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ORCIDJing Zhang 0037
Person information
- affiliation: University of Sydney, School of Computer Science, Faculty of Engineering, UBTECH Sydney Artificial Intelligence Centre, NSW, Australia
- affiliation (2017 - 2018): Hangzhou Dianzi University, School of Automation, China
- affiliation (2016 - 2017): iFLYTEK Research, Hefei, China
- affiliation (2015 - 2016): ZTE Shanghai R&D Center, Shanghai, China
- affiliation (PhD 2015): University of Science and Technology of China, Department of Automation, Hefei, China
Other persons with the same name
- Jing Zhang — disambiguation page
- Jing Zhang 0001
![[0000-0003-2019-225X]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-2019-225X")
— Renmin University, Department of Computer Science, Beijing, China (and 1 more) - Jing Zhang 0002 — Mount Sinai School of Medicine, New York, USA
- Jing Zhang 0003 — Motorola Labs (and 1 more)
- Jing Zhang 0005 — University of California, Irvine, CA, USA
- Jing Zhang 0006 — Clark University, MA, USA
- Jing Zhang 0007 — Shanghai Jiao-Tong University, China
- Jing Zhang 0008 — Panasonic R&D (and 1 more)
- Jing Zhang 0009 — Xi'an University of Technology, School of Computer Science and Engineering, China
- Jing Zhang 0010 (aka: Jing Maria Zhang) — Georgia State University, Department of Mathematics and Statistics, Atlanta, GA, USA (and 1 more)
- Jing Zhang 0011 — Mobile Technologies, Pittsburgh, PA, USA
- Jing Zhang 0012 — Tsinghua University, Institute for Theoretical Computer Science, China
- Jing Zhang 0013 — North Carolina Agricultural and Technical State University, Greensboro, NC, USA (and 3 more)
- Jing Zhang 0014 — Hunan Institute of Science and Technology, College of Physics and Electronics, Yueyang, China (and 1 more)
- Jing Zhang 0015 — Nanjing University of Science and Technology, School of Computer Science and Engineering, China (and 2 more)
- Jing Zhang 0017 — University of Wollongong, School of Computing and Information Technology, NSW, Australia
- Jing Zhang 0018 — Beijing Union University, Basic Courses Department, China
- Jing Zhang 0019 — Chinese Academy of Sciences, Beijing Institute of Genomics, China
- Jing Zhang 0020 — Xi'an Jiaotong University, Frontier Institute of Science and Techonology, China (and 1 more)
- Jing Zhang 0021 — Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China
- Jing Zhang 0022 — Guizhou University, School of Electrical Engineering, Guiyang, China (and 1 more)
- Jing Zhang 0023 — Beijing University of Technology, Faculty of Information Technology, Signal and Information Processing Laboratory, China (and 1 more)
- Jing Zhang 0024 — Anhui University, School of Computer Science and Technology, Hefei, China
- Jing Zhang 0025 — Huazhong University of Science and Technology, School of Electronic Information and Communications, Wuhan, China (and 1 more)
- Jing Zhang 0026 — Wuhan University, School of Mathematics and Statistics, China
- Jing Zhang 0027 — University of Michigan, Department of Electrical Engineering and Computer Science, Ann Arbor, MI, USA
- Jing Zhang 0028 — Dalian University of Technology, School of Computer Science and Technology, China
- Jing Zhang 0029 — Gyeongsang National University, Department of Computer Science, Korea (and 1 more)
