Yu‐Jin Zhang - Concepedia

Author

Yu‐Jin Zhang

Also Known As

Xue Li, YU-JIN ZHANG, Yu-Jin ZHANG, Yu-Jin Zhang, Yu-jin Zhang, Yujin ZHANG, Yujin Zhang, Yu‐Jin Zhang, ZHANG YuJin, ZHANG Yujin

371

Publications

6.1K

Citations

H-Index

123

Concepts

All Affiliations

Tsinghua University Purdue University West Lafayette Beijing Institute of Technology

About

Yu‐Jin Zhang is an author at Tsinghua University specializing in engineering, machine vision, and computer vision.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	26	59	3.9K
2	Natural Sciences	4	4	124
3	Language Studies	3	3	116
4	Health Sciences	2	2	68
5	Public Health	1	1	12

Yu‐Jin Zhang

Publications

4.1K

Citations

H-Index

Page 1

	Year	Citations
NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results Radu Timofte, Eirikur Agustsson, Luc Van Gool, Rich DetailsSuper-resolution ImagingMachine VisionImage AnalysisMedical Imaging	2017	1.5K
RNN-Stega: Linguistic Steganography Based on Recurrent Neural Networks Zhongliang Yang, Xiaoqing Guo, Ziming Chen, IEEE Transactions on Information Forensics and Security Natural Language ProcessingLinguistic SteganographyData HidingEngineeringSteganalysis	2018	307
Learning to Super-Resolve Blurry Face and Text Images Xiangyu Xu, Deqing Sun, Jinshan Pan, Clear Highresolution ImageMachine VisionImage AnalysisMachine LearningEngineering	2017	247
Fast Human Detection by Boosting Histograms of Oriented Gradients Hui-Xing Jia, Yu‐Jin Zhang Face DetectionMotion DetectionFacial Recognition SystemMachine VisionImage Analysis	2007	187
Motion Blur Kernel Estimation via Deep Learning Xiangyu Xu, Jinshan Pan, Yu‐Jin Zhang, IEEE Transactions on Image Processing DeblurringDeblurring AlgorithmMachine VisionMachine LearningImage Analysis	2017	165
Image inpainting via sparse representation Bin Shen, Wei Hu, Yimin Zhang, Sparse RepresentationMachine VisionImage AnalysisMedical ImagingEngineering	2009	129
A Fast and Efficient Text Steganalysis Method Zhongliang Yang, Yongfeng Huang, Yu‐Jin Zhang IEEE Signal Processing Letters Natural Language ProcessingData HidingText SynthesisEngineeringMachine Learning	2019	96
Tensor completion via a multi-linear low-n-rank factorization model Huachun Tan, Bin Cheng, Wuhong Wang, Neurocomputing Tensor RankEngineeringMachine LearningMatrix FactorizationSparse Representation	2014	83
Ridler and Calvard’s, Kittler and Illingworth’s and Otsu’s methods for image thresholding Jing‐Hao Xue, Yu‐Jin Zhang Pattern Recognition Letters Otsu ’Machine VisionImage AnalysisMedical ImagingCalvard ’ S	2012	69
A Deep and Autoregressive Approach for Topic Modeling of Multimodal Data Yin Zheng, Yu‐Jin Zhang, Hugo Larochelle IEEE Transactions on Pattern Analysis and Machine Intelligence Latent Dirichlet AllocationMachine LearningEngineeringMultimodal LearningTopic Modeling	2015	67

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