Donghyun Lee

Donghyun Lee

Ph.D student in the EE Department at Yale University.

Welcome :)

Hello, I am 1st year Ph.D. student in Electrical Engineering Department at Yale University, under supervised by Prof. Priyadarshini Panda.

I received B.E. degree in Mechanical Engineering Department at Yonsei University, South Korea and M.S. degree in Precision Instrument at Tsinghua University, China. Prior to joining Yale, I worked as an AI researcher at Ulsan National Institute of Science and Technology (UNIST), South Korea. My research interests center around spiking neural network, efficient deep learning strategies, and neuromorphic computing.

Hits

News

2025

  • [Mar] 📖 One paper is accepted to Small.
  • [Feb] 📖 One paper is accepted to Computer Vision and Pattern Recognition (CVPR).
  • [Jan] 📖 One paper is accepted to Neuromorphic Computing and Engineering.

2024

  • [Jul] 📖 One paper is accepted to the 18th European Conference on Computer Vision (ECCV).
  • [Apr] 📖 One paper is accepted to Applied Materials Today.
  • [Feb] 🎉 I will be starting my Ph.D. in Electrical Engineering at Yale University from Fall 2024!
  • [Feb] 📖 One paper is accepted to Advanced Functional Materials.
  • [Jan] 📖 One paper is accepted to the 27th Design, Automation and Test in Europe Conference (DATE).

Publications

  • GPTQv2: Efficient Finetuning-Free Quantization with Asymmetric Calibration
    Yuhang Li, Ruokai Yin, Donghyun Lee, Shiting Xiao, Priyadarshini Panda
    Under-review
    [paper] [code]

  • TesseraQ: Ultra Low-Bit LLM Post-Training Quantization with Block Reconstruction
    Yuhang Li, Donghyun Lee, Ruokai Yin, Priyadarshini Panda
    Under-review
    [paper] [code]

  • Infrared-Triggered Retinomorphic Artificial Synapse Electronic Device Containing Multi-Dimensional van der Waals Heterojunctions
    Soobin Shim*, Seongchan Kim*, Donghyun Lee*, Hyeongtae Kim, Mi Ji Kwon, Su-yeon Cho, Windy Ayu Lestari, Jaeyoung Seo, Dongjoon Yeo, Jina Na, Somnath Suhas Kundale, Nuri Oh and Jun Hong Park
    Small, 2025
    [paper]

  • Spiking Transformer with Spatial-Temporal Attention
    Donghyun Lee, Yuhang Li, Youngeun Kim, Shiting Xiao, Priyadarshini Panda
    Computer Vision and Pattern Recognition (CVPR), 2025
    [paper] [code]

  • ReSpike: Residual Frames-based Spiking Neural Networks for Efficient Action Recognition
    Shiting Xiao, Yuhang Li, Youngeun Kim, Donghyun Lee, Priyadarshini Panda
    Neuromorphic Computing and Engineering, 2025
    [paper] [code]

  • GenQ: Quantization in Low Data Regimes with Generative Synthetic Data
    Yuhang Li, Youngeun Kim, Donghyun Lee, Souvik Kundu, Priyadarshini Panda
    European Conference on Computer Vision (ECCV), 2024
    [paper] [code]

  • Forming-less flexible memristor crossbar array for neuromorphic computing applications produced using low-temperature atomic layer deposition
    Minjae Kim, Dong-eun Kim, Yue Wang, Donghyun Lee, Dong-Hyeok Lim, Haryeong Choi, Ioannis Kymissis, J Joshua Yang, Joonki Suh, Hong-Sub Lee, Hyung-Ho Park
    Applied Materials Today, 2024
    [paper]

  • Molecularly Reconfigurable Neuroplasticity of Layered Artificial Synapse Electronics \ Dhananjay D Kumbhar, Yeonjin Je, Seongin Hong, Donghyun Lee, Hyeongtae Kim, Mi Ji Kwon, Su‐Yeon Cho, Do‐Hyeon Lee, Dong‐Hyeok Lim, Sunkook Kim, Jun Hong Park
    Advanced Functional Materials, 2024
    [paper]

  • TT-SNN: Tensor Train Decomposition for Efficient Spiking Neural Network Training
    Donghyun Lee, Ruokai Yin, Youngeun Kim, Abhishek Moitra, Yuhang Li, Priyadarshini Panda
    Design, Automation and Test in Europe Conference (DATE), 2024
    [paper] [code]

  • Wafer‐Scale Memristor Array Based on Aligned Grain Boundaries of 2D Molybdenum Ditelluride for Application to Artificial Synapses
    Jihoon Yang, Aram Yoon, Donghyun Lee, Seunguk Song, IL John Jung, Dong‐Hyeok Lim, Hongsik Jeong, Zonghoon Lee, Mario Lanza, Soon‐Yong Kwon
    Advanced Functional Materials, 2023
    [paper]

  • Investigating Series and Parallel Oxide Memtransistors for Tunable Weight Update Properties
    Seung-Hyeon Kang, Seonguk Yang, Donghyun Lee, Sungkyu Kim, Joonki Suh, Hong-Sub Lee
    ACS Applied Electronic Materials, 2023
    [paper]

  • Double-floating-gate van der Waals transistor for high-precision synaptic operations
    Hoyeon Cho, Donghyun Lee, Kyungmin Ko, Der-Yuh Lin, Huimin Lee, Sangwoo Park, Beomsung Park, Byung Chul Jang, Dong-Hyeok Lim, Joonki Suh
    ACS nano, 2023
    [paper]

  • Filamentary and interface-type memristors based on tantalum oxide for energy-efficient neuromorphic hardware
    Minjae Kim, Malik Abdul Rehman, Donghyun Lee, Yue Wang, Dong-Hyeok Lim, Muhammad Farooq Khan, Haryeong Choi, Qing Yi Shao, Joonki Suh, Hong-Sub Lee, Hyung-Ho Park
    ACS applied materials & interfaces, 2022
    [paper]

  • Policy gradient-based core placement optimization for multichip many-core systems
    Wooshik Myung, Donghyun Lee, Chenhang Song, Guanrui Wang, Cheng Ma
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
    [paper] [code]

  • 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
    [paper] [code]

Professional Activities

  • Reviewer, NeurIPS 2024, 2025
  • Reviewer, ICLR 2025
  • Reviewer, AISTATS 2025