- Jing Zhang 0030 — Boston University, Division of Systems Engineering, MA, USA
- Jing Zhang 0031 — Southeast University, National Mobile Communications Research Laboratory, Nanjing, China
- Jing Zhang 0032 — Changchun University of Science and Technology, College of Computer Science and Technology, China (and 1 more)
- Jing Zhang 0033 — Beijing Normal University, State Key Laboratory of Cognitive Neuroscience and Learning / IDG/McGovern Institute for Brain Research, China
- Jing Zhang 0034 — Harbin Engineering University, Computer Science and Technology, China (and 1 more)
- Jing Zhang 0035 — Qingdao University of Science and Technology, School of Mathematics and Physics, China (and 1 more)
- Jing Zhang 0036 — Tsinghua University, Department of Computer Science and Technology, Beijing, China
- Jing Zhang 0038 — Tianjin University, School of Electrical and Information Engineering, China
- Jing Zhang 0039 — Virginia Tech, Department of Computer Science, Blacksburg, VA, USA
- Jing Zhang 0040 — Fujian University of Technology, College of Information Science and Engineering, Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fuzhou, China
- Jing Zhang 0041 — East China University of Science and Technology, Department of Computer Science and Engineering, Shanghai, China
- Jing Zhang 0042 — Tsinghua University, Department of Automation, Beijing, China
- Jing Zhang 0043 — University of Electronic Science and Technology of China, School of Optoelectronic Information, MOEMIL Laboratory, Chengdu, China
- Jing Zhang 0044 — University of California, San Diego, Department of Biomedical Informatics, CA, USA
- Jing Zhang 0045 — Southwest Jiaotong University, School of Electrical Engineering, Chengdu, China
- Jing Zhang 0046 — University of Electronic Science and Technology of China, School of Communication and Information Engineering, MOE Key Laboratory of Optical Fiber Sensing and Communications, Chengdu, China
- Jing Zhang 0047 — Wuhan University, LIEMARS, China
- Jing Zhang 0048 — Petrochina, Research Institute of Petroleum Exploration and Development, Sichuan Basin Research Center, Beijing, China
- Jing Zhang 0049 — Northwestern Polytechnical University, School of Computer Science, Xi'an, China
- Jing Zhang 0050 — Lamar University, Department of Computer Science, Beaumont, TX, USA
- Jing Zhang 0051 — Sichuan University, College of Electrical Engineering and Information Technology, China
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2020 – today
- 2021
[j15]Zhe Chen, Jing Zhang, Dacheng Tao:
Recursive Context Routing for Object Detection. Int. J. Comput. Vis. 129(1): 142-160 (2021)- 2020
- [j14]Muqing Deng, Tingchang Fan, Jiuwen Cao, Siu-Ying Fung, Jing Zhang:
Human gait recognition based on deterministic learning and knowledge fusion through multiple walking views. J. Frankl. Inst. 357(4): 2471-2491 (2020) - [j13]Jing Zhang, Jing Tian, Yang Cao, Yuxiang Yang, Xiaobin Xu:
Deep time-frequency representation and progressive decision fusion for ECG classification. Knowl. Based Syst. 190: 105402 (2020) - [j12]Muqing Deng, Tingting Meng, Jiuwen Cao, Shimin Wang, Jing Zhang, Huijie Fan:
Heart sound classification based on improved MFCC features and convolutional recurrent neural networks. Neural Networks 130: 22-32 (2020) - [j11]Jing Zhang, Dacheng Tao:
FAMED-Net: A Fast and Accurate Multi-Scale End-to-End Dehazing Network. IEEE Trans. Image Process. 29: 72-84 (2020) - [c29]Haoyu He, Jing Zhang, Qiming Zhang, Dacheng Tao:
Grapy-ML: Graph Pyramid Mutual Learning for Cross-Dataset Human Parsing. AAAI 2020: 10949-10956 - [c28]Yang Wang, Yang Cao, Zheng-Jun Zha, Jing Zhang, Zhiwei Xiong:
Deep Degradation Prior for Low-Quality Image Classification. CVPR 2020: 11046-11055 - [c27]Shuai Fang, Xiao Wang, Jing Zhang, Yang Cao:
Pan-Sharpening Based On Parallel Pyramid Convolutional Neural Network. ICIP 2020: 453-457 - [c26]Jing Zhang, Yang Cao, Zheng-Jun Zha, Dacheng Tao:
Nighttime Dehazing with a Synthetic Benchmark. ACM Multimedia 2020: 2355-2363 - [c25]Benteng Ma, Jing Zhang, Yong Xia, Dacheng Tao:
Auto Learning Attention. NeurIPS 2020 - [c24]Hong Wen, Jing Zhang, Yuan Wang, Fuyu Lv, Wentian Bao, Quan Lin, Keping Yang:
Entire Space Multi-Task Modeling via Post-Click Behavior Decomposition for Conversion Rate Prediction. SIGIR 2020: 2377-2386 - [i22]Jing Zhang, Zhe Chen, Dacheng Tao:
Towards High Performance Human Keypoint Detection. CoRR abs/2002.00537 (2020) - [i21]Zhe Chen, Jing Zhang, Dacheng Tao:
Condensing Two-stage Detection with Automatic Object Key Part Discovery. CoRR abs/2006.05597 (2020) - [i20]Jing Zhang, Yang Cao, Zheng-Jun Zha, Dacheng Tao:
Nighttime Dehazing with a Synthetic Benchmark. CoRR abs/2008.03864 (2020) - [i19]Jizhizi Li, Jing Zhang, Stephen J. Maybank, Dacheng Tao:
End-to-end Animal Image Matting. CoRR abs/2010.16188 (2020) - [i18]Jing Zhang, Dacheng Tao:
Empowering Things with Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things. CoRR abs/2011.08612 (2020) - [i17]Jinlong Fan, Jing Zhang, Stephen J. Maybank, Dacheng Tao:
Wide-angle Image Rectification: A Survey. CoRR abs/2011.12108 (2020) - [i16]Benteng Ma, Jing Zhang, Yong Xia, Dacheng Tao:
Inter-layer Transition in Neural Architecture Search. CoRR abs/2011.14525 (2020) - [i15]Yufei Xu, Jing Zhang, Stephen J. Maybank, Dacheng Tao:
DUT: Learning Video Stabilization by Simply Watching Unstable Videos. CoRR abs/2011.14574 (2020) - [i14]Jinlong Fan, Jing Zhang, Dacheng Tao:
SIR: Self-supervised Image Rectification via Seeing the Same Scene from Multiple Different Lenses. CoRR abs/2011.14611 (2020) - [i13]Haoyu He, Jing Zhang, Bhavani M. Thuraisingham, Dacheng Tao:
Progressive One-shot Human Parsing. CoRR abs/2012.11810 (2020)
2010 – 2019
- 2019
- [j10]Zhe Chen, Jing Zhang, Dacheng Tao:
Progressive LiDAR adaptation for road detection. IEEE CAA J. Autom. Sinica 6(3): 693-702 (2019) - [j9]Mingyu Gao, Yujie Du, Yuxiang Yang, Jing Zhang:
Adaptive anchor box mechanism to improve the accuracy in the object detection system. Multim. Tools Appl. 78(19): 27383-27402 (2019) - [c23]Hong Wen, Jing Zhang, Quan Lin, Keping Yang, Pipei Huang:
Multi-Level Deep Cascade Trees for Conversion Rate Prediction in Recommendation System. AAAI 2019: 338-345 - [c22]Tingting Qiao, Jing Zhang, Duanqing Xu, Dacheng Tao:
MirrorGAN: Learning Text-To-Image Generation by Redescription. CVPR 2019: 1505-1514 - [c21]Wei Zhai, Yang Cao, Jing Zhang, Zheng-Jun Zha:
Deep Multiple-Attribute-Perceived Network for Real-World Texture Recognition. ICCV 2019: 3612-3621 - [c20]Yang Wang, Yang Cao, Zheng-Jun Zha, Jing Zhang, Zhiwei Xiong, Wei Zhang, Feng Wu:
Progressive Retinex: Mutually Reinforced Illumination-Noise Perception Network for Low-Light Image Enhancement. ACM Multimedia 2019: 2015-2023 - [c19]Qiming Zhang, Jing Zhang, Wei Liu, Dacheng Tao:
Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation. NeurIPS 2019: 433-443 - [c18]Tingting Qiao, Jing Zhang, Duanqing Xu, Dacheng Tao:
Learn, Imagine and Create: Text-to-Image Generation from Prior Knowledge. NeurIPS 2019: 885-895 - [i12]Jing Zhang, Jing Tian, Yang Cao, Yuxiang Yang, Xiaobin Xu, Chenglin Wen:
Fine-grained ECG Classification Based on Deep CNN and Online Decision Fusion. CoRR abs/1901.06469 (2019) - [i11]Tingting Qiao, Jing Zhang, Duanqing Xu, Dacheng Tao:
MirrorGAN: Learning Text-to-image Generation by Redescription. CoRR abs/1903.05854 (2019) - [i10]Zhe Chen, Jing Zhang, Dacheng Tao:
Progressive LiDAR Adaptation for Road Detection. CoRR abs/1904.01206 (2019) - [i9]Jing Zhang, Dacheng Tao:
FAMED-Net: A Fast and Accurate Multi-scale End-to-end Dehazing Network. CoRR abs/1906.04334 (2019) - [i8]Hong Wen, Jing Zhang, Yuan Wang, Wentian Bao, Quan Lin, Keping Yang:
Conversion Rate Prediction via Post-Click Behaviour Modeling. CoRR abs/1910.07099 (2019) - [i7]Jing Zhang, Zhe Chen, Dacheng Tao:
Human Keypoint Detection by Progressive Context Refinement. CoRR abs/1910.12223 (2019) - [i6]Qiming Zhang, Jing Zhang, Wei Liu, Dacheng Tao:
Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation. CoRR abs/1910.13049 (2019) - [i5]Yang Wang, Yang Cao, Zheng-Jun Zha, Jing Zhang, Zhiwei Xiong, Wei Zhang, Feng Wu:
Progressive Retinex: Mutually Reinforced Illumination-Noise Perception Network for Low Light Image Enhancement. CoRR abs/1911.11323 (2019) - [i4]Haoyu He, Jing Zhang, Qiming Zhang, Dacheng Tao:
Grapy-ML: Graph Pyramid Mutual Learning for Cross-dataset Human Parsing. CoRR abs/1911.12053 (2019) - 2018
- [c17]Mingxin Kong, Jing Zhang, Weifeng Liu, Guilin Zhang:
Radar Emitter Identification Based on Deep Convolutional Neural Network. ICCAIS 2018: 309-314 - [c16]Yan Li, Mingyue Yang, Siyu Ji, Jing Zhang, Chenglin Wen:
An Online-Updating Deep CNN Method Based on Kalman Filter for Illumination-Drifting Road Damage Classification. ICCAIS 2018: 395-400 - [c15]Jing Zhang, Deqing Zhang, Mingyue Yang, Xiaobin Xu, Weifeng Liu, Chenglin Wen:
Fault Diagnosis for Rotating Machinery with Scarce Labeled Samples: A Deep CNN Method Based on Knowledge-Transferring from Shallow Models. ICCAIS 2018: 482-487 - [c14]Mingyue Yang, Jing Zhang, Yuxiang Yang, Chenglin Wen:
Modelling Spatial Correlations by Using Deep CNN and LSTM for Texture Image Classification. ISIE 2018: 759-764 - [c13]Jing Zhang, Yang Cao, Yang Wang, Chenglin Wen, Chang Wen Chen:
Fully Point-wise Convolutional Neural Network for Modeling Statistical Regularities in Natural Images. ACM Multimedia 2018: 984-992 - [c12]Xiao-Hui Yang, Chen-Xi Tian, Fei-Ya Lv, Jing Zhang, Zheng-Jun Zha:
Particle Swarm Programming-Based Interactive Content-Based Image Retrieval. PCM (3) 2018: 99-111 - [i3]Jing Zhang, Yang Cao, Yang Wang, Zheng-Jun Zha, Chenglin Wen, Chang Wen Chen:
Fully Point-wise Convolutional Neural Network for Modeling Statistical Regularities in Natural Images. CoRR abs/1801.06302 (2018) - [i2]Hong Wen, Jing Zhang, Quan Lin, Keping Yang, Taiwei Jin, Fuyu Lv, Xiaofeng Pan, Pipei Huang, Zheng-Jun Zha:
