Do Yeong Kang
Do Yeong Kang
Ph.D. Student · Efficient AI

Do Yeong Kang

Dept. of Electrical & Computer Engineering, Georgia Institute of Technology

Hello! I am a Ph.D. student in Electrical and Computer Engineering at the Georgia Institute of Technology, in the Green Lab with Prof. Saibal Mukhopadhyay. I recently completed my M.S. at Sungkyunkwan University (SKKU), advised by Prof. Jong Hwan Ko. I also worked closely with Prof. Kang Eun Jeon. During my undergraduate studies, I earned my B.S. in Mathematics and Electronic & Electrical Engineering (double major) at SKKU.

My research questions are as follows: in theory, (1) how high-dimensional features can be captured in a compact latent space; and in practice, (2) how model weights and computation can be reduced, and (3) how those gains are realized on real hardware.

I'm interested in (1) Low Rank Compression and (2) Efficient Multi-Agent Systems & Communication. Previously, I worked on Hyperdimensional Computing (HDC) & In-Memory Computing (IMC).

News

Publications

* Corresponding author  ·  † Equal contribution.  Add PDF / arXiv / code links as they become available.

2026
Dynamic SVD via Token-Adaptive Basis Selection
D. Y. Kang, S. H. Han, J. G. Choo, K. E. Jeon*, J. H. Ko*
NeurIPS 2026 under review
R-ESC: Robustly Erasing Space Concepts via Stochastic Feature Remapping
K. E. Jeon, Y. S. Kang, D. Y. Kang, T. Y. Lee, G. M. Park*, J. H. Ko*
ECCV 2026 to appear
HyperSPACE: Sparse-Adder-Compatible Encoding for Efficient Hyperdimensional Computing on Digital CIM Arrays
Y. H. Oh, D. Y. Kang, J. Park, C. Hwang, K. E. Jeon*, J. H. Ko*
ISLPED 2026 Paper
Multi-Centroid Hyperdimensional Computing for Compact IMC Arrays via Dimension Pruning
D. Y. Kang†, Y. H. Oh†, C. Hwang, J. Kim, K. E. Jeon*, J. H. Ko*
IEEE Internet of Things Journal minor revision
2025
MEMHD: Memory-Efficient Multi-Centroid Hyperdimensional Computing for Fully-Utilized In-Memory Computing Architectures
D. Y. Kang, Y. H. Oh, C. Hwang, J. Kim, K. E. Jeon*, J. H. Ko*
DATE 2025 Paper
2023
Implementation of Autonomous Parking System Using LiDAR-based Triangulation Method
E. J. Hwang, D. Y. Kang, J. H. Moon, H. Y. Seong, S. W. Lee, J. W. Jeon*
KIPS 2023 Paper

Awards & Honors

Teaching Assistant