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Zhao Zhang 0001
Person information
- unicode name: 張召
- affiliation: Hefei University of Technology, School of Computer Science and Information Engineering (School of Artificial Intelligence), China
- affiliation (2013-2018): Soochow University, School of Computer Science and Technology, Suzhou, China
- affiliation (PhD 2013): City University of Hong Kong, Department of Electronic Engineering, Kowloon, Hong Kong
Other persons with the same name
- Zhao Zhang — disambiguation page
- Zhao Zhang 0002 — Zhejiang Normal University, College of Mathematics Physics and Information Engineering, Jinhua, China (and 1 more)
- Zhao Zhang 0003 — Northeastern University, School of Information Science and Engineering, Shenyang, China
- Zhao Zhang 0004 — Chinese Academy of Sciences, Institute of Semiconductors, Beijing, China
- Zhao Zhang 0005 — Nanjing Forestry University, Department of Computer Science and Technology, China
- Zhao Zhang 0006 — Heriot-Watt University, Edinburgh, UK (and 1 more)
- Zhao Zhang 0007 — University of Texas at Austin, Texas Advanced Computing Center, Austin, TX, USA (and 2 more)
- Zhao Zhang 0008 — University of Illinois at Chicago, IL, USA
- Zhao Zhang 0009 — Guilin University of Electronic Technology, Guangxi Key Laboratory of Trusted Software, China (and 1 more)
- Zhao Zhang 0010 — Iowa State University, Department of Electrical and Computer Engineering, Ames, IA, USA (and 1 more)
- Zhao Zhang 0011 — Chinese Academy of Sciences, Institute of Computing Technology, Key Lab of Intelligent Information Processing, Beijing, China
- Zhao Zhang 0012 — University of Texas, Health Science Center, San Antonio, TX, USA (and 1 more)
- Zhao Zhang 0013 — Dalian University of Technology, Faculty of Vehicle Engineering and Mechanics, Department of Engineering Mechanics, China
- Zhao Zhang 0014 — Beihang University, School of Transportation Science and Engineering, Beijing, China (and 2 more)
- Zhao Zhang 0015 — Nanchang Hangkong University, School of Information Technology, China
- Zhao Zhang 0016 — North Dakota State University, Department of Agricultural and Biosystems Engineering, Fargo, ND, USA (and 1 more)
- Zhao Zhang 0017 — Tianjin University, School of Precision Instrument and Opto-electronics Engineering, China
- Zhao Zhang 0018 — Nankai University, College of Computer Science, TKLNDST, Tianjin, China (and 1 more)
- Zhao Zhang 0019 — Qilu University of Technology (Shandong Academy of Sciences), School of Electrical Engineering and Automation, Jinan, China
- Zhao Zhang 0020 — Nanjing University of Aeronautics and Astronautics, College of Automation Engineering, China
- Zhao Zhang 0021 — PLA Information Engineering University, Zhengzhou Information Science and Technology Institute, China
- Zhao Zhang 0022 — University of Lorraine, CNRS Loria, Nancy, France
- Zhao Zhang 0023 — Beijing University of Posts and Telecommunication, School of Electronic Engineering, China
- Zhao Zhang 0024 — Tsinghua University, Department of Automation, Beijing, China
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2020 – today
- 2025
- [j116]Zhichao Zuo, Zhao Zhang, Yan Luo, Yang Zhao, Haijun Zhang, Yi Yang, Meng Wang:
Cut-and-Paste: Subject-driven video editing with attention control. Neural Networks 181: 106818 (2025) - 2024
- [j115]Zhao Zhang, Yong Zhang, Hao Li, Shenbo Liu, Wei Chen, Zhigang Zhang, Lijun Tang:
Federated continual representation learning for evolutionary distributed intrusion detection in Industrial Internet of Things. Eng. Appl. Artif. Intell. 135: 108826 (2024) - [j114]Ran Chen, Hao Shen, Zhong-Qiu Zhao, Yi Yang, Zhao Zhang:
Global routing between capsules. Pattern Recognit. 148: 110142 (2024) - [j113]Hao Lin, Jiaxing Qiu, Hongyi Wang, Zhenhua Li, Liangyi Gong, Di Gao, Yunhao Liu, Feng Qian, Zhao Zhang, Ping Yang, Tianyin Xu:
Take the Blue Pill: Pursuing Mobile App Testing Fidelity, Efficiency, and Accessibility with Virtual Device Farms. GetMobile Mob. Comput. Commun. 28(1): 5-9 (2024) - [j112]Zhao Zhang, Huan Zheng, Richang Hong, Jicong Fan, Yi Yang, Shuicheng Yan:
FRC-Net: A Simple Yet Effective Architecture for Low-Light Image Enhancement. IEEE Trans. Consumer Electron. 70(1): 3332-3340 (2024) - [j111]Zhicheng Ji, Huan Zheng, Zhao Zhang, Qiaolin Ye, Yang Zhao, Mingliang Xu:
Multi-Scale Interaction Network for Low-Light Stereo Image Enhancement. IEEE Trans. Consumer Electron. 70(1): 3626-3634 (2024) - [j110]Yang Zhao, Huaen Li, Zhao Zhang, Yuan Chen, Qing Liu, Xiaojuan Zhang:
Regional Traditional Painting Generation Based on Controllable Disentanglement Model. IEEE Trans. Circuits Syst. Video Technol. 34(8): 6913-6925 (2024) - [j109]Xu Liu, Yang Zhao, Kaichen Chi, Zhao Zhang, Yanxiang Chen, Wei Jia:
Toward Individual Tone Preference in Underwater Image Enhancement. IEEE Trans. Geosci. Remote. Sens. 62: 1-11 (2024) - [j108]Han Yan, Haijun Zhang, Zhao Zhang:
Learning to Disentangle the Colors, Textures, and Shapes of Fashion Items: A Unified Framework. IEEE Trans. Multim. 26: 5615-5629 (2024) - [j107]Junhu Wang, Yanyan Wei, Zhao Zhang, Jicong Fan, Yang Zhao, Yi Yang, Meng Wang:
Progressive Stereo Image Dehazing Network via Cross-View Region Interaction. IEEE Trans. Multim. 26: 7490-7502 (2024) - [j106]Jie Wen, Shijie Deng, Lunke Fei, Zheng Zhang, Bob Zhang, Zhao Zhang, Yong Xu:
Discriminative Regression With Adaptive Graph Diffusion. IEEE Trans. Neural Networks Learn. Syst. 35(2): 1797-1809 (2024) - [j105]Dongliang Zhou, Haijun Zhang, Kai Yang, Linlin Liu, Han Yan, Xiaofei Xu, Zhao Zhang, Shuicheng Yan:
Learning to Synthesize Compatible Fashion Items Using Semantic Alignment and Collocation Classification: An Outfit Generation Framework. IEEE Trans. Neural Networks Learn. Syst. 35(4): 5226-5240 (2024) - [j104]Linlin Liu, Haijun Zhang, Qun Li, Jianghong Ma, Zhao Zhang:
Collocated Clothing Synthesis with GANs Aided by Textual Information: A Multi-Modal Framework. ACM Trans. Multim. Comput. Commun. Appl. 20(1): 26:1-26:25 (2024) - [j103]Yu Liu, Mingbo Zhao, Zhao Zhang, Yuping Liu, Shuicheng Yan:
Arbitrary Virtual Try-on Network: Characteristics Preservation and Tradeoff between Body and Clothing. ACM Trans. Multim. Comput. Commun. Appl. 20(5): 123:1-123:23 (2024) - [c120]Shanding Diao, Yuan Chen, Yang Zhao, Wei Jia, Zhao Zhang, Ronggang Wang:
Stereo Vision Conversion from Planar Videos Based on Temporal Multiplane Images. AAAI 2024: 1519-1527 - [c119]Dazhi Fu, Zhao Zhang, Jicong Fan:
Dense Projection for Anomaly Detection. AAAI 2024: 8398-8408 - [c118]Zheng Chen, Zongwei Wu, Eduard Zamfir, Kai Zhang, Yulun Zhang, Radu Timofte, Xiaokang Yang, Hongyuan Yu, Cheng Wan, Yuxin Hong, Zhijuan Huang, Yajun Zou, Yuan Huang, Jiamin Lin, Bingnan Han, Xianyu Guan, Yongsheng Yu, Daoan Zhang, Xuanwu Yin, Kunlong Zuo, Jinhua Hao, Kai Zhao, Kun Yuan, Ming Sun, Chao Zhou, Hongyu An, Xinfeng Zhang, Zhiyuan Song, Ziyue Dong, Qing Zhao, Xiaogang Xu, Pengxu Wei, Zhi-Chao Dou, Gui-Ling Wang, Chih-Chung Hsu, Chia-Ming Lee, Yi-Shiuan Chou, Cansu Korkmaz, A. Murat Tekalp, Yubin Wei, Xiaole Yan, Binren Li, Haonan Chen, Siqi Zhang, Sihan Chen, Amogh Joshi, Nikhil Akalwadi, Sampada Malagi, Palani Yashaswini, Chaitra Desai, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi, Anjali Sarvaiya, Pooja Choksy, Jagrit Joshi, Shubh Kawa, Kishor P. Upla, Sushrut Patwardhan, Raghavendra Ramachandra, Sadat Hossain, Geongi Park, S. M. Nadim Uddin, Hao Xu, Yanhui Guo, Aman Urumbekov, Xingzhuo Yan, Wei Hao, Minghan Fu, Isaac Orais, Samuel Smith, Ying Liu, Wangwang Jia, Qisheng Xu, Kele Xu, Weijun Yuan, Zhan Li, Wenqing Kuang, Ruijin Guan, Ruting Deng, Zhao Zhang, Bo Wang, Suiyi Zhao, Yan Luo, Yanyan Wei, Asif Hussain Khan, Christian Micheloni, Niki Martinel:
NTIRE 2024 Challenge on Image Super-Resolution (×4): Methods and Results. CVPR Workshops 2024: 6108-6132 - [c117]Codruta O. Ancuti, Cosmin Ancuti, Florin-Alexandru Vasluianu, Radu Timofte, Yidi Liu, Xingbo Wang, Yurui Zhu, Gege Shi, Xin Lu, Xueyang Fu, Zheng-Jun Zha, Wei Dong, Han Zhou, Ruiyi Wang, Xiaohong Liu, Guangtao Zhai, Jun Chen, Wei Song, Yichang Gao, Jiahao Xiong, Hualiang Lin, Xianger Li, Dong Li, Mohab Kishawy, Ruibin Li, Seyed Amirreza Mousavi, Rana Rauf, Yangyi Liu, Huan Liu, Mingsheng Tu, Kele Xu, JiaWen Chen, Qisheng Xu, Tao Sun, Jin Guo, Ben Shao, Tianli Liu, Mohao Wu, Xingzhuo Yan, Minghan Fu, Lehan Yang, Xin Lin, Lu Qi, Jincen Song, Xiaoqian Hu, Linwei Tao, Hongming Chen, Xiang Chen, Chuanlong Xie, Zhao Zhang, Junhu Wang, Yanyan Wei, Suiyi Zhao, Shengeng Tang, Sampada Malagi, Amogh Joshi, Nikhil Akalwadi, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudenagudi, Wenjing Jiang, Jagadeesh Kalyanshetti, Vijayalaxmi Ashok Aralikatti, Palani Yashaswini, Nitish Upasi, Dikshit Hegde, Ujwala Patil, Sujata C:
NTIRE 2024 Dense and Non-Homogeneous Dehazing Challenge Report. CVPR Workshops 2024: 6453-6468 - [c116]Xiaoning Liu, Zongwei Wu, Ao Li, Florin-Alexandru Vasluianu, Yulun Zhang, Shuhang Gu, Le Zhang, Ce Zhu, Radu Timofte, Zhi Jin, Hongjun Wu, Chenxi Wang, Haitao Ling, Yuanhao Cai, Hao Bian, Yuxin Zheng, Jing Lin, Alan L. Yuille, Ben Shao, Jin Guo, Tianli Liu, Mohao Wu, Yixu Feng, Shuo Hou, Haotian Lin, Yu Zhu, Peng Wu, Wei Dong, Jinqiu Sun, Yanning Zhang, Qingsen Yan, Wenbin Zou, Weipeng Yang, Yunxiang Li, Qiaomu Wei, Tian Ye, Sixiang Chen, Zhao Zhang, Suiyi Zhao, Bo Wang, Yan Luo, Zhichao Zuo, Mingshen Wang, Junhu Wang, Yanyan Wei, Xiaopeng Sun, Yu Gao, Jiancheng Huang, Hongming Chen, Xiang Chen, Hui Tang, Yuanbin Chen, Yuanbo Zhou, Xinwei Dai, Xintao Qiu, Wei Deng, Qinquan Gao, Tong Tong, Mingjia Li, Jin Hu, Xinyu He, Xiaojie Guo, Sabarinathan, K. Uma, A. Sasithradevi, B. Sathya Bama, S. Mohamed Mansoor Roomi, V. Srivatsav, Jinjuan Wang, Long Sun, Qiuying Chen, Jiahong Shao, Yizhi Zhang, Marcos V. Conde, Daniel Feijoo, Juan C. Benito, Alvaro García, Jaeho Lee, Seongwan Kim, Sharif S. M. A, Nodirkhuja Khujaev, Roman Tsoy, Ali Murtaza, Uswah Khairuddin, Ahmad 'Athif Mohd Faudzi, Sampada Malagi, Amogh Joshi, Nikhil Akalwadi, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudenagudi, Wenyi Lian, Wenjing Lian, Jagadeesh Kalyanshetti, Vijayalaxmi Ashok Aralikatti, Palani Yashaswini, Nitish Upasi, Dikshit Hegde, Ujwala Patil, Sujata C, Xingzhuo Yan, Wei Hao, Minghan Fu, Pooja Choksy, Anjali Sarvaiya, Kishor P. Upla, Kiran B. Raja, Hailong Yan, Yunkai Zhang, Baiang Li, Jingyi Zhang, Huan Zheng:
NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results. CVPR Workshops 2024: 6571-6594 - [c115]Kangzhe Liu, Jianghong Ma, Shanshan Feng, Haijun Zhang, Zhao Zhang:
DRGame: Diversified Recommendation for Multi-category Video Games with Balanced Implicit Preferences. DASFAA (7) 2024: 254-263 - [c114]Jicong Fan, Rui Chen, Zhao Zhang, Chris Ding:
Neuron-Enhanced AutoEncoder Matrix Completion and Collaborative Filtering: Theory and Practice. ICLR 2024 - [c113]Bo Wang, Zhao Zhang, Mingbo Zhao, Xiaojie Jin, Mingliang Xu, Meng Wang:
OSIC: A New One-Stage Image Captioner Coined. IJCAI 2024: 1353-1361 - [c112]Panjun Duan, Yang Zhao, Yuan Chen, Wei Jia, Zhao Zhang, Ronggang Wang:
Blind Video Bit-Depth Expansion. ACM Multimedia 2024: 9904-9912 - [i56]Pengcheng Zhao, Yanxiang Chen, Yang Zhao, Wei Jia, Zhao Zhang, Ronggang Wang, Richang Hong:
Audio-Infused Automatic Image Colorization by Exploiting Audio Scene Semantics. CoRR abs/2401.13270 (2024) - [i55]Baiang Li, Zhao Zhang, Huan Zheng, Xiaogang Xu, Yanyan Wei, Jingyi Zhang, Jicong Fan, Meng Wang:
Diving Deep into Regions: Exploiting Regional Information Transformer for Single Image Deraining. CoRR abs/2402.16033 (2024) - [i54]Howard Zhang, Yunhao Ba, Ethan Yang, Rishi Upadhyay, Alex Wong, Achuta Kadambi, Yun Guo, Xueyao Xiao, Xiaoxiong Wang, Yi Li, Yi Chang, Luxin Yan, Chaochao Zheng, Luping Wang, Bin Liu, Sunder Ali Khowaja, Jiseok Yoon, Ikhyun Lee, Zhao Zhang, Yanyan Wei, Jiahuan Ren, Suiyi Zhao, Huan Zheng:
GT-Rain Single Image Deraining Challenge Report. CoRR abs/2403.12327 (2024) - [i53]Zheng Chen, Zongwei Wu, Eduard Zamfir, Kai Zhang, Yulun Zhang, Radu Timofte, Xiaokang Yang, Hongyuan Yu, Cheng Wan, Yuxin Hong, Zhijuan Huang, Yajun Zou, Yuan Huang, Jiamin Lin, Bingnan Han, Xianyu Guan, Yongsheng Yu, Daoan Zhang, Xuanwu Yin, Kunlong Zuo, Jinhua Hao, Kai Zhao, Kun Yuan, Ming Sun, Chao Zhou, Hongyu An, Xinfeng Zhang, Zhiyuan Song, Ziyue Dong, Qing Zhao, Xiaogang Xu, Pengxu Wei, Zhi-Chao Dou, Gui-Ling Wang, Chih-Chung Hsu, Chia-Ming Lee, Yi-Shiuan Chou, Cansu Korkmaz, A. Murat Tekalp, Yubin Wei, Xiaole Yan, Binren Li, Haonan Chen, Siqi Zhang, Sihan Chen, Amogh Joshi, Nikhil Akalwadi, Sampada Malagi, Palani Yashaswini, Chaitra Desai, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi, Anjali Sarvaiya, Pooja Choksy, Jagrit Joshi, Shubh Kawa, Kishor P. Upla, Sushrut Patwardhan, Raghavendra Ramachandra, Sadat Hossain, Geongi Park, S. M. Nadim Uddin, Hao Xu, Yanhui Guo, Aman Urumbekov, Xingzhuo Yan, Wei Hao, Minghan Fu, Isaac Orais, Samuel Smith, Ying Liu, Wangwang Jia, Qisheng Xu, Kele Xu, Weijun Yuan, Zhan Li, Wenqing Kuang, Ruijin Guan, Ruting Deng, Zhao Zhang, Bo Wang, Suiyi Zhao, Yan Luo, Yanyan Wei, Asif Hussain Khan, Christian Micheloni, Niki Martinel:
NTIRE 2024 Challenge on Image Super-Resolution (⨉4): Methods and Results. CoRR abs/2404.09790 (2024) - [i52]Xiaoning Liu, Zongwei Wu, Ao Li, Florin-Alexandru Vasluianu, Yulun Zhang, Shuhang Gu, Le Zhang, Ce Zhu, Radu Timofte, Zhi Jin, Hongjun Wu, Chenxi Wang, Haitao Ling, Yuanhao Cai, Hao Bian, Yuxin Zheng, Jing Lin, Alan L. Yuille, Ben Shao, Jin Guo, Tianli Liu, Mohao Wu, Yixu Feng, Shuo Hou, Haotian Lin, Yu Zhu, Peng Wu, Wei Dong, Jinqiu Sun, Yanning Zhang, Qingsen Yan, Wenbin Zou, Weipeng Yang, Yunxiang Li, Qiaomu Wei, Tian Ye, Sixiang Chen, Zhao Zhang, Suiyi Zhao, Bo Wang, Yan Luo, Zhichao Zuo, Mingshen Wang, Junhu Wang, Yanyan Wei, Xiaopeng Sun, Yu Gao, Jiancheng Huang, Hongming Chen, Xiang Chen, Hui Tang, Yuanbin Chen, Yuanbo Zhou, Xinwei Dai, Xintao Qiu, Wei Deng, Qinquan Gao, Tong Tong, Mingjia Li, Jin Hu, Xinyu He, Xiaojie Guo, Sabarinathan, K. Uma, A. Sasithradevi, B. Sathya Bama, S. Mohamed Mansoor Roomi, V. Srivatsav, Jinjuan Wang, Long Sun, Qiuying Chen, Jiahong Shao, Yizhi Zhang, Marcos V. Conde, Daniel Feijoo, Juan C. Benito, Alvaro García, Jaeho Lee, Seongwan Kim, Sharif S. M. A, Nodirkhuja Khujaev, Roman Tsoy, Ali Murtaza, Uswah Khairuddin, Ahmad 'Athif Mohd Faudzi, Sampada Malagi, Amogh Joshi, Nikhil Akalwadi, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudenagudi, Wenyi Lian, Wenjing Lian, Jagadeesh Kalyanshetti, Vijayalaxmi Ashok Aralikatti, Palani Yashaswini, Nitish Upasi, Dikshit Hegde, Ujwala Patil, Sujata C:
NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results. CoRR abs/2404.14248 (2024) - [i51]Yuekun Dai, Dafeng Zhang, Xiaoming Li, Zongsheng Yue, Chongyi Li, Shangchen Zhou, Ruicheng Feng, Peiqing Yang, Zhezhu Jin, Guanqun Liu, Chen Change Loy, Lize Zhang, Shuai Liu, Chaoyu Feng, Luyang Wang, Shuan Chen, Guangqi Shao, Xiaotao Wang, Lei Lei, Qirui Yang, Qihua Cheng, Zhiqiang Xu, Yihao Liu, Huanjing Yue, Jingyu Yang, Florin-Alexandru Vasluianu, Zongwei Wu, George Ciubotariu, Radu Timofte, Zhao Zhang, Suiyi Zhao, Bo Wang, Zhichao Zuo, Yanyan Wei, Kuppa Sai Sri Teja, Jayakar Reddy A, Girish Rongali, Kaushik Mitra, Zhihao Ma, Yongxu Liu, Wanying Zhang, Wei Shang, Yuhong He, Long Peng, Zhongxin Yu, Shaofei Luo, Jian Wang, Yuqi Miao, Baiang Li, Gang Wei, Rakshank Verma, Ritik Maheshwari, Rahul Tekchandani, Praful Hambarde, Satya Narayan Tazi, Santosh Kumar Vipparthi, Subrahmanyam Murala, Haopeng Zhang, Yingli Hou, Mingde Yao, Levin M. S, Aniruth Sundararajan, Hari Kumar A:
MIPI 2024 Challenge on Nighttime Flare Removal: Methods and Results. CoRR abs/2404.19534 (2024) - [i50]Zejun Gu, Zhong-Qiu Zhao, Henghui Ding, Hao Shen, Zhao Zhang, De-Shuang Huang:
Cross-Domain Knowledge Distillation for Low-Resolution Human Pose Estimation. CoRR abs/2405.11448 (2024) - [i49]Zejun Gu, Zhong-Qiu Zhao, Hao Shen, Zhao Zhang:
Focus on Low-Resolution Information: Multi-Granular Information-Lossless Model for Low-Resolution Human Pose Estimation. CoRR abs/2405.12247 (2024) - [i48]Baiang Li, Sizhuo Ma, Yanhong Zeng, Xiaogang Xu, Youqing Fang, Zhao Zhang, Jian Wang, Kai Chen:
Sagiri: Low Dynamic Range Image Enhancement with Generative Diffusion Prior. CoRR abs/2406.09389 (2024) - 2023
- [j102]Hongwei Yin, Guixiang Wang, Wenjun Hu, Zhao Zhang:
Fine-grained multi-view clustering with robust multi-prototypes representation. Appl. Intell. 53(7): 8402-8420 (2023) - [j101]Jiahuan Ren, Zhao Zhang, Jicong Fan, Haijun Zhang, Mingliang Xu, Meng Wang:
Robust and fast low-rank deep convolutional feature recovery: toward information retention and accelerated convergence. Knowl. Inf. Syst. 65(3): 1287-1315 (2023) - [j100]Yangcheng Gao, Zhao Zhang, Haijun Zhang, Mingbo Zhao, Yi Yang, Meng Wang:
Fast data-free model compression via dictionary-pair reconstruction. Knowl. Inf. Syst. 65(8): 3435-3461 (2023) - [j99]Mingbo Zhao, Zhou Wu, Zhao Zhang, Tianyong Hao, Zhiwei Meng, Reza Malekian:
Special issue on neural computing and applications 2020. Neural Comput. Appl. 35(17): 12243-12245 (2023) - [j98]Yan Luo, Yangcheng Gao, Zhao Zhang, Jicong Fan, Haijun Zhang, Mingliang Xu:
Long-range zero-shot generative deep network quantization. Neural Networks 166: 683-691 (2023) - [j97]Zhao Zhang, Yanyan Wei, Haijun Zhang, Yi Yang, Shuicheng Yan, Meng Wang:
Data-Driven single image deraining: A Comprehensive review and new perspectives. Pattern Recognit. 143: 109740 (2023) - [j96]Lei Ma, Yuhui Zheng, Zhao Zhang, Yazhou Yao, Xijian Fan, Qiaolin Ye:
Motion Stimulation for Compositional Action Recognition. IEEE Trans. Circuits Syst. Video Technol. 33(5): 2061-2074 (2023) - [j95]Jicong Fan, Lijun Ding, Chengrun Yang, Zhao Zhang, Madeleine Udell:
Euclidean-Norm-Induced Schatten-p Quasi-Norm Regularization for Low-Rank Tensor Completion and Tensor Robust Principal Component Analysis. Trans. Mach. Learn. Res. 2023 (2023) - [j94]Rui Gao, Xingsong Hou, Jie Qin, Yuming Shen, Yang Long, Li Liu, Zhao Zhang, Ling Shao:
Visual-Semantic Aligned Bidirectional Network for Zero-Shot Learning. IEEE Trans. Multim. 25: 1649-1664 (2023) - [j93]Han Yan, Haijun Zhang, Linlin Liu, Dongliang Zhou, Xiaofei Xu, Zhao Zhang, Shuicheng Yan:
Toward Intelligent Design: An AI-Based Fashion Designer Using Generative Adversarial Networks Aided by Sketch and Rendering Generators. IEEE Trans. Multim. 25: 2323-2338 (2023) - [j92]Jie Wen, Zheng Zhang, Lunke Fei, Bob Zhang, Yong Xu, Zhao Zhang, Jinxing Li:
A Survey on Incomplete Multiview Clustering. IEEE Trans. Syst. Man Cybern. Syst. 53(2): 1136-1149 (2023) - [c111]Longguang Wang, Yulan Guo, Yingqian Wang, Juncheng Li, Shuhang Gu, Radu Timofte, Ming Cheng, Haoyu Ma, Qiufang Ma, Xiaopeng Sun, Shijie Zhao, Xuhan Sheng, Yukang Ding, Ming Sun, Xing Wen, Dafeng Zhang, Jia Li, Fan Wang, Zheng Xie, Zongyao He, Zidian Qiu, Zilin Pan, Zhihao Zhan, Xingyuan Xian, Zhi Jin, Yuanbo Zhou, Wei Deng, Ruofeng Nie, Jiajun Zhang, Qinquan Gao, Tong Tong, Kexin Zhang, Junpei Zhang, Rui Peng, Yanbiao Ma, Licheng Jiao, Haoran Bai, Lingshun Kong, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Pu Cao, Tianrui Huang, Lu Yang, Qing Song, Bingxin Chen, Chunhua He, Meiyun Chen, Zijie Guo, Shaojuan Luo, Chengzhi Cao, Kunyu Wang, Fanrui Zhang, Qiang Zhang, Nancy Mehta, Subrahmanyam Murala, Akshay Dudhane, Yujin Wang, Lingen Li, Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He, Junyang Chen, Hao Li, Yukai Shi, Zhijing Yang, Wenbin Zou, Yunchen Zhang, Mingchao Jiang, Zhongxin Yu, Ming Tan, Hongxia Gao, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Jingxiang Chen, Bo Yang, XiSheryl Zhang, Chenghua Li, Weijun Yuan, Zhan Li, Ruting Deng, Jintao Zeng, Pulkit Mahajan, Sahaj Mistry, Shreyas Chatterjee, Vinit Jakhetiya, Badri N. Subudhi, Sunil Prasad Jaiswal, Zhao Zhang, Huan Zheng, Suiyi Zhao, Yangcheng Gao, Yanyan Wei, Bo Wang, Gen Li, Aijin Li, Lei Sun, Ke Chen, Congling Tang, Yunzhe Li, Jun Chen, Yuan-Chun Chiang, Yi-Chung Chen, Zhi-Kai Huang, Hao-Hsiang Yang, I-Hsiang Chen, Sy-Yen Kuo, Yiheng Wang, Gang Zhu, Xingyi Yang, Songhua Liu, Yongcheng Jing, Xingyu Hu, Jianwen Song, Changming Sun, Arcot Sowmya, Seung Ho Park, Xiaoyan Lei, Jingchao Wang, Chenbo Zhai, Yufei Zhang, Weifeng Cao, Wenlong Zhang:
NTIRE 2023 Challenge on Stereo Image Super-Resolution: Methods and Results. CVPR Workshops 2023: 1346-1372 - [c110]Xiaoyang Kang, Xianhui Lin, Kai Zhang, Zheng Hui, Wangmeng Xiang, Jun-Yan He, Xiaoming Li, Peiran Ren, Xuansong Xie, Radu Timofte, Yixin Yang, Jinshan Pan, Zhong Zheng, Peng Qiyan, Jiangxin Zhang, Jinhui Dong, Jinjing Tan, Chi-Chen Lin, Lin Qipei Li, Qirong Liang, Ruipeng Gang, Xiaofeng Liu, Shuang Feng, Shuai Liu, Hao Wang, Chaoyu Feng, Furui Bai, Yuqian Zhang, Guangqi Shao, Xiaotao Wang, Lei Lei, Siqi Chen, Yu Zhang, Hanning Xu, Zheyuan Liu, Zhao Zhang, Yan Luo, Zhichao Zuo:
NTIRE 2023 Video Colorization Challenge. CVPR Workshops 2023: 1570-1581 - [c109]Florin-Alexandru Vasluianu, Tim Seizinger, Radu Timofte, Shuhao Cui, Junshi Huang, Shuman Tian, Mingyuan Fan, Jiaqi Zhang, Li Zhu, Xiaoming Wei, Xiaolin Wei, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Xiaoyi Dong, Xi Sheryl Zhang, Chenghua Li, Cong Leng, Woon-Ha Yeo, Wang-Taek Oh, Yeoreum Lee, Han-Cheol Ryu, Jinting Luo, Chengzhi Jiang, Mingyan Han, Qi Wu, Wenjie Lin, Lei Yu, Xinpeng Li, Ting Jiang, Haoqiang Fan, Shuaicheng Liu, Shuning Xu, Binbin Song, Xiangyu Chen, Shile Zhang, Jiantao Zhou, Zhao Zhang, Suiyi Zhao, Huan Zheng, Yangcheng Gao, Yanyan Wei, Bo Wang, Jiahuan Ren, Yan Luo, Yuki Kondo, Riku Miyata, Fuma Yasue, Taito Naruki, Norimichi Ukita, Hua-En Chang, Hao-Hsiang Yang, Yi-Chung Chen, Yuan-Chun Chiang, Zhi-Kai Huang, Wei-Ting Chen, I-Hsiang Chen, Chia-Hsuan Hsieh, Sy-Yen Kuo, Xianwei Li, Huiyuan Fu, Chunlin Liu, Huadong Ma, Binglan Fu, Huiming He, Mengjia Wang, Wenxuan She, Yu Liu, Sabari Nathan, Priya Kansal, Zhongjian Zhang, Huabin Yang, Yan Wang, Yanru Zhang, Shruti S. Phutke, Ashutosh Kulkarni, Md Raqib Khan, Subrahmanyam Murala, Santosh Kumar Vipparthi, Heng Ye, Zixi Liu, Xingyi Yang, Songhua Liu, Yinwei Wu, Yongcheng Jing, Qianhao Yu, Naishan Zheng, Jie Huang, Yuhang Long, Mingde Yao, Feng Zhao, Bowen Zhao, Nan Ye, Ning Shen, Yanpeng Cao, Tong Xiong, Weiran Xia, Dingwen Li, Shuchen Xia:
NTIRE 2023 Image Shadow Removal Challenge Report. CVPR Workshops 2023: 1788-1807 - [c108]Codruta O. Ancuti, Cosmin Ancuti, Florin-Alexandru Vasluianu, Radu Timofte, Han Zhou, Wei Dong, Yangyi Liu, Jun Chen, Huan Liu, Liangyan Li, Zijun Wu, Yubo Dong, Yuyan Li, Tian Qiu, Yu He, Yonghong Lu, Yinwei Wu, Zhenxiang Jiang, Songhua Liu, Xingyi Yang, Yongcheng Jing, Bilel Benjdira, Anas M. Ali, Anis Koubaa, Hao-Hsiang Yang, I-Hsiang Chen, Wei-Ting Chen, Zhi-Kai Huang, Yi-Chung Chen, Chia-Hsuan Hsieh, Hua-En Chang, Yuan-Chun Chiang, Sy-Yen Kuo, Yu Guo, Yuan Gao, Ryan Wen Liu, Yuxu Lu, Jingxiang Qu, Shengfeng He, Wenqi Ren, Trung Hoang, Haichuan Zhang, Amirsaeed Yazdani, Vishal Monga, Lehan Yang, Alex Jiahao Wu, Tiancheng Mai, Xiaofeng Cong, Xuemeng Yin, Xuefei Yin, Hazim Emad, Ahmed Abdallah, Yahya Yasser, Dalia Elshahat, Esraa Elbaz, Zhan Li, Wenqing Kuang, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Zhao Zhang, Yanyan Wei, Junhu Wang, Suiyi Zhao, Huan Zheng, Jin Guo, Yangfan Sun, Tianli Liu, Dejun Hao, Kui Jiang, Anjali Sarvaiya, Kalpesh Prajapati, Ratnadeep Patra, Pragnesh Barik, Chaitanya Rathod, Kishor P. Upla, Kiran B. Raja, Raghavendra Ramachandra, Christoph Busch:
NTIRE 2023 HR NonHomogeneous Dehazing Challenge Report. CVPR Workshops 2023: 1808-1825 - [c107]Yulun Zhang, Kai Zhang, Zheng Chen, Yawei Li, Radu Timofte, Junpei Zhang, Kexin Zhang, Rui Peng, Yanbiao Ma, Licheng Jia, Huaibo Huang, Xiaoqiang Zhou, Yuang Ai, Ran He, Yajun Qiu, Qiang Zhu, Pengfei Li, Qianhui Li, Shuyuan Zhu, Dafeng Zhang, Jia Li, Fan Wang, Chunmiao Li, TaeHyung Kim, Jungkeong Kil, Eon Kim, Yeonseung Yu, Beomyeol Lee, Subin Lee, Seokjae Lim, Somi Chae, Heungjun Choi, Zhi-Kai Huang, YiChung Chen, Yuan-Chun Chiang, Hao-Hsiang Yang, Wei-Ting Chen, Hua-En Chang, I-Hsiang Chen, Chia-Hsuan Hsieh, Sy-Yen Kuo, Ui-Jin Choi, Marcos V. Conde, Sunder Ali Khowaja, Jiseok Yoon, Ik Hyun Lee, Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He, Zhao Zhang, Baiang Li, Huan Zheng, Suiyi Zhao, Yangcheng Gao, Yanyan Wei, Jiahuan Ren, Jiayu Wei, Yanfeng Li, Jia Sun, Zhanyi Cheng, Zhiyuan Li, Xu Yao, Xinyi Wang, Danxu Li, Xuan Cui, Jun Cao, Cheng Li, Jianbin Zheng, Anjali Sarvaiya, Kalpesh Prajapati, Ratnadeep Patra, Pragnesh Barik, Chaitanya Rathod, Kishor P. Upla, Kiran B. Raja, Raghavendra Ramachandra, Christoph Busch:
NTIRE 2023 Challenge on Image Super-Resolution (×4): Methods and Results. CVPR Workshops 2023: 1865-1884 - [c106]Yawei Li, Yulun Zhang, Radu Timofte, Luc Van Gool, Zhijun Tu, Kunpeng Du, Hailing Wang, Hanting Chen, Wei Li, Xiaofei Wang, Jie Hu, Yunhe Wang, Xiangyu Kong, Jinlong Wu, Dafeng Zhang, Jianxing Zhang, Shuai Liu, Furui Bai, Chaoyu Feng, Hao Wang, Yuqian Zhang, Guangqi Shao, Xiaotao Wang, Lei Lei, Rongjian Xu, Zhilu Zhang, Yunjin Chen, Dongwei Ren, Wangmeng Zuo, Qi Wu, Mingyan Han, Shen Cheng, Haipeng Li, Ting Jiang, Chengzhi Jiang, Xinpeng Li, Jinting Luo, Wenjie Lin, Lei Yu, Haoqiang Fan, Shuaicheng Liu, Aditya Arora, Syed Waqas Zamir, Javier Vazquez-Corral, Konstantinos G. Derpanis, Michael S. Brown, Hao Li, Zhihao Zhao, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Bo Yang, Jingxiang Chen, Chenghua Li, Xi Zhang, Zhao Zhang, Jiahuan Ren, Zhicheng Ji, Kang Miao, Suiyi Zhao, Huan Zheng, Yanyan Wei, Kangliang Liu, Xiangcheng Du, Sijie Liu, Yingbin Zheng, Xingjiao Wu, Cheng Jin, Rajeev Irny, Sriharsha Koundinya, Vighnesh Kamath, Gaurav Khandelwal, Sunder Ali Khowaja, Jiseok Yoon, Ik Hyun Lee, Shijie Chen, Chengqiang Zhao, Huabin Yang, Zhongjian Zhang, Junjia Huang, Yanru Zhang:
NTIRE 2023 Challenge on Image Denoising: Methods and Results. CVPR Workshops 2023: 1905-1921 - [c105]Yawei Li, Yulun Zhang, Radu Timofte, Luc Van Gool, Lei Yu, Youwei Li, Xinpeng Li, Ting Jiang, Qi Wu, Mingyan Han, Wenjie Lin, Chengzhi Jiang, Jinting Luo, Haoqiang Fan, Shuaicheng Liu, Yucong Wang, Minjie Cai, Mingxi Li, Yuhang Zhang, Xianjun Fan, Yankai Sheng, Yanyu Mao, Nihao Zhang, Qian Wang, Mingjun Zheng, Long Sun, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Zhongbao Yang, Yan Wang, Erlin Pan, Qixuan Cai, Xinan Dai, Magauiya Zhussip, Nikolay Kalyazin, Dmitry Vyal, Xueyi Zou, Youliang Yan, Heaseo Chung, Jin Zhang, Gaocheng Yu, Feng Zhang, Hongbin Wang, Bohao Liao, Zhibo Du, Yu-Liang Wu, Gege Shi, Long Peng, Yang Wang, Yang Cao, Zhengjun Zha, Zhi-Kai Huang, Yi-Chung Chen, Yuan-Chun Chiang, Hao-Hsiang Yang, Wei-Ting Chen, Hua-En Chang, I-Hsiang Chen, Chia-Hsuan Hsieh, Sy-Yen Kuo, Xin Liu, Jiahao Pan, Hongyuan Yu, Weichen Yu, Lin Ge, Jiahua Dong, Yajun Zou, Zhuoyuan Wu, Binnan Han, Xiaolin Zhang, Heng Zhang, Xuanwu Yin, Kunlong Zuo, Weijian Deng, Hongjie Yuan, Zengtong Lu, Mingyu Ouyang, Wenzhuo Ma, Nian Liu, Hanyou Zheng, Yuantong Zhang, Junxi Zhang, Zhenzhong Chen, Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He, Yurui Zhu, Xi Wang, Xueyang Fu, Zheng-Jun Zha, Daheng Yin, Mengyang Liu, Baijun Chen, Ao Li, Lei Luo, Kangjun Jin, Ce Zhu, Xiaoming Zhang, Chengxing Xie, Linze Li, Haiteng Meng, Tianlin Zhang, Tianrui Li, Xiaole Zhao, Zhao Zhang, Baiang Li, Huan Zheng, Suiyi Zhao, Yangcheng Gao, Jiahuan Ren, Kang Hu, Jingpeng Shi, Zhijian Wu, Dingjiang Huang, Jinchen Zhu, Hui Li, Qianru Xv, Tianle Liu, Gang Wu, Junpeng Jiang, Xianming Liu, Junjun Jiang, Mingjian Zhang, Shizhuang Weng, Jing Hu, Chengxu Wu, Qinrui Fan, Chengming Feng, Ziwei Luo, Shu Hu, Siwei Lyu, Xi Wu, Xin Wang:
NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results. CVPR Workshops 2023: 1922-1960 - [c104]Yuekun Dai, Chongyi Li, Shangchen Zhou, Ruicheng Feng, Qingpeng Zhu, Qianhui Sun, Wenxiu Sun, Chen Change Loy, Jinwei Gu, Shuai Liu, Hao Wang, Chaoyu Feng, Luyang Wang, Guangqi Shao, Chenguang Zhang, Xiaotao Wang, Lei Lei, Dafeng Zhang, Xiangyu Kong, Guanqun Liu, Mengmeng Bai, Jia Ouyang, Xiaobing Wang, Jiahui Yuan, Xinpeng Li, Chengzhi Jiang, Ting Jiang, Wenjie Lin, Qi Wu, Mingyan Han, Jinting Luo, Lei Yu, Haoqiang Fan, Shuaicheng Liu, Bo Yan, Zhuang Li, Yadong Li, Hongbin Wang, Soonyong Song, Minghan Fu, Rayyan Azam Khan, Fang-Xiang Wu, Zhao Zhang, Suiyi Zhao, Huan Zheng, Yangcheng Gao, Yanyan Wei, Jiahuan Ren, Bo Wang, Yan Luo, Shuaibo Gao, Wenhui Wu, Sicong Kang, Nikhil Akalwadi, Ankit Raichur, Vinod Patil, Allabakash Ghodesawar, Swaroop Adrashyappanamath, Amogh Joshi, Chaitra Desai, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi, Sicheng Li, Ruoxi Zhu, Jiazheng Lian, Shusong Xu, Zihao Liu, Sabari Nathan, Priya Kansal:
MIPI 2023 Challenge on Nighttime Flare Removal: Methods and Results. CVPR Workshops 2023: 2853-2863 - [c103]Yawei Li, Zhao Zhang, Suiyi Zhao, Jicong Fan, Haijun Zhang, Mingliang Xu:
Feature Aggregating Network with Inter-Frame Interaction for Efficient Video Super-Resolution. ICDM 2023: 329-338 - [c102]Kang Miao, Zhao Zhang, Jiahuan Ren, Mingbo Zhao, Haijun Zhang, Richang Hong:
Adaptive Student Inference Network for Efficient Single Image Super-Resolution. ICDM 2023: 488-497 - [c101]Xing Bao, Huan Zheng, Zhao Zhang, Zhengjun Zha, Meng Wang:
Hierarchical Context Modeling Network for Landmark Recognition. ICDM 2023: 930-937 - [c100]Yu Liu, Mingbo Zhao, Zhao Zhang, Jicong Fan, Yang Lou, Shuicheng Yan:
Arbitrary Virtual Try-on Network: Characteristics Representation and Trade-off between Body and Clothing. ICLR 2023 - [c99]Guanghua Zheng, Zhongqiu Zhao, Zhao Zhang, Yi Yang:
Hierarchical Graph Neural Network for Human Pose Estimation. ICME 2023: 2663-2668 - [c98]Hao Shen, Zhong-Qiu Zhao, Yulun Zhang, Zhao Zhang:
Mutual Information-driven Triple Interaction Network for Efficient Image Dehazing. ACM Multimedia 2023: 7-16 - [c97]Han Yan, Haijun Zhang, Xiangyu Mu, Jicong Fan, Zhao Zhang:
FashionDiff: A Controllable Diffusion Model Using Pairwise Fashion Elements for Intelligent Design. ACM Multimedia 2023: 1401-1411 - [c96]Huan Zheng, Zhao Zhang, Jicong Fan, Richang Hong, Yi Yang, Shuicheng Yan:
Decoupled Cross-Scale Cross-View Interaction for Stereo Image Enhancement in the Dark. ACM Multimedia 2023: 1475-1484 - [c95]Bo Wang, Zhao Zhang, Suiyi Zhao, Haijun Zhang, Richang Hong, Meng Wang:
CropCap: Embedding Visual Cross-Partition Dependency for Image Captioning. ACM Multimedia 2023: 1750-1758 - [c94]Baiang Li, Huan Zheng, Zhao Zhang, Yang Zhao, Zhongqiu Zhao, Haijun Zhang:
Dynamic Grouped Interaction Network for Low-Light Stereo Image Enhancement. ACM Multimedia 2023: 2468-2476 - [c93]Jianyang Shi, Haijun Zhang, Dongliang Zhou, Zhao Zhang:
Toward Intelligent Interactive Design: A Generation Framework Based on Cross-domain Fashion Elements. ACM Multimedia 2023: 7152-7163 - [c92]Han Yan, Haijun Zhang, Jie Hou, Jicong Fan, Zhao Zhang:
InspirNET: An Unsupervised Generative Adversarial Network with Controllable Fine-grained Texture Disentanglement for Fashion Generation. ACM Multimedia 2023: 7194-7204 - [c91]Dongliang Zhou, Haijun Zhang, Jianghong Ma, Jicong Fan, Zhao Zhang:
FCBoost-Net: A Generative Network for Synthesizing Multiple Collocated Outfits via Fashion Compatibility Boosting. ACM Multimedia 2023: 7881-7889 - [c90]Panda Pan, Yang Zhao, Yuan Chen, Wei Jia, Zhao Zhang, Ronggang Wang:
Cross-view Resolution and Frame Rate Joint Enhancement for Binocular Video. ACM Multimedia 2023: 8367-8375 - [c89]Hao Lin, Jiaxing Qiu, Hongyi Wang, Zhenhua Li, Liangyi Gong, Di Gao, Yunhao Liu, Feng Qian, Zhao Zhang, Ping Yang, Tianyin Xu:
Virtual Device Farms for Mobile App Testing at Scale: A Pursuit for Fidelity, Efficiency, and Accessibility. MobiCom 2023: 45:1-45:17 - [c88]Junhu Wang, Suiyi Zhao, Zhao Zhang, Yang Zhao, Haijun Zhang:
Physical-Property Guided End-to-End Interactive Image Dehazing Network. NCAA (2) 2023: 116-131 - [c87]Zhihao Wu, Zhao Zhang, Jicong Fan:
Graph Convolutional Kernel Machine versus Graph Convolutional Networks. NeurIPS 2023 - [e6]Haijun Zhang, Yinggen Ke, Zhou Wu, Tianyong Hao, Zhao Zhang, Weizhi Meng, Yuanyuan Mu:
International Conference on Neural Computing for Advanced Applications - 4th International Conference, NCAA 2023, Hefei, China, July 7-9, 2023, Proceedings, Part I. Communications in Computer and Information Science 1869, Springer 2023, ISBN 978-981-99-5843-6 [contents] - [e5]Haijun Zhang, Yinggen Ke, Zhou Wu, Tianyong Hao, Zhao Zhang, Weizhi Meng, Yuanyuan Mu:
International Conference on Neural Computing for Advanced Applications - 4th International Conference, NCAA 2023, Hefei, China, July 7-9, 2023, Proceedings, Part II. Communications in Computer and Information Science 1870, Springer 2023, ISBN 978-981-99-5846-7 [contents] - [i47]Hao Shen, Zhong-Qiu Zhao, Yulun Zhang, Zhao Zhang:
Mutual Information-driven Triple Interaction Network for Efficient Image Dehazing. CoRR abs/2308.06998 (2023) - [i46]Kangzhe Liu, Jianghong Ma, Shanshan Feng, Haijun Zhang, Zhao Zhang:
DRGame: Diversified Recommendation for Multi-category Video Games with Balanced Implicit Preferences. CoRR abs/2308.15823 (2023) - [i45]Dezhao Yang, Jianghong Ma, Shanshan Feng, Haijun Zhang, Zhao Zhang:
IDVT: Interest-aware Denoising and View-guided Tuning for Social Recommendation. CoRR abs/2308.15926 (2023) - [i44]Yanyan Wei, Zhao Zhang, Jiahuan Ren, Xiaogang Xu, Richang Hong, Yi Yang, Shuicheng Yan, Meng Wang:
Clarity ChatGPT: An Interactive and Adaptive Processing System for Image Restoration and Enhancement. CoRR abs/2311.11695 (2023) - [i43]Zhichao Zuo, Zhao Zhang, Yan Luo, Yang Zhao, Haijun Zhang, Yi Yang, Meng Wang:
Cut-and-Paste: Subject-Driven Video Editing with Attention Control. CoRR abs/2311.11697 (2023) - [i42]Xingzhao Jia, Zhongqiu Zhao, Changlei Dongye, Zhao Zhang:
All in One: RGB, RGB-D, and RGB-T Salient Object Detection. CoRR abs/2311.14746 (2023) - [i41]Zhao Zhang, Xinpeng Li:
Nonlinear Expectation Inference for Direct Uncertainty Quantification of Nonlinear Inverse Problems. CoRR abs/2312.06923 (2023) - 2022
- [j91]Zhao Zhang, Meng Wang, Sheng Li, Zheng Zhang:
Editorial: Deep dictionary learning: Algorithm, theory and application. Neurocomputing 491: 492-493 (2022) - [j90]Mingbo Zhao, Shanchuan Gao, Jianghong Ma, Zhao Zhang:
Joint clothes image detection and search via anchor free framework. Neural Networks 155: 84-94 (2022) - [j89]Qiaolin Ye, Peng Huang, Zhao Zhang, Yuhui Zheng, Liyong Fu, Wankou Yang:
Multiview Learning With Robust Double-Sided Twin SVM. IEEE Trans. Cybern. 52(12): 12745-12758 (2022) - [c86]Fankai Zeng, Mingbo Zhao, Zhao Zhang, Shanchuan Gao, Lu Cheng:
Joint Clothes Detection and Attribution Prediction via Anchor-free Framework with Decoupled Representation Transformer. CIKM 2022: 2444-2454 - [c85]Jinyu Cai, Jicong Fan, Wenzhong Guo, Shiping Wang, Yunhe Zhang, Zhao Zhang:
Efficient Deep Embedded Subspace Clustering. CVPR 2022: 21-30 - [c84]Zhao Zhang, Huan Zheng, Richang Hong, Mingliang Xu, Shuicheng Yan, Meng Wang:
Deep Color Consistent Network for Low-Light Image Enhancement. CVPR 2022: 1889-1898 - [c83]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, Xiaowei Hu, Jinfan Hu, Xina Liu, Xiangyu Chen, Chao Dong, Dafeng Zhang, Feiyu Huang, Shizhuo Liu, Xiaobing Wang, Zhezhu Jin, Xuhao Jiang, Guangqi Shao, Xiaotao Wang, Lei Lei, Zhao Zhang, Suiyi Zhao, Huan Zheng, Yangcheng Gao, Yanyan Wei, Jiahuan Ren, Tao Huang, Zhenxuan Fang, Mengluan Huang, Junwei Xu, Yong Zhang, Yuechi Yang, Qidi Shu, Zhiwen Yang, Shaocong Li, Mingde Yao, Ruikang Xu, Yuanshen Guan, Jie Huang, Zhiwei Xiong, Hangyan Zhu, Ming Liu, Shaohui Liu, Wangmeng Zuo, Zhuang Jia, Binbin Song, Ziqi Song, Guiting Mao, Ben Hou, Zhimou Liu, Yi Ke, Dengpei Ouyang, Dekui Han, Jinghao Zhang, Qi Zhu, Naishan Zheng, Feng Zhao, Wu Jin, Marcos V. Conde, Sabari Nathan, Radu Timofte, Tianyi Xu, Jun Xu, P. S. Hrishikesh, Densen Puthussery, C. V. Jiji, Biao Jiang, Yuhan Ding, WanZhang Li, Xiaoyue Feng, Sijing Chen, Tianheng Zhong, Jiyang Lu, Hongming Chen, Zhentao Fan, Xiang Chen:
MIPI 2022 Challenge on Under-Display Camera Image Restoration: Methods and Results. ECCV Workshops (5) 2022: 60-77 - [c82]Yangcheng Gao, Zhao Zhang, Richang Hong, Haijun Zhang, Jicong Fan, Shuicheng Yan:
Towards Feature Distribution Alignment and Diversity Enhancement for Data-Free Quantization. ICDM 2022: 141-150 - [c81]Bo Wang, Zhao Zhang, Jicong Fan, Mingbo Zhao, Choujun Zhan, Mingliang Xu:
FineFormer: Fine-Grained Adaptive Object Transformer for Image Captioning. ICDM 2022: 508-517 - [c80]Suiyi Zhao, Zhao Zhang, Richang Hong, Mingliang Xu, Haijun Zhang, Meng Wang, Shuicheng Yan:
CRNet: Unsupervised Color Retention Network for Blind Motion Deblurring. ACM Multimedia 2022: 6193-6201 - [c79]Yanyan Wei, Zhao Zhang, Huan Zheng, Richang Hong, Yi Yang, Meng Wang:
SGINet: Toward Sufficient Interaction Between Single Image Deraining and Semantic Segmentation. ACM Multimedia 2022: 6202-6210 - [c78]Jiahuan Ren, Zhao Zhang, Richang Hong, Mingliang Xu, Haijun Zhang, Mingbo Zhao, Meng Wang:
Robust Low-Rank Convolution Network for Image Denoising. ACM Multimedia 2022: 6211-6219 - [c77]Suiyi Zhao, Zhao Zhang, Richang Hong, Mingliang Xu, Yi Yang, Meng Wang:
FCL-GAN: A Lightweight and Real-Time Baseline for Unsupervised Blind Image Deblurring. ACM Multimedia 2022: 6220-6229 - [c76]Huan Zheng, Zhao Zhang, Haijun Zhang, Yi Yang, Shuicheng Yan, Meng Wang:
Deep Multi-Resolution Mutual Learning for Image Inpainting. ACM Multimedia 2022: 6359-6367 - [c75]Yanyan Wei, Zhao Zhang, Mingliang Xu, Richang Hong, Jicong Fan, Shuicheng Yan:
Robust Attention Deraining Network for Synchronous Rain Streaks and Raindrops Removal. ACM Multimedia 2022: 6464-6472 - [c74]Jicong Fan, Yiheng Tu, Zhao Zhang, Mingbo Zhao, Haijun Zhang:
A Simple Approach to Automated Spectral Clustering. NeurIPS 2022 - [e4]Haijun Zhang, Yuehui Chen, Xianghua Chu, Zhao Zhang, Tianyong Hao, Zhou Wu, Yimin Yang:
Neural Computing for Advanced Applications - Third International Conference, NCAA 2022, Jinan, China, July 8-10, 2022, Proceedings, Part I. Communications in Computer and Information Science 1637, Springer 2022, ISBN 978-981-19-6141-0 [contents] - [e3]Haijun Zhang, Yuehui Chen, Xianghua Chu, Zhao Zhang, Tianyong Hao, Zhou Wu, Yimin Yang:
Neural Computing for Advanced Applications - Third International Conference, NCAA 2022, Jinan, China, July 8-10, 2022, Proceedings, Part II. Communications in Computer and Information Science 1638, Springer 2022, ISBN 978-981-19-6134-2 [contents] - [i40]Suiyi Zhao, Zhao Zhang, Richang Hong, Mingliang Xu, Yi Yang, Meng Wang:
FCL-GAN: A Lightweight and Real-Time Baseline for Unsupervised Blind Image Deblurring. CoRR abs/2204.07820 (2022) - [i39]Yangcheng Gao, Zhao Zhang, Richang Hong, Haijun Zhang, Jicong Fan, Shuicheng Yan, Meng Wang:
ClusterQ: Semantic Feature Distribution Alignment for Data-Free Quantization. CoRR abs/2205.00179 (2022) - [i38]Jie Wen, Zheng Zhang, Lunke Fei, Bob Zhang, Yong Xu, Zhao Zhang, Jinxing Li:
A Survey on Incomplete Multi-view Clustering. CoRR abs/2208.08040 (2022) - [i37]Jiahuan Ren, Zhao Zhang, Richang Hong, Mingliang Xu, Yi Yang, Shuicheng Yan:
Seeing Through The Noisy Dark: Toward Real-world Low-Light Image Enhancement and Denoising. CoRR abs/2210.00545 (2022) - [i36]Huan Zheng, Zhao Zhang, Jicong Fan, Richang Hong, Yi Yang, Shuicheng Yan:
Decoupled Cross-Scale Cross-View Interaction for Stereo Image Enhancement in The Dark. CoRR abs/2211.00859 (2022) - [i35]Bo Wang, Zhao Zhang, Mingbo Zhao, Xiaojie Jin, Mingliang Xu, Meng Wang:
OSIC: A New One-Stage Image Captioner Coined. CoRR abs/2211.02321 (2022) - [i34]Zhao Zhang, Suiyi Zhao, Xiaojie Jin, Mingliang Xu, Yi Yang, Shuicheng Yan:
NoiSER: Noise is All You Need for Low-Light Image Enhancement. CoRR abs/2211.04700 (2022) - [i33]Yan Luo, Yangcheng Gao, Zhao Zhang, Haijun Zhang, Mingliang Xu, Meng Wang:
Long-Range Zero-Shot Generative Deep Network Quantization. CoRR abs/2211.06816 (2022) - [i32]Yanyan Wei, Zhao Zhang, Zhongqiu Zhao, Yang Zhao, Richang Hong, Yi Yang:
Stereo Image Rain Removal via Dual-View Mutual Attention. CoRR abs/2211.10104 (2022) - 2021
- [j88]Yan Zhang, Zhao Zhang, Yang Wang, Zheng Zhang, Li Zhang, Shuicheng Yan, Meng Wang:
Dual-Constrained Deep Semi-Supervised Coupled Factorization Network with Enriched Prior. Int. J. Comput. Vis. 129(12): 3233-3254 (2021) - [j87]Zhao Zhang, Yan Zhang, Mingliang Xu, Li Zhang, Yi Yang, Shuicheng Yan:
A Survey on Concept Factorization: From Shallow to Deep Representation Learning. Inf. Process. Manag. 58(3): 102534 (2021) - [j86]Yuzhu Ji, Haijun Zhang, Zhao Zhang, Ming Liu:
CNN-based encoder-decoder networks for salient object detection: A comprehensive review and recent advances. Inf. Sci. 546: 835-857 (2021) - [j85]Zhao Zhang, Sheng Li, Meng Wang, Shuicheng Yan:
Editorial: IMAVIS special issue on deep cross-media neural model for generating image descriptions. Image Vis. Comput. 112: 104239 (2021) - [j84]Mingbo Zhao, Jiao Liu, Zhao Zhang, Jicong Fan:
A scalable sub-graph regularization for efficient content based image retrieval with long-term relevance feedback enhancement. Knowl. Based Syst. 212: 106505 (2021) - [j83]Zhao Zhang, Zemin Tang, Yang Wang, Zheng Zhang, Choujun Zhan, Zhengjun Zha, Meng Wang:
Dense Residual Network: Enhancing global dense feature flow for character recognition. Neural Networks 139: 77-85 (2021) - [j82]Hongwei Yin, Wenjun Hu, Zhao Zhang, Jungang Lou, Minmin Miao:
Incremental multi-view spectral clustering with sparse and connected graph learning. Neural Networks 144: 260-270 (2021) - [j81]Xianrui Li, Zhiling Ye, Zhao Zhang, Mingbo Zhao:
Clothes image caption generation with attribute detection and visual attention model. Pattern Recognit. Lett. 141: 68-74 (2021) - [j80]Jie Wen, Zheng Zhang, Zhao Zhang, Lunke Fei, Meng Wang:
Generalized Incomplete Multiview Clustering With Flexible Locality Structure Diffusion. IEEE Trans. Cybern. 51(1): 101-114 (2021) - [j79]Yanyan Wei, Zhao Zhang, Yang Wang, Mingliang Xu, Yi Yang, Shuicheng Yan, Meng Wang:
DerainCycleGAN: Rain Attentive CycleGAN for Single Image Deraining and Rainmaking. IEEE Trans. Image Process. 30: 4788-4801 (2021) - [j78]Zhao Zhang, Yan Zhang, Sheng Li, Guangcan Liu, Dan Zeng, Shuicheng Yan, Meng Wang:
Flexible Auto-Weighted Local-Coordinate Concept Factorization: A Robust Framework for Unsupervised Clustering. IEEE Trans. Knowl. Data Eng. 33(4): 1523-1539 (2021) - [j77]Huibing Wang, Yang Wang, Zhao Zhang, Xianping Fu, Li Zhuo, Mingliang Xu, Meng Wang:
Kernelized Multiview Subspace Analysis By Self-Weighted Learning. IEEE Trans. Multim. 23: 3828-3840 (2021) - [j76]Zhao Zhang, Yulin Sun, Yang Wang, Zheng Zhang, Haijun Zhang, Guangcan Liu, Meng Wang:
Twin-Incoherent Self-Expressive Locality-Adaptive Latent Dictionary Pair Learning for Classification. IEEE Trans. Neural Networks Learn. Syst. 32(3): 947-961 (2021) - [j75]Ximing Li, Yang Wang, Zhao Zhang, Richang Hong, Li Zhuo, Meng Wang:
RMoR-Aion: Robust Multioutput Regression by Simultaneously Alleviating Input and Output Noises. IEEE Trans. Neural Networks Learn. Syst. 32(3): 1351-1364 (2021) - [j74]Zhao Zhang, Jiahuan Ren, Haijun Zhang, Zheng Zhang, Guangcan Liu, Shuicheng Yan:
DLRF-Net: A Progressive Deep Latent Low-Rank Fusion Network for Hierarchical Subspace Discovery. ACM Trans. Multim. Comput. Commun. Appl. 17(1s): 5:1-5:24 (2021) - [j73]Bingzhi Chen, Yishu Liu, Zheng Zhang, Yingjian Li, Zhao Zhang, Guangming Lu, Hongbing Yu:
Deep Active Context Estimation for Automated COVID-19 Diagnosis. ACM Trans. Multim. Comput. Commun. Appl. 17(3s): 101:1-101:22 (2021) - [c73]Jie Wen, Zheng Zhang, Zhao Zhang, Lei Zhu, Lunke Fei, Bob Zhang, Yong Xu:
Unified Tensor Framework for Incomplete Multi-view Clustering and Missing-view Inferring. AAAI 2021: 10273-10281 - [c72]Yan Zhang, Zhao Zhang, Yang Wang, Zheng Zhang, Li Zhang, Shuicheng Yan, Meng Wang:
Partial-Label and Structure-constrained Deep Coupled Factorization Network. AAAI 2021: 10948-10955 - [c71]Yangcheng Gao, Zhao Zhang, Haijun Zhang, Mingbo Zhao, Yi Yang, Meng Wang:
Dictionary Pair-based Data-Free Fast Deep Neural Network Compression. ICDM 2021: 121-130 - [c70]Jiahuan Ren, Zhao Zhang, Jicong Fan, Haijun Zhang, Mingliang Xu, Meng Wang:
Robust Low-rank Deep Feature Recovery in CNNs: Toward Low Information Loss and Fast Convergence. ICDM 2021: 529-538 - [c69]Zhao Zhang, Weiming Jiang, Yang Wang, Qiaolin Ye, Mingbo Zhao, Mingliang Xu, Meng Wang:
Discriminative Additive Scale Loss for Deep Imbalanced Classification and Embedding. ICDM 2021: 936-945 - [c68]Zhao Zhang, Xianzhen Li, Haijun Zhang, Yi Yang, Shuicheng Yan, Meng Wang:
Triplet Deep Subspace Clustering via Self-Supervised Data Augmentation. ICDM 2021: 946-955 - [c67]Yanyan Wei, Zhao Zhang, Yang Wang, Haijun Zhang, Mingbo Zhao, Mingliang Xu, Meng Wang:
Semi-Deraingan: A New Semi-Supervised Single Image Deraining. ICME 2021: 1-6 - [c66]Zhengqi Zhang, Li Zhang, Zhao Zhang:
Fisher-regularized Support Vector Machine with Pinball Loss Function. IJCNN 2021: 1-8 - [c65]Huan Zheng, Zhao Zhang, Yang Wang, Zheng Zhang, Mingliang Xu, Yi Yang, Meng Wang:
GCM-Net: Towards Effective Global Context Modeling for Image Inpainting. ACM Multimedia 2021: 2586-2594 - [e2]Haijun Zhang, Zhi Yang, Zhao Zhang, Zhou Wu, Tianyong Hao:
Neural Computing for Advanced Applications - Second International Conference, NCAA 2021, Guangzhou, China, August 27-30, 2021, Proceedings. Communications in Computer and Information Science 1449, Springer 2021, ISBN 978-981-16-5187-8 [contents] - [i31]Renhao Sun, Yang Wang, Zhao Zhang, Richang Hong, Meng Wang:
Deep Adversarial Inconsistent Cognitive Sampling for Multi-view Progressive Subspace Clustering. CoRR abs/2101.03783 (2021) - [i30]Jicong Fan, Yiheng Tu, Zhao Zhang, Mingbo Zhao:
EGGS: Eigen-Gap Guided Search Making Subspace Clustering Easy. CoRR abs/2107.12183 (2021) - [i29]Yu Liu, Mingbo Zhao, Zhao Zhang, Haijun Zhang, Shuicheng Yan:
Arbitrary Virtual Try-On Network: Characteristics Preservation and Trade-off between Body and Clothing. CoRR abs/2111.12346 (2021) - 2020
- [j72]Haijun Zhang, Xinghao Wang, Linlin Liu, Dongliang Zhou, Zhao Zhang:
WarpClothingOut: A Stepwise Framework for Clothes Translation From the Human Body to Tiled Images. IEEE Multim. 27(4): 58-68 (2020) - [j71]Mingbo Zhao, Yu Liu, Xianrui Li, Zhao Zhang, Yue Zhang:
An End-to-End Framework for Clothing Collocation Based on Semantic Feature Fusion. IEEE Multim. 27(4): 122-132 (2020) - [j70]Zeming Tang, Weiming Jiang, Zhao Zhang, Mingbo Zhao, Li Zhang, Meng Wang:
DenseNet with Up-Sampling block for recognizing texts in images. Neural Comput. Appl. 32(11): 7553-7561 (2020) - [j69]Xianzhen Li, Zhao Zhang, Li Zhang, Meng Wang:
Mutual-manifold regularized robust fast latent LRR for subspace recovery and learning. Neural Comput. Appl. 32(17): 13363-13376 (2020) - [j68]Wei Zeng, Mingbo Zhao, Yuan Gao, Zhao Zhang:
TileGAN: category-oriented attention-based high-quality tiled clothes generation from dressed person. Neural Comput. Appl. 32(23): 17587-17600 (2020) - [j67]Xinjian Gao, Zhao Zhang, Tingting Mu, Xudong Zhang, Chaoran Cui, Meng Wang:
Self-attention driven adversarial similarity learning network. Pattern Recognit. 105: 107331 (2020) - [j66]Zhao Zhang, Jiahuan Ren, Weiming Jiang, Zheng Zhang, Richang Hong, Shuicheng Yan, Meng Wang:
Joint Subspace Recovery and Enhanced Locality Driven Robust Flexible Discriminative Dictionary Learning. IEEE Trans. Circuits Syst. Video Technol. 30(8): 2430-2446 (2020) - [j65]Rui Gao, Xingsong Hou, Jie Qin, Jiaxin Chen, Li Liu, Fan Zhu, Zhao Zhang, Ling Shao:
Zero-VAE-GAN: Generating Unseen Features for Generalized and Transductive Zero-Shot Learning. IEEE Trans. Image Process. 29: 3665-3680 (2020) - [j64]Jiahuan Ren, Zhao Zhang, Sheng Li, Yang Wang, Guangcan Liu, Shuicheng Yan, Meng Wang:
Learning Hybrid Representation by Robust Dictionary Learning in Factorized Compressed Space. IEEE Trans. Image Process. 29: 3941-3956 (2020) - [j63]Zhao Zhang, Yan Zhang, Guangcan Liu, Jinhui Tang, Shuicheng Yan, Meng Wang:
Joint Label Prediction Based Semi-Supervised Adaptive Concept Factorization for Robust Data Representation. IEEE Trans. Knowl. Data Eng. 32(5): 952-970 (2020) - [j62]Zhengming Li, Zheng Zhang, Jie Qin, Zhao Zhang, Ling Shao:
Discriminative Fisher Embedding Dictionary Learning Algorithm for Object Recognition. IEEE Trans. Neural Networks Learn. Syst. 31(3): 786-800 (2020) - [j61]Linlin Liu, Haijun Zhang, Xiaofei Xu, Zhao Zhang, Shuicheng Yan:
Collocating Clothes With Generative Adversarial Networks Cosupervised by Categories and Attributes: A Multidiscriminator Framework. IEEE Trans. Neural Networks Learn. Syst. 31(9): 3540-3554 (2020) - [j60]Yulin Sun, Zhao Zhang, Weiming Jiang, Zheng Zhang, Li Zhang, Shuicheng Yan, Meng Wang:
Discriminative Local Sparse Representation by Robust Adaptive Dictionary Pair Learning. IEEE Trans. Neural Networks Learn. Syst. 31(10): 4303-4317 (2020) - [j59]Huan Zhang, Zhao Zhang, Mingbo Zhao, Qiaolin Ye, Min Zhang, Meng Wang:
Robust Triple-Matrix-Recovery-Based Auto-Weighted Label Propagation for Classification. IEEE Trans. Neural Networks Learn. Syst. 31(11): 4538-4552 (2020) - [c64]Xianzhen Li, Zhao Zhang, Yang Wang, Guangcan Liu, Shuicheng Yan, Meng Wang:
Multilayer Collaborative Low-Rank Coding Network for Robust Deep Subspace Discovery. ECAI 2020: 1285-1292 - [c63]Zhao Zhang, Yulin Sun, Yang Wang, Zhengjun Zha, Shuicheng Yan, Meng Wang:
Convolutional Dictionary Pair Learning Network for Image Representation Learning. ECAI 2020: 1642-1649 - [c62]Zhao Zhang, Zemin Tang, Zheng Zhang, Yang Wang, Jie Qin, Meng Wang:
Fully-Convolutional Intensive Feature Flow Neural Network for Text Recognition. ECAI 2020: 1706-1713 - [c61]Zhao Zhang, Yulin Sun, Zheng Zhang, Yang Wang, Lin Wu, Meng Wang:
MDPL-net: Multi-layer Dictionary Learning Network with Added Skip Dense Connections. ICDM 2020: 811-820 - [c60]Jinjia Peng, Yang Wang, Huibing Wang, Zhao Zhang, Xianping Fu, Meng Wang:
Unsupervised Vehicle Re-identification with Progressive Adaptation. IJCAI 2020: 913-919 - [c59]Zhao Zhang, Jiahuan Ren, Zheng Zhang, Guangcan Liu:
Deep Latent Low-Rank Fusion Network for Progressive Subspace Discovery. IJCAI 2020: 2762-2768 - [c58]Jie Wen, Zheng Zhang, Zhao Zhang, Zhihao Wu, Lunke Fei, Yong Xu, Bob Zhang:
DIMC-net: Deep Incomplete Multi-view Clustering Network. ACM Multimedia 2020: 3753-3761 - [c57]Lei Jia, Huan Zhang, Zhao Zhang:
Adaptive Multiple-View Label Propagation for Semi-supervised Classification. NCAA 2020: 1-11 - [c56]Yan Zhang, Zhao Zhang, Zheng Zhang, Mingbo Zhao, Li Zhang, Zhengjun Zha, Meng Wang:
Deep Self-representative Concept Factorization Network for Representation Learning. SDM 2020: 361-369 - [e1]Haijun Zhang, Zhao Zhang, Zhou Wu, Tianyong Hao:
Neural Computing for Advanced Applications - First International Conference, NCAA 2020, Shenzhen, China, July 3-5, 2020, Proceedings. Communications in Computer and Information Science 1265, Springer 2020, ISBN 978-981-15-7669-0 [contents] - [i28]Yanyan Wei, Zhao Zhang, Yang Wang, Mingbo Zhao, Meng Wang:
Semi-DerainGAN: A New Semi-supervised Single Image Deraining Network. CoRR abs/2001.08388 (2020) - [i27]Zhao Zhang, Zemin Tang, Yang Wang, Jie Qin, Zhengjun Zha, Shuicheng Yan:
Fast Dense Residual Network: Enhancing Global Dense Feature Flow for Text Recognition. CoRR abs/2001.09021 (2020) - [i26]Jinjia Peng, Yang Wang, Huibing Wang, Zhao Zhang, Xianping Fu, Meng Wang:
Unsupervised Vehicle Re-identification with Progressive Adaptation. CoRR abs/2006.11486 (2020) - [i25]Zhao Zhang, Yan Zhang, Li Zhang, Shuicheng Yan:
A Survey on Concept Factorization: From Shallow to Deep Representation Learning. CoRR abs/2007.15840 (2020) - [i24]Yan Zhang, Zhao Zhang, Yang Wang, Zheng Zhang, Li Zhang, Shuicheng Yan, Meng Wang:
Dual-constrained Deep Semi-Supervised Coupled Factorization Network with Enriched Prior. CoRR abs/2009.03714 (2020)
2010 – 2019
- 2019
- [j58]Mingbo Zhao, Yue Zhang, Zhao Zhang, Jiao Liu, Weijian Kong:
ALG: Adaptive low-rank graph regularization for scalable semi-supervised and unsupervised learning. Neurocomputing 370: 16-27 (2019) - [j57]Chengxiang Hu, Li Zhang, Bangjun Wang, Zhao Zhang, Fanzhang Li:
Incremental updating knowledge in neighborhood multigranulation rough sets under dynamic granular structures. Knowl. Based Syst. 163: 811-829 (2019) - [j56]Lei Wang, Bangjun Wang, Zhao Zhang, Qiaolin Ye, Liyong Fu, Guangcan Liu, Meng Wang:
Robust auto-weighted projective low-rank and sparse recovery for visual representation. Neural Networks 117: 201-215 (2019) - [j55]Hongwei Yin, Fanzhang Li, Li Zhang, Zhao Zhang:
Multi-view clustering via spectral embedding fusion. Soft Comput. 23(1): 343-356 (2019) - [j54]Zhao Zhang, Lei Jia, Mingbo Zhao, Guangcan Liu, Meng Wang, Shuicheng Yan:
Kernel-Induced Label Propagation by Mapping for Semi-Supervised Classification. IEEE Trans. Big Data 5(2): 148-165 (2019) - [j53]Guangcan Liu, Zhao Zhang, Qingshan Liu, Hongkai Xiong:
Robust Subspace Clustering With Compressed Data. IEEE Trans. Image Process. 28(10): 5161-5170 (2019) - [j52]Yan Zhang, Zhao Zhang, Sheng Li, Jie Qin, Guangcan Liu, Meng Wang, Shuicheng Yan:
Unsupervised Nonnegative Adaptive Feature Extraction for Data Representation. IEEE Trans. Knowl. Data Eng. 31(12): 2423-2440 (2019) - [j51]Qiaolin Ye, Zechao Li, Liyong Fu, Zhao Zhang, Wankou Yang, Guowei Yang:
Nonpeaked Discriminant Analysis for Data Representation. IEEE Trans. Neural Networks Learn. Syst. 30(12): 3818-3832 (2019) - [c55]Zhao Zhang, Yan Zhang, Sheng Li, Guangcan Liu, Meng Wang, Shuicheng Yan:
Robust Unsupervised Flexible Auto-weighted Local-coordinate Concept Factorization for Image Clustering. ICASSP 2019: 2092-2096 - [c54]Yanyan Wei, Zhao Zhang, Haijun Zhang, Richang Hong, Meng Wang:
A Coarse-to-Fine Multi-stream Hybrid Deraining Network for Single Image Deraining. ICDM 2019: 628-637 - [c53]Zhao Zhang, Yulin Sun, Zheng Zhang, Yang Wang, Guangcan Liu, Meng Wang:
Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification. ICDM 2019: 836-845 - [c52]Zhao Zhang, Lei Wang, Sheng Li, Yang Wang, Zheng Zhang, Zhengjun Zha, Meng Wang:
Adaptive Structure-Constrained Robust Latent Low-Rank Coding for Image Recovery. ICDM 2019: 846-855 - [c51]Zhao Zhang, Weiming Jiang, Zheng Zhang, Sheng Li, Guangcan Liu, Jie Qin:
Scalable Block-Diagonal Locality-Constrained Projective Dictionary Learning. IJCAI 2019: 4376-4382 - [c50]Zhao Zhang, Jiahuan Ren, Sheng Li, Richang Hong, Zhengjun Zha, Meng Wang:
Robust Subspace Discovery by Block-diagonal Adaptive Locality-constrained Representation. ACM Multimedia 2019: 1569-1577 - [i23]Zhao Zhang, Yan Zhang, Sheng Li, Guangcan Liu, Meng Wang, Shuicheng Yan:
Robust Unsupervised Flexible Auto-weighted Local-Coordinate Concept Factorization for Image Clustering. CoRR abs/1905.10564 (2019) - [i22]Zhao Zhang, Weiming Jiang, Zheng Zhang, Sheng Li, Guangcan Liu, Jie Qin:
Scalable Block-Diagonal Locality-Constrained Projective Dictionary Learning. CoRR abs/1905.10568 (2019) - [i21]Zhao Zhang, Yan Zhang, Guangcan Liu, Jinhui Tang, Shuicheng Yan, Meng Wang:
Joint Label Prediction based Semi-Supervised Adaptive Concept Factorization for Robust Data Representation. CoRR abs/1905.10572 (2019) - [i20]Zhao Zhang, Weiming Jiang, Jie Qin, Li Zhang, Fanzhang Li, Min Zhang, Shuicheng Yan:
Jointly Learning Structured Analysis Discriminative Dictionary and Analysis Multiclass Classifier. CoRR abs/1905.11543 (2019) - [i19]Zhao Zhang, Lei Jia, Mingbo Zhao, Guangcan Liu, Meng Wang, Shuicheng Yan:
Kernel-Induced Label Propagation by Mapping for Semi-Supervised Classification. CoRR abs/1905.12236 (2019) - [i18]Zhao Zhang, Jiahuan Ren, Weiming Jiang, Zheng Zhang, Richang Hong, Shuicheng Yan, Meng Wang:
Joint Subspace Recovery and Enhanced Locality Driven Robust Flexible Discriminative Dictionary Learning. CoRR abs/1906.04598 (2019) - [i17]Zhao Zhang, Jiahuan Ren, Sheng Li, Richang Hong, Zheng-Jun Zha, Meng Wang:
Robust Subspace Discovery by Block-diagonal Adaptive Locality-constrained Representation. CoRR abs/1908.01266 (2019) - [i16]Zhao Zhang, Lei Wang, Sheng Li, Yang Wang, Zheng Zhang, Zhengjun Zha, Meng Wang:
Adaptive Structure-constrained Robust Latent Low-Rank Coding for Image Recovery. CoRR abs/1908.07860 (2019) - [i15]Zhao Zhang, Yulin Sun, Zheng Zhang, Yang Wang, Guangcan Liu, Meng Wang:
Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification. CoRR abs/1908.07878 (2019) - [i14]Yanyan Wei, Zhao Zhang, Haijun Zhang, Richang Hong, Meng Wang:
A Coarse-to-Fine Multi-stream Hybrid Deraining Network for Single Image Deraining. CoRR abs/1908.10521 (2019) - [i13]Zhao Zhang, Yan Zhang, Sheng Li, Guangcan Liu, Dan Zeng, Shuicheng Yan, Meng Wang:
Flexible Auto-weighted Local-coordinate Concept Factorization: A Robust Framework for Unsupervised Clustering. CoRR abs/1909.00523 (2019) - [i12]Huan Zhang, Zhao Zhang, Mingbo Zhao, Qiaolin Ye, Min Zhang, Meng Wang:
Robust Triple-Matrix-Recovery-Based Auto-Weighted Label Propagation for Classification. CoRR abs/1911.08678 (2019) - [i11]Yulin Sun, Zhao Zhang, Weiming Jiang, Zheng Zhang, Li Zhang, Shuicheng Yan, Meng Wang:
Discriminative Local Sparse Representation by Robust Adaptive Dictionary Pair Learning. CoRR abs/1911.08680 (2019) - [i10]Huibing Wang, Yang Wang, Zhao Zhang, Xianping Fu, Meng Wang:
Kernelized Multiview Subspace Analysis by Self-weighted Learning. CoRR abs/1911.10357 (2019) - [i9]Biao Qian, Yang Wang, Zhao Zhang, Richang Hong, Meng Wang, Ling Shao:
Diversifying Inference Path Selection: Moving-Mobile-Network for Landmark Recognition. CoRR abs/1912.00418 (2019) - [i8]Yan Zhang, Zhao Zhang, Zheng Zhang, Mingbo Zhao, Li Zhang, Zhengjun Zha, Meng Wang:
Deep Self-representative Concept Factorization Network for Representation Learning. CoRR abs/1912.06444 (2019) - [i7]Zhao Zhang, Zemin Tang, Zheng Zhang, Yang Wang, Jie Qin, Meng Wang:
Fully-Convolutional Intensive Feature Flow Neural Network for Text Recognition. CoRR abs/1912.06446 (2019) - [i6]Xianzhen Li, Zhao Zhang, Yang Wang, Guangcan Liu, Shuicheng Yan, Meng Wang:
Multilayer Collaborative Low-Rank Coding Network for Robust Deep Subspace Discovery. CoRR abs/1912.06450 (2019) - [i5]Yanyan Wei, Zhao Zhang, Yang Wang, Mingliang Xu, Yi Yang, Shuicheng Yan, Meng Wang:
DerainCycleGAN: Rain Attentive CycleGAN for Single Image Deraining and Rainmaking. CoRR abs/1912.07015 (2019) - [i4]Zhao Zhang, Zemin Tang, Yang Wang, Zheng Zhang, Shuicheng Yan, Meng Wang:
Fast DenseNet: Towards Efficient and Accurate Text Recognition with Fast Dense Networks. CoRR abs/1912.07016 (2019) - [i3]Jiahuan Ren, Zhao Zhang, Sheng Li, Yang Wang, Guangcan Liu, Shuicheng Yan, Meng Wang:
Learning Hybrid Representation by Robust Dictionary Learning in Factorized Compressed Space. CoRR abs/1912.11785 (2019) - [i2]Zhao Zhang, Yulin Sun, Yang Wang, Zhengjun Zha, Shuicheng Yan, Meng Wang:
Convolutional Dictionary Pair Learning Network for Image Representation Learning. CoRR abs/1912.12138 (2019) - 2018
- [j50]Xiaojuan Huang, Li Zhang, Bangjun Wang, Fanzhang Li, Zhao Zhang:
Feature clustering based support vector machine recursive feature elimination for gene selection. Appl. Intell. 48(3): 594-607 (2018) - [j49]Li Zhang, Weida Zhou, Bangjun Wang, Zhao Zhang, Fanzhang Li:
Applying 1-norm SVM with squared loss to gene selection for cancer classification. Appl. Intell. 48(7): 1878-1890 (2018) - [j48]Yangtao Xue, Li Zhang, Bangjun Wang, Zhao Zhang, Fanzhang Li:
Nonlinear feature selection using Gaussian kernel SVM-RFE for fault diagnosis. Appl. Intell. 48(10): 3306-3331 (2018) - [j47]Mingbo Zhao, Mingquan Lin, Bernard Chiu, Zhao Zhang, Xue-Song Tang:
Trace Ratio Criterion based Discriminative Feature Selection via l2, p-norm regularization for supervised learning. Neurocomputing 321: 1-16 (2018) - [j46]Mengduo Yang, Fanzhang Li, Li Zhang, Zhao Zhang:
Deep learning algorithm with visual impression. Inf. Process. Lett. 136: 1-4 (2018) - [j45]Mengduo Yang, Fanzhang Li, Li Zhang, Zhao Zhang:
Lie group impression for deep learning. Inf. Process. Lett. 136: 12-16 (2018) - [j44]Qiaolin Ye, Liyong Fu, Zhao Zhang, Henghao Zhao, Meem Abdullah Naiem:
Lp- and Ls-Norm Distance Based Robust Linear Discriminant Analysis. Neural Networks 105: 393-404 (2018) - [j43]Zhao Zhang, Lei Jia, Mingbo Zhao, Qiaolin Ye, Min Zhang, Meng Wang:
Adaptive non-negative projective semi-supervised learning for inductive classification. Neural Networks 108: 128-145 (2018) - [j42]Li Zhang, Ya-Ping Lu, Bangjun Wang, Fanzhang Li, Zhao Zhang:
Sparse Auto-encoder with Smoothed l1 Regularization. Neural Process. Lett. 47(3): 829-839 (2018) - [j41]Yan Zhang, Zhao Zhang, Jie Qin, Li Zhang, Bing Li, Fanzhang Li:
Semi-supervised local multi-manifold Isomap by linear embedding for feature extraction. Pattern Recognit. 76: 662-678 (2018) - [j40]Xiaojuan Huang, Li Zhang, Bangjun Wang, Zhao Zhang, Fanzhang Li:
Feature weight estimation based on dynamic representation and neighbor sparse reconstruction. Pattern Recognit. 81: 388-403 (2018) - [j39]Zhao Zhang, Fanzhang Li, Lei Jia, Jie Qin, Li Zhang, Shuicheng Yan:
Robust Adaptive Embedded Label Propagation With Weight Learning for Inductive Classification. IEEE Trans. Neural Networks Learn. Syst. 29(8): 3388-3403 (2018) - [j38]Zhao Zhang, Weiming Jiang, Jie Qin, Li Zhang, Fanzhang Li, Min Zhang, Shuicheng Yan:
Jointly Learning Structured Analysis Discriminative Dictionary and Analysis Multiclass Classifier. IEEE Trans. Neural Networks Learn. Syst. 29(8): 3798-3814 (2018) - [c49]Rui Gao, Xingsong Hou, Jie Qin, Li Liu, Fan Zhu, Zhao Zhang:
A Joint Generative Model for Zero-Shot Learning. ECCV Workshops (4) 2018: 631-646 - [c48]Yulin Sun, Zhao Zhang, Weiming Jiang, Guangcan Liu, Meng Wang, Shuicheng Yan:
Robust Discriminative Projective Dictionary Pair Learning by Adaptive Representations. ICPR 2018: 621-626 - [c47]Lei Wang, Zhao Zhang, Guangcan Liu, Qiaolin Ye, Jie Qin, Meng Wang:
Robust Adaptive Low-Rank and Sparse Embedding for Feature Representation. ICPR 2018: 800-805 - [c46]Qiaolin Ye, Zhao Zhang:
Rotational Invariant Discriminant Subspace Learning For Image Classification. ICPR 2018: 1217-1222 - [c45]Zhao Zhang, Weiming Jiang, Sheng Li, Jie Qin, Guangcan Liu, Shuicheng Yan:
Robust Locality-Constrained Label Consistent K-SVD by Joint Sparse Embedding. ICPR 2018: 1664-1669 - [c44]Jiahuan Ren, Zhao Zhang, Sheng Li, Guangcan Liu, Meng Wang, Shuicheng Yan:
Robust Projective Low-Rank and Sparse Representation by Robust Dictionary Learning. ICPR 2018: 1851-1856 - [c43]Huan Zhang, Zhao Zhang, Sheng Li, Qiaolin Ye, Mingbo Zhao, Meng Wang:
Robust Adaptive Label Propagation by Double Matrix Decomposition. ICPR 2018: 2160-2165 - [c42]Zemin Tang, Zhao Zhang, Xiao-hu Ma, Jie Qin, Mingbo Zhao:
Robust Neighborhood Preserving Low-Rank Sparse CNN Features for Classification. PCM (1) 2018: 357-369 - [c41]Xiaotian Ma, Mingbo Zhao, Zhao Zhang, Jicong Fan, Choujun Zhan:
Anchored Projection Based Capped l_2, 1 -Norm Regression for Super-Resolution. PRICAI 2018: 10-18 - [c40]Lei Wang, Zhao Zhang, Sheng Li, Guangcan Liu, Chenping Hou, Jie Qin:
Similarity-Adaptive Latent Low-Rank Representation for Robust Data Representation. PRICAI (1) 2018: 71-84 - [c39]Jie Wu, Wenzhang Zhuge, Hong Tao, Chenping Hou, Zhao Zhang:
Incomplete Multi-view Clustering via Structured Graph Learning. PRICAI (1) 2018: 98-112 - [i1]Guangcan Liu, Qingshan Liu, Yubao Sun, Zhao Zhang, Meng Wang:
Fast and Robust Subspace Clustering Using Random Projections. CoRR abs/1803.11305 (2018) - 2017
- [j37]Zhenfeng Gu, Zhao Zhang, Jiabao Sun, Bing Li:
Robust image recognition by L1-norm twin-projection support vector machine. Neurocomputing 223: 1-11 (2017) - [j36]Zhao Zhang, Lei Wang, Lei Jia, Fanzhang Li, Li Zhang, Mingbo Zhao:
Projective label propagation by label embedding: A deep label prediction framework for representation and classification. Knowl. Based Syst. 119: 94-112 (2017) - [j35]Zhao Zhang, Lei Jia, Min Zhang, Bing Li, Li Zhang, Fanzhang Li:
Discriminative clustering on manifold for adaptive transductive classification. Neural Networks 94: 260-273 (2017) - [j34]Zhao Zhang, Mingbo Zhao, Fanzhang Li, Li Zhang, Shuicheng Yan:
Robust Alternating Low-Rank Representation by joint Lp- and L2, p-norm minimization. Neural Networks 96: 55-70 (2017) - [j33]Bangjun Wang, Li Zhang, Caili Wu, Fanzhang Li, Zhao Zhang:
Spectral clustering based on similarity and dissimilarity criterion. Pattern Anal. Appl. 20(2): 495-506 (2017) - [j32]Zhao Zhang, Yan Zhang, Fanzhang Li, Ming-Bo Zhao, Li Zhang, Shuicheng Yan:
Discriminative sparse flexible manifold embedding with novel graph for robust visual representation and label propagation. Pattern Recognit. 61: 492-510 (2017) - [j31]Tingwei Pei, Li Zhang, Bangjun Wang, Fanzhang Li, Zhao Zhang:
Decision pyramid classifier for face recognition under complex variations using single sample per person. Pattern Recognit. 64: 305-313 (2017) - [j30]Zhao Zhang, Weiming Jiang, Fanzhang Li, Mingbo Zhao, Bing Li, Li Zhang:
Structured Latent Label Consistent Dictionary Learning for Salient Machine Faults Representation-Based Robust Classification. IEEE Trans. Ind. Informatics 13(2): 644-656 (2017) - [j29]Zhao Zhang, Fanzhang Li, Mingbo Zhao, Li Zhang, Shuicheng Yan:
Robust Neighborhood Preserving Projection by Nuclear/L2, 1-Norm Regularization for Image Feature Extraction. IEEE Trans. Image Process. 26(4): 1607-1622 (2017) - [c38]Weiming Jiang, Zhao Zhang, Jie Qin, Mingbo Zhao, Fanzhang Li, Shuicheng Yan:
Robust Projective Dictionary Learning by Joint Label Embedding and Classification. ICDM Workshops 2017: 510-517 - [c37]Xiaojuan Huang, Li Zhang, Bangjun Wang, Zhao Zhang, Fanzhang Li:
Iterative Local Hyperlinear Learning Based Relief for Feature Weight Estimation. ICONIP (1) 2017: 345-355 - [c36]Mingbo Zhao, Wenlong Cheng, Zhao Zhang, Choujun Zhan:
Subspace Clustering via Adaptive Low-Rank Model. ICONIP (6) 2017: 462-470 - [c35]Mingbo Zhao, Zhao Zhang, Choujun Zhan, Wei Wang:
Graph based semi-supervised classification via capped l2, 1-norm regularized dictionary learning. INDIN 2017: 1019-1024 - 2016
- [j28]Xiao-hu Ma, Meng Yang, Zhao Zhang:
Local uncorrelated local discriminant embedding for face recognition. Frontiers Inf. Technol. Electron. Eng. 17(3): 212-223 (2016) - [j27]Weiming Jiang, Zhao Zhang, Fanzhang Li, Li Zhang, Ming-Bo Zhao, Xiaohang Jin:
Joint Label Consistent Dictionary Learning and Adaptive Label Prediction for Semisupervised Machine Fault Classification. IEEE Trans. Ind. Informatics 12(1): 248-256 (2016) - [j26]Zhao Zhang, Fanzhang Li, Ming-Bo Zhao, Li Zhang, Shuicheng Yan:
Joint Low-Rank and Sparse Principal Feature Coding for Enhanced Robust Representation and Visual Classification. IEEE Trans. Image Process. 25(6): 2429-2443 (2016) - [j25]Qiaolin Ye, Jian Yang, Tongming Yin, Zhao Zhang:
Can the Virtual Labels Obtained by Traditional LP Approaches Be Well Encoded in WLR? IEEE Trans. Neural Networks Learn. Syst. 27(7): 1591-1598 (2016) - [j24]Zhao Zhang, Fanzhang Li, Tommy W. S. Chow, Li Zhang, Shuicheng Yan:
Sparse Codes Auto-Extractor for Classification: A Joint Embedding and Dictionary Learning Framework for Representation. IEEE Trans. Signal Process. 64(14): 3790-3805 (2016) - [c34]Lei Jia, Zhao Zhang, Lei Wang, Weiming Jiang, Ming-Bo Zhao:
Adaptive Neighborhood Propagation by Joint L2, 1-Norm Regularized Sparse Coding for Representation and Classification. ICDM 2016: 201-210 - [c33]Zhao Zhang, Fanzhang Li, Mingbo Zhao, Li Zhang, Shuicheng Yan:
Nuclear-norm regularized neighborhood preserving projection. ICIP 2016: 56-60 - [c32]Li Zhang, Xiaojuan Huang, Bangjun Wang, Fanzhang Li, Zhao Zhang:
