zhao; Zhao Zhang 001; Yang Zhao 002; Haijun Zhang 002 (NCAA (2), 2023)

Graph Convolutional Kernel Machine versus Graph Convolutional Networks. - Zhihao Wu 002; Zhao Zhang 001; Jicong Fan 001 (NeurIPS, 2023)

IDVT: Interest-aware Denoising and View-guided Tuning for Social Recommendation. - Dezhao Yang; Jianghong Ma; Shanshan Feng 001; Haijun Zhang 002; Zhao Zhang 001 (CoRR, 2023)

Clarity ChatGPT: An Interactive and Adaptive Processing System for Image Restoration and Enhancement. - Yanyan Wei; Zhao Zhang 001; Jiahuan Ren; Xiaogang Xu 002; Richang Hong; Yi Yang 001; Shuicheng Yan; Meng Wang 001 (CoRR, 2023)

All in One: RGB, RGB-D, and RGB-T Salient Object Detection. - Xingzhao Jia; Zhongqiu Zhao; Changlei Dongye; Zhao Zhang 001 (CoRR, 2023)

Nonlinear Expectation Inference for Direct Uncertainty Quantification of Nonlinear Inverse Problems. - Zhao Zhang 001; Xinpeng Li 002 (CoRR, 2023)

Fast data-free model compression via dictionary-pair reconstruction. - Yangcheng Gao; Zhao Zhang 001; Haijun Zhang 002; Mingbo Zhao; Yi Yang 001; Meng Wang 001 (Knowl. Inf. Syst., 2023)

Euclidean-Norm-Induced Schatten-p Quasi-Norm Regularization for Low-Rank Tensor Completion and Tensor Robust Principal Component Analysis. - Jicong Fan 001; Lijun Ding; Chengrun Yang; Zhao Zhang 001; Madeleine Udell (Trans. Mach. Learn. Res., 2023)

Visual-Semantic Aligned Bidirectional Network for Zero-Shot Learning. - Rui Gao; Xingsong Hou; Jie Qin; Yuming Shen; Yang Long 001; Li Liu 004; Zhao Zhang 001; Ling Shao 001 (IEEE Trans. Multim., 2023)

Toward Intelligent Design: An AI-Based Fashion Designer Using Generative Adversarial Networks Aided by Sketch and Rendering Generators. - Han Yan; Haijun Zhang 002; Linlin Liu; Dongliang Zhou; Xiaofei Xu; Zhao Zhang 001; Shuicheng Yan (IEEE Trans. Multim., 2023)

A Survey on Incomplete Multiview Clustering. - Jie Wen 001; Zheng Zhang 006; Lunke Fei; Bob Zhang 001; Yong Xu 001; Zhao Zhang 001; Jinxing Li (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Robust and fast low-rank deep convolutional feature recovery: toward information retention and accelerated convergence. - Jiahuan Ren; Zhao Zhang 001; Jicong Fan 001; Haijun Zhang 002; Mingliang Xu 001; Meng Wang 001 (Knowl. Inf. Syst., 2023)

Fine-grained multi-view clustering with robust multi-prototypes representation. - Hongwei Yin; Guixiang Wang; Wenjun Hu; Zhao Zhang 001 (Appl. Intell., 2023)

Motion Stimulation for Compositional Action Recognition. - Lei Ma; Yuhui Zheng; Zhao Zhang 001; Yazhou Yao; Xijian Fan; Qiaolin Ye (IEEE Trans. Circuits Syst. Video Technol., 2023)

Special issue on neural computing and applications 2020. - Mingbo Zhao; Zhou Wu 001; Zhao Zhang 001; Tianyong Hao; Zhiwei Meng; Reza Malekian (Neural Comput. Appl., 2023)

Long-range zero-shot generative deep network quantization. - Yan Luo 004; Yangcheng Gao; Zhao Zhang 001; Jicong Fan 001; Haijun Zhang 002; Mingliang Xu 001 (Neural Networks, 2023)

Data-Driven single image deraining: A Comprehensive review and new perspectives. - Zhao Zhang 001; Yanyan Wei; Haijun Zhang 002; Yi Yang 001; Shuicheng Yan; Meng Wang 001 (Pattern Recognit., 2023)

Stereo Vision Conversion from Planar Videos Based on Temporal Multiplane Images. - Shanding Diao; Yuan Chen 012; Yang Zhao 002; Wei Jia 001; Zhao Zhang 001; Ronggang Wang (AAAI, 2024)

Dense Projection for Anomaly Detection. - Dazhi Fu; Zhao Zhang 001; Jicong Fan 001 (AAAI, 2024)

