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ORCIDYe Wang 0014
Person information
- affiliation: University of Texas at Austin, Department of Electrical and Computer Engineering, Austin, TX, USA
Other persons with the same name
- Ye Wang — disambiguation page
- Ye Wang 0001
![[0000-0001-5220-1830]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-5220-1830")
— Mitsubishi Electric Research Laboratories, Cambridge, MA, USA (and 1 more) - Ye Wang 0002 — Harbin Institute of Technology, Communications Engineering Research Center, Shenzhen, China (and 2 more)
- Ye Wang 0003 — Huazhong University of Science and Technology, School of Electronic Information and Communications, Wuhan, China
- Ye Wang 0004 — State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou, China
- Ye Wang 0005 — University of Melbourne, Australia (and 2 more)
- Ye Wang 0006 — Chongqing University of Posts and Telecommunications, College of Computer Science and Technology, Chongqing, China (and 1 more)
- Ye Wang 0007 — National University of Singapore, School of Computing, Singapore (and 1 more)
- Ye Wang 0008 — Beijing University of Posts and Telecommunications, Key Lab of Universal Wireless Communications, Beijing, China
- Ye Wang 0009 — Chinese Academy of Sciences, Changchun Institute of Optics, Fine Mechanics and Physics, Changchun, China
- Ye Wang 0010 — Ministry of Science and Technology, Development and Service Center for Science and Technology Talents, Beijing, China (and 1 more)
- Ye Wang 0011 — Communication University of China, Neuroscience and Intelligent Media Institute, Beijing, China
- Ye Wang 0012 — Zhejiang Gongshang University, School of Computer Science and Information Engineering, Hangzhou, China (and 1 more)
- Ye Wang 0013 — University of Southern California, Department of Electrical Engineering, Los Angeles, CA, USA
- Ye Wang 0015 — National University of Defense Technology, College of Computer, Changsha, China (and 1 more)
- Ye Wang 0016 — Harbin Engineering University, College of Mathematical Sciences, China
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2020 – today
- 2023
[j1]Xiaodan Xi, Ge Li, Ye Wang, Michael Orshansky:
A Provably Secure Strong PUF Based on LWE: Construction and Implementation. IEEE Trans. Computers 72(2): 346-359 (2023)- [i2]Xiaodan Xi, Ge Li, Ye Wang, Yeonsoo Jeon, Michael Orshansky:
A Provably Secure Strong PUF based on LWE: Construction and Implementation. CoRR abs/2303.02802 (2023) - 2020
- [c8]Ye Wang, Xiaodan Xi, Michael Orshansky:
Lattice PUF: A Strong Physical Unclonable Function Provably Secure against Machine Learning Attacks. HOST 2020: 273-283
2010 – 2019
- 2019
- [i1]Ye Wang, Xiaodan Xi, Michael Orshansky:
Lattice PUF: A Strong Physical Unclonable Function Provably Secure against Machine Learning Attacks. CoRR abs/1909.13441 (2019) - 2018
- [c7]Ye Wang, Michael Orshansky:
Efficient helper data reduction in SRAM PUFs via lossy compression. DATE 2018: 1453-1458 - 2017
- [c6]Aydin Aysu, Ye Wang, Patrick Schaumont, Michael Orshansky:
A new maskless debiasing method for lightweight physical unclonable functions. HOST 2017: 134-139 - 2016
- [c5]Meng Li, Ye Wang, Michael Orshansky:
A Monte Carlo simulation flow for SEU analysis of sequential circuits. DAC 2016: 44:1-44:6 - [c4]Ye Wang, Constantine Caramanis, Michael Orshansky:
PolyGP: Improving GP-based analog optimization through accurate high-order monomials and semidefinite relaxation. DATE 2016: 1423-1428 - [c3]Ye Wang, Constantine Caramanis, Michael Orshansky:
Exploiting randomness in sketching for efficient hardware implementation of machine learning applications. ICCAD 2016: 114 - 2015
- [c2]Ye Wang, Meng Li, Xinyang Yi, Zhao Song, Michael Orshansky, Constantine Caramanis:
Novel power grid reduction method based on L1 regularization. DAC 2015: 93:1-93:6 - 2014
- [c1]Ye Wang, Michael Orshansky, Constantine Caramanis:
Enabling Efficient Analog Synthesis by Coupling Sparse Regression and Polynomial Optimization. DAC 2014: 164:1-164:6
Coauthor Index
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