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2020 – today
- 2022
[j47]Shuyin Xia
, Daowan Peng, Deyu Meng, Changqing Zhang, Guoyin Wang, Elisabeth Giem, Wei Wei, Zizhong Chen:
Ball $k$k-Means: Fast Adaptive Clustering With No Bounds. IEEE Trans. Pattern Anal. Mach. Intell. 44(1): 87-99 (2022)- [j46]Changqing Zhang, Yajie Cui, Zongbo Han, Joey Tianyi Zhou, Huazhu Fu, Qinghua Hu:
Deep Partial Multi-View Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(5): 2402-2415 (2022) - [i17]Yu Geng, Zongbo Han, Changqing Zhang, Qinghua Hu:
Uncertainty-Aware Multi-View Representation Learning. CoRR abs/2201.05776 (2022) - [i16]Zongbo Han, Changqing Zhang, Huazhu Fu, Joey Tianyi Zhou:
Trusted Multi-View Classification with Dynamic Evidential Fusion. CoRR abs/2204.11423 (2022) - 2021
- [j45]Haijuan Fu, Yu Geng, Changqing Zhang, Zechao Li, Qinghua Hu:
RED-Nets: Redistribution Networks for Multi-View Classification. Inf. Fusion 65: 119-127 (2021) - [j44]Yanbei Liu, Lianxi Fan, Changqing Zhang, Tao Zhou, Zhitao Xiao, Lei Geng, Dinggang Shen:
Incomplete multi-modal representation learning for Alzheimer's disease diagnosis. Medical Image Anal. 69: 101953 (2021) - [j43]Zhenyu Huang, Joey Tianyi Zhou, Hongyuan Zhu, Changqing Zhang, Jiancheng Lv, Xi Peng:
Deep Spectral Representation Learning From Multi-View Data. IEEE Trans. Image Process. 30: 5352-5362 (2021) - [c56]Yu Geng, Zongbo Han, Changqing Zhang, Qinghua Hu:
Uncertainty-Aware Multi-View Representation Learning. AAAI 2021: 7545-7553 - [c55]Zhibin Wan, Changqing Zhang, Pengfei Zhu, Qinghua Hu:
Multi-View Information-Bottleneck Representation Learning. AAAI 2021: 10085-10092 - [c54]Zongbo Han, Changqing Zhang, Huazhu Fu, Joey Tianyi Zhou:
Trusted Multi-View Classification. ICLR 2021 - [c53]Zhibin Wan, Changqing Zhang, Yu Geng, Huazhu Fu, Xi Peng, Pengfei Zhu, Qinghua Hu:
Cross-View Equivariant Auto-Encoder. ICME 2021: 1-6 - [c52]Huan Ma, Zongbo Han, Changqing Zhang, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu:
Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions. NeurIPS 2021: 6881-6893 - [i15]Zongbo Han, Changqing Zhang, Huazhu Fu, Joey Tianyi Zhou:
Trusted Multi-View Classification. CoRR abs/2102.02051 (2021) - [i14]Bolian Li, Zige Zheng, Changqing Zhang:
Identifying Incorrect Classifications with Balanced Uncertainty. CoRR abs/2110.08030 (2021) - [i13]Huan Ma, Zongbo Han, Changqing Zhang, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu:
Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions. CoRR abs/2111.08456 (2021) - [i12]Bolian Li, Zongbo Han, Haining Li, Huazhu Fu, Changqing Zhang:
Trustworthy Long-Tailed Classification. CoRR abs/2111.09030 (2021) - 2020
- [j42]Changqing Zhang, Huazhu Fu, Jing Wang, Wen Li, Xiaochun Cao, Qinghua Hu:
Tensorized Multi-view Subspace Representation Learning. Int. J. Comput. Vis. 128(8): 2344-2361 (2020) - [j41]Changqing Zhang, Zhanwen Liu, Zhi-gang Xu:
Fitting the power spectrum of stationary random sequence. Int. J. Inf. Technol. Manag. 19(2/3): 118-125 (2020) - [j40]Tao Zhou, Kim-Han Thung, Mingxia Liu, Feng Shi, Changqing Zhang, Dinggang Shen:
Multi-modal latent space inducing ensemble SVM classifier for early dementia diagnosis with neuroimaging data. Medical Image Anal. 60 (2020) - [j39]Changqing Zhang, Huazhu Fu, Qinghua Hu, Xiaochun Cao, Yuan Xie, Dacheng Tao, Dong Xu:
Generalized Latent Multi-View Subspace Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 42(1): 86-99 (2020) - [j38]Bo Peng, Jianjun Lei, Huazhu Fu, Changqing Zhang, Tat-Seng Chua, Xuelong Li:
Unsupervised Video Action Clustering via Motion-Scene Interaction Constraint. IEEE Trans. Circuits Syst. Video Technol. 30(1): 131-144 (2020) - [j37]Tao Zhou, Changqing Zhang, Chen Gong, Harish Bhaskar, Jie Yang:
Multiview Latent Space Learning With Feature Redundancy Minimization. IEEE Trans. Cybern. 50(4): 1655-1668 (2020) - [j36]Changqing Zhang, Ziwei Yu, Huazhu Fu, Pengfei Zhu, Lei Chen, Qinghua Hu:
Hybrid Noise-Oriented Multilabel Learning. IEEE Trans. Cybern. 50(6): 2837-2850 (2020) - [j35]Tao Zhou, Changqing Zhang, Xi Peng, Harish Bhaskar, Jie Yang:
Dual Shared-Specific Multiview Subspace Clustering. IEEE Trans. Cybern. 50(8): 3517-3530 (2020) - [j34]Hengyuan Kang, Liming Xia, Fuhua Yan, Zhibin Wan, Feng Shi, Huan Yuan, Huiting Jiang, Dijia Wu, He Sui, Changqing Zhang, Dinggang Shen:
Diagnosis of Coronavirus Disease 2019 (COVID-19) With Structured Latent Multi-View Representation Learning. IEEE Trans. Medical Imaging 39(8): 2606-2614 (2020) - [c51]Junbing Li, Changqing Zhang, Pengfei Zhu, Baoyuan Wu, Lei Chen, Qinghua Hu:
SPL-MLL: Selecting Predictable Landmarks for Multi-label Learning. ECCV (9) 2020: 783-799 - [c50]Junbing Li, Changqing Zhang, Xueman Wang, Ling Du:
Multi-Scale Cross-Modal Spatial Attention Fusion for Multi-label Image Recognition. ICANN (1) 2020: 736-747 - [c49]Pengfei Zhu, Mingqi Gu, Wenbin Li, Changqing Zhang, Qinghua Hu:
Progressive Point To Set Metric Learning For Semi-Supervised Few-Shot Classification. ICIP 2020: 196-200 - [c48]Tianyu Zhao, Changqing Zhang:
SAAN: Semantic Attention Adaptation Network for Face Super-Resolution. ICME 2020: 1-6 - [c47]Tao Zhou, Huazhu Fu, Yu Zhang, Changqing Zhang, Xiankai Lu, Jianbing Shen, Ling Shao:
M2 Net: Multi-modal Multi-channel Network for Overall Survival Time Prediction of Brain Tumor Patients. MICCAI (2) 2020: 221-231 - [i11]Shuyin Xia, Daowan Peng, Deyu Meng, Changqing Zhang, Guoyin Wang, Zizhong Chen, Wei Wei:
Ball k-means. CoRR abs/2005.00784 (2020) - [i10]Hengyuan Kang, Liming Xia, Fuhua Yan, Zhibin Wan, Feng Shi, Huan Yuan, Huiting Jiang, Dijia Wu, He Sui, Changqing Zhang, Dinggang Shen:
Diagnosis of Coronavirus Disease 2019 (COVID-19) with Structured Latent Multi-View Representation Learning. CoRR abs/2005.03227 (2020) - [i9]Tao Zhou, Huazhu Fu, Yu Zhang, Changqing Zhang, Xiankai Lu, Jianbing Shen, Ling Shao:
M2Net: Multi-modal Multi-channel Network for Overall Survival Time Prediction of Brain Tumor Patients. CoRR abs/2006.10135 (2020) - [i8]Junbing Li, Changqing Zhang, Pengfei Zhu, Baoyuan Wu, Lei Chen, Qinghua Hu:
SPL-MLL: Selecting Predictable Landmarks for Multi-Label Learning. CoRR abs/2008.06883 (2020) - [i7]Shuyin Xia, Wenhua Li, Guoyin Wang, Xinbo Gao, Changqing Zhang, Elisabeth Giem:
LRA: an accelerated rough set framework based on local redundancy of attribute for feature selection. CoRR abs/2011.00215 (2020) - [i6]Changqing Zhang, Yajie Cui, Zongbo Han, Joey Tianyi Zhou, Huazhu Fu, Qinghua Hu:
Deep Partial Multi-View Learning. CoRR abs/2011.06170 (2020)
2010 – 2019
- 2019
- [j33]Jihua Zhu, Zutao Jiang, Georgios D. Evangelidis, Changqing Zhang, Shanmin Pang, Zhongyu Li:
Efficient registration of multi-view point sets by K-means clustering. Inf. Sci. 488: 205-218 (2019) - [j32]Xiaobo Wang, Zhen Lei, Xiaojie Guo, Changqing Zhang, Hailin Shi, Stan Z. Li:
Multi-view subspace clustering with intactness-aware similarity. Pattern Recognit. 88: 50-63 (2019) - [j31]Kun Zhan, Chaoxi Niu, Changlu Chen, Feiping Nie, Changqing Zhang, Yi Yang:
Graph Structure Fusion for Multiview Clustering. IEEE Trans. Knowl. Data Eng. 31(10): 1984-1993 (2019) - [j30]Changqing Zhang, Ehsan Adeli, Zhengwang Wu, Gang Li, Weili Lin, Dinggang Shen:
Infant Brain Development Prediction With Latent Partial Multi-View Representation Learning. IEEE Trans. Medical Imaging 38(4): 909-918 (2019) - [j29]Chang Tang, Xinzhong Zhu, Xinwang Liu, Miaomiao Li, Pichao Wang, Changqing Zhang, Lizhe Wang:
Learning a Joint Affinity Graph for Multiview Subspace Clustering. IEEE Trans. Multim. 21(7): 1724-1736 (2019) - [j28]Chang Tang, Xinwang Liu, Pichao Wang, Changqing Zhang, Miaomiao Li, Lizhe Wang:
Adaptive Hypergraph Embedded Semi-Supervised Multi-Label Image Annotation. IEEE Trans. Multim. 21(11): 2837-2849 (2019) - [c46]Changqing Zhang, Yeqing Liu, Huazhu Fu:
AE2-Nets: Autoencoder in Autoencoder Networks. CVPR 2019: 2577-2585 - [c45]Xiuyi Jia, Xiang Zheng, Weiwei Li, Changqing Zhang, Zechao Li:
Facial Emotion Distribution Learning by Exploiting Low-Rank Label Correlations Locally. CVPR 2019: 9841-9850 - [c44]Gang Min, Xiongwei Zhang, Xiangyang Liu, Changqing Zhang, Yanpu Chen:
A Speech Reconstruction Algorithm via Iteratively Reweighted ℓ2 Minimization for MFCC Codec. EUSIPCO 2019: 1-5 - [c43]Ruihuang Li, Changqing Zhang, Huazhu Fu, Xi Peng, Joey Tianyi Zhou, Qinghua Hu:
Reciprocal Multi-Layer Subspace Learning for Multi-View Clustering. ICCV 2019: 8171-8179 - [c42]Gang Min, Changqing Zhang, Xiongwei Zhang, Wei Tan:
Deep Vocoder: Low Bit Rate Compression of Speech with Deep Autoencoder. ICME Workshops 2019: 372-377 - [c41]Zhenyu Huang, Joey Tianyi Zhou, Xi Peng, Changqing Zhang, Hongyuan Zhu, Jiancheng Lv:
Multi-view Spectral Clustering Network. IJCAI 2019: 2563-2569 - [c40]Ruihuang Li, Changqing Zhang, Qinghua Hu, Pengfei Zhu, Zheng Wang:
Flexible Multi-View Representation Learning for Subspace Clustering. IJCAI 2019: 2916-2922 - [c39]Jing Wang, Linchuan Xu, Feng Tian, Atsushi Suzuki, Changqing Zhang, Kenji Yamanishi:
Attributed Subspace Clustering. IJCAI 2019: 3719-3725 - [c38]Jing Liu, Jianbin Wang, Changqing Zhang, Xiubo Yang, Jianbo Deng, Ruihe Zhu, Xiaojie Nan, Qinghua Chen:
Chinese Address Similarity Calculation Based on Auto Geological Level Tagging. ISNN (2) 2019: 431-438 - [c37]Jiaxu Han, Tianyu Zhao, Changqing Zhang:
Deep Distillation Metric Learning. MMAsia 2019: 11:1-11:7 - [c36]Changqing Zhang, Zongbo Han, Yajie Cui, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu:
CPM-Nets: Cross Partial Multi-View Networks. NeurIPS 2019: 557-567 - [i5]Gang Min, Changqing Zhang, Xiongwei Zhang, Wei Tan:
Deep Vocoder: Low Bit Rate Compression of Speech with Deep Autoencoder. CoRR abs/1905.04709 (2019) - [i4]Pengfei Zhu, Binyuan Hui, Changqing Zhang, Dawei Du, Longyin Wen, Qinghua Hu:
Multi-view Deep Subspace Clustering Networks. CoRR abs/1908.01978 (2019) - 2018
- [j27]Zhenghao Shi, Meimei Zhu, Bin Guo, Minghua Zhao, Changqing Zhang:
Nighttime low illumination image enhancement with single image using bright/dark channel prior. EURASIP J. Image Video Process. 2018: 13 (2018) - [j26]Zhenghao Shi, Yaowei Li, Changqing Zhang, Minghua Zhao, Yaning Feng, Bo Jiang:
Weighted median guided filtering method for single image rain removal. EURASIP J. Image Video Process. 2018: 35 (2018) - [j25]Pengfei Zhu, Qian Xu, Qinghua Hu, Changqing Zhang:
Co-regularized unsupervised feature selection. Neurocomputing 275: 2855-2863 (2018) - [j24]Yanbei Liu, Kaihua Liu, Changqing Zhang, Xiao Wang, Shaona Wang, Zhitao Xiao:
Entropy-based active sparse subspace clustering. Multim. Tools Appl. 77(17): 22281-22297 (2018) - [j23]Pengfei Zhu, Qian Xu, Qinghua Hu, Changqing Zhang, Hong Zhao:
Multi-label feature selection with missing labels. Pattern Recognit. 74: 488-502 (2018) - [j22]Pengfei Zhu, Qi Hu, Qinghua Hu, Changqing Zhang, Zhizhao Feng:
Multi-view label embedding. Pattern Recognit. 84: 126-135 (2018) - [j21]Jianjun Lei, Bo Peng, Changqing Zhang, Xuguang Mei, Xiaochun Cao, Xiaoting Fan, Xuelong Li:
Shape-Preserving Object Depth Control for Stereoscopic Images. IEEE Trans. Circuits Syst. Video Technol. 28(12): 3333-3344 (2018) - [j20]Kun Zhan, Changqing Zhang, Junpeng Guan, Junsheng Wang:
Graph Learning for Multiview Clustering. IEEE Trans. Cybern. 48(10): 2887-2895 (2018) - [j19]Huazhu Fu, Jun Cheng, Yanwu Xu, Changqing Zhang, Damon Wing Kee Wong, Jiang Liu, Xiaochun Cao:
Disc-Aware Ensemble Network for Glaucoma Screening From Fundus Image. IEEE Trans. Medical Imaging 37(11): 2493-2501 (2018) - [c35]Shirui Luo, Changqing Zhang, Wei Zhang, Xiaochun Cao:
Consistent and Specific Multi-View Subspace Clustering. AAAI 2018: 3730-3737 - [c34]Changqing Zhang, Ehsan Adeli, Tao Zhou, Xiaobo Chen, Dinggang Shen:
Multi-Layer Multi-View Classification for Alzheimer's Disease Diagnosis. AAAI 2018: 4406-4413 - [c33]Changqing Zhang, Ziwei Yu, Qinghua Hu, Pengfei Zhu, Xinwang Liu, Xiaobo Wang:
Latent Semantic Aware Multi-View Multi-Label Classification. AAAI 2018: 4414-4421 - [c32]Yue Liu, Changqing Zhang, Pengfei Zhu, Qinghua Hu:
Generalized Multi-view Unsupervised Feature Selection. ICANN (2) 2018: 469-478 - [c31]Changqing Zhang, Gang Min, Huan Ma, Xian Li:
Application of Non-uniform Sampling in Compressed Sensing for Speech Signal. ICIC (1) 2018: 413-424 - [c30]Hao Cheng, Pengfei Zhu, Qilong Wang, Changqing Zhang, Qinghua Hu:
Support Vector Metric Learning on Symmetric Positive Definite Manifold. ICME 2018: 1-6 - [c29]Xiaoya Wei, Ziwei Yu, Changqing Zhang, Qinghua Hu:
Ensemble of Label Specific Features for Multi-Label Classification. ICME 2018: 1-6 - [c28]Changqing Zhang, Yeqing Liu, Yue Liu, Qinghua Hu, Xinwang Liu, Pengfei Zhu:
FISH-MML: Fisher-HSIC Multi-View Metric Learning. IJCAI 2018: 3054-3060 - [c27]Pengfei Zhu, Hao Cheng, Qinghua Hu, Qilong Wang, Changqing Zhang:
Towards Generalized and Efficient Metric Learning on Riemannian Manifold. IJCAI 2018: 3235-3241 - [c26]Pengfei Zhu, Ren Qi, Qinghua Hu, Qilong Wang, Changqing Zhang, Liu Yang:
Beyond Similar and Dissimilar Relations : A Kernel Regression Formulation for Metric Learning. IJCAI 2018: 3242-3248 - [c25]Changqing Zhang, Ehsan Adeli, Zhengwang Wu, Gang Li, Weili Lin, Dinggang Shen:
Infant brain development prediction with latent partial multi-view representation learning. ISBI 2018: 1048-1051 - [c24]Tao Zhou, Kim-Han Thung, Mingxia Liu, Feng Shi, Changqing Zhang, Dinggang Shen:
Multi-modal Neuroimaging Data Fusion via Latent Space Learning for Alzheimer's Disease Diagnosis. PRIME@MICCAI 2018: 76-84 - [c23]Jing Hu, Changqing Zhang, Xiao Wang, Pengfei Zhu, Zheng Wang, Qinghua Hu:
Latent Subspace Representation for Multiclass Classification. PRICAI (1) 2018: 163-176 - [i3]Huazhu Fu, Jun Cheng, Yanwu Xu, Changqing Zhang, Damon Wing Kee Wong, Jiang Liu, Xiaochun Cao:
Disc-aware Ensemble Network for Glaucoma Screening from Fundus Image. CoRR abs/1805.07549 (2018) - [i2]Tianyu Zhao, Wenqi Ren, Changqing Zhang, Dongwei Ren, Qinghua Hu:
Unsupervised Degradation Learning for Single Image Super-Resolution. CoRR abs/1812.04240 (2018) - 2017
- [j18]Yansheng Du, Zhihua Chen, Changqing Zhang, Xiaochun Cao:
Research on axial bearing capacity of rectangular concrete-filled steel tubular columns based on artificial neural networks. Frontiers Comput. Sci. 11(5): 863-873 (2017) - [j17]Yanbei Liu, Kaihua Liu, Changqing Zhang, Jing Wang, Xiao Wang:
Unsupervised feature selection via Diversity-induced Self-representation. Neurocomputing 219: 350-363 (2017) - [j16]Pengfei Zhu, Wencheng Zhu, Qinghua Hu, Changqing Zhang, Wangmeng Zuo:
Subspace clustering guided unsupervised feature selection. Pattern Recognit. 66: 364-374 (2017) - [j15]Chang Tang, Pichao Wang, Changqing Zhang, Wanqing Li:
Salient Object Detection via Weighted Low Rank Matrix Recovery. IEEE Signal Process. Lett. 24(4): 490-494 (2017) - [j14]Changqing Zhang, Huazhu Fu, Qinghua Hu, Pengfei Zhu, Xiaochun Cao:
Flexible Multi-View Dimensionality Co-Reduction. IEEE Trans. Image Process. 26(2): 648-659 (2017) - [j13]Jianjun Lei, Min Wu, Changqing Zhang, Feng Wu, Nam Ling, Chunping Hou:
Depth-Preserving Stereo Image Retargeting Based on Pixel Fusion. IEEE Trans. Multim. 19(7): 1442-1453 (2017) - [c22]Xiaobo Wang, Xiaojie Guo, Zhen Lei, Changqing Zhang, Stan Z. Li:
Exclusivity-Consistency Regularized Multi-view Subspace Clustering. CVPR 2017: 1-9 - [c21]Changqing Zhang, Qinghua Hu, Huazhu Fu, Pengfei Zhu, Xiaochun Cao:
Latent Multi-view Subspace Clustering. CVPR 2017: 4333-4341 - [c20]Guangxia Wang, Changqing Zhang, Pengfei Zhu, Qinghua Hu:
Semi-Supervised Multi-view Multi-label Classification Based on Nonnegative Matrix Factorization. ICANN (2) 2017: 340-348 - [c19]Kennedy W. Wangila, Ke Gao, Pengfei Zhu, Qinghua Hu, Changqing Zhang:
Mixed sparsity regularized multi-view unsupervised feature selection. ICIP 2017: 1930-1934 - [c18]Siqi Liang, Qian Xu, Pengfei Zhu, Qinghua Hu, Changqing Zhang:
Unsupervised feature selection by manifold regularized self-representation. ICIP 2017: 2398-2402 - [c17]Ziwei Yu, Changqing Zhang, Qinghua Hu, Pengfei Zhu:
Independence regularized multi-label ensemble. ICME 2017: 853-858 - [c16]Qi Hu, Pengfei Zhu, Changqing Zhang, Qinghua Hu:
Multi-view Label Space Dimension Reduction. ICONIP (1) 2017: 248-258 - [c15]Hua Zhang, Rui Wang, Changqing Zhang, Xiaochun Cao:
LEAF: Latent Extended Attribute Features Discovery for Visual Classification. ACM Multimedia 2017: 979-987 - [i1]Runmin Cong, Jianjun Lei, Changqing Zhang, Qingming Huang, Xiaochun Cao, Chunping Hou:
Saliency Detection for Stereoscopic Images Based on Depth Confidence Analysis and Multiple Cues Fusion. CoRR abs/1710.05174 (2017) - 2016
- [j12]Pengfei Zhu, Qinghua Hu, Yahong Han, Changqing Zhang, Yong Du:
Combining neighborhood separable subspaces for classification via sparsity regularized optimization. Inf. Sci. 370-371: 270-287 (2016) - [j11]Runmin Cong, Jianjun Lei, Changqing Zhang, Qingming Huang, Xiaochun Cao, Chunping Hou:
Saliency Detection for Stereoscopic Images Based on Depth Confidence Analysis and Multiple Cues Fusion. IEEE Signal Process. Lett. 23(6): 819-823 (2016) - [j10]Xiaochun Cao, Changqing Zhang, Huazhu Fu, Xiaojie Guo, Qi Tian:
Saliency-Aware Nonparametric Foreground Annotation Based on Weakly Labeled Data. IEEE Trans. Neural Networks Learn. Syst. 27(6): 1253-1265 (2016) - [c14]Pengfei Zhu, Qinghua Hu, Changqing Zhang, Wangmeng Zuo:
Coupled Dictionary Learning for Unsupervised Feature Selection. AAAI 2016: 2422-2428 - [c13]Ke Gao, Pengfei Zhu, Qinghua Hu, Changqing Zhang:
Unsupervised Subspace Learning via Analysis Dictionary Learning. CCBR 2016: 556-563 - [c12]Qian Xu, Pengfei Zhu, Qinghua Hu, Changqing Zhang:
Robust Multi-label Feature Selection with Missing Labels. CCPR (1) 2016: 752-765 - [c11]Hua Zhang, Si Liu, Changqing Zhang, Wenqi Ren, Rui Wang, Xiaochun Cao:
SketchNet: Sketch Classification with Web Images. CVPR 2016: 1105-1113 - [c10]Huaxi Huang, Changqing Zhang, Qinghua Hu, Pengfei Zhu:
Multi-view Representative and Informative Induced Active Learning. PRICAI 2016: 139-151 - [c9]Wencheng Zhu, Pengfei Zhu, Qinghua Hu, Changqing Zhang:
Set to Set Visual Tracking. PRICAI 2016: 700-712 - 2015
- [j9]Lei Niu, Changqing Zhang, Qi Xia, Yong Yu:
Advanced security analysis of a signature scheme with message recovery. Int. J. Inf. Comput. Secur. 7(1): 39-48 (2015) - [j8]Changqing Zhang, Zhiqiang Tao, Xingxing Wei, Xiaochun Cao:
A flexible framework of adaptive method selection for image saliency detection. Pattern Recognit. Lett. 63: 66-70 (2015) - [j7]Xingxing Wei, Zhiqiang Tao, Changqing Zhang, Xiaochun Cao:
Structured Saliency Fusion Based on Dempster-Shafer Theory. IEEE Signal Process. Lett. 22(9): 1345-1349 (2015) - [j6]Xiaochun Cao, Changqing Zhang, Chengju Zhou, Huazhu Fu, Hassan Foroosh:
Constrained Multi-View Video Face Clustering. IEEE Trans. Image Process. 24(11): 4381-4393 (2015) - [c8]Xiaochun Cao, Changqing Zhang, Huazhu Fu, Si Liu, Hua Zhang:
Diversity-induced Multi-view Subspace Clustering. CVPR 2015: 586-594 - [c7]Changqing Zhang, Huazhu Fu, Si Liu, Guangcan Liu, Xiaochun Cao:
Low-Rank Tensor Constrained Multiview Subspace Clustering. ICCV 2015: 1582-1590 - [c6]Chengju Zhou, Changqing Zhang, Huazhu Fu, Rui Wang, Xiaochun Cao:
Multi-cue Augmented Face Clustering. ACM Multimedia 2015: 1095-1098 - 2014
- [j5]Changqing Zhang, Guangping Li, Shinong Zhu, Shuo Zhang, Jinggui Fang:
tasiRNAdb: a database of ta-siRNA regulatory pathways. Bioinform. 30(7): 1045-1046 (2014) - [c5]Changqing Zhang, Yahong Han, Xiaojie Guo, Xiaochun Cao:
Output Feature Augmented Lasso. ICDM 2014: 680-686 - [c4]Binbin Ma, Changqing Zhang, Jingjing Chen, Ri Qu, Jiangjian Xiao, Xiaochun Cao:
Human Skin Detection via Semantic Constraint. ICIMCS 2014: 181 - [c3]Chengju Zhou, Changqing Zhang, Xuewei Li, Gaotao Shi, Xiaochun Cao:
Video Face Clustering via Constrained Sparse Representation. ICME 2014: 1-6 - 2013
- [c2]