Changwoo Lee

I am a fifth 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. Before I join U of M, I received my M.S. and B.S. at Hanyang University, Seoul, Republic of Korea.
My research is centered around efficient Deep Learning and Machine Learning algorithms, including model compression, structured matrices, and efficient multi-modal temporal and sensor fusion models.
Some fun facts about myself: I love running and brewing coffee. I also enjoy listening to Jazz music.
news
May 12, 2025 | I joined Google DeepMind as a Research Intern during Summer 2025 in Mountain View. Excited to do research with amazing people! |
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Sep 25, 2024 | A paper “BLAST: Block-Level Adaptive Structured Matrices for Efficient Deep Neural Network Inference” is accepted to NeurIPS24. |
May 28, 2024 | I joined Samsung Research America at Mountain View as NLP/ML Research Intern during Summer 2024. |
Jan 16, 2024 | Paper on “Differentiable Learning of Generalized Structured Matrices for Efficient Deep Neural Networks” is accepted to ICLR24. |
Jan 20, 2023 | Paper on “Deep Joint Source-Channel Coding with Iterative Source Error Correction” is accepted to AISTATS23. |
latest posts
selected publications
- ISCA23TaskFusion: 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