Geon Heo

Biography

I am a PhD candidate at KAIST Data Intelligence Lab, advised by Professor Steven Euijong Whang. I received my master's degree in electrical engineering from KAIST and bachelor's degree in basic science from DGIST. My research interests include Trustworthy/Responsible and Data-centric AI. Privacy-preserving ML has been my main research area and Weak Supervision is also one of my research interests.

Email: geon (dot) heo (at) kaist (dot) ac (dot) kr

Publication

Personalized DP-SGD using Sampling Mechanism. [Paper]
G.Heo, J. Seo, and S. E. Whang
Under review
PF-GAN: Private and Fair Data Generation.
S.Kim, Y.Roh, G.Heo, and S. E. Whang
Under review
Redactor: A Data-centric and Individualized Defense Against Inference Attacks. [Paper/Talk/Slides/Code]
G. Heo and S. E. Whang
AAAI 2023
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
Inspector Gadget: A Data Programming-Based Labeling System for Industrial Images. [Paper/Talk/Slides/Code]
G. Heo, Y. Roh, S. Hwang, D. Lee, and S. E. Whang
VLDB 2021
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)

Patent

Method and Apparatus for Creating Labeling Model with Data Programming.
S. E. Whang, Y. Roh, G. Heo, K. Tae, T. Lee, and D. Kim
Korea - Registration No.10-2230559-0000
Method and Apparatus for Targeted Data Poisoning Using Probabilistic Decision Boundaries.
S. E. Whang and G. Heo
Korea - Registration No.10-2022-0054357

Education

Ph.D. in Electrical Engineering, KAIST | Advisor: Prof. Steven Euijong Whang | Mar. 2020 - Present
Master in Electrical Engineering, KAIST | Advisor: Prof. Steven Euijong Whang | Mar. 2018 - Feb. 2020
B.S. in Basic Science, DGIST (Magna cum laude) | Mar. 2014 - Feb. 2018

Experience

Teaching Assistant at KAIST (2018 - 2022)
- 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
Undergraduate Group Research Program at DGIST (2017)
- Deep Reinforcement Learning with its application to optimization
Cu-op Intern at KIS Pricing (2017)
- Price prediction system
Research Intern at M.IN.D Lab (Prof. Taesup Moon) (2016)
- Diagnosis of fundus disease using CNN
Undergraduate Group Research Program at DGIST (2016)
- Modeling for the effect of the magnetic field on ion-channels in a HEK293T cell
Research Intern at 2 Labs, DGIST (2015)
- Magnetic materials and devices & Micro-scale robotics

Honors

Best TA Awards at KAIST (2020)
Graduation with honors: magna cum laude, DGIST (2018)
Student Honors (Top 5) Scholarship at DGIST (Fall 2016)
Student Honors (Top 5) Scholarship at DGIST (Spring 2016)
Student Honors (Top 5) Scholarship at DGIST (Spring 2015)