Ph.D. Candidate @ KAIST EE
Georgia Institute of Technology ECE
(Georgia Tech)
I graduated from the Georgia Institute of Technology with a B.S. in Computer Engineering in 2021. After completing my undergraduate studies, I decided to continue my education and pursue a Ph.D. in the field of Artificial Intelligence/Deep Learning at the Korea Advanced Institute of Science and Technology (KAIST). I am currently working under the guidance of Professor Chang D. Yoo, whose expertise and leadership have been invaluable to my research.
My research focuses on the reliability of Artificial Intelligence/Deep Learning technologies for various modalities, including images, videos, and natural language. I am passionate about exploring the potential of these technologies and finding ways to improve their performance and reliability in real-world applications.
In my free time, I enjoy staying up-to-date with the latest developments in the field of AI/DL, as well as reading and learning about other areas of computer science and engineering. I am excited to continue my studies at KAIST and to see where my research takes me in the future!
Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
Ph.D. candidate (integrated) in Electrical Engineering (Artificial Intelligence/Deep Learning)
Aug. 2021 - Present
Advisor: Chang D. Yoo
Georgia Institute of Technology, Atlanta, GA, United States
B.S. in Computer Engineering
graduated May 2021
Cumulative GPA: 3.92/4.0 (highest honors)
(* denotes equal contribution)
Counterfactual Two-stage Debiasing for Video Corpus Moment Retrieval
Sunjae Yoon, Ji Woo Hong, SooHwan Eom, Hee Suk Yoon, Eunseop Yoon, Daehyeok Kim, Junyeong Kim, Chanwoo Kim, Chang D. Yoo
ICASSP 2023
ESD: Expected Squared Difference as a Tuning-Free Trainable Calibration Measure
Hee Suk Yoon*, Joshua Tian Jin Tee*, Eunseop Yoon, Sunjae Yoon, Gwangsu Kim, Yingzhen Li, Chang D. Yoo
ICLR 2023
[openreview] [arxiv]
SMSMix: Sense Maintained Sentence Mixup for Word Sense Disambiguation
Hee Suk Yoon*, Eunseop Yoon*, John Harvill, Sunjae Yoon, Mark Hasegawa-Johnson, Chang D Yoo
EMNLP 2022 (findings)
[arxiv] [pdf]
Information-Theoretic Text Hallucination Reduction for Video-grounded Dialogue
Sunjae Yoon, Eunseop Yoon, Hee Suk Yoon, Junyeong Kim, Chang D Yoo
EMNLP 2022
[arxiv] [pdf]
Selective Query-Guided Debiasing for Video Corpus Moment Retrieval
Sunjae Yoon, Ji Woo Hong, Eunseop Yoon, Dahyun Kim, Junyeong Kim, Hee Suk Yoon, Chang D Yoo
ECCV 2022
[arxiv] [pdf]
EMNLP 2022, Language Modeling and Analysis of Language Models Track
ICASSP 2023, Machine Learning for Signal Processing Track
ACL 2023
Prediction of Relative Object Sizes in Images using Deep Learning
2021-06-01 ~ 2021-12-31
U-AIM (Role: Operator)
Enhancing CD SEM Image Quality and Inter-Facility Image Transfer Technology using Deep Learning
2021-06-01 ~ 2023-06-01
Samsung (Role: Operator)
Development of Uncertainty-Aware Agents Learning by Asking Questions
2022-03-01 ~ 2027-03-01
Institute of Information & communications Technology Planning & Evaluation (IITP) grant funded by the Korea government (Role: Operator)
Visual Dialogue System: Developing Visual and Language Capabilities for AI-Based Dialogue Systems
2023-01-01~
Korea Telecom (KT) AI (Role: Operator)