Biography

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 Responsible AI and 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. Through collaborations with Samsung Electronics and Samsung Research, I have gained extensive industry experience implementing AI solutions that address real-world challenges, effectively bridging the gap between theoretical research and practical applications.

Email: sh (dot) hwang (at) kaist (dot) ac (dot) kr

Curriculum Vitae, linkedin, github, Google Scholar

Publication

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)
T-CIL: Temperature Scaling using Adversarial Perturbation for Calibration in Class-Incremental Learning [Paper / Code / Slides / Talk / Poster]
S. Hwang, M. Kim, and S. E. Whang
CVPR 2025 (Top Computer Vision conference)
GradMix: Gradient-based Selective Mixup for Robust Data Augmentation in Class-Incremental Learning [Paper]
M. Kim, S. Hwang, and S. E. Whang
Under review
RC-Mixup: A Data Augmentation Strategy against Noisy Data for Regression Tasks [Paper / Code / Slides / Talk]
S. Hwang, M. Kim, and S. E. Whang
KDD 2024 (Top Data Mining conference) | KAIST Research Breakthroughs (Sep. 2024)
Quilt: Robust Data Segment Selection against Concept Drifts [Paper / Code / Slides / Talk]
M. Kim, S. Hwang, and S. E. Whang
AAAI 2024 (Top AI conference)
RegMix: Data Mixing Augmentation for Regression [Paper]
S. Hwang and S. E. Whang
Arxiv. 2021
Inspector Gadget: A Data Programming-Based Labeling System for Industrial Images [Paper]
G. Heo, Y. Roh, S. Hwang, D. Lee, and S. E. Whang
VLDB 2021 (Top Database conference)
Enhancing Data Sparsity in Deep Neural Networks
S. Lee, S. Hwang, K. Kim, and W. J. Song
Summer Annual Conference of IEIE 2018

Education

Ph.D. in Electrical Engineering, KAIST | Mar. 2021 - Feb. 2026 (Expected) Advisor: Prof. Steven Euijong Whang
M.S. in Electrical Engineering, KAIST | Mar. 2019 - Feb. 2021 Advisor: Prof. Steven Euijong Whang
B.S. in Electrical Engineering, Yonsei University (Magna cum laude) Mar. 2013 - Feb. 2019

Patent

Electronic Device Supporting Manufacture of Semiconductor Device and Operating Method of Electronic Device

E. Whang, S. Hwang, H. Kwak, S. Ryu, S. Lee, Y. Sohn

10-2023-0163647, domestic, pending, Dec. 2023. (Co-work with Samsung Electronics)

Experience

Teaching Assistant, KAIST (2019 - 2023)
- EE205 Data Structures and Algorithms for Electrical Engineering
- EE412 Foundation of Big Data Analytics
- EE477 (EE488B & EE488G) Database and Big Data Systems
- EE616 Advanced Big Data - AI Integration
- HSS310 Special Topics in Economics <Modern Macroeocnomic Theory and Dynamic Programming>
- Undergraduate Research Program (URP)
- EE Co-op Internship
- Pre-Semiconductor Research Program (Pre-SRP)
Undergraduate Researcher, HPCS Lab, SNU (Summer 2018)
- Spiking Neural Network (SNN) & High Performance Computing

Honors

Research Breakthroughs, KAIST | Sep. 2024
- AI updates itself by selecting and augmenting the data it trains on
- Among 15 top biannual research achievements in KAIST College of Engineering
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

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