Multi-Level Deep Cascade Trees for Conversion Rate Prediction. CoRR abs/1805.09484 (2018) - 2017
- [c11]Jing Zhang, Yang Cao, Shuai Fang, Yu Kang, Chang Wen Chen:
Fast Haze Removal for Nighttime Image Using Maximum Reflectance Prior. CVPR 2017: 7016-7024 - [c10]Yang Wang, Jing Zhang, Yang Cao, Zengfu Wang:
A deep CNN method for underwater image enhancement. ICIP 2017: 1382-1386 - [c9]Jiang Zhu, Jing Zhang, Yang Cao, Zengfu Wang:
Image guided depth enhancement via deep fusion and local linear regularizaron. ICIP 2017: 4068-4072 - 2016
- [j8]Yang Cao, Kai Kang, Shijie Zhang, Jing Zhang, Zengfu Wang:
Automatic tag saliency ranking for stereo images. Neurocomputing 172: 9-18 (2016) - [j7]Kai Kang, Yang Cao, Jing Zhang, Zengfu Wang:
Salient object detection and classification for stereoscopic images. Multim. Tools Appl. 75(3): 1443-1457 (2016) - [j6]Jing Zhang, Yang Cao, Zheng-Jun Zha, Zhigang Zheng, Chang Wen Chen, Zengfu Wang:
A Unified Scheme for Super-Resolution and Depth Estimation From Asymmetric Stereoscopic Video. IEEE Trans. Circuits Syst. Video Technol. 26(3): 479-493 (2016) - [c8]Cao Yang, Kai Kang, Jing Zhang, Zengfu Wang:
Fast response aggregation for depth estimation using light field camera. ICASSP 2016: 1636-1640 - [i1]Jing Zhang, Yang Cao, Zengfu Wang:
Nighttime Haze Removal with Illumination Correction. CoRR abs/1606.01460 (2016) - 2015
- [j5]Yuxiang Yang, Mingyu Gao, Jing Zhang, Zheng-Jun Zha, Zengfu Wang:
Depth map super-resolution using stereo-vision-assisted model. Neurocomputing 149: 1396-1406 (2015) - [c7]Kai Kang, Jing Zhang, Yang Cao, Zengfu Wang:
Simultaneously Retargeting and Super-Resolution for Stereoscopic Video. CCCV (2) 2015: 31-40 - 2014
- [j4]Baocai Yin, Jing Zhang, Zengfu Wang:
Background segmentation of dynamic scenes based on dual model. IET Comput. Vis. 8(6): 545-555 (2014) - [j3]Yang Cao, Shijie Zhang, Zheng-Jun Zha, Jing Zhang, Chang Wen Chen:
A novel segmentation based video-denoising method with noise level estimation. Inf. Sci. 281: 507-520 (2014) - [j2]Yuxiang Yang, Jing Zhang, Zhiwei He, Mingyu Gao:
Depth map super-resolution via local and nonlocal priors. J. Electronic Imaging 23(2): 023019 (2014) - [j1]Jing Zhang, Yang Cao, Zhigang Zheng, Chang Wen Chen, Zengfu Wang:
A new closed loop method of super-resolution for multi-view images. Mach. Vis. Appl. 25(7): 1685-1695 (2014) - [c6]Jing Zhang, Yang Cao, Zengfu Wang:
A new image filtering method: Nonlocal image guided averaging. ICASSP 2014: 2460-2464 - [c5]Jing Zhang, Yang Cao, Zengfu Wang:
Nighttime haze removal based on a new imaging model. ICIP 2014: 4557-4561 - [c4]Shijie Zhang, Jing Zhang, Shuai Fang, Yang Cao:
Underwater stereo image enhancement using a new physical model. ICIP 2014: 5422-5426 - 2013
- [c3]Jing Zhang, Yang Cao, Zengfu Wang:
A simultaneous method for 3D video super-resolution and high-quality depth estimation. ICIP 2013: 1346-1350 - [c2]Jing Zhang, Yang Cao, Zhigang Zheng, Zengfu Wang:
A New Closed Loop Method of Super-Resolution for Multi-view Images. MMM (2) 2013: 154-164 - [c1]Shijie Zhang, Jing Zhang, Zhe Yuan, Shuai Fang, Yang Cao:
A Novel Segmentation-Based Video Denoising Method with Noise Level Estimation. MMM (1) 2013: 272-282
Coauthor Index
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