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ORCIDQian Zhao 0002
Person information
- affiliation: Xi'an Jiaotong University, School of Mathematics and Statistics, China
Other persons with the same name
- Qian Zhao — disambiguation page
- Qian Zhao 0001
![[0000-0003-0032-1974]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-0032-1974")
— Kyushu Institute of Technology, Iizuka-shi, Japan (and 1 more) - Qian Zhao 0003 — Children's National Medical Center, Sheikh Zayed Institute for Pediatric Surgical Innovation, Washington DC, USA
- Qian Zhao 0004 — Tianjin University, College of Management and Economics, China
- Qian Zhao 0005 — Chinese University of Hong Kong
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2020 – today
- 2024
[j46]Qian Zhao, Yuji Lin, Fengxingyu Wang, Deyu Meng:
Adaptive weighting function for weighted nuclear norm based matrix/tensor completion. Int. J. Mach. Learn. Cybern. 15(2): 697-718 (2024)- [j45]Lixuan Yi, Qian Zhao, Zongben Xu:
Hyperspectral Image Denoising by Pixel-Wise Noise Modeling and TV-Oriented Deep Image Prior. Remote. Sens. 16(15): 2694 (2024) - [j44]Zibo Song, Qian Zhao, Deyu Meng:
HQ-IRN: Quantizing High-Frequency Features for Image Rescaling. IEEE Signal Process. Lett. 31: 1985-1989 (2024) - [j43]Jiangjun Peng, Hailin Wang, Xiangyong Cao, Qian Zhao, Jing Yao, Hongying Zhang, Deyu Meng:
Learnable Representative Coefficient Image Denoiser for Hyperspectral Image. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [j42]Hong Wang, Qi Xie, Qian Zhao, Yuexiang Li, Yong Liang, Yefeng Zheng, Deyu Meng:
RCDNet: An Interpretable Rain Convolutional Dictionary Network for Single Image Deraining. IEEE Trans. Neural Networks Learn. Syst. 35(6): 8668-8682 (2024) - [i41]Jiangtao Zhang, Zongsheng Yue, Hui Wang, Qian Zhao, Deyu Meng:
Blind Image Deconvolution by Generative-based Kernel Prior and Initializer via Latent Encoding. CoRR abs/2407.14816 (2024) - [i40]Yuji Lin, Xianqiang Lyu, Junhui Hou, Qian Zhao, Deyu Meng:
Enhancing Underwater Imaging with 4-D Light Fields: Dataset and Method. CoRR abs/2408.17339 (2024) - 2023
- [j41]Zhengyang Hu, Jiang Xue, Feng Li, Qian Zhao, Deyu Meng, Zongben Xu:
Robust channel estimation based on the maximum entropy principle. Sci. China Inf. Sci. 66(12) (2023) - [j40]Qian Zhao, Hui Wang, Xuehu Zhu, Deyu Meng:
Stein variational gradient descent with learned direction. Inf. Sci. 637: 118975 (2023) - [j39]Jun Shu, Yanwen Zhu, Qian Zhao, Deyu Meng, Zongben Xu:
MLR-SNet: Transferable LR Schedules for Heterogeneous Tasks. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3505-3521 (2023) - [j38]Qi Xie, Qian Zhao, Zongben Xu, Deyu Meng:
Fourier Series Expansion Based Filter Parametrization for Equivariant Convolutions. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4537-4551 (2023) - [j37]Qian Zhao, Jun Shu, Xiang Yuan, Ziming Liu, Deyu Meng:
A Probabilistic Formulation for Meta-Weight-Net. IEEE Trans. Neural Networks Learn. Syst. 34(3): 1194-1208 (2023) - [j36]Zina Li, Yao Wang, Qian Zhao, Shijun Zhang, Deyu Meng:
A Tensor-Based Online RPCA Model for Compressive Background Subtraction. IEEE Trans. Neural Networks Learn. Syst. 34(12): 10668-10682 (2023) - [c25]Minghao Zhou, Hong Wang, Qian Zhao, Yuexiang Li, Yawen Huang, Deyu Meng, Yefeng Zheng:
Interactive Segmentation as Gaussian Process Classification. CVPR 2023: 19488-19497 - [i39]Xiangyu Rui, Xiangyong Cao, Jun Shu, Qian Zhao, Deyu Meng:
A Hyper-weight Network for Hyperspectral Image Denoising. CoRR abs/2301.06081 (2023) - [i38]Minghao Zhou, Hong Wang, Qian Zhao, Yuexiang Li, Yawen Huang, Deyu Meng, Yefeng Zheng:
Interactive Segmentation as Gaussian Process Classification. CoRR abs/2302.14578 (2023) - [i37]Xinyi Liu, Qian Zhao, Jie Liang, Hui Zeng, Deyu Meng, Lei Zhang:
Guided Image Restoration via Simultaneous Feature and Image Guided Fusion. CoRR abs/2312.08853 (2023) - 2022
- [j35]Hong Wang, Yichen Wu, Minghan Li, Qian Zhao, Deyu Meng:
Survey on rain removal from videos or a single image. Sci. China Inf. Sci. 65(1) (2022) - [j34]Qian Zhao, Hui Wang, Zongsheng Yue, Deyu Meng:
A deep variational Bayesian framework for blind image deblurring. Knowl. Based Syst. 249: 109008 (2022) - [j33]Qi Xie, Minghao Zhou, Qian Zhao, Zongben Xu, Deyu Meng:
MHF-Net: An Interpretable Deep Network for Multispectral and Hyperspectral Image Fusion. IEEE Trans. Pattern Anal. Mach. Intell. 44(3): 1457-1473 (2022) - [j32]Heng Du, Yun Deng, Jiang Xue, Deyu Meng, Qian Zhao, Zongben Xu:
Robust Online CSI Estimation in a Complex Environment. IEEE Trans. Wirel. Commun. 21(10): 8322-8336 (2022) - [c24]Zongsheng Yue, Qian Zhao, Jianwen Xie, Lei Zhang, Deyu Meng, Kwan-Yee K. Wong:
Blind Image Super-resolution with Elaborate Degradation Modeling on Noise and Kernel. CVPR 2022: 2118-2128 - [c23]Jiahong Fu, Hong Wang, Qi Xie, Qian Zhao, Deyu Meng, Zongben Xu:
KXNet: A Model-Driven Deep Neural Network for Blind Super-Resolution. ECCV (19) 2022: 235-253 - [i36]Xinyi Liu, Qi Xie, Qian Zhao, Hong Wang, Deyu Meng:
Low-light Image Enhancement by Retinex Based Algorithm Unrolling and Adjustment. CoRR abs/2202.05972 (2022) - [i35]Minghao Zhou, Quanziang Wang, Jun Shu, Qian Zhao, Deyu Meng:
Diagnosing Batch Normalization in Class Incremental Learning. CoRR abs/2202.08025 (2022) - [i34]Jiahong Fu, Hong Wang, Qi Xie, Qian Zhao, Deyu Meng, Zongben Xu:
KXNet: A Model-Driven Deep Neural Network for Blind Super-Resolution. CoRR abs/2209.10305 (2022) - 2021
- [j31]Hong Wang, Yichen Wu, Qi Xie, Qian Zhao, Yong Liang, Shijun Zhang, Deyu Meng:
Structural residual learning for single image rain removal. Knowl. Based Syst. 213: 106595 (2021) - [j30]Lixuan Yi, Qian Zhao, Wei Wei, Zongben Xu:
Robust online rain removal for surveillance videos with dynamic rains. Knowl. Based Syst. 222: 107006 (2021) - [j29]Junxiong Jia, Qian Zhao, Zongben Xu, Deyu Meng, Yee Leung:
Variational Bayes' Method for Functions with Applications to Some Inverse Problems. SIAM J. Sci. Comput. 43(1): A355-A383 (2021) - [j28]Kaidong Wang, Yao Wang, Qian Zhao, Deyu Meng, Xiuwu Liao, Zongben Xu:
SPLBoost: An Improved Robust Boosting Algorithm Based on Self-Paced Learning. IEEE Trans. Cybern. 51(3): 1556-1570 (2021) - [j27]Minghan Li, Xiangyong Cao, Qian Zhao, Lei Zhang, Deyu Meng:
Online Rain/Snow Removal From Surveillance Videos. IEEE Trans. Image Process. 30: 2029-2044 (2021) - [c22]Yichen Wu, Jun Shu, Qi Xie, Qian Zhao, Deyu Meng:
Learning to Purify Noisy Labels via Meta Soft Label Corrector. AAAI 2021: 10388-10396 - [c21]Zongsheng Yue, Jianwen Xie, Qian Zhao, Deyu Meng:
Semi-Supervised Video Deraining With Dynamical Rain Generator. CVPR 2021: 642-652 - [c20]Xiangyu Rui, Xiangyong Cao, Qi Xie, Zongsheng Yue, Qian Zhao, Deyu Meng:
Learning an Explicit Weighting Scheme for Adapting Complex HSI Noise. CVPR 2021: 6739-6748 - [c19]Hong Wang, Zongsheng Yue, Qi Xie, Qian Zhao, Yefeng Zheng, Deyu Meng:
From Rain Generation to Rain Removal. CVPR 2021: 14791-14801 - [i33]Zongsheng Yue, Jianwen Xie, Qian Zhao, Deyu Meng:
Semi-Supervised Video Deraining with Dynamical Rain Generator. CoRR abs/2103.07939 (2021) - [i32]Hui Wang, Zongsheng Yue, Qian Zhao, Deyu Meng:
A Deep Variational Bayesian Framework for Blind Image Deblurring. CoRR abs/2106.02884 (2021) - [i31]Zongsheng Yue, Qian Zhao, Jianwen Xie, Lei Zhang, Deyu Meng:
Unsupervised Single Image Super-resolution Under Complex Noise. CoRR abs/2107.00986 (2021) - [i30]Hong Wang, Qi Xie, Qian Zhao, Yong Liang, Deyu Meng:
RCDNet: An Interpretable Rain Convolutional Dictionary Network for Single Image Deraining. CoRR abs/2107.06808 (2021) - [i29]Qi Xie, Qian Zhao, Zongben Xu, Deyu Meng:
Fourier Series Expansion Based Filter Parametrization for Equivariant Convolutions. CoRR abs/2107.14519 (2021) - 2020
- [j26]Qi Xie, Qian Zhao, Zongben Xu, Deyu Meng:
Color and direction-invariant nonlocal self-similarity prior and its application to color image denoising. Sci. China Inf. Sci. 63(12) (2020) - [j25]Hong Wang, Qi Xie, Yichen Wu, Qian Zhao, Deyu Meng:
Single image rain streaks removal: a review and an exploration. Int. J. Mach. Learn. Cybern. 11(4): 853-872 (2020) - [j24]Shiqi Liu, Jingxin Liu, Qian Zhao, Xiangyong Cao, Huibin Li, Deyu Meng, Hongying Meng, Sheng Liu:
Discovering influential factors in variational autoencoders. Pattern Recognit. 100: 107166 (2020) - [j23]Yuanke Zhang, Jiangjun Peng, Dong Zeng, Qi Xie, Sui Li, Zhaoying Bian, Yongbo Wang, Yong Zhang, Qian Zhao, Hao Zhang, Zhengrong Liang, Hongbing Lu, Deyu Meng, Jianhua Ma:
Contrast-Medium Anisotropy-Aware Tensor Total Variation Model for Robust Cerebral Perfusion CT Reconstruction With Low-Dose Scans. IEEE Trans. Computational Imaging 6: 1375-1388 (2020) - [j22]Jiangjun Peng, Qi Xie, Qian Zhao, Yao Wang, Yee Leung, Deyu Meng:
