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ORCIDChao Yang 0021
Person information
- affiliation: Shanghai University, School of Communication and Information Engineering, Shanghai Institute for Advanced Communication and Data Science, China
- affiliation (2017 - 2018): University of Southern California, Ming-Hsieh Department of Electrical Engineering, Los Angeles, CA, USA
- affiliation (PhD 2017): Shanghai University, School of Communication and Information Engineering, China
- not to be confused with: Chao Yang 0011
Other persons with the same name
- Chao Yang — disambiguation page
- Chao Yang 0001
![[0000-0001-7172-7539]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-7172-7539")
— Lawrence Berkeley National Laboratory, Computational Research Division, CA, USA - Chao Yang 0002 — Peking University, Beijing, China (and 1 more)
- Chao Yang 0003 — Sun Yat-Sen University, School of Mathematics, Guangzhou, China (and 1 more)
- Chao Yang 0004 — Chinese Academy of Sciences, Institute of Process Engineering, Beijing, China
- Chao Yang 0005 — Guangdong University of Technology, School of Automation, Guangzhou, China (and 2 more)
- Chao Yang 0006 — Yanshan University, Institute of Electric Engineering, Qinhuangdao, China (and 1 more)
- Chao Yang 0007 — China University of Geosciences, National Engineering Research Center of Geographic Information System, Wuhan, China
- Chao Yang 0008 — Hunan University, College of Mathematics and Econometrics, Changsha, China
- Chao Yang 0009 — East China University of Science and Technology, Key Laboratory of Advanced Control and Optimization for Chemical Processes, Shanghai, China (and 1 more)
- Chao Yang 0010 — Shenzhen University, College of Information Engineering / Key Laboratory of Spatial Smart Sensing and Services, China
- Chao Yang 0011 — University of Southern California, Department of Computer Science, Los Angeles, CA, USA
- Chao Yang 0012 — National Digital Switching System Engineering and Technological Research Center, Zhengzhou, China
- Chao Yang 0013 — Tsinghua University, School of Public Policy and Management, Beijing, China (and 1 more)
- Chao Yang 0014 — Guilin University of Electronic Technology, MOE Key Laboratory of Cognitive Radio and Signal Processing, China
- Chao Yang 0015 — Hunan University, College of Computer Science and Electronic Engineering, Changsha, China (and 2 more)
- Chao Yang 0016 — Xidian University, School of Cyber Engineering, Xi'an, China
- Chao Yang 0017 — Central South University, School of Information Science and Engineering, Changsha, China
- Chao Yang 0018 — National University of Defense Technology, College of Computer, Changsha, China
- Chao Yang 0019 — Northeastern University, Shenyang, China (and 1 more)
- Chao Yang 0020 — University of Newcastle Upon Tyne, UK
- Chao Yang 0022 — Texas A&M University, Department of Computer Science and Engineering, College Station, TX, USA
- Chao Yang 0023 — University of Electronic Science and Technology of China, School of Life Science and Technology, Center of Bioinformatics, Chengdu, China
- Chao Yang 0024 — University of Technology Sydney, Australia (and 1 more)
- Chao Yang 0025 — Auburn University, Department of Electrical and Computer Engineering, USA
- Chao Yang 0026 — Tsinghua University, Beijing National Research Center for Information Science and Technology, Institute for Artificial Intelligence, Beijing, China
- Chao Yang 0027 — Southeast University, LEADS, National Mobile Communications Research Laboratory, Nanjing, China
- Chao Yang 0028 — Southwest Jiaotong University, Faculty of Geosciences and Environmental Engineering, Chengdu, China
