I am a Ph.D. student in Graduate School of AI at Korea Advanced Institute of Science and Technology (KAIST). I am currently advised by Prof. Edward Yoonjae Choi    

My research interests lie in the application and analysis of electrocardiogram (ECG). I have been working on end-to-end non-autoregressive models for text-to-speech (TTS) synthesis and ECG generation from clinical text reports. Currently I am working on building ECG language models to tackle many ECG related tasks in healthcare.

• Time is Not Enough: Time-Frequency based Explanation for Time-Series Black-Box Models
  Hyunseung Chung, Sumin Jo, Yeonsu Kwon, Edward Choi
  CIKM 2024

• Text-to-ECG: 12-Lead Electrocardiogram Synthesis conditioned on Clinical Text Reports
  Hyunseung Chung, Jiho Kim, Joon-myoung Kwon, Ki-Hyun Jeon, Min Sung Lee, Edward Choi
  ICASSP 2023

• Lead-agnostic Self-supervised Learning for Local and Global Representations of Electrocardiogram
  Jungwoo Oh, Hyunseung Chung, Joon-myoung Kwon, Dong-gyun Hong, Edward Choi
  CHIL 2022

• VoiceMixer: Adversarial Voice Style Mixup
  Sang-Hoon Lee, Ji-Hoon Kim, Hyunseung Chung, Seong-Whan Lee
  NeurIPS 2021

• Reinforce-Aligner: Reinforcement Alignment Search for Robust End-to-End Text-to-Speech
  Hyunseung Chung, Sang-Hoon Lee, Seong-Whan Lee
  Interspeech 2021

• Rotation Invariant Aerial Image Retrieval with Group Convolutional Metric Learning
  Hyunseung Chung, Woo-Jeoung Nam, Seong-Whan Lee
  ICPR 2020 

• Frequency Matters: Advancing Time-Series Interpretability with Time-Frequency Explanations
  Hyunseung Chung, Sumin Jo, Yeonsu Kwon, Edward Choi
  KCC Workshop 2024 (Best Paper Award) 

• KAIST (Fall 2021 - Present)
  Ph.D. in Artificial Intelligence
  Advisor: Edward Choi

• Korea University (Fall 2019 - Fall 2021)
  M.S. in Artificial Intelligence
  Advisor: Seong-Whan Lee

• University of Illinois at Urbana-Champaign (- Spring 2017)
  B.S. in Industrial & Enterprise Systems Engineering  

• Reviewer
  2023: ICASSP, EMNLP, ML4H
  2024: ICASSP, KDD, CIKM