Enhanced 3DTV Regularization and Its Applications on HSI Denoising and Compressed Sensing. IEEE Trans. Image Process. 29: 7889-7903 (2020) - [j21]Dong Zeng, Lisha Yao, Yongshuai Ge, Sui Li, Qi Xie, Hao Zhang, Zhaoying Bian, Qian Zhao, Yuanqing Li, Zongben Xu, Deyu Meng, Jianhua Ma:
Full-Spectrum-Knowledge-Aware Tensor Model for Energy-Resolved CT Iterative Reconstruction. IEEE Trans. Medical Imaging 39(9): 2831-2843 (2020) - [j20]Zongsheng Yue, Hongwei Yong, Deyu Meng, Qian Zhao, Yee Leung, Lei Zhang:
Robust Multiview Subspace Learning With Nonindependently and Nonidentically Distributed Complex Noise. IEEE Trans. Neural Networks Learn. Syst. 31(4): 1070-1083 (2020) - [j19]Qian Zhao, Xiangyu Rui, Zhi Han, Deyu Meng:
Multilinear Multitask Learning by Rank-Product Regularization. IEEE Trans. Neural Networks Learn. Syst. 31(4): 1336-1350 (2020) - [c18]Hong Wang, Qi Xie, Qian Zhao, Deyu Meng:
A Model-Driven Deep Neural Network for Single Image Rain Removal. CVPR 2020: 3100-3109 - [c17]Zongsheng Yue, Qian Zhao, Lei Zhang, Deyu Meng:
Dual Adversarial Network: Toward Real-World Noise Removal and Noise Generation. ECCV (10) 2020: 41-58 - [c16]Zhengyang Hu, Jiang Xue, Deyu Meng, Qian Zhao, Zongben Xu:
MEP-Based Channel Estimation under Complex Communication Environment. ICC 2020: 1-5 - [i28]Jun Shu, Qian Zhao, Keyu Chen, Zongben Xu, Deyu Meng:
Learning Adaptive Loss for Robust Learning with Noisy Labels. CoRR abs/2002.06482 (2020) - [i27]Hong Wang, Qi Xie, Qian Zhao, Deyu Meng:
A Model-driven Deep Neural Network for Single Image Rain Removal. CoRR abs/2005.01333 (2020) - [i26]Hong Wang, Yichen Wu, Qi Xie, Qian Zhao, Yong Liang, Deyu Meng:
Structural Residual Learning for Single Image Rain Removal. CoRR abs/2005.09228 (2020) - [i25]Jun Shu, Qian Zhao, Zongben Xu, Deyu Meng:
Meta Transition Adaptation for Robust Deep Learning with Noisy Labels. CoRR abs/2006.05697 (2020) - [i24]Zongsheng Yue, Qian Zhao, Lei Zhang, Deyu Meng:
Dual Adversarial Network: Toward Real-world Noise Removal and Noise Generation. CoRR abs/2007.05946 (2020) - [i23]Jun Shu, Yanwen Zhu, Qian Zhao, Deyu Meng, Zongben Xu:
Meta-LR-Schedule-Net: Learned LR Schedules that Scale and Generalize. CoRR abs/2007.14546 (2020) - [i22]Yichen Wu, Jun Shu, Qi Xie, Qian Zhao, Deyu Meng:
Learning to Purify Noisy Labels via Meta Soft Label Corrector. CoRR abs/2008.00627 (2020) - [i21]Renzhen Wang, Kaiqin Hu, Yanwen Zhu, Jun Shu, Qian Zhao, Deyu Meng:
Meta Feature Modulator for Long-tailed Recognition. CoRR abs/2008.03428 (2020) - [i20]Hong Wang, Zongsheng Yue, Qi Xie, Qian Zhao, Deyu Meng:
From Rain Removal to Rain Generation. CoRR abs/2008.03580 (2020) - [i19]Zongsheng Yue, Hongwei Yong, Qian Zhao, Lei Zhang, Deyu Meng:
Variational Image Restoration Network. CoRR abs/2008.10796 (2020)
2010 – 2019
- 2019
- [j18]Jing Yao, Deyu Meng, Qian Zhao, Wenfei Cao, Zongben Xu:
Nonconvex-Sparsity and Nonlocal-Smoothness-Based Blind Hyperspectral Unmixing. IEEE Trans. Image Process. 28(6): 2991-3006 (2019) - [c15]Qi Xie, Minghao Zhou, Qian Zhao, Deyu Meng, Wangmeng Zuo, Zongben Xu:
Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net. CVPR 2019: 1585-1594 - [c14]Wei Wei, Deyu Meng, Qian Zhao, Zongben Xu, Ying Wu:
Semi-Supervised Transfer Learning for Image Rain Removal. CVPR 2019: 3877-3886 - [c13]Haipei Zhang, Jiang Xue, Deyu Meng, Qian Zhao, Zongben Xu:
Robust CSI Estimation Under Complex Communication Environment. ICC 2019: 1-6 - [c12]Zongsheng Yue, Hongwei Yong, Qian Zhao, Deyu Meng, Lei Zhang:
Variational Denoising Network: Toward Blind Noise Modeling and Removal. NeurIPS 2019: 1688-1699 - [c11]Jun Shu, Qi Xie, Lixuan Yi, Qian Zhao, Sanping Zhou, Zongben Xu, Deyu Meng:
Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting. NeurIPS 2019: 1917-1928 - [i18]Qi Xie, Minghao Zhou, Qian Zhao, Deyu Meng, Wangmeng Zuo, Zongben Xu:
Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net. CoRR abs/1901.03281 (2019) - [i17]Jun Shu, Qi Xie, Lixuan Yi, Qian Zhao, Sanping Zhou, Zongben Xu, Deyu Meng:
Push the Student to Learn Right: Progressive Gradient Correcting by Meta-learner on Corrupted Labels. CoRR abs/1902.07379 (2019) - [i16]Junxiong Jia, Qian Zhao, Zongben Xu, Deyu Meng:
Variational Bayes' method for functions with applications to some inverse problems. CoRR abs/1907.03889 (2019) - [i15]Zongsheng Yue, Hongwei Yong, Qian Zhao, Lei Zhang, Deyu Meng:
Variational Denoising Network: Toward Blind Noise Modeling and Removal. CoRR abs/1908.11314 (2019) - [i14]Minghan Li, Xiangyong Cao, Qian Zhao, Lei Zhang, Chenqiang Gao, Deyu Meng:
Video Rain/Snow Removal by Transformed Online Multiscale Convolutional Sparse Coding. CoRR abs/1909.06148 (2019) - [i13]Hong Wang, Minghan Li, Yichen Wu, Qian Zhao, Deyu Meng:
A Survey on Rain Removal from Video and Single Image. CoRR abs/1909.08326 (2019) - 2018
- [j17]Jing Yao, Xiangyong Cao, Qian Zhao, Deyu Meng, Zongben Xu:
Robust subspace clustering via penalized mixture of Gaussians. Neurocomputing 278: 4-11 (2018) - [j16]Qi Xie, Qian Zhao, Deyu Meng, Zongben Xu:
Kronecker-Basis-Representation Based Tensor Sparsity and Its Applications to Tensor Recovery. IEEE Trans. Pattern Anal. Mach. Intell. 40(8): 1888-1902 (2018) - [j15]Chenqiang Gao, Lan Wang, Yongxing Xiao, Qian Zhao, Deyu Meng:
Infrared small-dim target detection based on Markov random field guided noise modeling. Pattern Recognit. 76: 463-475 (2018) - [j14]Zongsheng Yue, Deyu Meng, Yongqing Sun, Qian Zhao:
Hyperspectral Image Restoration under Complex Multi-Band Noises. Remote. Sens. 10(10): 1631 (2018) - [j13]Yao Wang, Jiangjun Peng, Qian Zhao, Yee Leung, Xi-Le Zhao, Deyu Meng:
Hyperspectral Image Restoration Via Total Variation Regularized Low-Rank Tensor Decomposition. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(4): 1227-1243 (2018) - [j12]Yang Chen, Xiangyong Cao, Qian Zhao, Deyu Meng, Zongben Xu:
Denoising Hyperspectral Image With Non-i.i.d. Noise Structure. IEEE Trans. Cybern. 48(3): 1054-1066 (2018) - [j11]Xiai Chen, Zhi Han, Yao Wang, Qian Zhao, Deyu Meng, Lin Lin, Yandong Tang:
A Generalized Model for Robust Tensor Factorization With Noise Modeling by Mixture of Gaussians. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5380-5393 (2018) - [c10]Minghan Li, Qi Xie, Qian Zhao, Wei Wei, Shuhang Gu, Jing Tao, Deyu Meng:
Video Rain Streak Removal by Multiscale Convolutional Sparse Coding. CVPR 2018: 6644-6653 - [i12]Wei Wei, Deyu Meng, Qian Zhao, Zongben Xu:
Semi-supervised CNN for Single Image Rain Removal. CoRR abs/1807.11078 (2018) - [i11]Mingrui Geng, Yun Deng, Qian Zhao, Qi Xie, Dong Zeng, Jianhua Ma, Wangmeng Zuo, Deyu Meng:
Unsupervised/Semi-supervised Deep Learning for Low-dose CT Enhancement. CoRR abs/1808.02603 (2018) - [i10]Shiqi Liu, Jingxin Liu, Qian Zhao, Xiangyong Cao, Huibin Li, Hongying Meng, Sheng Liu, Deyu Meng:
Discovering Influential Factors in Variational Autoencoder. CoRR abs/1809.01804 (2018) - [i9]Jiangjun Peng, Qi Xie, Qian Zhao, Yao Wang, Deyu Meng, Yee Leung:
Enhanced 3DTV Regularization and Its Applications on Hyper-spectral Image Denoising and Compressed Sensing. CoRR abs/1809.06591 (2018) - 2017
- [j10]Xiangyong Cao, Lin Xu, Deyu Meng, Qian Zhao, Zongben Xu:
Integration of 3-dimensional discrete wavelet transform and Markov random field for hyperspectral image classification. Neurocomputing 226: 90-100 (2017) - [j9]Deyu Meng, Qian Zhao, Lu Jiang:
A theoretical understanding of self-paced learning. Inf. Sci. 414: 319-328 (2017) - [j8]Yao Wang, Lin Lin, Qian Zhao, Tianwei Yue, Deyu Meng, Yee Leung:
Compressive Sensing of Hyperspectral Images via Joint Tensor Tucker Decomposition and Weighted Total Variation Regularization. IEEE Geosci. Remote. Sens. Lett. 14(12): 2457-2461 (2017) - [j7]Qi Xie, Dong Zeng, Qian Zhao, Deyu Meng, Zongben Xu, Zhengrong Liang, Jianhua Ma:
Robust Low-Dose CT Sinogram Preprocessing via Exploiting Noise-Generating Mechanism. IEEE Trans. Medical Imaging 36(12): 2487-2498 (2017) - [c9]Wei Wei, Lixuan Yi, Qi Xie, Qian Zhao, Deyu Meng, Zongben Xu:
Should We Encode Rain Streaks in Video as Deterministic or Stochastic? ICCV 2017: 2535-2544 - [i8]Yang Chen, Xiangyong Cao, Qian Zhao, Deyu Meng, Zongben Xu:
Denoising Hyperspectral Image with Non-i.i.d. Noise Structure. CoRR abs/1702.00098 (2017) - [i7]Xiai Chen, Zhi Han, Yao Wang, Qian Zhao, Deyu Meng, Lin Lin, Yandong Tang:
A General Model for Robust Tensor Factorization with Unknown Noise. CoRR abs/1705.06755 (2017) - [i6]Kaidong Wang, Yao Wang, Qian Zhao, Deyu Meng, Zongben Xu:
SPLBoost: An Improved Robust Boosting Algorithm Based on Self-paced Learning. CoRR abs/1706.06341 (2017) - [i5]Yao Wang, Jiangjun Peng, Qian Zhao, Deyu Meng, Yee Leung, Xi-Le Zhao:
