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ORCIDJun Ma 0020
Person information
- affiliation: North Minzu University, School of Mathematics and Information Sciences, Yinchuan, China
- affiliation: China Agricultural University, College of Information and Electrical Engineering, Beijing, China
Other persons with the same name
- Jun Ma — disambiguation page
- Jun Ma 0001
![[0000-0003-0203-4610]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-0203-4610")
— Shandong University, School of Computer Science and Technology, Jinan, China (and 1 more) - Jun Ma 0002 — University of Wollongong, SMART Infrastructure Facility, NSW, Australia (and 2 more)
- Jun Ma 0003 — Lanzhou University of Technology, China (and 1 more)
- Jun Ma 0004 — University of Aizu, Graduate Department of Computer and Information Systems, Aizu-Wakamatsu, Japan
- Jun Ma 0005 — Fudan University, State Key Laboratory of ASIC & System, Shanghai, China
- Jun Ma 0006 — Qualcomm, San Diego, CA, USA (and 1 more)
- Jun Ma 0007 — Marvell Semiconductors Inc., Santa Clara, CA, USA (and 1 more)
- Jun Ma 0008 — Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China (and 1 more)
- Jun Ma 0009 — Kunming University of Science and Technology, Faculty of Information Engineering and Automation, Yunnan Key Laboratory of Artificial Intelligence, Kunming, China (and 1 more)
- Jun Ma 0010 — Nanjing University, Department of Computer Science and Technology, State Key Laboratory for Novel Software Technology, Nanjing, China
- Jun Ma 0011 — Broadcom Corporation, Irvine, CA, USA (and 2 more)
- Jun Ma 0012 — Shanghai Jiao Tong University, School of Microelectronics, Shanghai, China
- Jun Ma 0013 — Northwest Minzu University, School of Mathematics and Computer Science, Lanzhou, China
- Jun Ma 0014 — Qualcomm, Inc., San Diego, USA (and 1 more)
- Jun Ma 0015 — National University of Defense Technology, College of Computer, Changsha, China
- Jun Ma 0016 — University of Toronto, Department of Laboratory Medicine and Pathobiology, ON, Canada (and 1 more)
- Jun Ma 0017 — Shanghai Jiaotong University, Department of Mathematics, Shanghai, China
- Jun Ma 0018 — Ping An Technology, China
- Jun Ma 0019 — Macquarie University, Department of Statistics, North Ryde, Australia
- Jun Ma 0021 — Chinese Academy of Sciences, Institute of Plasma Physics, Hefei, China
- Jun Ma 0022 — Fudan University, School of Life Sciences, Institute of Biodiversity Science, Key Laboratory for Biodiversity Science and Ecological Engineering, National Observations and Research Station for Wetland Ecosystems of the Yangtze Estuary, Shanghai, China
- Jun Ma 0023 — Beijing Forestry University, Beijing Key Laboratory of Precision Forestry, Beijing, China
- Jun Ma 0024 — Hunan University, College of Electrical and Information Engineering, Changsha, China
- Jun Ma 0025 — Hohai University, Business School, Jiangsu Water Resources and Sustainable Development Research Center, Nanjing, China
- Jun Ma 0026 — Xidian University, School of Telecommunications Engineering, Xi'an, China (and 1 more)
- Jun Ma 0027 — University of Calgary, Department of Mechanical and Manufacturing Engineering, Calgary, Canada
- Jun Ma 0028 — University of Minnesota, Department of Neurosurgery, Minneapolis, MN, USA
- Jun Ma 0029 — Amazon, Seattle, WA, USA (and 1 more)
- Benedict Jun Ma (aka: Jun Ma 0030) — University of Hong Kong, Department of Industrial and Manufacturing Systems Engineering, Hong Kong (and 1 more)
- Jun Ma 0031 — Guilin University of Electronic Technology, School of Electronic Engineering and Automation, Guangxi, China
- Jun Ma 0032 — North Carolina State University, Department of Statistics, Bioinformatics Research Center, Raleigh, NC, USA
- Jun Ma 0033 — Cincinnati Children's Research Foundation, Division of Developmental Biology, Cincinnati, OH, USA
- Jun Ma 0034 — University of Science and Technology of China, School of Data Science, Hefei, China (and 1 more)
- Jun Ma 0035 — Dalian University of Technology, School of Mechanical Engineering, Dalian, China
- Jun Ma 0036 — Tongji University, School of Automotive Studies, Design and Innovation College, Shanghai, China
Other persons with a similar name
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2020 – today
- 2024
[j27]Weizhi Xiong, Guolin Yu, Jun Ma, Sheng Liu:
A novel robust adaptive subspace learning framework for dimensionality reduction. Appl. Intell. 54(19): 8939-8967 (2024)- [j26]Weizhi Xiong, Guolin Yu, Jun Ma, Sheng Liu:
Sparse robust adaptive unsupervised subspace learning for dimensionality reduction. Eng. Appl. Artif. Intell. 129: 107582 (2024) - [j25]Haoyu Wang, Guolin Yu, Jun Ma:
Fast sparse twin learning framework for large-scale pattern classification. Eng. Appl. Artif. Intell. 130: 107730 (2024) - [j24]Jun Ma, Guolin Yu:
Distribution-free Bayesian regularized learning framework for semi-supervised learning. Neural Networks 174: 106262 (2024) - [j23]Jun Ma, Guolin Yu:
Robust adaptive learning framework for semi-supervised pattern classification. Signal Process. 224: 109594 (2024) - 2023
- [j22]Bao Ma, Jun Ma, Guolin Yu:
A Novel Robust Metric Distance Optimization-Driven Manifold Learning Framework for Semi-Supervised Pattern Classification. Axioms 12(8): 737 (2023) - [j21]Yimeng Jiang, Guolin Yu, Jun Ma:
Distance Metric Optimization-Driven Neural Network Learning Framework for Pattern Classification. Axioms 12(8): 765 (2023) - [j20]Guolin Yu, Jun Ma, Chenzhen Xie:
Hessian scatter regularized twin support vector machine for semi-supervised classification. Eng. Appl. Artif. Intell. 119: 105751 (2023) - [j19]Jun Ma, Guolin Yu, Weizhi Xiong, Xiaolong Zhu:
Safe semi-supervised learning for pattern classification. Eng. Appl. Artif. Intell. 121: 106021 (2023) - [j18]Yang Yang, Zhenxia Xue, Jun Ma, Xia Chang:
Robust projection twin extreme learning machines with capped L1-norm distance metric. Neurocomputing 517: 229-242 (2023) - [j17]Jun Ma, Guolin Yu:
A generalized adaptive robust distance metric driven smooth regularization learning framework for pattern recognition. Signal Process. 211: 109102 (2023) - [j16]Haoyu Wang, Guolin Yu, Jun Ma:
Capped L2, p-Norm Metric Based on Robust Twin Support Vector Machine with Welsch Loss. Symmetry 15(5): 1076 (2023) - 2022
- [j15]Jun Ma, Guolin Yu:
Regularized twin minimax probability machine for pattern classification and regression. Eng. Appl. Artif. Intell. 107: 104550 (2022) - [j14]Yifan Wang, Guolin Yu, Jun Ma:
Capped Linex Metric Twin Support Vector Machine for Robust Classification. Sensors 22(17): 6583 (2022) - [j13]Jun Ma, Guolin Yu:
Lagrangian Regularized Twin Extreme Learning Machine for Supervised and Semi-Supervised Classification. Symmetry 14(6): 1186 (2022) - 2021
- [j12]Jun Ma, Liming Yang, Qun Sun:
Adaptive robust learning framework for twin support vector machine classification. Knowl. Based Syst. 211: 106536 (2021) - [j11]Jun Ma, Jumei Shen:
Retraction notice to "A novel twin minimax probability machine for classification and regression" [Knowl.-Based Syst. 196 (2020) 105703]. Knowl. Based Syst. 217: 106516 (2021) - [j10]Jun Ma, Liming Yang:
Robust supervised and semi-supervised twin extreme learning machines for pattern classification. Signal Process. 180: 107861 (2021) - 2020
- [j9]Yakun Wen, Jun Ma, Chao Yuan, Liming Yang:
Projection multi-birth support vector machinea for multi-classification. Appl. Intell. 50(10): 3040-3056 (2020) - [j8]Jun Ma:
Capped L1-norm distance metric-based fast robust twin extreme learning machine. Appl. Intell. 50(11): 3775-3787 (2020) - [j7]Jun Ma, Liming Yang, Qun Sun:
Capped L1-norm distance metric-based fast robust twin bounded support vector machine. Neurocomputing 412: 295-311 (2020) - [j6]Jun Ma, Yakun Wen, Liming Yang:
Fisher-regularized supervised and semi-supervised extreme learning machine. Knowl. Inf. Syst. 62(10): 3995-4027 (2020) - [j5]Jun Ma, Liming Yang, Yakun Wen, Qun Sun:
Twin minimax probability extreme learning machine for pattern recognition. Knowl. Based Syst. 187 (2020) - [j4]Jun Ma:
Supervised and semi-supervised twin parametric-margin regularized extreme learning machine. Pattern Anal. Appl. 23(4): 1603-1626 (2020)
2010 – 2019
- 2019
- [j3]Jun Ma, Chao Yuan:
Adaptive Safe Semi-Supervised Extreme Machine Learning. IEEE Access 7: 76176-76184 (2019) - [j2]Jumei Shen, Jun Ma:
Sparse Twin Extreme Learning Machine With $\varepsilon$ -Insensitive Zone Pinball Loss. IEEE Access 7: 112067-112078 (2019) - [j1]Jun Ma, Yakun Wen, Liming Yang:
Lagrangian supervised and semi-supervised extreme learning machine. Appl. Intell. 49(2): 303-318 (2019)
Coauthor Index
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