Donghyun Lee

According to our database, Donghyun Lee authored at least 15 papers between 2021 and 2026.

Collaborative distances:

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

2026

Optimal Brain Decomposition for Accurate LLM Low-Rank Approximation.

Yuhang Li, Donghyun Lee, Ruokai Yin, Priyadarshini Panda

CoRR, April, 2026

MD-SNN: Membrane Potential-aware Distillation on Quantized Spiking Neural Network.

Donghyun Lee, Abhishek Moitra, Youngeun Kim, Ruokai Yin, Priyadarshini Panda

Proceedings of the Design, Automation & Test in Europe Conference, 2026

2025

SpikePool: Event-driven Spiking Transformer with Pooling Attention.

Donghyun Lee, Alex Sima, Yuhang Li, Panos Stinis, Priyadarshini Panda

CoRR, October, 2025

OpenWorldSAM: Extending SAM2 for Universal Image Segmentation with Language Prompts.

Shiting Xiao, Rishabh Kabra, Yuhang Li, Donghyun Lee, João Carreira, Priyadarshini Panda

CoRR, July, 2025

Memba: Membrane-driven Parameter-Efficient Fine-Tuning for Mamba.

Donghyun Lee, Yuhang Li, Ruokai Yin, Shiting Xiao, Priyadarshini Panda

CoRR, June, 2025

GPTQv2: Efficient Finetuning-Free Quantization for Asymmetric Calibration.

Yuhang Li, Ruokai Yin, Donghyun Lee, Shiting Xiao, Priyadarshini Panda

CoRR, April, 2025

ReSpike: residual frames-based hybrid spiking neural networks for efficient action recognition.

Shiting Xiao, Yuhang Li, Youngeun Kim, Donghyun Lee, Priyadarshini Panda

Neuromorph. Comput. Eng., 2025

DuoGPT: Training-free Dual Sparsity through Activation-aware Pruning in LLMs.

Ruokai Yin, Yuhang Li, Donghyun Lee, Priyadarshini Panda

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

GPTAQ: Efficient Finetuning-Free Quantization for Asymmetric Calibration.

Yuhang Li, Ruokai Yin, Donghyun Lee, Shiting Xiao, Priyadarshini Panda

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Spiking Transformer with Spatial-Temporal Attention.

Donghyun Lee, Yuhang Li, Youngeun Kim, Shiting Xiao, Priyadarshini Panda

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

GenQ: Quantization in Low Data Regimes with Generative Synthetic Data.

Yuhang Li, Youngeun Kim, Donghyun Lee, Souvik Kundu, Priyadarshini Panda

Proceedings of the Computer Vision - ECCV 2024, 2024

TT-SNN: Tensor Train Decomposition for Efficient Spiking Neural Network Training.

Donghyun Lee, Ruokai Yin, Youngeun Kim, Abhishek Moitra, Yuhang Li, Priyadarshini Panda

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

2023

Policy Gradient-Based Core Placement Optimization for Multichip Many-Core Systems.

Wooshik Myung, Donghyun Lee, Chenhang Song, Guanrui Wang, Cheng Ma

IEEE Trans. Neural Networks Learn. Syst., August, 2023

StableQ: Enhancing Data-Scarce Quantization with Text-to-Image Data.

Yuhang Li, Youngeun Kim, Donghyun Lee, Priyadarshini Panda

CoRR, 2023

2021

QTTNet: Quantized tensor train neural networks for 3D object and video recognition.

Donghyun Lee, Dingheng Wang, Yukuan Yang, Lei Deng, Guangshe Zhao, Guoqi Li

Neural Networks, 2021