Donghyun Lee

According to our database, Donghyun Lee authored at least 6 papers between 2023 and 2026.

Collaborative distances:

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

2026

GS-Scale: Unlocking Large-Scale 3D Gaussian Splatting Training via Host Offloading.

Donghyun Lee, Dawoon Jeong, Jae W. Lee, Hongil Yoon

Proceedings of the 31st ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2026

2025

FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction.

Donghyun Lee, Dawoon Jeong, Jae W. Lee, Hongil Yoon

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

FACIL: Flexible DRAM Address Mapping for SoC-PIM Cooperative On-device LLM Inference.

Seong Hoon Seo, Junghoon Kim, Donghyun Lee, Seonah Yoo, Seokwon Moon, Yeonhong Park, Jae W. Lee

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2025

2024

Frugal 3D Point Cloud Model Training via Progressive Near Point Filtering and Fused Aggregation.

Donghyun Lee, Yejin Lee, Jae W. Lee, Hongil Yoon

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Liquid: Mix-and-Match Multiple Image Formats to Balance DNN Training Pipeline.

Woohyeon Baek, Jonghyun Bae, Donghyun Lee, Hyunwoong Bae, Yeonhong Park, Jae W. Lee

Proceedings of the 14th ACM SIGOPS Asia-Pacific Workshop on Systems, 2023

Not All Neighbors Matter: Point Distribution-Aware Pruning for 3D Point Cloud.

Yejin Lee, Donghyun Lee, JungUk Hong, Jae W. Lee, Hongil Yoon

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023