Biography

Jy-yong Sohn is an assistant professor in Department of Applied Statistics at Yonsei University. Before joining Yonsei University on March 2023, he spent two wonderful years in University of Wisconsin-Madison, working with Prof. Dimitris Papailiopoulos and Prof. Kangwook Lee. He received his Ph.D. degree in 2020 from KAIST, advised by Prof. Jaekyun Moon. 

Education

• Ph.D. in Electrical Engineering, KAIST, 2020 (Advisor: Jaekyun Moon)

• M.S. in Electrical Engineering, KAIST, 2016 (Advisor: Jaekyun Moon)

• B.S. in Electrical Engineering, KAIST, 2014 

Work Experience

• Visiting Researcher, Krafton AI, 2023

• Postdoc, Electrical and Computer Engineering, University of Wisconsin-Madison, 2021 – 2022 (Hosts: Dimitris Papailiopoulos, Kangwook Lee)

• Postdoc, Information and Electronics Research Institute, KAIST, 2020 – 2021 (Host: Jaekyun Moon)

• Visiting Researcher, Electrical and Computer Engineering, University of Wisconsin-Madison, 2019 – 2020 (Hosts: Dimitris Papailiopoulos, Kangwook Lee)

• Research Intern, LG Electronics R&D Center, 2011

Honors & Awards

• Best Paper Award, KSEA UKC 2022

• Rising Star Award, KSEA SEED 2022

• Post-doc Fellowship, NRF, 2020 – 2022 : awarded for 150 outstanding Post-doc candidates in South Korea

• QUALCOMM-KAIST Innovation Award, 2019, 2015 

• KAIST Kim Younghan (金英韓) Global Leader Fellowship 2019 : awarded for 10 outstanding Ph.D. students in KAIST

• KAIST EE Best Research Achievement Award (Kim Choong-Ki Award), 2018 : awarded for 6 outstanding Ph.D. students in KAIST EE

• Excellence in Research Award (by School of Electrical Engineering, KAIST), 2017

• Awarded Satellite Technology Research Center Fellowship, 2017 Fall – 2018 Spring

• Best Paper Award of IEEE International Conference on Communications, 2017

• QUALCOMM IT Tour 13th; Field trip to Headquaters (R&D center, San diego), 2015 [조선일보 기고문]

Invited talks

• (2022) GenLabel: Mixup Relabeling using Generative Models (MLOPT Idea Seminar, IFDS Lightening Talk, MADLab Workshop)

• (2022) Towards Large-scale Machine Learning (KAIST EE Computing Seminar, SNU ML-lab, POSTECH AIGS, UNIST AIGS, and DGIST EECS)

• (2022) Rare Gems: Finding Lottery Tickets at Initialization (IFDS Ideas Forum)

• (2020) Attacks and Defenses on Machine Learning (POSTECH EE)

Academic Services

• Organizer: MLOPT Idea Seminar Series (2021 Fall – 2022 Fall)

• TPC Member: ACM MobiSys Workshop on Embedded and Mobile Deep Learning (2021, 2022)

• Journal Reviewer: 

  • {IEEE Transactions on x ∈ X } for X = {Information Theory, Mobile Computing, Communications, Networking, Vehicular Technology, Wireless Communications} 

  • IEEE Journal on Selected Areas in Information Theory, IEEE Journal on Selected Areas of Communications, IEEE Access, IEEE Wireless Communications Letters, IEEE Transactions on Mobile Computing, ETRI Journal

• Conference Reviewer: NeurIPS, ICML, ICLR, AISTATS, ISIT

Personal Experience

• GRIT, KAIST, Feb. 2017 – Feb. 2021

  • I organized a new group (of 10 KAIST students) called the Graduate Research Inspiring Team (GRIT)

  • Shared personal perspectives on our research topics, life, and inner maturity

  • Bi-weekly Meeting (Review of past two weeks & Planning upcoming two weeks), Invited Talks on Research & Life, Year End Party

• Arpeggio, a Team Blog of 7 members, Mar.2016 – June.2016

  • Uploaded personal thoughts about education on every Thursday.

• Study on the Analects of Confucius (논어), Mar.2015 – June.2015

• KAIST EE Newsletter, Mar. 2010 – Feb.2012.

• KAIST Chorus (Choir, A Cappella Concert), Mar. 2009 – Feb.2014.