Dongwoo Lew

Orcid: 0000-0001-8631-6804

According to our database1, Dongwoo Lew authored at least 12 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
CAT SNN: Conversion Aware Training for High Accuracy and Hardware Friendly Spiking Neural Networks.
IEEE Trans. Emerg. Top. Comput., 2025

HR<sup>2</sup>: A PVT Aware Hierarchical RL Based Sizing Framework for Robust Analog Circuit Design.
Proceedings of the 7th ACM/IEEE Symposium on Machine Learning for CAD, 2025

SiGNoR: Similarity-based Graph Partitioning and Node Reuse for Memory Efficient GNN Acceleration.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2025

Bit-Preserving Analog Alignment-Based Cross-Domain FP-CIM for LLMs.
Proceedings of the IEEE Asia Pacific Conference on Circuits and Systems, 2025

Leveraging Natural Structured Sparsity for Energy-Efficient Spiking Transformer Processing.
Proceedings of the IEEE Asia Pacific Conference on Circuits and Systems, 2025

Tru-Sign: Lossless Truncated Sign Based Energy Efficient DNN Accelerator.
Proceedings of the 7th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2025

2022
Early Termination Based Training Acceleration for an Energy-Efficient SNN Processor Design.
IEEE Trans. Biomed. Circuits Syst., 2022

A Layer-wise Training and Pruning Method for Memory Efficient On-chip Learning Hardware.
Proceedings of the 19th International SoC Design Conference, 2022

A time-to-first-spike coding and conversion aware training for energy-efficient deep spiking neural network processor design.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021
An Energy-Efficient SNN Processor Design based on Sparse Direct Feedback and Spike Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
Rank order coding based spiking convolutional neural network architecture with energy-efficient membrane voltage updates.
Neurocomputing, 2020

Early Image Termination Technique During STDP Training of Spiking Neural Network.
Proceedings of the International SoC Design Conference, 2020


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