Hyunsei Lee

According to our database, Hyunsei Lee authored at least 13 papers between 2021 and 2026.

Collaborative distances:

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

2026

Million-Scale Text-to-Video Retrieval with Hyperdimensional Computing.

Hyunsei Lee, Jaewoo Gwak, Shinhyoung Jang, Junyoung Lee, Yeseong Kim

Proceedings of the 21st European Conference on Computer Systems, 2026

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

Late Breaking Results: Hyperdimensional Regression with Fine-Grained and Scalable Confidence-Based Learning.

Jiseung Kim, Hyunsei Lee, Tajana Rosing, Mohsen Imani, Yeseong Kim

Proceedings of the Design, Automation & Test in Europe Conference, 2025

PersonalizedHD: Hyperdimensional Online Learning with Scalable Personalization and Memory-Efficient Replay.

Shinhyoung Jang, Junyoung Lee, Seohyun Kim, Hyunsei Lee, Ilhong Suh, Yeseong Kim

Proceedings of the IEEE International Conference on Big Data, 2025

Bit-Level Semantics: Scalable RAG Retrieval with Neurosymbolic Hyperdimensional Computing.

Hyunsei Lee, Shinhyoung Jang, Jaewoo Gwak, Jongho Park, Yeseong Kim

Proceedings of the 34th International Conference on Parallel Architectures and Compilation Techniques, 2025

2024

Advancing Hyperdimensional Computing Based on Trainable Encoding and Adaptive Training for Efficient and Accurate Learning.

Jiseung Kim, Hyunsei Lee, Mohsen Imani, Yeseong Kim

ACM Trans. Design Autom. Electr. Syst., 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

2023

Efficient Hyperdimensional Learning with Trainable, Quantizable, and Holistic Data Representation.

Jiseung Kim, Hyunsei Lee, Mohsen Imani, Yeseong Kim

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

Comprehensive Integration of Hyperdimensional Computing with Deep Learning towards Neuro-Symbolic AI.

Hyunsei Lee, Jiseung Kim, Hanning Chen, Ariela Zeira, Narayan Srinivasa, Mohsen Imani, Yeseong Kim

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022

Neural computation for robust and holographic face detection.

Mohsen Imani, Ali Zakeri, Hanning Chen, Taehyun Kim, Prathyush Poduval, Hyunsei Lee, Yeseong Kim, Elaheh Sadredini, Farhad Imani

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

2021

Efficient Brain-Inspired Hyperdimensional Learning with Spatiotemporal Structured Data.

Jiseung Kim, Hyunsei Lee, Mohsen Imani, Yeseong Kim

Proceedings of the 29th International Symposium on Modeling, 2021