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Ming Li 0071

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affiliation: Jiangsu Ocean University, Department of Computer Science and Technology, China
affiliation (PhD 2023): University of Shanghai for Science and Technology, Department of Optical-Electrical and Computer Engineering, , China

Other persons with the same name

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Ming Li — disambiguation page
Ming Li 0001 — University of Waterloo, ON, Canada (and 3 more)
Ming Li 0002 — East China Normal University, Shanghai, China (and 1 more)
Ming Li 0003 (aka: Ming (Fred) Li) — University of Arizona, Tucson, AZ, USA (and 2 more)
Ming Li 0004 — Xidian University, National Key Lab of Radar Signal Processing, Xi'an, China
Ming Li 0005 — Nanjing University, National Key Laboratory for Novel Software Technology, China
Ming Li 0006 — University of Texas at Arlington, TX, USA (and 2 more)
Ming Li 0007 — California State University, Fresno, CA, USA (and 1 more)
Ming Li 0008 — Worcester Polytechnic Institute, MA, USA
Ming Li 0009 — IBM T. J. Watson Research Center, Yorktown Heights, NY, USA (and 1 more)

Ming Li 0010 — Deakin University, VIC, Australia
Ming Li 0011 — Dalian University of Technology, School of Information and Communication Engineering, China (and 2 more)
Ming Li 0012 — Taiyuan University of Technology, College of Mathematics, China (and 1 more)
Ming Li 0013 — China University of Mining & Technology, Xuzhou, China
Ming Li 0014 — Unilever Corporate Research, Sharnbrook, Bedford, UK
Ming Li 0015 — Lanzhou University of Technology, China
Ming Li 0016 — RWTH Aachen University, Germany
Ming Li 0017 — Zhejiang University, State Key Laboratory of CAD&CG, China
Ming Li 0018 — Max-Planck-Institut für Informatik, Saarbrücken, Germany
Ming Li 0019 — Carleton University, Ottawa, ON, Canada
Ming Li 0020 — Google (and 1 more)
Ming Li 0021 — Oracle (and 1 more)
Ming Li 0022 — Vanderbilt University, Department of Biostatistics, Nashville, TN, USA
Ming Li 0023 — Simon Fraser University, Burnaby, BC, Canada
Ming Li 0024 — Concordia University, Department of Economics, Montreal, QC, Canada
Ming Li 0025 — Chinese Academy of Sciences, Institute of Semiconductors, China (and 1 more)
Ming Li 0026 — Duke Kunshan University, Data Science Research Center, China (and 3 more)
Ming Li 0028 — National University of Defense Technology, College of Mechatronic Engineering and Automation, Changsha, China
Ming Li 0029 — Beihang University, School of Automation Science and Electrical Engineering, Beijing, China (and 2 more)
Ming Li 0030 — Auburn University MRI Research Center, Auburn, USA
Ming Li 0031 — China University of Mining and Technology, School of Computer Science and Technology, Xuzhou, China
Ming Li 0032 — Heidelberg University, Institute of Geography, Germany
Ming Li 0033 — Chinese Academy of Sciences, Institute of Information Engineering, State Key Laboratory of Information Security, Beijing, China
Ming Li 0034 — Beihang University, Institute of Solid Mechanics, Beijing, China
Ming Li 0035 — Aalto University, Department of Computer Science, Espoo, Finland
Ming Li 0036 — Honghe University, Department of Mathematics, Mengzi, Yunnan, China
Ming Li 0037 — Wuhan University, State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing, China
Ming Li 0038 — Second Military Medical University, Changhai Hospital, Department of Orthopaedics, Shanghai, China
Ming Li 0039 — China Jiliang University, Department of Mathematics, Hangzhou, China
Ming Li 0040 — Nanchang University, ISST, China (and 1 more)
Ming Li 0041 — Tianjin Normal University, Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission, China (and 1 more)
Ming Li 0042 — Hamburg University of Technology, Germany
Ming Li 0043 — Unilever China (and 1 more)
Ming Li 0044 — Colorado School of Mines, Department of Electrical Engineering and Computer Science, Golden, CO, USA
Ming Li 0045 — Shanghai Jiao Tong University, Institute of Image Processing and Pattern Recognition, China
Ming Li 0046 — Yanshan University, College of Electrical Engineering, Qinhuangdao, China
Ming Li 0047 — Beijing Jiaotong University, School of Electronic and Information Engineering, China
Ming Li 0048 — Sun Yat-sen University, School of Geography and Planning, Guangzhou, China
Ming Li 0049 — Jinan University, College of Information Science and Technology, China
Ming Li 0051 — China University of Petroleum, School of Economics and Management, Beijing, China
Ming Li 0052 — National Institutes of Health, Center for Interventional Oncology / National Heart, Lung, and Blood Institute, Bethesda, MD, USA (and 1 more)
Ming Li 0053 — Macquarie University, Sydney, NSW, Australia (and 3 more)
Ming Li 0054 — Beihang University, School of Transportation Science and Engineering / Beijing Advanced Innovation Center for Big Data and Brain Computing, Beijing, China
Ming Li 0055 — Hong Kong Polytechnic University, Department of Industrial and Systems Engineering, Hong Kong (and 2 more)
Ming Li 0056 — Nanchang Hangkong University, MOE Key Laboratory of Nondestructive Testing, China (and 1 more)
Ming Li 0057 — Ocean University of China, College of Engineering, Department of Automation, Qingdao, China (and 1 more)
Ming Li 0058 — Shenyang University of Technology, School of Electrical Engineering, China
Ming Li 0059 — National University of Defense Technology, College of Meteorology and Oceanography, Nanjing, China
Ming Li 0060 — Harbin Engineering University, College of Computer Science and Technology, China
Ming Li 0061 — Rizhao People's Hospital, Department of Nuclear Medicine, China
Ming Li 0062 — CRRC Tangshan Company, Ltd., Tangshan, China
Ming Li 0063 — Harbin Institute of Technology, Communication Research Center, China
Ming Li 0064 — Beijing Institute of Technology, State Key Laboratory of Explosion Science and Technology, China
Ming Li 0065 — Zhejiang Normal University, Department of Computer Science, Jinhua, China (and 2 more)
Ming Li 0066 — National University of Defense Technology, College of Electronic Science and Technology, State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, Changsha, China
Ming Li 0067 — Lappeenranta University of Technology, LUT, Laboratory of Intelligent Machines, Department of Mechanical Engineering, Finland
Ming Li 0068 — University of Amsterdam, IRLab, Netherlands (and 1 more)
Ming Li 0069 — Nanjing University, School of Electronic Science and Engineering, China
Ming Li 0070 — China University of Petroleum, School of Science, Qingdao, China (and 1 more)

