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Zhixun Su
Zhi-xun Su
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2020 – today
- 2024
- [j70]Kaiqiang Xu, Kewei Tang, Zhixun Su:
Multi-view deep subspace clustering via level-by-level guided multi-level features learning. Appl. Intell. 54(21): 11083-11102 (2024) - [j69]Liyan Wang, Qinyu Yang, Cong Wang, Wei Wang, Zhixun Su:
Coarse-to-fine mechanisms mitigate diffusion limitations on image restoration. Comput. Vis. Image Underst. 248: 104118 (2024) - [j68]Kaiqiang Xu, Kewei Tang, Zhixun Su, Hongchen Tan:
Clean and robust multi-level subspace representations learning for deep multi-view subspace clustering. Expert Syst. Appl. 252: 124243 (2024) - [j67]Cheng Yang, Cong Wang, Lijing Liang, Zhixun Su:
Real-world image denoising via efficient diffusion model with controllable noise generation. J. Electronic Imaging 33(4) (2024) - [c59]Ziyu Yue, Jiaxin Gao, Zhixun Su:
Unveiling Details in the Dark: Simultaneous Brightening and Zooming for Low-Light Image Enhancement. AAAI 2024: 6899-6907 - [c58]Qinyu Yang, Hao Chen, Yong Zhang, Menghan Xia, Xiaodong Cun, Zhixun Su, Ying Shan:
Noise Calibration: Plug-and-Play Content-Preserving Video Enhancement Using Pre-trained Video Diffusion Models. ECCV (36) 2024: 307-326 - [i19]Ziyu Yue, Jiaxin Gao, Sihan Xie, Yang Liu, Zhixun Su:
LoLiSRFlow: Joint Single Image Low-light Enhancement and Super-resolution via Cross-scale Transformer-based Conditional Flow. CoRR abs/2402.18871 (2024) - [i18]Liyan Wang, Cong Wang, Jinshan Pan, Weixiang Zhou, Xiaoran Sun, Wei Wang, Zhixun Su:
Ultra-High-Definition Restoration: New Benchmarks and A Dual Interaction Prior-Driven Solution. CoRR abs/2406.13607 (2024) - [i17]Qinyu Yang, Haoxin Chen, Yong Zhang, Menghan Xia, Xiaodong Cun, Zhixun Su, Ying Shan:
Noise Calibration: Plug-and-play Content-Preserving Video Enhancement using Pre-trained Video Diffusion Models. CoRR abs/2407.10285 (2024) - 2023
- [j66]Lifei Sun, Sen Li, Hailong Liu, Changkai Sun, Liping Qi, Zhixun Su, Changsen Sun:
A Brand-New Simple, Fast, and Effective Residual-Based Method for Radial Basis Function Neural Networks Training. IEEE Access 11: 28977-28991 (2023) - [j65]Kewei Tang, Kaiqiang Xu, Zhixun Su, Nan Zhang:
Multi-view subspace clustering via consistent and diverse deep latent representations. Inf. Sci. 651: 119719 (2023) - [j64]Kaiqiang Xu, Kewei Tang, Zhixun Su:
Deep multi-view subspace clustering via structure-preserved multi-scale features fusion. Neural Comput. Appl. 35(4): 3203-3219 (2023) - [j63]Huixin Miao, Junqi Lin, Junjie Cao, Xiaoguang He, Zhixun Su, Risheng Liu:
SMPR: Single-stage multi-person pose regression. Pattern Recognit. 143: 109743 (2023) - [j62]Kewei Tang, Kaiqiang Xu, Wei Jiang, Zhixun Su, Xiyan Sun, Xiaonan Luo:
Selecting the Best Part From Multiple Laplacian Autoencoders for Multi-View Subspace Clustering. IEEE Trans. Knowl. Data Eng. 35(7): 7457-7469 (2023) - [c57]Hongyan Wang, Xin Wang, Zhixun Su:
Single Image Dehazing with Deep-Image-Prior Networks. ICIG (3) 2023: 78-90 - [c56]Yanqi Ma, Ziyu Yue, Youwei Wang, Risheng Liu, Zhixun Su, Junjie Cao:
LAPRNet: Lightweight Airborne Particle Removal Network for LiDAR Point Clouds. PSIVT 2023: 287-301 - [i16]Cheng Yang, Lijing Liang, Zhixun Su:
Real-World Denoising via Diffusion Model. CoRR abs/2305.04457 (2023) - [i15]Liyan Wang, Qinyu Yang, Cong Wang, Wei Wang, Jinshan Pan, Zhixun Su:
Learning A Coarse-to-Fine Diffusion Transformer for Image Restoration. CoRR abs/2308.08730 (2023) - 2022
- [j61]Junjie Cao, Hairui Zhu, Yunpeng Bai, Jun Zhou, Jinshan Pan, Zhixun Su:
Latent Tangent Space Representation for Normal Estimation. IEEE Trans. Ind. Electron. 69(1): 921-929 (2022) - 2021
- [j60]Haohao Li, Zhixun Su, Huibing Wang, Ximin Liu:
Autoweighted multi-view smooth representation preserve projection for dimensionality reduction. J. Electronic Imaging 30(2): 023022 (2021) - [j59]Rushi Lan, Long Sun, Zhenbing Liu, Huimin Lu, Zhixun Su, Cheng Pang, Xiaonan Luo:
Cascading and Enhanced Residual Networks for Accurate Single-Image Super-Resolution. IEEE Trans. Cybern. 51(1): 115-125 (2021) - [j58]Cong Wang, Xiaoying Xing, Guangle Yao, Zhixun Su:
Single image deraining via deep shared pyramid network. Vis. Comput. 37(7): 1851-1865 (2021) - [c55]Zhen Wang, Cong Wang, Zhixun Su, Junyang Chen:
Dense Feature Pyramid Grids Network for Single Image Deraining. ICASSP 2021: 2025-2029 - [c54]Yang Liu, Ziyu Yue, Jinshan Pan, Zhixun Su:
Unpaired Learning for Deep Image Deraining with Rain Direction Regularizer. ICCV 2021: 4733-4741 - 2020
- [j57]Kewei Tang, Liying Cao, Jinhong Li, Xingxuan Peng, Zhixun Su, Xiyan Sun, Xiaonan Luo:
Local Connectivity Enhanced Sparse Representation. IEEE Access 8: 159854-159863 (2020) - [j56]Cong Wang, Yutong Wu, Yu Cai, Guangle Yao, Zhixun Su, Hongyan Wang:
Single image deraining via deep pyramid network with spatial contextual information aggregation. Appl. Intell. 50(5): 1437-1447 (2020) - [j55]Cong Wang, Wanshu Fan, Honghe Zhu, Zhixun Su:
Single image deraining via nonlocal squeeze-and-excitation enhancing network. Appl. Intell. 50(9): 2932-2944 (2020) - [j54]Haohao Li, Zhixun Su, Nannan Li, Ximin Liu, Shengfa Wang, Zhongxuan Luo:
Non-rigid 3D shape retrieval based on multi-scale graphical image and joint Bayesian. Comput. Aided Geom. Des. 81: 101910 (2020) - [j53]Cong Wang, Wanshu Fan, Yutong Wu, Zhixun Su:
Weakly supervised single image dehazing. J. Vis. Commun. Image Represent. 72: 102897 (2020) - [j52]Cong Wang, Man Zhang, Zhixun Su, Guangle Yao:
Densely connected multi-scale de-raining net. Multim. Tools Appl. 79(27-28): 19595-19614 (2020) - [j51]Yang Liu, Jinshan Pan, Zhixun Su, Kewei Tang:
Robust dense correspondence using deep convolutional features. Vis. Comput. 36(4): 827-841 (2020) - [c53]Honghe Zhu, Cong Wang, Yajie Zhang, Zhixun Su, Guohui Zhao:
Physical Model Guided Deep Image Deraining. ICME 2020: 1-6 - [c52]Cong Wang, Xiaoying Xing, Yutong Wu, Zhixun Su, Junyang Chen:
DCSFN: Deep Cross-scale Fusion Network for Single Image Rain Removal. ACM Multimedia 2020: 1643-1651 - [c51]Cong Wang, Yutong Wu, Zhixun Su, Junyang Chen:
Joint Self-Attention and Scale-Aggregation for Self-Calibrated Deraining Network. ACM Multimedia 2020: 2517-2525 - [i14]Honghe Zhu, Cong Wang, Yajie Zhang, Zhixun Su, Guohui Zhao:
Physical Model Guided Deep Image Deraining. CoRR abs/2003.13242 (2020) - [i13]Cong Wang, Xiaoying Xing, Zhixun Su, Junyang Chen:
DCSFN: Deep Cross-scale Fusion Network for Single Image Rain Removal. CoRR abs/2008.00767 (2020) - [i12]Cong Wang, Yutong Wu, Zhixun Su, Junyang Chen:
Joint Self-Attention and Scale-Aggregation for Self-Calibrated Deraining Network. CoRR abs/2008.02763 (2020)
2010 – 2019
- 2019
- [j50]Cong Wang, Man Zhang, Zhixun Su, Guangle Yao, Yan Wang, Xiyan Sun, Xiaonan Luo:
From Coarse to Fine: A Stage-Wise Deraining Net. IEEE Access 7: 84420-84428 (2019) - [j49]Nannan Li, Shengfa Wang, Risheng Liu, Ziqiao Guan, Zhixun Su, Zhongxuan Luo, Hong Qin:
Learning diffusion on global graph: A PDE-directed approach for feature detection on geometric shapes. Comput. Aided Geom. Des. 72: 111-125 (2019) - [j48]Wanshu Fan, Zhixun Su, Hongyan Wang, Nannan Li, Xuan Wang:
Edge-preserving filter with adaptive L0 gradient optimization. Int. J. Distributed Sens. Networks 15(2) (2019) - [j47]Cong Wang, Man Zhang, Jinshan Pan, Zhixun Su:
Single image rain removal via densely connected contextual and semantic correlation net. J. Electronic Imaging 28(3): 033018 (2019) - [j46]Kewei Tang, Zhixun Su, Wei Jiang, Jie Zhang, Xiyan Sun, Xiaonan Luo:
Robust subspace learning-based low-rank representation for manifold clustering. Neural Comput. Appl. 31(11): 7921-7933 (2019) - [j45]Kewei Tang, Zhixun Su, Wei Jiang, Jie Zhang:
Superpixels for large dataset subspace clustering. Neural Comput. Appl. 31(12): 8727-8736 (2019) - [j44]Kewei Tang, Zhixun Su, Jie Zhang, Lihong Cui, Wei Jiang, Xiaonan Luo, Xiyan Sun:
Bayesian rank penalization. Neural Networks 116: 246-256 (2019) - [j43]Kewei Tang, Zhixun Su, Yang Liu, Wei Jiang, Jie Zhang, Xiyan Sun:
Subspace segmentation with a large number of subspaces using infinity norm minimization. Pattern Recognit. 89: 45-54 (2019) - [j42]Cong Wang, Man Zhang, Zhixun Su, Yutong Wu, Guangle Yao, Hongyan Wang:
Learning a multi-level guided residual network for single image deraining. Signal Process. Image Commun. 78: 206-215 (2019) - [c50]Yang Liu, Jinshan Pan, Jimmy S. J. Ren, Zhixun Su:
Learning Deep Priors for Image Dehazing. ICCV 2019: 2492-2500 - [c49]Kewei Tang, Kaiqiang Xu, Zhixun Su, Wei Jiang, Xiaonan Luo, Xiyan Sun:
Structure-Constrained Feature Extraction by Autoencoders for Subspace Clustering. ICCV Workshops 2019: 624-632 - [c48]Cong Wang, Hongyan Wang, Zhixun Su, Yan Yang:
Embedding Non-Local Mean in Squeeze-and-Excitation Network for Single Image Deraining. ICME Workshops 2019: 264-269 - [c47]Haohao Li, Shengfa Wang, Nannan Li, Zhixun Su, Ximin Liu:
Non-Rigid 3D Shape Retrieval Based on Multi-view Metric Learning. ICME Workshops 2019: 441-446 - [c46]Hongyan Wang, Zhixun Su, Songxin Liang:
Structure-Preserving Guided Image Filtering. IScIDE (1) 2019: 114-127 - [c45]Yang Liu, Jinshan Pan, Zhixun Su:
Deep Blind Image Inpainting. IScIDE (1) 2019: 128-141 - [c44]Haohao Li, Yu Cai, Guohui Zhao, Hu Lin, Zhixun Su, Ximin Liu:
Multiview Dimension Reduction Based on Sparsity Preserving Projections. PSIVT 2019: 296-309 - [e1]Chilwoo Lee, Zhixun Su, Akihiro Sugimoto:
Image and Video Technology - 9th Pacific-Rim Symposium, PSIVT 2019, Sydney, NSW, Australia, November 18-22, 2019, Proceedings. Lecture Notes in Computer Science 11854, Springer 2019, ISBN 978-3-030-34878-6 [contents] - [i11]Haohao Li, Shengfa Wang, Nannan Li, Zhixun Su, Ximin Liu:
Non-rigid 3D shape retrieval based on multi-view metric learning. CoRR abs/1904.00765 (2019) - 2018
- [j41]Hongyan Wang, Jin-shan Pan, Zhixun Su, Songxin Liang:
Blind image deblurring using elastic-net based rank prior. Comput. Vis. Image Underst. 168: 157-171 (2018) - [j40]Yiyang Wang, Zhiying Jiang, Zhixun Su:
A Nonuniform Method for Extracting Attractive Structures From Images. Int. J. Grid High Perform. Comput. 10(3): 14-28 (2018) - [j39]Ruru Hao, Zhixun Su:
A patch-based low-rank tensor approximation model for multiframe image denoising. J. Comput. Appl. Math. 329: 125-133 (2018) - [c43]Jiangxin Dong, Jinshan Pan, Deqing Sun, Zhixun Su, Ming-Hsuan Yang:
Learning Data Terms for Non-blind Deblurring. ECCV (11) 2018: 777-792 - [c42]Yimin Huang, Yiyang Wang, Zhixun Su:
Single Image Dehazing Via a Joint Deep Modeling. ICIP 2018: 2840-2844 - [c41]Guangyu Zhong, Yi-Hsuan Tsai, Sifei Liu, Zhixun Su, Ming-Hsuan Yang:
Learning Video-Story Composition via Recurrent Neural Network. WACV 2018: 1727-1735 - [i10]Guangyu Zhong, Yi-Hsuan Tsai, Sifei Liu, Zhixun Su, Ming-Hsuan Yang:
Learning Video-Story Composition via Recurrent Neural Network. CoRR abs/1801.10281 (2018) - 2017
- [j38]Jin-shan Pan, Zhe Hu, Zhixun Su, Ming-Hsuan Yang:
L0-Regularized Intensity and Gradient Prior for Deblurring Text Images and Beyond. IEEE Trans. Pattern Anal. Mach. Intell. 39(2): 342-355 (2017) - [j37]Jiangxin Dong, Jin-shan Pan, Zhixun Su:
Blur kernel estimation via salient edges and low rank prior for blind image deblurring. Signal Process. Image Commun. 58: 134-145 (2017) - [j36]Yiyang Wang, Risheng Liu, Xiaoliang Song, Zhixun Su:
A nonlocal L0 model with regression predictor for saliency detection and extension. Vis. Comput. 33(11): 1467-1482 (2017) - [c40]Jinshan Pan, Jiangxin Dong, Yu-Wing Tai, Zhixun Su, Ming-Hsuan Yang:
Learning Discriminative Data Fitting Functions for Blind Image Deblurring. ICCV 2017: 1077-1085 - [c39]Jiangxin Dong, Jinshan Pan, Zhixun Su, Ming-Hsuan Yang:
Blind Image Deblurring with Outlier Handling. ICCV 2017: 2497-2505 - [c38]Yang Liu, Jinshan Pan, Zhixun Su:
Deep feature matching for dense correspondence. ICIP 2017: 795-799 - [c37]Yiyang Wang, Risheng Liu, Zhixun Su:
Learning an Alternating Bergman Network for Non-convex and Non-smooth Optimization Problems. IScIDE 2017: 11-27 - [c36]Yu Cai, Jinshan Pan, Zhixun Su:
Blind Image Deblurring via Salient Structure Detection and Sparse Representation. PSIVT Workshops 2017: 283-299 - [i9]Yiyang Wang, Risheng Liu, Xiaoliang Song, Zhixun Su:
An Inexact Proximal Alternating Direction Method for Non-convex and Non-smooth Matrix Factorization and Beyond. CoRR abs/1702.08627 (2017) - [i8]Yang Liu, Jinshan Pan, Zhixun Su:
Deep Blind Image Inpainting. CoRR abs/1712.09078 (2017) - 2016
- [j35]Kewei Tang, David B. Dunson, Zhixun Su, Risheng Liu, Jie Zhang, Jiangxin Dong:
