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Ning Zhang 0039
Person information
- affiliation: Jiangnan University, Jiangsu, Wuxi, China
Other persons with the same name
- Ning Zhang — disambiguation page
- Ning Zhang 0001
— University of Manchester, School of Computer Science, UK (and 1 more) - Ning Zhang 0002 — Facebook
- Ning Zhang 0003 — Peking University, Beijing, China
- Ning Zhang 0004 — University of Electronic Science & Technology of China, Chengdu, China
- Ning Zhang 0005
— Tianjin University, Department of Biomedical Engineering, Tianjin, China - Ning Zhang 0006
— Stowers Institute for Medical Research, Kansas City, MO, USA (and 1 more) - Ning Zhang 0007
— University of Windsor, Canada (and 2 more) - Ning Zhang 0008
— Tsinghua University, State Key Laboratory of Power Systems, Beijing, China (and 1 more) - Ning Zhang 0009
— Nanjing Marine Radar Institute, China (and 1 more)
- Ning Zhang 0010
— National Huaqiao University, School of Computer Science and Technology, Xiamen, China - Ning Zhang 0011
— Beijing Jiaotong University, School of Electrical Engineering, China - Ning Zhang 0012 — Dalian University of Technology, School of Control Science and Engineering, China
- Ning Zhang 0013 — University of Wisconsin-Madison, Computer Sciences Department, USA
- Ning Zhang 0014 — Snapchat Inc., Venice, CA, USA (and 1 more)
- Ning Zhang 0015 — Chinese Academy of Sciences, Institute of Automation, Beijing, China
- Ning Zhang 0016
— Qingdao University, School of Business, China (and 1 more) - Ning Zhang 0017
— Washington University in St. Louis, St. Louis, MO, USA (and 1 more) - Ning Zhang 0018
— National University of Singapore, Department of Mathematics, Singapore - Ning Zhang 0019
— Minzu University of China, Beijing, China - Ning Zhang 0020
— Yanshan University, School of Economics and Management, Qinhuangdao, China - Ning Zhang 0021
— Rutgers University, New Brunswick, NJ, USA - Ning Zhang 0022 — Central University of Finance and Economics, School of Information, Beijing, China
- Ning Zhang 0023 — Ryerson University, Department of Electrical and Computer Engineering, Toronto, ON, Canada (and 1 more)
- Ning Zhang 0024
— Zhejiang Lab, Research Center for Quantum Sensing, Intelligent Perception Research Institute, Hangzhou, China (and 1 more) - Ning Zhang 0025
— Tsinghua University, Department of Electronic Engineering, Beijing, China - Ning Zhang 0026
— Beijing Normal University, Faculty of Arts and Sciences, Research Center for Digital Publishing and Digital Humanities, Zhuhai, China (and 1 more) - Ning Zhang 0027 — PLA Communication Network Technology Management Center, Beijing, China
- Ning Zhang 0028
— Yunnan University, National Pilot School of Software, Kunming, China - Ning Zhang 0029 — Naval University of Engineering, School of Weaponry Engineering, Wuhan, China
- Ning Zhang 0030
— Northwest Normal University, College of Computer Science and Engineering, Lanzhou, China - Ning Zhang 0031
— National Research Center for Rehabilitation Technical Aids, Beijing, China - Ning Zhang 0032
— Sun Yat-sen University, Guangzhou, Guangdong, China - Ning Zhang 0033
— Institute of Forensic Science, Ministry of Public Security, Beijing, China - Ning Zhang 0034
— Hong Kong Polytechnic University, Hong Kong, SAR, China - Ning Zhang 0035
— Harbin Institute of Technology, Shenzhen, China - Ning Zhang 0036
— Beijing University of Chemical Technology (BUCT), Beijing, China - Ning Zhang 0037
— Anhui University, Hefei, China - Ning Zhang 0038
— Shandong University, Weihai, China - Ning Zhang 0040
— Shanghai Jiao Tong University, Shanghai, China - Ning Zhang 0041
— Nanjing University, Nanjing, China - Ning Zhang 0042
— Beijing Institute of Technology, Beijing, China
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2020 – today
- 2026
[j13]Yunjiao Ma, Zhenzhen He, Jun Xiang, Ning Zhang, Ruru Pan:
Structural hint-guided colorization network for sketch colorization. Displays 93: 103373 (2026)- 2025
[j12]Bo Pan
, Jun Xiang, Ning Zhang
, Ruru Pan:
Two-stage attribute-guided dual attention network for fine-grained fashion retrieval. Comput. Vis. Image Underst. 261: 104497 (2025)
[j11]Bo Pan
, Jun Xiang, Ning Zhang, Ruru Pan:
A fine-grained attributes recognition model for clothing based on improved the CSPDarknet and PAFPN network. Signal Image Video Process. 19(3): 230 (2025)
[j10]Bingpeng Song, Wentao He, Ning Zhang, Jun Xiang, Ruru Pan:
Slub extraction and measurement in denim fabric images based on conditional image-to-image translation. Signal Image Video Process. 19(4): 301 (2025)- 2024
[j9]Jun Xiang, Ning Zhang
, Ruru Pan:
Cross-modal fabric image-text retrieval based on convolutional neural network and TinyBERT. Multim. Tools Appl. 83(21): 59725-59746 (2024)
[j8]Wentao He, Bingpeng Song, Ning Zhang, Jun Xiang, Ruru Pan:
Toward accurate and realistic garment texture transfer with attention to details. Neural Comput. Appl. 36(21): 12991-13007 (2024)
[j7]Ning Zhang, Yixin Liu, Zhongjian Li, Jun Xiang, Ruru Pan:
Fabric image retrieval based on multi-modal feature fusion. Signal Image Video Process. 18(3): 2207-2217 (2024)
[j6]Wentao He, Bingpeng Song, Ning Zhang, Jun Xiang, Ruru Pan:
Modeling and realization of image-based garment texture transfer. Vis. Comput. 40(9): 6063-6079 (2024)- 2023
[j5]Wentao He, Ning Zhang, Bingpeng Song, Ruru Pan:
Garment reconstruction from a single-view image based on pixel-aligned implicit function. Multim. Tools Appl. 82(19): 30247-30265 (2023)- 2022
[j4]Ning Zhang, Renzo Shamey
, Jun Xiang, Ruru Pan, Weidong Gao:
A novel image retrieval strategy based on transfer learning and hand-crafted features for wool fabric. Expert Syst. Appl. 191: 116229 (2022)- 2021
[j3]Jun Xiang
, Ning Zhang
, Ruru Pan, Weidong Gao:
Efficient fine-texture image retrieval using deep multi-view hashing. Comput. Graph. 101: 93-105 (2021)
[j2]Jun Xiang
, Ning Zhang
, Ruru Pan
, Weidong Gao
:
Fabric Retrieval Based on Multi-Task Learning. IEEE Trans. Image Process. 30: 1570-1582 (2021)
2010 – 2019
- 2019
[j1]Jun Xiang
, Ning Zhang, Ruru Pan, Weidong Gao:
Fabric Image Retrieval System Using Hierarchical Search Based on Deep Convolutional Neural Network. IEEE Access 7: 35405-35417 (2019)
Coauthor Index

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last updated on 2026-03-21 01:13 CET by the dblp team
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