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2020 – today

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2024
[j11]
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Jiaying Dong, Yan Song, Ming Li, Hong Rao:
Biased collective latent factorization of tensors with transfer learning for dynamic QoS data predicting. Digit. Signal Process. 146: 104360 (2024)
[j10]
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Jun Dou, Guoliang Wei, Yan Song, Dihao Zhou, Ming Li:
Switching Triple-Weight-SMOTE in Empirical Feature Space for Imbalanced and Incomplete Data. IEEE Trans Autom. Sci. Eng. 21(2): 1850-1866 (2024)
2023
[j9]
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Yuyu Hu, Yali Fan, Yan Song, Ming Li:
A general robust low-rank multinomial logistic regression for corrupted matrix data classification. Appl. Intell. 53(15): 18564-18580 (2023)
[j8]
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Xin Tian, Cun Sun, Ying Sun, Yan Song, Guoliang Wei, Hui Yu, Ming Li:
A Biologically-Inspired Sparse Self-Representation Approach for Projected Fuzzy Double C-Means Clustering. Cogn. Comput. 15(6): 2202-2215 (2023)
[j7]
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Jun Dou, Zihan Gao, Guoliang Wei, Yan Song, Ming Li:
Switching synthesizing-incorporated and cluster-based synthetic oversampling for imbalanced binary classification. Eng. Appl. Artif. Intell. 123(Part A): 106193 (2023)
[j6]
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Ming Li, Yan Song:
An Improved Non-Negative Latent Factor Model for Missing Data Estimation via Extragradient-Based Alternating Direction Method. IEEE Trans. Neural Networks Learn. Syst. 34(9): 5640-5653 (2023)
2022
[j5]
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  - journals/apin/FanXSL22
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Haiyan Fan, Luyu Xue, Yan Song, Ming Li:
A repetitive feature selection method based on improved ReliefF for missing data. Appl. Intell. 52(14): 16265-16280 (2022)
[j4]
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Ming Li, Liqun Sheng, Yan Song, Jing Song:
An enhanced matrix completion method based on non-negative latent factors for recommendation system. Expert Syst. Appl. 201: 116985 (2022)
[j3]
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Yan Song, Ming Li, Zhengyu Zhu, Guisong Yang, Xin Luo:
Nonnegative Latent Factor Analysis-Incorporated and Feature-Weighted Fuzzy Double $c$-Means Clustering for Incomplete Data. IEEE Trans. Fuzzy Syst. 30(10): 4165-4176 (2022)
[j2]
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Ming Li, Yan Song:
Triple Factorization-Like Symmetric NLF Models With Latent Item-Item Relationship. IEEE Trans. Syst. Man Cybern. Syst. 52(10): 6073-6084 (2022)
[c4]
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  - conf/icit2/LiWSW22
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Ming Li, Jing Wu, Yan Song, Bohui Wang:
Latent Factor Learning Under Multiple Rating Patterns for Undirected, Large-Scaled and Sparse Networks. ICIT 2022: 1-6
2021
[c3]
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  - conf/icnsc/SunSLL21
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Cun Sun, Yan Song, Ming Li, Min Li:
Fuzzy C-Means Clustering With Neighbor Information Constraint Using Sparse Self-Representation. ICNSC 2021: 1-6
[c2]
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Ming Li, Yan Song:
Nonnegative Latent Factor-Incorporated Fuzzy Double c-Means Clustering for Incomplete Data. SMDS 2021: 210-215
2020
[j1]
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  - journals/tii/SongLLYW20
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Yan Song, Ming Li, Xin Luo, Guisong Yang, Chongjing Wang:
Improved Symmetric and Nonnegative Matrix Factorization Models for Undirected, Sparse and Large-Scaled Networks: A Triple Factorization-Based Approach. IEEE Trans. Ind. Informatics 16(5): 3006-3017 (2020)

2010 – 2019

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2019
[c1]
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  - conf/smc/LiSY19
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Ming Li, Yan Song, Guisong Yang:
Triple Factorization-Like Symmetric and Nonnegative Latent Factor Models for Undirected, Sparse and Large-Scaled Networks. SMC 2019: 1726-1731

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