Changwoo Lee
EECS 2431
1301 Beal Avenue
Ann Arbor, MI 40109
I am a fourth year Ph. D. student in the department of Electrical and Computer Engineering at the University of Michigan (U of M), advised by Prof. Hun-Seok Kim.
My research is centered around the energy efficient machine learning and deep learning models. Specifically, I am interested in the DNN Compression, learnable structural sparsity, and robust and efficient multi-modal systems.
Before I join U of M, I received my M.S. and B.S. at Hanyang University, Seoul, Republic of Korea.
news
Jan 16, 2024 | Paper on “Differentiable Learning of Generalized Structured Matrices for Efficient Deep Neural Networks” is accepted to ICLR24. |
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Jan 20, 2023 | Paper on “Deep Joint Source-Channel Coding with Iterative Source Error Correction” is accepted to AISTATS23. |
selected publications
- ISCATaskFusion: An Efficient Transfer Learning Architecture with Dual Delta Sparsity for Multi-Task Natural Language ProcessingIn Proceedings of the 50th Annual International Symposium on Computer Architecture 2023
- TCOMLearning-Based Near-Orthogonal Superposition Code for MIMO Short Message TransmissionIEEE Transactions on Communications 2023
- VLSIAudio and Image Cross-Modal Intelligence via a 10TOPS/W 22nm SoC with Back-Propagation and Dynamic Power GatingIn 2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits) 2022
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- Gram: Gradient rescaling attention model for data uncertainty estimation in single image super resolutionIn 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA) 2019