NTIRE 2024 Dense and Non-Homogeneous Dehazing Challenge Report. - Codruta O. Ancuti; Cosmin Ancuti; Florin-Alexandru Vasluianu; Radu Timofte; Yidi Liu; Xingbo Wang; Yurui Zhu; Gege Shi; Xin Lu 006; Xueyang Fu; Zheng-Jun Zha; Wei Dong 010; et al. (CVPR Workshops, 2024)

NTIRE 2024 Challenge on Image Super-Resolution (×4): Methods and Results. - Zheng Chen 014; Zongwei Wu; Eduard Zamfir; Kai Zhang 008; Yulun Zhang 001; Radu Timofte; Xiaokang Yang 001; Hongyuan Yu; Cheng Wan 006; Yuxin Hong; Zhijuan Huang; Yajun Zou; et al. (CVPR Workshops, 2024)

NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results. - Xiaoning Liu 003; Zongwei Wu; Ao Li 007; Florin-Alexandru Vasluianu; Yulun Zhang 001; Shuhang Gu; Le Zhang 001; Ce Zhu; Radu Timofte; Zhi Jin; Hongjun Wu; Chenxi Wang; et al. (CVPR Workshops, 2024)

The Ninth NTIRE 2024 Efficient Super-Resolution Challenge Report. - Bin Ren; Yawei Li 001; Nancy Mehta; Radu Timofte; Hongyuan Yu; Cheng Wan; Yuxin Hong; Bingnan Han; Zhuoyuan Wu; Yajun Zou; Yuqing Liu; Jizhe Li; et al. (CVPR Workshops, 2024)

NTIRE 2024 Image Shadow Removal Challenge Report. - Florin-Alexandru Vasluianu; Tim Seizinger; Zhuyun Zhou; Zongwei Wu; Cailian Chen; Radu Timofte; Wei Dong; Han Zhou; Yuqiong Tian; Jun Chen; Xueyang Fu; Xin Lu 006; et al. (CVPR Workshops, 2024)

DRGame: Diversified Recommendation for Multi-category Video Games with Balanced Implicit Preferences. - Kangzhe Liu; Jianghong Ma; Shanshan Feng 001; Haijun Zhang 002; Zhao Zhang 001 (DASFAA (7), 2024)

Emotional Synchronization for Audio-Driven Talking-Head Generation. - Zhao Zhang 001; Yan Luo 004; Zhichao Zuo; Richang Hong; Yi Yang 001; Meng Wang 001 (ICDM, 2024)

High-Fidelity Diffusion Editor for Zero-Shot Text-Guided Video Editing. - Yan Luo 004; Zhichao Zuo; Zhao Zhang 001; Zhongqiu Zhao; Haijun Zhang 002; Richang Hong (ICDM, 2024)

Dual Cross-Stage Partial Learning for Detecting Objects in Dehazed Images. - Jinbiao Zhao 001; Zhao Zhang 001; Jiahuan Ren; Haijun Zhang 002; Zhongqiu Zhao; Meng Wang 001 (ICDM, 2024)

Neuron-Enhanced AutoEncoder Matrix Completion and Collaborative Filtering: Theory and Practice. - Jicong Fan 001; Rui Chen; Zhao Zhang 001; Chris Ding (ICLR, 2024)

OSIC: A New One-Stage Image Captioner Coined. - Bo Wang 072; Zhao Zhang 001; Mingbo Zhao; Xiaojie Jin; Mingliang Xu 001; Meng Wang 001 (IJCAI, 2024)

Blind Video Bit-Depth Expansion. - Panjun Duan; Yang Zhao 002; Yuan Chen 012; Wei Jia 001; Zhao Zhang 001; Ronggang Wang (ACM Multimedia, 2024)

Audio-Infused Automatic Image Colorization by Exploiting Audio Scene Semantics. - Pengcheng Zhao; Yanxiang Chen; Yang Zhao 002; Wei Jia 001; Zhao Zhang 001; Ronggang Wang; Richang Hong (CoRR, 2024)

Diving Deep into Regions: Exploiting Regional Information Transformer for Single Image Deraining. - Baiang Li; Zhao Zhang 001; Huan Zheng; Xiaogang Xu 002; Yanyan Wei; Jingyi Zhang; Jicong Fan 001; Meng Wang 001 (CoRR, 2024)

