Education
PhD (2016.09 – 2021.08, Korea University, South Korea)
> Machine learning with limited data (Few-shot learning)
> Explainable artificial intelligence
Experience
SK Telecom (2022.12 – Current, BioMedical AI Team, South Korea)
> Machine learning for a vision-based diagnosis of veterinary diseases
SK Holdings C&C (2022.01 – 2022.09, Data Anlaytics Team, South Korea)
> Analyzing various industrial data and developing machine learning algorithms
Postdoctoral Researcher (2021.09 – 2021.12, AI Research Center, Korea Univsersity, South Korea)
> Machine learning with limited data (Few-shot learning)
> AI-based stock trading
Visiting Student (2018.06 – 2018.09, Johns Hopkins Univsersity, USA)
> Few-shot learning, advised by Bloomberg Distinguished Professor Alan Yuille
PhD Student (2015.08 – 2016.05, North Carolina State University, USA)
> Network performance analysis based on stochastic processes and measure theory approaches
> Fully supported as a teaching & research assistant
Honors and Awards
(2019) Outstanding Paper Award, Korea University
(2015) Scholarship for a Teaching and Research Assistant, North Carolina State University
(2014) Best Paper Award, J-KICS (Journal of Korea Information and Communications Society)
Publication ( ⭐ First authors with equal contributions )
keyword: ⓐ Few-Shot Learning ⓑ XAI ⓒ Stock Trading
Hong-Gyu Jung⭐, Sin-Han Kang⭐, Hee-Dong Kim, Dong-Ok Won, and Seong-Whan Lee
Counterfacutal Explanation Based on Gradual Construction for Deep Networks
Accepted, Pattern Recognition (Impact Factor: 8.518) [PDF Link]
(Field of Research) Medical AI
Hong-Gyu Jung⭐, Woo-Jeong Nam⭐, Hyun-Woo Kim, and Seong-Whan Lee
Weakly Supervised Thoracic Disease Localization via Disease Masks
Accepted, Neurocomputing (Impact Factor: 4.438)
(Field of Research) AI-based stock trading
Kidon Park, Hong-Gyu Jung, Tae-San Um, and Seong-Whan Lee
Uncertainty-Aware Portfolio Management with Risk-Sensitive Multi-Agent Network
IEEE Transactions on Neural Networks and Learning Systems, 2022 (Impact Factor: 14.255) [PDF Link]
(Field of Research) Machine Learning with Limited Data
Hong-Gyu Jung ⭐ and Seong-Whan Lee
Few-Shot Learning with Geometric Constraints
IEEE Transactions on Neural Networks and Learning Systems, 2020 (Impact Factor: 10.451) [PDF Link]
(Field of Research) Machine Learning with Limited Data
Jin-Woo Seo⭐, Hong-Gyu Jung⭐, and Seong-Whan Lee
Self-Augmentation: Generalizing Deep Networks to Unseen Classes for Few-Shot Learning
Neural Networks, 2021 (Impact Factor: 8.050) [PDF Link]
(Field of Research) Machine Learning with Limited Data
Geonuk Kim ⭐, Hong-Gyu Jung⭐, and Seong-Whan Lee
Spatial Reasoning for Few-Shot Object Detection
Pattern Recognition, 2021 (Impact Factor: 7.740) [PDF Link]
(Field of Research) Machine Learning with Limited Data
Ji-Hoon Kim, Sang-Hoon Lee, Ji-Hyun Lee, Hong-Gyu Jung, and Seong-Whan Lee
GC-TTS: Few-shot Speaker Adaptation with Geometric Constraints
IEEE SMC 2021, Accepted (Application of the T-NNLS paper to the speech domain)
(Field of Research) Explainable AI for Scene Understanding
Jung-Jun Kim, Dong-Gyu Lee, Jialin Wu, Hong-Gyu Jung, and Seong-Whan Lee
Visual Question Answering based on Local-Scene-Aware Referring Expression Generation
Neural Networks, 2021 (Impact Factor: 8.050) [PDF Link]
(Field of Research) Computer Vision
Woo-Hyuck Song, Hong-Gyu Jung, In-Yup Kwak, and Seong-Whan Lee
Oblique Aerial Image Matching based on Iterative Simulation and Homography Evaluation
Pattern Recognition, 2019 (Impact Factor: 7.740) [PDF Link]
(Field of Research) Signal Processing for Wireless Communications
Honggyu Jung⭐, Thu L. N. Nguyen, and Yoan Shin
Cooperative Spectrum Sensing Using Sub-Nyquist Sampling in Cognitive Radios
IEICE Trans. Fundamentals., 2016 [PDF Link]
(Field of Research) Signal Processing for Wireless Communications
Honggyu Jung⭐, Kwang-Yul Kim, and Yoan Shin
Cooperative Bayesian Compressed Spectrum Sensing for Correlated Wideband Signals
IEICE Trans. Fundamentals., 2014 [PDF Link]