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ORCIDJia Li 0002
Person information
- affiliation: Beijing Jiaotong University, Beijing Key Laboratory of Traffic Data Analysis and Mining, China
Other persons with the same name
- Jia Li — disambiguation page
- Jia Li 0001
![[0000-0002-6052-408X]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-6052-408X")
— Pennsylvania State University, Department of Statistics, University Park, PA, USA (and 1 more) - Jia Li 0003 — Beihang University, School of Computer Science and Engineering, State Key Laboratory of Virtual Reality Technology and Systems, Beijing, China (and 1 more)
- Jia Li 0004 — Inner Mongolia Agricultural University, College of Mechanical and Electrical Engineering, Hohhot, China
- Jia Li 0005 — Yunnan Normal University, College of Tourism and Geographical Science, Kunming, China
- Jia Li 0006 — Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology, China
- Jia Li 0007 — University of Paris-Saclay, France
- Jia Li 0008 — Sun Yat-sen University, China
- Jia Li 0009 — Hong Kong University of Science and Technology, Guangzhou, China (and 2 more)
- Jia Li 0010 — Oakland University, Department of Electrical and Computer Engineering, Rochester, MI, USA (and 1 more)
- Jia Li 0011 (aka: Jia Allen Li) — Peking University, School of Computer Science, Key Laboratory of High Confdence Software Technologies, Beijing, China
- Jia Li 0012 — Peking University, Key Lab of High Confidence Software Technology, Beijing, China (and 1 more)
- Jia Li 0013 — Hefei University of Technology, School of Computer and Information Engineering, Hefei, China (and 1 more)
- Jia Li 0014 — Hong Kong University of Science and Technology, Department of Computer Science and Engineering, Hong Kong
- Jia Li 0015 — Salesforce Research, Palo Alto, CA, USA
- Jia Li 0016 — Hohai University, College of Energy and Electrical Engineering, Nanjing, China
- Jia Li 0017 — Hohai University, School of Earth Sciences and Engineering, Nanjing, China
- Jia Li 0018 — Nanjing University of Aeronautics and Astronautics, College of Computer Science and Technology, Collaborative Innovation Center of Novel Software Technology and Industrialization, Nanjing, China
- Jia Li 0019 — Henan Institute of Science and Technology, School of Information Engineering, Xinxiang, China
- Jia Li 0020 — Capital Medical University, Beijing Friendship Hospital, Department of Radiology, Beijing, China
- Jia Li 0021 — KU Leuven, Faculty of Psychology and Educational Sciences, Leuven, Belgium
- Jia Li 0022 — Tsinghua University, School of Software, Beijing, China (and 1 more)
- Jia Li 0023 — Beijing Electrical Science and Technology Institute, Beijing, China (and 1 more)
- Jia Li 0024 — East China University of Science and Technology, School of Business, Shanghai, China
- Jia Li 0025 — Tsinghua University, Department of Computer Science and Technology, Tsinghua National Laboratory for Information Science and Technology, State Key Laboratory of Intelligent Technology and Systems, Beijing, China
- Jia Li 0026 — National Engineering Research Center of Speech and Language Information Processing, Hefei, China (and 1 more)
- Jia Li 0027 — Vanderbilt University Medical Center, Nashville, TN, USA
- Jia Li 0028 — Tianjin University, School of Electrical and Information Engineering, Tianjin, China
- Jia Li 0029 — Chongqing Technology and Business Institute, China (and 1 more)
- Jia Li 0030 — University of Ottawa, Canada
- Jia Li 0031 — PLA Navy Submarine Academy, Qingdao, China
- Jia Li 0032 — First Affiliated Hospital of Zhengzhou University, National Engineering Laboratory for Internet Medical Systems and Applications, Zhengzhou, China (and 1 more)
- Jia Li 0033 — National Computer Network Emergency Response Technical Team/Coordination Center of China, Beijing, China (and 1 more)
- Jia Li 0034 — Wuhan University, State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan, China
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2020 – today
- 2024
[j11]Chang Liu, Songze He, Jiajun Xu, Jia Li:
Fine-Tuning for Bayer Demosaicking Through Periodic-Consistent Self-Supervised Learning. IEEE Signal Process. Lett. 31: 989-993 (2024)- 2023
- [j10]Jia Li, Chen-Yan Bai, Hua Huang:
Universal Demosaicking for Interpolation-Friendly RGBW Color Filter Arrays. IEEE Trans. Image Process. 32: 3592-3605 (2023) - 2022
- [j9]Jia Li, Mingqing Xiao, Cong Fang, Yue Dai, Chao Xu, Zhouchen Lin:
Training Neural Networks by Lifted Proximal Operator Machines. IEEE Trans. Pattern Anal. Mach. Intell. 44(6): 3334-3348 (2022)
2010 – 2019
- 2019
- [j8]Bo Liu, Liping Jing, Jia Li, Jian Yu, Alex Gittens, Michael W. Mahoney:
Group Collaborative Representation for Image Set Classification. Int. J. Comput. Vis. 127(2): 181-206 (2019) - [c2]Jia Li, Cong Fang, Zhouchen Lin:
Lifted Proximal Operator Machines. AAAI 2019: 4181-4188 - 2018
- [j7]Chen-Yan Bai, Jia Li, Zhouchen Lin:
Demosaicking based on channel-correlation adaptive dictionary learning. J. Electronic Imaging 27(04): 043047 (2018) - [i1]Jia Li, Cong Fang, Zhouchen Lin:
Lifted Proximal Operator Machines. CoRR abs/1811.01501 (2018) - 2017
- [j6]Jia Li, Chen-Yan Bai, Zhouchen Lin, Jian Yu:
Automatic Design of High-Sensitivity Color Filter Arrays With Panchromatic Pixels. IEEE Trans. Image Process. 26(2): 870-883 (2017) - [j5]Jia Li, Chen-Yan Bai, Zhouchen Lin, Jian Yu:
Optimized Color Filter Arrays for Sparse Representation-Based Demosaicking. IEEE Trans. Image Process. 26(5): 2381-2393 (2017) - 2016
- [j4]Bo Liu, Liping Jing, Jian Yu, Jia Li:
Robust graph learning via constrained elastic-net regularization. Neurocomputing 171: 299-312 (2016) - [j3]Jia Li, Chen-Yan Bai, Zhouchen Lin, Jian Yu:
Penrose high-dynamic-range imaging. J. Electronic Imaging 25(3): 033024 (2016) - [j2]Chen-Yan Bai, Jia Li, Zhouchen Lin, Jian Yu:
Automatic Design of Color Filter Arrays in the Frequency Domain. IEEE Trans. Image Process. 25(4): 1793-1807 (2016) - 2015
- [j1]Chen-Yan Bai, Jia Li, Zhouchen Lin, Jian Yu, Yen-Wei Chen:
Penrose Demosaicking. IEEE Trans. Image Process. 24(5): 1672-1684 (2015) - 2014
- [c1]Bo Liu, Liping Jing, Jian Yu, Jia Li:
Constrained Least Squares Regression for Semi-Supervised Learning. PAKDD (2) 2014: 110-121
Coauthor Index
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