GT-Rain Single Image Deraining Challenge Report. - Howard Zhang; Yunhao Ba; Ethan Yang; Rishi Upadhyay; Alex Wong 001; Achuta Kadambi; Yun Guo; Xueyao Xiao; Xiaoxiong Wang; Yi Li 033; Yi Chang 002; Luxin Yan; et al. (CoRR, 2024)

NTIRE 2024 Challenge on Image Super-Resolution (⨉4): Methods and Results. - Zheng Chen 014; Zongwei Wu; Eduard Zamfir; Kai Zhang 008; Yulun Zhang 001; Radu Timofte; Xiaokang Yang 001; Hongyuan Yu; Cheng Wan 006; Yuxin Hong; Zhijuan Huang; Yajun Zou; et al. (CoRR, 2024)

The Ninth NTIRE 2024 Efficient Super-Resolution Challenge Report. - Bin Ren; Yawei Li 001; Nancy Mehta; Radu Timofte; Hongyuan Yu; Cheng Wan 006; Yuxin Hong; Bingnan Han; Zhuoyuan Wu; Yajun Zou; Yuqing Liu; Jizhe Li; et al. (CoRR, 2024)

NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results. - Xiaoning Liu 003; Zongwei Wu; Ao Li 007; Florin-Alexandru Vasluianu; Yulun Zhang 001; Shuhang Gu; Le Zhang 001; Ce Zhu; Radu Timofte; Zhi Jin; Hongjun Wu; Chenxi Wang; et al. (CoRR, 2024)

MIPI 2024 Challenge on Nighttime Flare Removal: Methods and Results. - Yuekun Dai; Dafeng Zhang; Xiaoming Li 002; Zongsheng Yue; Chongyi Li; Shangchen Zhou; Ruicheng Feng; Peiqing Yang 001; Zhezhu Jin; Guanqun Liu 005; Chen Change Loy; Lize Zhang; et al. (CoRR, 2024)

Cross-Domain Knowledge Distillation for Low-Resolution Human Pose Estimation. - Zejun Gu; Zhong-Qiu Zhao; Henghui Ding; Hao Shen 006; Zhao Zhang 001; De-Shuang Huang (CoRR, 2024)

Focus on Low-Resolution Information: Multi-Granular Information-Lossless Model for Low-Resolution Human Pose Estimation. - Zejun Gu; Zhong-Qiu Zhao; Hao Shen 006; Zhao Zhang 001 (CoRR, 2024)

A Two-Stage Adverse Weather Semantic Segmentation Method for WeatherProof Challenge CVPR 2024 Workshop UG2+. - Jianzhao Wang; Yanyan Wei; Dehua Hu; Yilin Zhang; Shengeng Tang; Dan Guo 001; Zhao Zhang 001 (CoRR, 2024)

Sagiri: Low Dynamic Range Image Enhancement with Generative Diffusion Prior. - Baiang Li; Sizhuo Ma; Yanhong Zeng; Xiaogang Xu 002; Youqing Fang; Zhao Zhang 001; Jian Wang 111; Kai Chen 026 (CoRR, 2024)

Lightweight Multiplane Images Network for Real-Time Stereoscopic Conversion from Planar Video. - Shanding Diao; Yang Zhao 002; Yuan Chen 012; Zhao Zhang 001; Wei Jia 001; Ronggang Wang (CoRR, 2024)

Federated continual representation learning for evolutionary distributed intrusion detection in Industrial Internet of Things. - Zhao Zhang 001; Yong Zhang; Hao Li 058; Shenbo Liu; Wei Chen; Zhigang Zhang; Lijun Tang (Eng. Appl. Artif. Intell., 2024)

Adversarial capsule autoencoder with style vectors for image generation. - Xiufeng Liu; Yi Yang 001; Zhongqiu Zhao; Zhao Zhang 001 (J. Electronic Imaging, 2024)

Toward Individual Tone Preference in Underwater Image Enhancement. - Xu Liu; Yang Zhao 002; Kaichen Chi; Zhao Zhang 001; Yanxiang Chen; Wei Jia 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Progressive Stereo Image Dehazing Network via Cross-View Region Interaction. - Junhu Wang; Yanyan Wei; Zhao Zhang 001; Jicong Fan 001; Yang Zhao 002; Yi Yang 001; Meng Wang 001 (IEEE Trans. Multim., 2024)

Learning to Disentangle the Colors, Textures, and Shapes of Fashion Items: A Unified Framework. - Han Yan; Haijun Zhang 002; Zhao Zhang 001 (IEEE Trans. Multim., 2024)

