Hyegyeong Park

About me

I am currently working as a postdoctoral fellow in the Computer Science Department at Carnegie Mellon University under the mentorship of Prof. Rashmi K. Vinayak. Before joining CMU, I was a postdoctoral researcher in the School of Electrical Engineering at KAIST under the supervision of Prof. Jaekyun Moon.

I received the B.S., M.S. (Thesis: Joint LDPC decoding and ISI channel detection) and Ph.D. (Thesis: Coding for distributed storage and computing) degrees in electrical engineering from KAIST in 2012, 2014, and 2018, respectively.

I have been studying the field of coding and information theory for distributed systems at a large scale. Specifically, I am interested in the design of low-latency large-scale distributed computing and cloud storage network systems by finding a sweet spot between the performance metrics such as reliability, fault tolerance, privacy, scalability, repair and storage efficiencies, etc.

Based on the results of the previous research on distributed storage and computing systems, my current focus is on developing efficient algorithms for large-scale distributed machine learning that trains an algorithm across multiple decentralized edge devices holding local data samples. I have focused on the theoretical side based on the practical needs so far, however, I would like to play a part in solving real-world problems and more challenging issues facing the industry.

Email: natalie.vvvv [at] gmail.com (4 v's!)

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Preprints

DaeJin Kim, Hyegyeong Park, and Junkyun Choi, "Worker assignment for multiple masters to speed up coded distributed computing in heterogeneous clusters," submitted to IEEE Transactions on Information Theory.

Publications

DaeJin Kim, Hyegyeong Park, and Junkyun Choi, "Optimal load allocation for coded distributed computation in heterogeneous clusters," IEEE Transactions on Communications (to appear).
Hyegyeong Park and Jaekyun Moon, "Improving SSD read latency via coding," IEEE Transactions on Computers (to appear).
Hyegyeong Park and Jaekyun Moon, "Irregular product coded computation for high-dimensional matrix multiplication," IEEE International Symposium on Information Theory (ISIT), Paris, France, July 2019.
DaeJin Kim*, Hyegyeong Park*, and Junkyun Choi, "Coding for Edge Computing: Mitigating stragglers in machine learning using optimal worker assignment and load allocation," ICML Workshop on Coding Theory for Large-Scale Machine Learning (CodML), Long Beach, USA, June 2019. (*Equal contribution)
Hyegyeong Park, Kangwook Lee, Jy-yong Sohn, Changho Suh, and Jaekyun Moon, "Hierarchical coding for distributed computing," IEEE International Symposium on Information Theory (ISIT), Vail, USA, June 2018.
Hyegyeong Park, Dongwon Lee, and Jaekyun Moon, "LDPC code design for distributed storage: Balancing repair bandwidth, reliability and storage overhead," in IEEE Transactions on Communications, vol. 66, no. 2, pp. 507-520, Feb. 2018.
Hyegyeong Park and Jaekyun Moon, "Improving read access time in high-performance solid-state drives," IEEE International Conference on Communications (ICC), Paris, France, May 2017.
Dongwon Lee, Hyegyeong Park, and Jaekyun Moon, "Reducing repair-bandwidth using codes based on factor graphs," IEEE International Conference on Communications (ICC), Kuala Lumpur, Malaysia, May 2016.
Jieun Oh, Jeongseok Ha, Hyegyeong Park, and Jaekyun Moon, "RS-LDPC concatenated coding for modern tape storage channel," in IEEE Transactions on Communications, vol. 64, no. 1, pp. 59-69, Jan. 2016.

Honors and Awards

KAIST EE Postdoc Fellowship 2019-2020
BK21 Plus Postdoc Fellowship 2018-2019
Korean Government Scholarship 2012-2018
National Excellence Scholarship 2007-2012

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