- Chao Yang 0029 — Northwest Institute of Nuclear Technology, Xi'an, China (and 1 more)
- Chao Yang 0030 — Marvell Semiconductor, Austin, TX, USA (and 1 more)
- Chao Yang 0031 — Mobvoi Inc., WeNet Open Source Community, Beijing, China
- Chao Yang 0032 — Shanghai University of Engineering Science, School of Mathematics, Physics and Statistics, China (and 1 more)
- Chao Yang 0033 — University of Electronic Science and Technology of China, State Key Laboratory of Electronic Thin Films and Integrated Devices, Chengdu, China
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2020 – today
- 2024
[j24]Chao Yang, Siqian Qin, Ping An, Xinpeng Huang, Liquan Shen:
Content adaptive spatial-temporal rescaling for video coding optimization. Expert Syst. Appl. 254: 124482 (2024)- [j23]Wenjun Zheng, Chao Yang, Ping An, Xinpeng Huang, Liquan Shen:
Learning-based CU partition prediction for fast panoramic video intra coding. Expert Syst. Appl. 258: 125187 (2024) - [j22]Fanxi Yang, Chao Yang, Ping An, Xinpeng Huang:
360° video quality assessment based on saliency-guided viewport extraction. Multim. Syst. 30(2): 89 (2024) - [j21]Siqain Qin, Chao Yang, Ping An:
Content adaptive downsampling for low bitrate video coding. Multim. Tools Appl. 83(9): 26547-26563 (2024) - 2022
- [j20]Qinglin He, Chao Yang, Fanxi Yang, Ping An:
Unsupervised blind image quality assessment based on joint structure and natural scene statistics features. J. Vis. Commun. Image Represent. 87: 103579 (2022) - [j19]Shiao Zhang, Yilei Chen, Ping An, Xinpeng Huang, Chao Yang:
Light field occlusion removal network via foreground location and background recovery. Signal Process. Image Commun. 109: 116853 (2022) - [j18]Chao Yang, Ping An, Liquan Shen:
Blind Image Quality Measurement via Data-Driven Transform-Based Feature Enhancement. IEEE Trans. Instrum. Meas. 71: 1-12 (2022) - [j17]Chunli Meng, Ping An, Xinpeng Huang, Chao Yang, Liquan Shen, Bin Wang:
Objective Quality Assessment of Lenslet Light Field Image Based on Focus Stack. IEEE Trans. Multim. 24: 3193-3207 (2022) - 2021
- [j16]Chunli Meng, Ping An, Xinpeng Huang, Chao Yang, Yilei Chen:
Image Quality Evaluation of Light Field Image Based on Macro-Pixels and Focus Stack. Frontiers Comput. Neurosci. 15: 768021 (2021) - [j15]Chao Yang, Xinfeng Zhang, Ping An, Liquan Shen, C.-C. Jay Kuo:
Blind Image Quality Assessment Based on Multi-scale KLT. IEEE Trans. Multim. 23: 1557-1566 (2021) - [c10]Wenxin Ding, Ping An, Xin Liu, Chao Yang, Xinpeng Huang:
No-reference Panoramic Image Quality Assessment based on Adjacent Pixels Correlation. BMSB 2021: 1-5 - [c9]Fengyin Cao, Ping An, Xinpeng Huang, Chao Yang, Qiang Wu:
Multi-Models Fusion for Light Field Angular Super-Resolution. ICASSP 2021: 2365-2369 - 2020
- [j14]Zhipeng Jin, Ping An, Chao Yang, Liquan Shen:
Post-processing for intra coding through perceptual adversarial learning and progressive refinement. Neurocomputing 394: 158-167 (2020) - [j13]Chunli Meng, Ping An, Xinpeng Huang, Chao Yang, Deyang Liu:
Full Reference Light Field Image Quality Evaluation Based on Angular-Spatial Characteristic. IEEE Signal Process. Lett. 27: 525-529 (2020) - [j12]Yilei Chen, Ping An, Xinpeng Huang, Chao Yang, Deyang Liu, Qiang Wu:
Light Field Compression Using Global Multiplane Representation and Two-Step Prediction. IEEE Signal Process. Lett. 27: 1135-1139 (2020) - [j11]Xinfeng Zhang, Chao Yang, Haiqiang Wang, Wei Xu, C.-C. Jay Kuo:
Satisfied-User-Ratio Modeling for Compressed Video. IEEE Trans. Image Process. 29: 3777-3789 (2020) - [j10]Xinfeng Zhang, Chao Yang, Xiaoguang Li, Shan Liu, Haitao Yang, Ioannis Katsavounidis, Shawmin Lei, C.-C. Jay Kuo:
Image Coding With Data-Driven Transforms: Methodology, Performance and Potential. IEEE Trans. Image Process. 29: 9292-9304 (2020)
2010 – 2019
- 2019
- [j9]Liang Shan, Ping An, Chunli Meng, Xinpeng Huang, Chao Yang, Liquan Shen:
A No-Reference Image Quality Assessment Metric by Multiple Characteristics of Light Field Images. IEEE Access 7: 127217-127229 (2019) - [j8]Jinbo Zhao, Ping An, Xinpeng Huang, Chao Yang, Liquan Shen:
Light Field Image Compression via CNN-Based EPI Super-Resolution and Decoder-Side Quality Enhancement. IEEE Access 7: 135982-135998 (2019) - [c8]Chunli Meng, Ping An, Xinpeng Huang, Chao Yang:
Objective Quality Assessment for Light Field Based on Refocus Characteristic. ICIG (3) 2019: 193-204 - 2018
- [j7]Zhipeng Jin, Ping An, Chao Yang, Liquan Shen:
Fast QTBT Partition Algorithm for Intra Frame Coding through Convolutional Neural Network. IEEE Access 6: 54660-54673 (2018) - [j6]Deyang Liu, Ping An, Ran Ma, Chao Yang, Liquan Shen, Kai Li:
Scalable coding of 3D holoscopic image by using a sparse interlaced view image set and disparity map. Multim. Tools Appl. 77(1): 1261-1283 (2018) - [c7]Zhipeng Jin, Ping An, Chao Yang, Liquan Shen:
Quality Enhancement for Intra Frame Coding Via Cnns: An Adversarial Approach. ICASSP 2018: 1368-1372 - [c6]Haiqiang Wang, Xinfeng Zhang, Chao Yang, C.-C. Jay Kuo:
Analysis and Prediction of JND-Based Video Quality Model. PCS 2018: 278-282 - [i3]Haiqiang Wang, Xinfeng Zhang, Chao Yang, C.-C. Jay Kuo:
Analysis and prediction of JND-based video quality model. CoRR abs/1807.00681 (2018) - [i2]Haiqiang Wang, Xinfeng Zhang, Chao Yang, C.-C. Jay Kuo:
A JND-based Video Quality Assessment Model and Its Application. CoRR abs/1807.00920 (2018) - [i1]Haiqiang Wang, Ioannis Katsavounidis, Xinfeng Zhang, Chao Yang, C.-C. Jay Kuo:
A user model for JND-based video quality assessment: theory and applications. CoRR abs/1807.10894 (2018) - 2017
- [j5]Chao Yang, Ping An, Liquan Shen, Deyang Liu:
Adaptive Bit Allocation for 3D Video Coding. Circuits Syst. Signal Process. 36(5): 2102-2124 (2017) - [j4]Chao Yang, Ping An, Deyang Liu, Liquan Shen, Kai Li:
Bit allocation for 3D video coding based on lagrangian multiplier adjustment. Signal Process. Image Commun. 52: 1-5 (2017) - [c5]Deyang Liu, Ping An, Chao Yang, Ran Ma, Liquan Shen:
Coding of 3D holoscopic image by using spatial correlation of rendered view images. ICASSP 2017: 2002-2006 - [c4]Zhipeng Jin, Ping An, Liquan Shen, Chao Yang:
CNN oriented fast QTBT partition algorithm for JVET intra coding. VCIP 2017: 1-4 - 2016
- [j3]Deyang Liu, Ping An, Ran Ma, Chao Yang, Liquan Shen, Kai Li:
Three-dimensional holoscopic image coding scheme using high-efficiency video coding with kernel-based minimum mean-square-error estimation. J. Electronic Imaging 25(4): 043015 (2016) - [j2]Chao Yang, Ping An, Liquan Shen, Ran Ma, Nina Feng:
Fast depth map coding based on virtual view quality. Signal Process. Image Commun. 47: 183-192 (2016) - [j1]Deyang Liu, Ping An, Ran Ma, Chao Yang, Liquan Shen:
3D holoscopic image coding scheme using HEVC with Gaussian process regression. Signal Process. Image Commun. 47: 438-451 (2016) - [c3]Chao Yang, Ping An, Deyang Liu, Liquan Shen:
Depth map coding based on virtual view quality. ICASSP 2016: 1367-1371 - 2015
- [c2]Yu Hou, Ran Ma, Panpan Li, Ping An, Chao Yang:
A new hybrid error concealment for multi-view video. ChinaSIP 2015: 176-180 - [c1]Chao Yang, Ping An, Deyang Liu, Liquan Shen:
Virtual view distortion estimation for depth map coding. VCIP 2015: 1-4
Coauthor Index
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last updated on 2024-11-14 22:00 CET by the dblp team
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