Collocated Clothing Synthesis with GANs Aided by Textual Information: A Multi-Modal Framework. - Linlin Liu; Haijun Zhang 002; Qun Li 011; Jianghong Ma; Zhao Zhang 001 (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Multi-Scale Interaction Network for Low-Light Stereo Image Enhancement. - Zhicheng Ji; Huan Zheng; Zhao Zhang 001; Qiaolin Ye; Yang Zhao 002; Mingliang Xu 001 (IEEE Trans. Consumer Electron., 2024)

FRC-Net: A Simple Yet Effective Architecture for Low-Light Image Enhancement. - Zhao Zhang 001; Huan Zheng; Richang Hong; Jicong Fan 001; Yi Yang 001; Shuicheng Yan (IEEE Trans. Consumer Electron., 2024)

Discriminative Regression With Adaptive Graph Diffusion. - Jie Wen 001; Shijie Deng; Lunke Fei; Zheng Zhang 006; Bob Zhang 001; Zhao Zhang 001; Yong Xu 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Take the Blue Pill: Pursuing Mobile App Testing Fidelity, Efficiency, and Accessibility with Virtual Device Farms. - Hao Lin 005; Jiaxing Qiu; Hongyi Wang 009; Zhenhua Li 001; Liangyi Gong; Di Gao; Yunhao Liu 001; Feng Qian 001; Zhao Zhang 001; Ping Yang; Tianyin Xu (GetMobile Mob. Comput. Commun., 2024)

Global routing between capsules. - Ran Chen; Hao Shen 006; Zhong-Qiu Zhao; Yi Yang 036; Zhao Zhang 001 (Pattern Recognit., 2024)

Learning to Synthesize Compatible Fashion Items Using Semantic Alignment and Collocation Classification: An Outfit Generation Framework. - Dongliang Zhou; Haijun Zhang 002; Kai Yang 018; Linlin Liu; Han Yan; Xiaofei Xu; Zhao Zhang 001; Shuicheng Yan (IEEE Trans. Neural Networks Learn. Syst., 2024)

Arbitrary Virtual Try-on Network: Characteristics Preservation and Tradeoff between Body and Clothing. - Yu Liu 030; Mingbo Zhao; Zhao Zhang 001; Yuping Liu; Shuicheng Yan (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Regional Traditional Painting Generation Based on Controllable Disentanglement Model. - Yang Zhao 002; Huaen Li; Zhao Zhang 001; Yuan Chen 012; Qing Liu 022; Xiaojuan Zhang (IEEE Trans. Circuits Syst. Video Technol., 2024)

FashionTailor: Controllable Clothing Editing for Human Images with Appearance Preserving. - Jie Hou; Jianghong Ma; Xiangyu Mu; Haijun Zhang 002; Zhao Zhang 001 (AAAI, 2025)

FakeDiffer: Distributional Disparity Learning on Differentiated Reconstruction for Face Forgery Detection. - Bo Wang 072; Zhao Zhang 001; Suiyi Zhao; Xianming Ye; Haijun Zhang 002; Meng Wang 001 (AAAI, 2025)

Quantized Image Super-Resolution on Mobile NPUs, Mobile AI 2025 Challenge: Report. - Andrey Ignatov; Georgy Perevozchikov; Radu Timofte; Zhiyu Zhang; Tianxiao Gao; Yukun Yang; Shiai Zhu; Shihao Wang; Kihwan Yoon; Ganzorig Gankhuyag; Hyeon-Cheol Moon; Taehyun Jeong; et al. (CVPR Workshops, 2025)

NTIRE 2025 Challenge on Low Light Image Enhancement: Methods and Results. - Xiaoning Liu 003; Zongwei Wu; Florin-Alexandru Vasluianu; Hailong Yan; Bin Ren; Yulun Zhang 001; Shuhang Gu; Le Zhang 001; Ce Zhu; Radu Timofte; Kangbiao Shi; Yixu Feng; et al. (CVPR Workshops, 2025)

NTIRE 2025 Image Shadow Removal Challenge Report. - Florin-Alexandru Vasluianu; Tim Seizinger; Zhuyun Zhou; Cailan Chen; Zongwei Wu; Radu Timofte; Mingjia Li 001; Jin Hu; Hainuo Wang; Hengxing Liu; Jiarui Wang; Qiming Hu; et al. (CVPR Workshops, 2025)

NTIRE 2025 Ambient Lighting Normalization Challenge Report. - Florin-Alexandru Vasluianu; Tim Seizinger; Zhuyun Zhou; Zongwei Wu; Radu Timofte; Yuanfei Bao; Xingbo Wang; Xin Lu 006; Jiarong Yang; Anya Hu; Kunyu Wang; Jie Xiao 002; et al. (CVPR Workshops, 2025)

