Researcher on Trustworthy/Responsible AI.
Love to learn new things.
Love to play the violin.
I am a Ph.D. student at the Data Intelligence Lab of KAIST EE and advised by Professor Steven Euijong Whang. I received B.S. in electrical engineering from KAIST in 2018.
My main research area is Trustworthy/Responsible AI, which includes fairness, robustness, interpretability, and transparency. I believe that these aspects will be indispensable in future machine learning systems. Among the trustworthiness aspects, I am especially interested in building fair AI systems that do not have demographic or individual disparities. To this end, I currently focus on lowering the barrier of fair AI development, achieving multiple aspects of trustworthiness, and building human-centered fair AI systems.
I am currently a research intern at NVIDIA Research, working with great mentors Weili Nie, De-An Huang, Arash Vahdat, and Anima Anandkumar.
[C2] Inspector Gadget: A Data Programming-Based Labeling System for Industrial Images [Paper]
G. Heo, Y. Roh, S. Hwang, D. Lee, and S. E. Whang
[J3] Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective [Paper]
S. E. Whang, Y. Roh, H. Song, and J. Lee
[J2] Responsible AI Challenges in End-to-end Machine Learning [Paper]
S. E. Whang, K. Tae, Y. Roh, and G. Heo
IEEE Data Engineering Bulletin 2021
[J1] A Survey on Data Collection for Machine Learning: A Big Data - AI Integration Perspective [Paper]
Y. Roh, G. Heo, and S. E. Whang
IEEE TKDE 2021 (Early Access from 2019)
[W1] Data Cleaning for Accurate, Fair, and Robust Models: A Big Data - AI Integration Approach [Paper]
K. Tae, Y. Roh, Y. Oh, H. Kim, S. E. Whang
DEEM @ ACM SIGMOD 2019
Ph.D. (Integrated with Master) in Electrical Engineering, KAIST, Sept. 2019 - Present
Master in Electrical Engineering, KAIST, Sept. 2018 - Aug. 2019
B.S. in Electrical Engineering & Minor in Intellectual Property, KAIST, Feb. 2014 - Aug. 2018 (Summa Cum Laude )
Korea Science Academy, Feb. 2011 - Feb. 2014
Best Research Achievement Award, KAIST EE, Spring 2022
Research Breakthroughs, KAIST, Spring 2021
The Qualcomm Innovation Fellowship, Dec. 2020
Best TA Award, KAIST, Jun. 2020
Department Honors (Top-3) Scholarship, KAIST, Spring 2017
Dean's List, KAIST, Spring 2016
National Science & Engineering Scholarship, Spring 2016 - Spring 2018
Machine Learning Robustness, Fairness, and their Convergence
Tutorial @ ACM SIGKDD Conference, Aug. 2021
Responsible AI Techniques for Model Training
TechTalk to the TensorFlow team @ Google Korea, Feb. 2020