About Me

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!

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Education

• 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)

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Publications

(* denotes equal contribution)

• Fingers crossed to our Neurips 2023 paper!
  

• Mitigating the Exposure Bias in Sentence-Level Grapheme-to-Phoneme (G2P) Transduction
  Eunseop Yoon*, Hee Suk Yoon*, Dhananjaya Gowda, SooHwan Eom, Daehyeok Kim, John Harvill, Heting Gao, Mark Hasegawa-Johnson, Chanwoo Kim, Chang D. Yoo
  INTERSPEECH 2023
  




• One-Shot Exemplification Modeling via Latent Sense Representations
  John Harvill, Hee Suk Yoon, Eunseop Yoon, Mark Hasegawa-Johnson and Chang D. Yoo
  ACL 2023 Workshop on Representation Learning for NLP (RepL4NLP 2023)
  




• INTapt: Information-Theoretic Adversarial Prompt Tuning for Enhanced Non-Native Speech Recognition
  Eunseop Yoon*, Hee Suk Yoon*, John Harvill, Mark Hasegawa-Johnson, Chang D. Yoo
  ACL 2023 (findings)
  [arxiv]




• 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]

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Academic Activities

Reviwer Experience

• Transactions on Machine Learning Research (TMLR): 2023

• Association for Computational Linguistics (ACL): 2023

• International Conference on Acoustics, Speech & Signal Processing (ICASSP): 2023

• Empirical Methods on Natural Language Processing (EMNLP): 2022, 2023

Teaching Assistance

• Introduction to Machine Learning 2023 Fall

• Introduction to Reinforcement Learning: 2023 Spring

• Signals and Systems: 2022 Spring, 2022 Fall

• Seongnam-KAIST Next Generation ICT Research Center EE Co-op+ Joint Research Program 2023 Fall

• Seongnam-KAIST Next Generation ICT Research Center Machine Learning and Big Data Course: 2021, 2022

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Projects

• 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)

• Enhancing CD SEM Image Quality and Inter-Facility Image Transfer Technology using Deep Learning
  2021-06-01 ~ 2023-06-01
  Samsung (Role: Operator)

• Prediction of Relative Object Sizes in Images using Deep Learning
  2021-06-01 ~ 2021-12-31
  U-AIM (Role: Operator)