Hyperspectral Image Restoration via Total Variation Regularized Low-rank Tensor Decomposition. CoRR abs/1707.02477 (2017) - 2016
- [j6]Xiangyong Cao, Qian Zhao, Deyu Meng, Yang Chen, Zongben Xu:
Robust Low-Rank Matrix Factorization Under General Mixture Noise Distributions. IEEE Trans. Image Process. 25(10): 4677-4690 (2016) - [c8]Qi Xie, Qian Zhao, Deyu Meng, Zongben Xu, Shuhang Gu, Wangmeng Zuo, Lei Zhang:
Multispectral Images Denoising by Intrinsic Tensor Sparsity Regularization. CVPR 2016: 1692-1700 - [c7]Xiai Chen, Zhi Han, Yao Wang, Qian Zhao, Deyu Meng, Yandong Tang:
Robust Tensor Factorization with Unknown Noise. CVPR 2016: 5213-5221 - [i4]Xiangyong Cao, Qian Zhao, Deyu Meng, Yang Chen, Zongben Xu:
Low-rank Matrix Factorization under General Mixture Noise Distributions. CoRR abs/1601.01060 (2016) - 2015
- [j5]Qian Zhao, Deyu Meng, Zongben Xu, Chenqiang Gao:
A block coordinate descent approach for sparse principal component analysis. Neurocomputing 153: 180-190 (2015) - [j4]Qian Zhao, Deyu Meng, Zongben Xu, Wangmeng Zuo, Yan Yan:
L1-Norm Low-Rank Matrix Factorization by Variational Bayesian Method. IEEE Trans. Neural Networks Learn. Syst. 26(4): 825-839 (2015) - [c6]Lu Jiang, Deyu Meng, Qian Zhao, Shiguang Shan, Alexander G. Hauptmann:
Self-Paced Curriculum Learning. AAAI 2015: 2694-2700 - [c5]Qian Zhao, Deyu Meng, Lu Jiang, Qi Xie, Zongben Xu, Alexander G. Hauptmann:
Self-Paced Learning for Matrix Factorization. AAAI 2015: 3196-3202 - [c4]Qian Zhao, Deyu Meng, Xu Kong, Qi Xie, Wenfei Cao, Yao Wang, Zongben Xu:
A Novel Sparsity Measure for Tensor Recovery. ICCV 2015: 271-279 - [c3]Dingwen Zhang, Deyu Meng, Chao Li, Lu Jiang, Qian Zhao, Junwei Han:
A Self-Paced Multiple-Instance Learning Framework for Co-Saliency Detection. ICCV 2015: 594-602 - [c2]Xiangyong Cao, Yang Chen, Qian Zhao, Deyu Meng, Yao Wang, Dong Wang, Zongben Xu:
Low-Rank Matrix Factorization under General Mixture Noise Distributions. ICCV 2015: 1493-1501 - [i3]Deyu Meng, Qian Zhao:
What Objective Does Self-paced Learning Indeed Optimize? CoRR abs/1511.06049 (2015) - 2014
- [j3]Qian Zhao, Deyu Meng, Zongben Xu:
Robust sparse principal component analysis. Sci. China Inf. Sci. 57(9): 1-14 (2014) - [c1]Qian Zhao, Deyu Meng, Zongben Xu, Wangmeng Zuo, Lei Zhang:
Robust Principal Component Analysis with Complex Noise. ICML 2014: 55-63 - 2013
- [j2]Deyu Meng, Qian Zhao, Yee Leung, Zongben Xu:
Learning dictionary from signals under global sparsity constraint. Neurocomputing 119: 308-318 (2013) - 2012
- [j1]Deyu Meng, Qian Zhao, Zongben Xu:
Improve robustness of sparse PCA by L1-norm maximization. Pattern Recognit. 45(1): 487-497 (2012) - [i2]Deyu Meng, Yee Leung, Qian Zhao, Zongben Xu:
Dictionary learning under global sparsity constraint. CoRR abs/1202.6562 (2012) - [i1]Qian Zhao, Deyu Meng, Zongben Xu:
A recursive divide-and-conquer approach for sparse principal component analysis. CoRR abs/1211.7219 (2012)