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.

Education

• Ph.D. in Electrical Engineering, KAIST Mar. 2021–Feb. 2026
  Dissertation: Data Augmentation Strategies for Robust AI under Practical Conditions Advisor: Steven Euijong Whang (Data Intelligence Lab)
• M.S. in Electrical Engineering, KAIST Mar. 2019–Feb. 2021
  Thesis: Data Mixing Augmentation Techniques for Regression Advisor: Steven Euijong Whang (Data Intelligence Lab)
• B.S. in Electrical Engineering, Yonsei University Mar. 2013–Feb. 2019

Publications

• GradMix: Gradient-based Selective Mixup for Robust Data Augmentation in Class-Incremental Learning
  M. Kim, S. Hwang, and S. E. Whang
  To appear in KDD 2026 (Top Data Mining conference)
  Paper
• MIDAS: Misalignment-based Data Augmentation Strategy for Imbalanced Multimodal Learning
  S. Hwang*, S. Choi*, and S. E. Whang (* Equal contribution)
  NeurIPS 2025 (Top Machine Learning & AI conference)
  Paper Code Talk & Slides
• 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 Talk Slides
• 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 Talk Slides
• 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

Experience

• Research Assistant, Data Intelligence Lab, KAIST Mar. 2019–Feb. 2026
  Data augmentation for multimodal learning Efficient hyper-scale multimodal data analysis and filtering technology Improving model performance for imbalanced multimodal learning [NeurIPS'25] Confidence calibration in class-incremental learning Using adversarial perturbation for responsible AI [CVPR'25] Data augmentation in regression tasks Robust training for regression tasks (with Samsung Electronics) [KDD'24] Data augmentation for semiconductor spectrum data using reinforcement learning [Preprint]
• 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 AI/ML 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

• Best PhD Dissertation Award Feb. 2026
  1 of 9 recipients in College of Engineering, KAIST (The sole recipient from KAIST EE)
  Link
• Research Breakthroughs Sep. 2024
  Selected as one of the top 15 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 Feb. 2019
  College of Engineering, Yonsei University (Top 3%)
• Yonsei Jinri Scholarship Spring 2014 – Fall 2014
  Academic Excellence Scholarship, Yonsei University
• Academic Excellence Award Fall 2013, Spring 2018
  College of Engineering, Yonsei University (Top 10%)
• National Scholarship for Science & Engineering Fall 2013
  KOSAF, South Korea
• Academic Excellence Award Spring 2013
  College of Engineering, Yonsei University (Top 3%)

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 (In collaboration with Samsung Electronics)