Hyukjun Kwon

According to our database, Hyukjun Kwon authored at least 8 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Justified-envy-minimal efficient mechanisms for priority-based matching.

Hyukjun Kwon, Ran I. Shorrer

Games Econ. Behav., 2026

2025

ML-Based Fast and Precise Target Docking of Autonomous Mobile Robots for Intelligent Transportation Systems Using 2-D LiDAR.

Sunghoon Hong, Hyukjun Kwon, Gyuhun Sim, Kwangyong Choi, Daejin Park

IEEE Trans. Intell. Transp. Syst., October, 2025

Verifying Differentially Private Median Estimation.

Hyukjun Kwon, Chenglin Fan

CoRR, May, 2025

Hyperdimensional Computing-Based Federated Learning in Mobile Robots Through Synthetic Oversampling.

Hyunsei Lee, Woongjae Han, Hojeong Kim, Hyukjun Kwon, Shinhyoung Jang, Ilhong Suh, Yeseong Kim

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

2024

Brain-Inspired Hyperdimensional Computing in the Wild: Lightweight Symbolic Learning for Sensorimotor Controls of Wheeled Robots.

Hyukjun Kwon, Kangwon Kim, Junyoung Lee, Hyunsei Lee, Jiseung Kim, Jinhyung Kim, Taehyung Kim, Yongnyeon Kim, Yang Ni, Mohsen Imani, Ilhong Suh, Yeseong Kim

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Efficient Forward-Only Training for Brain-Inspired Hyperdimensional Computing.

Hyunsei Lee, Jiseung Kim, Seohyun Kim, Hyukjun Kwon, Mohsen Imani, Ilhong Suh, Yeseong Kim

Proceedings of the 42nd IEEE International Conference on Computer Design, 2024

Towards Forward-Only Learning for Hyperdimensional Computing.

Hyunsei Lee, Hyukjun Kwon, Jiseung Kim, Seohyun Kim, Mohsen Imani, Yeseong Kim

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

2022

QuiltNet: efficient deep learning inference on multi-chip accelerators using model partitioning.

Jongho Park, Hyukjun Kwon, Seowoo Kim, Junyoung Lee, Minho Ha, Euicheol Lim, Mohsen Imani, Yeseong Kim

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022