Education

KAIST, Daejeon, Korea

PhD., School of Computing

• Advisor: Prof. Seunghoon Hong

M.S., School of Computing

• Advisor: Prof. Seunghoon Hong

B.S., Department of Mathematical Science

• Double major in Computer Science

Publication

[1] Donggyun Kim, Jinwoo Kim, Seongwoong Cho, Chong Luo, Seunghoon Hong, "Universal Few-shot Learning of Dense Prediction Tasks with Visual Token Matching", In Proceedings of the International Conference on Learning Representations (ICLR), 2023. (notable-top-5%, oral presentation)

[2] Donggyun Kim, Seongwoong Cho, Wonkwang Lee, Seunghoon Hong, "Multi-Task Neural Processes", In Proceedings of the International Conference on Learning Representations (ICLR), 2022.

[3] Wonkwang Lee, Donggyun Kim, Seunghoon Hong, Honglak Lee, "High-Fidelity Synthesis with Disentangled Representation", In Proceedings of the European Conference on Computer Vision (ECCV), 2020.

Awards

Outstanding Paper Award in ICLR 2023

• Universal Few-shot Learning of Dense Prediction Tasks with Visual Token Matching

29th Samsung Humantech Paper Award (silver prize)

Qualcomm Innovation Fellowship South Korea (QIFK) 2022 Finalist

Project Experience

Uncertainty Modeling and Calibration for Safe AI

KAIST, Korea

•  Selected as Venture Research Program for Graduate and Ph.D. student in KAIST.

• Studied semi-supervised learning methods for semantic segmentation and applied them to safety-critical applications such as medical imaging.

Personalized Dialogue Systems

NCSoft Corporation, Korea

• Industry-university cooperation research project in KAIST.

• Studied personalized dialogue systems with Transformer and researched the advancement of memory networks.

Work Experience

SK hynix Inc., Incheon, Korea

Summer Internship, Data Science group

• Studied statistical systems in the semiconductor manufacturing process and developed wafer defect classifier using CNN.

Teaching Experience

Teaching Assistant

1. CS492I: Special Topics in Computer Science <Introduction to Deep Learning> (lecture in KAIST, Fall 2022)

2. Samsung AI Vision Class: Advanced Curriculum (lecture in Samsung Electronics Co., Ltd., Summer 2021)

3. CS492H: Deep Learning for Real-World Problem (lecture in KAIST, Spring & Fall 2020)

4. CS101: Introduction to Programming (lecture in KAIST, Fall 2018)

Undergraduate Tutor

1.  CS376: Machine Learning (lecture in KAIST, Fall 2019)