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Sihyun Yu

I am a first-year Ph.D. student at Algorithmic Intelligence Laboratory @ KAIST, advised by professor Jinwoo Shin.

Prior to this, I received B.S. in Computer Science and Mathematics (double major) at KAIST, and I did my research about physics-inspired distribution sampling methods under the supervision of professor Hongseok Yang.

Email  |  CV  |  Google Scholar  |  Twitter  |  Github

Research

My research focuses on designing deep generative models of videos and 3D scenes. Specifically, I am focusing on discovering priors that would enable the effective synthesis of these data. I also have an interest in adversarial robustness.

2022
Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks
Sihyun Yu*, Jihoon Tack*, Sangwoo Mo*, Hyunsu Kim, Junho Kim, Jung-Woo Ha, Jinwoo Shin
ICLR 2022
also at CVPR 2022 Workshop on AI for Content Creation (AI4CC)
paper  |  project page  |  slides  |  code
Consistency Regularization for Adversarial Robustness
Jihoon Tack, Sihyun Yu, Jongheon Jeong, Minseon Kim, Sung Ju Hwang, Jinwoo Shin
AAAI 2022  
also at ICML 2021 Workshop on Adversarial Machine Learning (AdvML)   (oral)
paper  |  slides  |  code

2021
RoMA: Robust Model Adaptation for Offline Model-based Optimization
Sihyun Yu, Sungsoo Ahn, Le Song, Jinwoo Shin
NeurIPS 2021
paper  |  slides  |  code
Abstract Reasoning via Logic-guided Generation
Sihyun Yu, Sangwoo Mo, Sungsoo Ahn, Jinwoo Shin
ICML 2021 Workshop on Self-Supervised Learning for Reasoning and Perception   (oral)
paper  |  slides  |  poster
Invited Talks

RoMA: Robust Model Adaptation for Offline Model-based Optimization
Jun 2022; Samsung Electronics (Suwon, South Korea)

Scaling Video Generation via Implicit Neural Representations
Jun 2022; Pohang University of Science and Technology (Pohang, South Korea)

Abstract Reasoning via Logic-guided Generation
Jun 2021; ICML Workshop on Self-Supervised Learning for Reasoning and Perception 2021 (remote)

Work Experience

NAVER AI Lab
with Dr. Jung-Woo Ha (Jun 2021 - Sep 2021; Jeongja, South Korea (remote))

Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)
with Prof. Le Song and Prof. Sungsoo Ahn (Mar 2021 - May 2021; Abu Dhabi, UAE (remote))

Korea Advanced Institute of Science and Technology (KAIST)
with Prof. Hongseok Yang (April 2018 - June 2019; Daejeon, South Korea)

Academic Services

Conference reviewer: ICML 2022, NeurIPS 2022
Workshop reviewer: CVPRW (AI4CC) 2022
Selective Honors

Best Paper Awards, Korean Artificial Intelligence Association, 2021
Qualcomm-KAIST Innovation Awards, 2019
KAIST Presidental Fellowship, 2018-2020
National Presidental Scholarship for Science, 2017-2020
Hansung Scholarship for Gifted Students, 2015-2016
Teaching

TA, Deep Learning (AI502), Fall 2020
TA, Samsung Electronics Device Solutions, AI-Expert Program, Summer 2020
Peer Tutor, System Programming (CS230), Spring 2019
TA, Linear Algebra (MAS212), Spring 2019
TA, Calculus 1 (MAS101), Spring 2018

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