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ORCIDJaehyun Park 0009
Person information
- affiliation (PhD 2017): Stanford University, USA
Other persons with the same name
- Jaehyun Park (aka: Jae Hyun Park) — disambiguation page
- Jaehyun Park 0001
![[0000-0001-5327-9111]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-5327-9111")
— Pukyong National University, Department of Electronic Engineering, Busan, South Korea (and 3 more) - Jaehyun Park 0002 — Korea Advanced Institute of Science and Technology, School of Computing, Graduate School of Information Security, Daejeon, South Korea
- Jaehyun Park 0003 — Inha University, Department of Information and Communication Engineering, Incheon, South Korea
- Jaehyun Park 0004 — Incheon National University, South Korea
- Jaehyun Park 0005 — University of Ulsan, Department of Electrical, Electronic and Computer Engineering, Korea (and 3 more)
- Jaehyun Park 0006 — Seoul National University, Department of Intelligence and Information, Korea
- Jaehyun Park 0007 (aka: Jae Hyun Park 0007) — Hong Kong Polytechnic University, School of Design, Hong Kong (and 3 more)
- Jaehyun Park 0008 — Pusan National University, Department of Electrical Engineering, Busan, Korea
- Jae Hyun Park 0010 (aka: Jaehyun Park 0010) — University of California, San Diego, USA
- Jaehyun Park 0011 — Hanyang University, Department of Automotive Engineering, Seoul, Korea
- Jaehyun Park 0012 (aka: Jae Hyun Park 0012) — Sungkyunkwan University, Department of Artificial Intelligence, AI, Korea
- Jaehyun Park 0013 — Yeungnam University, Department of Computer Engineering, Gyeongsan, Korea
- Jaehyun Park 0014 — Yonsei University, School of Electrical and Electronics Engineering, Seoul, Korea (and 1 more)
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2010 – 2019
- 2018
[j1]Jaehyun Park, Stephen P. Boyd:
A semidefinite programming method for integer convex quadratic minimization. Optim. Lett. 12(3): 499-518 (2018)- 2017
- [b1]Jaehyun Park:
Approximation techniques for mixed-integer quadratic programs. Stanford University, USA, 2017 - 2015
- [i1]Jaehyun Park, Stephen P. Boyd:
A Semidefinite Programming Method for Integer Convex Quadratic Minimization. CoRR abs/1504.07672 (2015)
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