Subspace segmentation by dense block and sparse representation. Neural Networks 75: 66-76 (2016) - [j34]Kewei Tang, Jie Zhang, Zhixun Su, Jiangxin Dong:
Bayesian Low-Rank and Sparse Nonlinear Representation for Manifold Clustering. Neural Process. Lett. 44(3): 719-733 (2016) - [j33]Nannan Li, Shengfa Wang, Ming Zhong, Zhixun Su, Hong Qin:
Generalized Local-to-Global Shape Feature Detection Based on Graph Wavelets. IEEE Trans. Vis. Comput. Graph. 22(9): 2094-2106 (2016) - [j32]Guangyu Zhong, Risheng Liu, Junjie Cao, Zhixun Su:
A generalized nonlocal mean framework with object-level cues for saliency detection. Vis. Comput. 32(5): 611-623 (2016) - [j31]Yusong Liu, Zhixun Su, Junjie Cao, Hui Wang:
Harmonic mean normalized Laplace-Beltrami spectral descriptor. Vis. Comput. 32(9): 1097-1108 (2016) - [c35]Yiyang Wang, Risheng Liu, Xiaoliang Song, Zhixun Su:
Linearized Alternating Direction Method with Penalization for Nonconvex and Nonsmooth Optimization. AAAI 2016: 798-804 - [c34]Hongyan Wang, Jin-shan Pan, Zhixun Su, Songxin Liang:
Blind Image Deblurring Using Elastic-Net Based Rank Prior. ACCV Workshops (1) 2016: 3-17 - [c33]Jin-shan Pan, Zhe Hu, Zhixun Su, Ming-Hsuan Yang:
Debluring Low-Resolution Images. ACCV Workshops (1) 2016: 111-127 - [c32]Jiangxin Dong, Risheng Liu, Kewei Tang, Yiyang Wang, Xindong Zhang, Zhixun Su:
Sparse Gradient Pursuit for Robust Visual Analysis. ACCV (1) 2016: 369-384 - [c31]Kewei Tang, Xiaodong Liu, Zhixun Su, Wei Jiang, Jiangxin Dong:
Subspace Learning Based Low-Rank Representation. ACCV (1) 2016: 416-431 - [c30]Jin-shan Pan, Zhe Hu, Zhixun Su, Hsin-Ying Lee, Ming-Hsuan Yang:
Soft-Segmentation Guided Object Motion Deblurring. CVPR 2016: 459-468 - [c29]Jin-shan Pan, Zhouchen Lin, Zhixun Su, Ming-Hsuan Yang:
Robust Kernel Estimation with Outliers Handling for Image Deblurring. CVPR 2016: 2800-2808 - [i7]Risheng Liu, Jing Wang, Yiyang Wang, Zhixun Su, Yu Cai:
Sparse Coding and Counting for Robust Visual Tracking. CoRR abs/1605.08881 (2016) - 2015
- [j30]Shengfa Wang, Nannan Li, Shuai Li, Zhongxuan Luo, Zhixun Su, Hong Qin:
Multi-scale mesh saliency based on low-rank and sparse analysis in shape feature space. Comput. Aided Geom. Des. 35-36: 206-214 (2015) - [j29]Risheng Liu, Guangyu Zhong, Junjie Cao, Zhixun Su:
Diffuse visual attention for saliency detection. J. Electronic Imaging 24(1): 013023 (2015) - [j28]Risheng Liu, Shanshan Bai, Zhixun Su, Changcheng Zhang, Chunhai Sun:
Robust visual tracking via L0 regularized local low-rank feature learning. J. Electronic Imaging 24(3): 033012 (2015) - [c28]Guangyu Zhong, Risheng Liu, Zhixun Su:
Robust visual tracking via discriminative sequential ranking. ICIP 2015: 1354-1358 - [c27]Jing Wang, Yiyang Wang, Risheng Liu, Zhixun Su:
Visual tracking via orthogonal sparse coding. ICIP 2015: 3817-3821 - [c26]Guangyu Zhong, Risheng Liu, Zhixun Su:
Robust visual tracking via discriminative sequential ranking. ICIP 2015: 4942-4946 - 2014
- [j27]Zhiyang Li, Wenyu Qu, Yujie Xu, Junjie Cao, Zhixun Su:
Efficient shape representation and retrieval in large database. Comput. Syst. Sci. Eng. 29(4) (2014) - [j26]Risheng Liu, Wei Jin, Zhixun Su, Changcheng Zhang:
