Seong-Hyeon Hwang

Summary

I am a Ph.D. student at KAIST Data Intelligence Lab, advised by Professor Steven Euijong Whang. My research interests center on Data Augmentation for Data-centric AI, where I explore methods to improve the robustness of AI systems while enhancing data quality and diversity. I have developed deep expertise in data augmentation techniques that are crucial for enhancing AI model performance and mitigating overfitting. My research contributions span multiple domains including AI, Computer Vision, and Data Mining. I have implemented AI solutions that address real-world challenges, effectively bridging the gap between theoretical research and practical applications.

Publications

• MIDAS: Misalignment-based Data Augmentation Strategy for Imbalanced Multimodal Learning
  S. Hwang*, S. Choi*, and S. E. Whang
  NeurIPS 2025 (Top Machine Learning & AI conference)
  Paper
• T-CIL: Temperature Scaling using Adversarial Perturbation for Calibration in Class-Incremental Learning
  S. Hwang, M. Kim, and S. E. Whang
  CVPR 2025 (Top Computer Vision & AI conference)
  Paper · Code · Slides · Talk
• GradMix: Gradient-based Selective Mixup for Robust Data Augmentation in Class-Incremental Learning
  M. Kim, S. Hwang, and S. E. Whang
  Preprint.
  Paper
• RC-Mixup: A Data Augmentation Strategy against Noisy Data for Regression Tasks
  S. Hwang, M. Kim, and S. E. Whang
  KDD 2024 (Top Data Mining conference)
  Paper · Code · Slides · Talk
• Quilt: Robust Data Segment Selection against Concept Drifts
  M. Kim, S. Hwang, and S. E. Whang
  AAAI 2024 (Top AI conference)
  Paper
• RegMix: Data Mixing Augmentation for Regression
  S. Hwang and S. E. Whang
  Preprint.
  Paper
• Inspector Gadget: A Data Programming-Based Labeling System for Industrial Images
  G. Heo, Y. Roh, S. Hwang, D. Lee, and S. E. Whang
  VLDB 2021 (Top Database conference)
  Paper

Education

• Ph.D. in Electrical Engineering, KAIST 2021–2026 (expected)
• M.S. in Electrical Engineering, KAIST 2019–2021
• B.S. in Electrical Engineering, Yonsei University (Magna cum laude) 2013–2019

Patent

• Electronic Device Supporting Manufacture of Semiconductor Device and Operating Method of Electronic Device Dec. 2023
  • E. Whang, S. Hwang, H. Kwak, S. Ryu, S. Lee, Y. Sohn
  • 10-2023-0163647, domestic, pending (Co-work with Samsung Electronics)

Experience

• Teaching Assistant, KAIST 2019–2023
  • Data Structures and Algorithms for Electrical Engineering
  • Foundation of Big Data Analytics
  • Database and Big Data Systems
  • Advanced Big Data - AI Integration
  • Special Topics in Economics: Modern Macroeconomic Theory and Dynamic Programming
  • Mentoring
    • Undergraduate Research Program (URP)
    • EE Co-op Internship
    • Pre-Semiconductor Research Program (Pre-SRP)
• Undergraduate Researcher, HPCS Lab, SNU Summer 2018
  • Topic: Spiking Neural Network (SNN) & High Performance Computing

Honors

• Research Breakthroughs, KAIST Sep. 2024
  • Among 15 top biannual research achievements in College of Engineering, KAIST
  • Title: AI updates itself by selecting and augmenting the data it trains on
• Graduation with honors: Magna cum laude (Top 3% in the College of Engineering), Yonsei University Feb. 2019
• Yonsei Jinri Scholarship (Academic Excellence Scholarship) Spring 2014 – Fall 2014
• Academic Excellence Award (Top 10% in the College of Engineering) Fall 2013, Spring 2018
• National Science & Engineering Scholarship Fall 2013
• Academic Excellence Award (Top 3% in the College of Engineering) Spring 2013