Introduction

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I’m a Ph.D. student at Machine Learning and Artificial Intelligence (MLAI) Lab in Korea Advanced Institute of Science and Technology (KAIST), under the supervision of Prof. Sung Ju Hwang. I finished the B.S. degree at UNIST in 2016 and the M.S. degree at UNIST in 2018 under the supervision of Prof. Sung Ju Hwang.
 

 


My research interests focus on:

  • Lifelong-able (Online) Continual Learning

  • On-device Federated Learning

  • Neural Architecture Search

  • Un/Semi-supervised Learning

  • Scalable/Efficient Deep Neural Network Models and Algorithms

  • Biologically Plausible Neural Networks

 

Publications/Preprints

Wonyong Jeong, Jaehong Yoon, Eunho Yang, and Sung Ju Hwang
ICML 2020 Workshop in Federated Learning (Long Presentation), (Best Student Paper Award)

Jaehong Yoon, Saehoon Kim, Eunho Yang, and Sung Ju Hwang
ICLR 2020

Jaehong Yoon, Eunho Yang, Jeongtae Lee, and Sung Ju Hwang
ICLR 2018

 

Juho Lee, Saehoon Kim, Jaehong Yoon, Hae Beom Lee, Eunho Yang, and Sung Ju Hwang
arXiv:1805.10896, May 2018

Jaehong Yoon*, Wonyong Jeong*, Giwoong Lee, Eunho Yang, and Sung Ju Hwang
ICML 2020 Workshop in Lifelong Machine Learning (*: equal contribution)

Minyoung Song, Jaehong Yoon, Eunho Yang, and Sung Ju Hwang
arXiv:2006.12130, June 2020

Wonyong Jeong, Jaehong Yoon, Eunho Yang, and Sung Ju Hwang
ICLR 2021 

Online Coreset Selection for Rehearsal-based Continual Learning

Jaehong Yoon, Divyam Madaan, Eunho Yang, and Sung Ju Hwang
Under Review, 2021 

Jaehong Yoon*, Wonyong Jeong*, Giwoong Lee, Eunho Yang, and Sung Ju Hwang
ICML 2021 (*: equal contribution)

Invited Talks

"Lifelong Learning with Dynamically Expandable Networks"

  • Samsung SDS, Korea, Sep. 2019

  • Tech. talk, NAVER corp., Korea, July. 2018

  • Tech. Open Congress(T-T.O.C.), SK-Telecom, Korea, Mar. 2018

"Combined Group and Exclusive Sparsity for Deep Neural Networks"

  • Korea Software Congress(KSC), Korea, Dec. 2017