Hidden Space Neighbourhood Component Analysis for Cancer Classification. ICONIP (4) 2016: 44-51 - [c31]Lei Jia, Zhao Zhang, Yan Zhang:
Semi-supervised Classification by Nuclear-Norm Based Transductive Label Propagation. ICONIP (3) 2016: 375-384 - [c30]Xiaoyu Wang, Zhao Zhang, Yan Zhang:
Robust Soft Semi-supervised Discriminant Projection for Feature Learning. ICONIP (2) 2016: 445-453 - [c29]Yu Tang, Zhao Zhang, Weiming Jiang:
Two-Dimensional Soft Linear Discriminant Projection for Robust Image Feature Extraction and Recognition. ICONIP (4) 2016: 514-521 - [c28]Li Zhang, Ya-Ping Lu, Zhao Zhang, Bangjun Wang, Fanzhang Li:
Sparse Auto-encoder with Smoothed l_1 Regularization. ICONIP (3) 2016: 555-563 - [c27]Ming-Bo Zhao, Zhao Zhang, Wenlong Cheng, Zhao Zhang:
Joint lp- and l2, p-norm minimization for subspace clustering with outlier pursuit. IJCNN 2016: 3658-3665 - [c26]Ming-Bo Zhao, Zhao Zhang, Wenlong Cheng, Zhao Zhang:
Joint lp- and l2, p-norm minimization for subspace clustering with outlier pursuit. IJCNN 2016: 3658-3665 - [c25]Yan Zhang, Zhao Zhang, Lei Jia, Fanzhang Li:
Joint nuclear-norm nonlinear Manifold Learning and robust Classification by linear embedding. IJCNN 2016: 3758-3764 - [c24]Yu Tang, Zhao Zhang, Yan Zhang, Fanzhang Li:
Robust L1-norm matrixed locality preserving projection for discriminative subspace learning. IJCNN 2016: 4199-4204 - [c23]Zhao Zhang, Weiming Jiang, Lei Jia, Mingbo Zhao, Fanzhang Li:
Latent label consistent K-SVD for joint machine faults representation and classification. INDIN 2016: 794-799 - [c22]Lei Jia, Zhao Zhang, Weiming Jiang:
Transductive Classification by Robust Linear Neighborhood Propagation. PCM (1) 2016: 296-305 - [c21]Weiming Jiang, Zhao Zhang, Yan Zhang, Fanzhang Li:
Discriminative Sparse Coding by Nuclear Norm-Driven Semi-Supervised Dictionary Learning. PCM (1) 2016: 306-317 - 2015
- [j23]Zhao Zhang, Ming-Bo Zhao, Bing Li, Peng Tang, Fanzhang Li:
Simple yet effective color principal and discriminant feature extraction for representing and recognizing color images. Neurocomputing 149: 1058-1073 (2015) - [j22]Ming-Bo Zhao, Tommy W. S. Chow, Zhou Wu, Zhao Zhang, Bing Li:
Learning from normalized local and global discriminative information for semi-supervised regression and dimensionality reduction. Inf. Sci. 324: 286-309 (2015) - [j21]Ming-Bo Zhao, Tommy W. S. Chow, Zhao Zhang, Bing Li:
Automatic image annotation via compact graph based semi-supervised learning. Knowl. Based Syst. 76: 148-165 (2015) - [j20]Zhao Zhang, Shuicheng Yan, Ming-Bo Zhao, Fanzhang Li:
Bilinear low-rank coding framework and extension for robust image recovery and feature representation. Knowl. Based Syst. 86: 143-157 (2015) - [j19]Yuchen Liang, Zhao Zhang, Weiming Jiang, Ming-Bo Zhao, Fanzhang Li:
Bilinear Embedding Label Propagation: Towards Scalable Prediction of Image Labels. IEEE Signal Process. Lett. 22(12): 2411-2415 (2015) - [j18]Zhao Zhang, Cheng-Lin Liu, Ming-Bo Zhao:
A Sparse Projection and Low-Rank Recovery Framework for Handwriting Representation and Salient Stroke Feature Extraction. ACM Trans. Intell. Syst. Technol. 6(1): 9:1-9:26 (2015) - [j17]Zhao Zhang, Ming-Bo Zhao, Tommy W. S. Chow:
Graph Based Constrained Semi-Supervised Learning Framework via Label Propagation over Adaptive Neighborhood. IEEE Trans. Knowl. Data Eng. 27(9): 2362-2376 (2015) - [c20]Mingjun Gui, Xinfeng Zhang, Guangqin Hu, Chunmei Zhang, Zhao Zhang:
A study on tongue image color description based on label distribution learning. BMEI 2015: 148-152 - [c19]Zhao Zhang, Weiming Jiang, Fanzhang Li, Li Zhang, Ming-Bo Zhao, Lei Jia:
Projective Label Propagation by Label Embedding. CAIP (2) 2015: 470-481 - [c18]Xiaoyu Wang, Zhao Zhang, Yu Tang, Weiming Jiang, Fanzhang Li:
L1-Norm Driven Semi-supervised Local Discriminant Projection for Robust Image Representation. ICTAI 2015: 391-397 - [c17]Li Zhang, Weida Zhou, Zhao Zhang, Jiwen Yang:
A fast approximation algorithm for 1-norm SVM with squared loss. IJCNN 2015: 1-8 - [c16]Weiming Jiang, Zhao Zhang, Fanzhang Li, Li Zhang, Ming-Bo Zhao:
Semi-supervised label consistent dictionary learning for machine fault classification. INDIN 2015: 1124-1129 - [c15]Zhao Zhang, Li Zhang, Ming-Bo Zhao, Weiming Jiang, Yuchen Liang, Fanzhang Li:
Semi-Supervised Image Classification by Nonnegative Sparse Neighborhood Propagation. ICMR 2015: 139-146 - 2014
- [j16]Ming-Bo Zhao, Zhao Zhang, Tommy W. S. Chow, Bing Li:
Soft label based Linear Discriminant Analysis for image recognition and retrieval. Comput. Vis. Image Underst. 121: 86-99 (2014) - [j15]Ming-Bo Zhao, Xiaohang Jin, Zhao Zhang, Bing Li:
Fault diagnosis of rolling element bearings via discriminative subspace learning: Visualization and classification. Expert Syst. Appl. 41(7): 3391-3401 (2014) - [j14]Zhao Zhang, Shuicheng Yan, Ming-Bo Zhao:
Similarity preserving low-rank representation for enhanced data representation and effective subspace learning. Neural Networks 53: 81-94 (2014) - [j13]Ming-Bo Zhao, Zhao Zhang, Tommy W. S. Chow, Bing Li:
A general soft label based Linear Discriminant Analysis for semi-supervised dimensionality reduction. Neural Networks 55: 83-97 (2014) - [c14]Zhao Zhang, Fanzhang Li, Ming-Bo Zhao:
Transformed Neighborhood Propagation. ICPR 2014: 3792-3797 - [c13]Zhao Zhang, Ming-Bo Zhao, Tommy W. S. Chow:
Label propagation and soft-similarity measure for graph based Constrained Semi-Supervised Learning. IJCNN 2014: 2927-2934 - [c12]Zhao Zhang, Shuicheng Yan, Ming-Bo Zhao, Fanzhang Li:
Robust bilinear matrix recovery by Tensor Low-Rank Representation. IJCNN 2014: 2945-2951 - 2013
- [j12]Zhao Zhang, Tommy W. S. Chow, Ning Ye:
Semisupervised Multimodal Dimensionality Reduction. Comput. Intell. 29(1): 70-110 (2013) - [j11]Zhao Zhang, Tommy W. S. Chow, Ming-Bo Zhao:
M-Isomap: Orthogonal Constrained Marginal Isomap for Nonlinear Dimensionality Reduction. IEEE Trans. Cybern. 43(1): 180-191 (2013) - [j10]Zhao Zhang, Shuicheng Yan, Mingbo Zhao:
Pairwise Sparsity Preserving Embedding for Unsupervised Subspace Learning and Classification. IEEE Trans. Image Process. 22(12): 4640-4651 (2013) - [j9]Zhao Zhang, Tommy W. S. Chow, Ming-Bo Zhao:
Trace Ratio Optimization-Based Semi-Supervised Nonlinear Dimensionality Reduction for Marginal Manifold Visualization. IEEE Trans. Knowl. Data Eng. 25(5): 1148-1161 (2013) - [j8]Zhao Zhang, Ming-Bo Zhao, Tommy W. S. Chow:
Binary- and Multi-class Group Sparse Canonical Correlation Analysis for Feature Extraction and Classification. IEEE Trans. Knowl. Data Eng. 25(10): 2192-2205 (2013) - [c11]Zhao Zhang, Cheng-Lin Liu, Ming-Bo Zhao:
Handwriting representation and recognition through a sparse projection and low-rank recovery framework. IJCNN 2013: 1-8 - [c10]Zhao Zhang, Shuicheng Yan, Ming-Bo Zhao:
Robust image representation and decomposition by Laplacian regularized latent low-rank representation. IJCNN 2013: 1-7 - [c9]Zhao Zhang, Ming-Bo Zhao, Bing Li, Peng Tang:
ColorPCA: Color principal feature extraction technique for color image reconstruction and recognition. IJCNN 2013: 1-7 - [c8]Ming-Bo Zhao, Zhao Zhang, Zhao Zhang:
Learning from local and global discriminative information for semi-supervised dimensionality reduction. IJCNN 2013: 1-8 - [c7]Ming-Bo Zhao, Zhao Zhang, Zhao Zhang:
Learning from local and global discriminative information for semi-supervised dimensionality reduction. IJCNN 2013: 1-8 - [c6]Ming-Bo Zhao, Zhao Zhang, Zhao Zhang:
A soft label based linear discriminant analysis for semi-supervised dimensionality reduction. IJCNN 2013: 1-8 - [c5]Ming-Bo Zhao, Zhao Zhang, Zhao Zhang:
A soft label based linear discriminant analysis for semi-supervised dimensionality reduction. IJCNN 2013: 1-8 - 2012
- [j7]Zhao Zhang, Tommy W. S. Chow:
Maximum Margin Multisurface Support Tensor Machines with application to image classification and segmentation. Expert Syst. Appl. 39(1): 849-860 (2012) - [j6]Zhao Zhang, Tommy W. S. Chow:
Robust linearly optimized discriminant analysis. Neurocomputing 79: 140-157 (2012) - [j5]Zhao Zhang, Ming-Bo Zhao, Tommy W. S. Chow:
Marginal semi-supervised sub-manifold projections with informative constraints for dimensionality reduction and recognition. Neural Networks 36: 97-111 (2012) - [j4]Ming-Bo Zhao, Zhao Zhang, Tommy W. S. Chow:
Trace ratio criterion based generalized discriminative learning for semi-supervised dimensionality reduction. Pattern Recognit. 45(4): 1482-1499 (2012) - [j3]Zhao Zhang, Ming-Bo Zhao, Tommy W. S. Chow:
Constrained large Margin Local Projection algorithms and extensions for multimodal dimensionality reduction. Pattern Recognit. 45(12): 4466-4493 (2012) - [j2]Ming-Bo Zhao, Tommy W. S. Chow, Zhao Zhang:
Random walk-based fuzzy linear discriminant analysis for dimensionality reduction. Soft Comput. 16(8): 1393-1409 (2012) - [c4]Ming-Bo Zhao, Zhao Zhang, Tommy W. S. Chow:
On the Theoretical and Computational Analysis between SDA and Lap-LDA. ICTAI 2012: 122-129 - [c3]Zhao Zhang, Ming-Bo Zhao, Tommy W. S. Chow:
Extracting the informative constraints for semi-supervised marginal projections in multimodal dimensionality reduction. IJCNN 2012: 1-8 - [c2]Ming-Bo Zhao, Zhao Zhang, Tommy W. S. Chow, Zhou Wu:
On the theoretical and computational analysis between Trace Ratio LDA and null-space LDA. IJCNN 2012: 1-7 - 2011
- [j1]Zhao Zhang, Tommy W. S. Chow:
Tensor Locally Linear Discriminative Analysis. IEEE Signal Process. Lett. 18(11): 643-646 (2011) - [c1]Ming-Bo Zhao, Zhao Zhang, Tommy W. S. Chow:
ITR-Score algorithm: An efficient Trace ratio criterion based algorithm for supervised dimensionality reduction. IJCNN 2011: 145-152
Coauthor Index
aka: Zheng-Jun Zha
aka: Mingbo Zhao
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