High-Fidelity Stereoscopic Image Rain Removal with Texture Integrity and Disparity Consistency. - Yanyan Wei; Zhao Zhang 001; Zhong-Qiu Zhao; Yang Zhao 002; Richang Hong; Yi Yang 001; Meng Wang 001 (ICASSP, 2025)

Parameter Disentanglement for Diverse Representations. - Jingxu Wang; Jingda Guo; Ruili Wang; Zhao Zhang 001; Liyong Fu; Qiaolin Ye (Big Data Min. Anal., 2025)

Implicit-based collision-aware clothed human reconstruction from a single image. - Yuxin Liu; Guiqing Li; Yongwei Nie; Feiran Yu; Ping Li 016; Tonglai Liu; Zhao Zhang 001 (Comput. Graph., 2025)

Leveraging vision-language prompts for real-world image restoration and enhancement. - Yanyan Wei; Yilin Zhang; Kun Li 008; Fei Wang 067; Shengeng Tang; Zhao Zhang 001 (Comput. Vis. Image Underst., 2025)

Research on ZYNQ neural network acceleration method for aluminum surface microdefects. - Dongxue Zhao; Shenbo Liu; Zhigang Zhang; Zhao Zhang 001; Lijun Tang (Digit. Signal Process., 2025)

Wp-VTON: A wrinkle-preserving virtual try-on network via clothing texture book. - Xiangyu Mu; Haijun Zhang 002; Jianghong Ma; Zhao Zhang 001; Lin Jiang; Xiao Chen; Feng Jiang (Neural Networks, 2025)

When low-light meets flares: Towards Synchronous Flare Removal and Brightness Enhancement. - Jiahuan Ren; Zhao Zhang 001; Suiyi Zhao; Jicong Fan 001; Zhongqiu Zhao; Yang Zhao 002; Richang Hong; Meng Wang 001 (Neural Networks, 2025)

Cut-and-Paste: Subject-driven video editing with attention control. - Zhichao Zuo; Zhao Zhang 001; Yan Luo 004; Yang Zhao 002; Haijun Zhang 002; Yi Yang 001; Meng Wang 001 (Neural Networks, 2025)

SeaCap: Multi-Sight Embedding and Alignment for One-Stage Image Captioner. - Bo Wang 072; Zhao Zhang 001; Mingbo Zhao; Xiaojie Jin; Mingliang Xu 001; Meng Wang 001 (IEEE Trans. Multim., 2025)

Noise Self-Regression: A New Learning Paradigm to Enhance Low-Light Images Without Task-Related Data. - Zhao Zhang 001; Suiyi Zhao; Xiaojie Jin; Mingliang Xu 001; Yi Yang 001; Shuicheng Yan; Meng Wang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Contrastive Learning Guided Latent Diffusion Model for Image-to-Image Translation. - Qi Si; Bo Wang 072; Zhao Zhang 001 (CoRR, 2025)

Ensemble Prototype Network For Weakly Supervised Temporal Action Localization. - Kewei Wu; Wenjie Luo; Zhao Xie; Dan Guo 001; Zhao Zhang 001; Richang Hong (IEEE Trans. Neural Networks Learn. Syst., 2025)

RAW Image Reconstruction from RGB on Smartphones. NTIRE 2025 Challenge Report. - Marcos V. Conde; Radu Timofte; Radu Berdan; Beril Besbinar; Daisuke Iso; Pengzhou Ji; Xiong Dun; Zeying Fan; Chen Wu; Zhansheng Wang; Pengbo Zhang; Jiazi Huang; et al. (CoRR, 2025)

NTIRE 2025 Image Shadow Removal Challenge Report. - Florin-Alexandru Vasluianu; Tim Seizinger; Zhuyun Zhou; Cailian Chen; Zongwei Wu; Radu Timofte; Mingjia Li 001; Jin Hu; Hainuo Wang; Hengxing Liu; Jiarui Wang; Qiming Hu; et al. (CoRR, 2025)

SelectQ: Calibration Data Selection for Post-training Quantization. - Zhao Zhang 001; Yangcheng Gao; Jicong Fan 001; Zhongqiu Zhao; Yi Yang 001; Shuicheng Yan (Mach. Intell. Res., 2025)

Robust Multiple Flat Projections Clustering With Truncated Distance Maximization Constraints. - Jie Yang; Zhao Zhang 001; Xiaobo Chen 001; Zhongqi Xu; Liyong Fu; Qiaolin Ye (IEEE Trans. Cybern., 2025)