Latent Subspace Projection Pursuit with Online Optimization for Robust Visual Tracking. IEEE Multim. 21(4): 47-55 (2014) - [j25]Changcheng Zhang, Risheng Liu, Tianshuang Qiu, Zhixun Su:
Robust visual tracking via incremental low-rank features learning. Neurocomputing 131: 237-247 (2014) - [j24]Risheng Liu, Zhouchen Lin, Zhixun Su, Junbin Gao:
Linear time Principal Component Pursuit and its extensions using ℓ1 filtering. Neurocomputing 142: 529-541 (2014) - [j23]Shengfa Wang, Yu Cai, Zhiling Yu, Junjie Cao, Zhixun Su:
Normal-controlled coordinates based feature-preserving mesh editing. Multim. Tools Appl. 71(2): 607-622 (2014) - [j22]Risheng Liu, Zhouchen Lin, Zhixun Su:
Learning Markov random walks for robust subspace clustering and estimation. Neural Networks 59: 1-15 (2014) - [j21]Kewei Tang, Risheng Liu, Zhixun Su, Jie Zhang:
Structure-Constrained Low-Rank Representation. IEEE Trans. Neural Networks Learn. Syst. 25(12): 2167-2179 (2014) - [c25]Yiyang Wang, Risheng Liu, Xiaoliang Song, Zhixun Su:
Saliency Detection via Nonlocal L_0 Minimization. ACCV (2) 2014: 521-535 - [c24]Jin-shan Pan, Jongwoo Lim, Zhixun Su, Ming-Hsuan Yang:
L0-Regularized Object Representation for Visual Tracking. BMVC 2014 - [c23]Jin-shan Pan, Zhe Hu, Zhixun Su, Ming-Hsuan Yang:
Deblurring Text Images via L0-Regularized Intensity and Gradient Prior. CVPR 2014: 2901-2908 - [c22]Jin-shan Pan, Zhe Hu, Zhixun Su, Ming-Hsuan Yang:
Deblurring Face Images with Exemplars. ECCV (7) 2014: 47-62 - [c21]Hui Wang, Patricio D. Simari, Zhixun Su, Hao Zhang:
Spectral global intrinsic symmetry invariant functions. Graphics Interface 2014: 209-215 - [c20]Shanshan Bai, Risheng Liu, Zhixun Su, Changcheng Zhang, Wei Jin:
Incremental robust local dictionary learning for visual tracking. ICME 2014: 1-6 - [c19]Wei Jin, Risheng Liu, Zhixun Su, Changcheng Zhang, Shanshan Bai:
Robust visual tracking using latent subspace projection pursuit. ICME 2014: 1-6 - [c18]Jin-shan Pan, Risheng Liu, Zhixun Su, Guili Liu:
Motion blur kernel estimation via salient edges and low rank prior. ICME 2014: 1-6 - 2013
- [j20]Shengfa Wang, Tingbo Hou, Shuai Li, Zhixun Su, Hong Qin:
Hierarchical feature subspace for structure-preserving deformation. Comput. Aided Des. 45(2): 545-550 (2013) - [j19]Risheng Liu, Zhouchen Lin, Wei Zhang, Kewei Tang, Zhixun Su:
Toward designing intelligent PDEs for computer vision: An optimal control approach. Image Vis. Comput. 31(1): 43-56 (2013) - [j18]Jin-shan Pan, Risheng Liu, Zhixun Su, Xianfeng Gu:
Kernel estimation from salient structure for robust motion deblurring. Signal Process. Image Commun. 28(9): 1156-1170 (2013) - [j17]Jin-shan Pan, Zhixun Su:
Fast l0 -Regularized Kernel Estimation for Robust Motion Deblurring. IEEE Signal Process. Lett. 20(9): 841-844 (2013) - [j16]Tingbo Hou, Shuai Li, Zhixun Su, Hong Qin, Shengfa Wang:
Anisotropic Elliptic PDEs for Feature Classification. IEEE Trans. Vis. Comput. Graph. 19(10): 1606-1618 (2013) - [c17]Risheng Liu, Zhouchen Lin, Zhixun Su:
Linearized Alternating Direction Method with Parallel Splitting and Adaptive Penalty for Separable Convex Programs in Machine Learning. ACML 2013: 116-132 - [c16]