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ORCIDMing Zhong 0011
Person information
- affiliation: Fudan University, School of Computer Science, Shanghai, China
Other persons with the same name
- Ming Zhong — disambiguation page
- Ming Zhong 0001 — Tsinghua National Laboratory for Information Science and Technology, Beijing, China (and 1 more)
- Ming Zhong 0002
![[0000-0001-9376-818X]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-9376-818X")
— Wuhan University, School of Computer Science, Wuhan, China - Zhong Ming 0001 (aka: Ming Zhong 0003) — Shenzhen University, College of Computer Science and Software Engineering, Big Data Institute, Shenzhen, China (and 1 more)
- Ming Zhong 0004 — Wuhan University of Technology, Intelligent Transportation Systems Research Center, Wuhan, China
- Ming Zhong 0005 — University of Illinois Urbana-Champaign, Department of Computer Science, Urbana, IL, USA (and 1 more)
- Ming Zhong 0006 — Google, Inc., Mountain View, CA, USA (and 1 more)
- Ming Zhong 0007 — Google, Mountain View, CA, USA (and 1 more)
- Ming Zhong 0008 — Texas A&M University, Institute of Data Science, College Station, TX, USA (and 2 more)
- Ming Zhong 0009 — Zhejiang Normal University, College of Mathematics and Computer Science, Jinhua, China (and 1 more)
- Ming Zhong 0010 — Harbin Institute of Technology, Industrial Research Institute of Robotics and Intelligent Equipment, Weihai, China (and 1 more)
- Ming Zhong 0012 — Beijing Institute of Petrochemical Technology, School of Information Engineering, Beijing, China
- Ming Zhong 0013 — York University, Toronto, Canada
- Ming Zhong 0014 — Microsoft, AI for Good Research Lab, USA
- Ming Zhong 0015 — Microsoft STCA, Beijing, China (and 1 more)
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2020 – today
- 2023
[j1]Xiaohan Zhang, Mi Zhang, Yuan Zhang, Ming Zhong, Xin Zhang, Yinzhi Cao, Min Yang:
Slowing Down the Aging of Learning-Based Malware Detectors With API Knowledge. IEEE Trans. Dependable Secur. Comput. 20(2): 902-916 (2023)- 2020
- [c1]Xiaohan Zhang, Yuan Zhang, Ming Zhong, Daizong Ding, Yinzhi Cao, Yukun Zhang, Mi Zhang, Min Yang:
Enhancing State-of-the-art Classifiers with API Semantics to Detect Evolved Android Malware. CCS 2020: 757-770
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