@inproceedings{lee2024blast,title={BLAST: Block-Level Adaptive Structured Matrices for Efficient Deep Neural Network Inference},author={Lee, Changwoo and Kwon, Soo Min and Qu, Qing and Kim, Hun-Seok},booktitle={The 38th Annual Conference on Neural Information Processing Systems},year={2024},}
ICLR24
Differentiable Learning of Generalized Structured Matrices for Efficient Deep Neural Networks
Changwoo Lee, and Hun-Seok Kim
In The Twelfth International Conference on Learning Representations, 2024
@inproceedings{lee2023differentiable,title={Differentiable Learning of Generalized Structured Matrices for Efficient Deep Neural Networks},author={Lee, Changwoo and Kim, Hun-Seok},booktitle={The Twelfth International Conference on Learning Representations},year={2024}}
2023
ISCA23
TaskFusion: An Efficient Transfer Learning Architecture with Dual Delta Sparsity for Multi-Task Natural Language Processing
Zichen Fan, Qirui Zhang, Pierre Abillama, Sara Shoouri, Changwoo Lee, David Blaauw, and 2 more authors
In Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023
TCOM
Learning-Based Near-Orthogonal Superposition Code for MIMO Short Message Transmission
Chenghong Bian, Chin-Wei Hsu, Changwoo Lee, and Hun-Seok Kim
@inproceedings{lee2023deep,title={Deep Joint Source-Channel Coding with Iterative Source Error Correction},author={Lee, Changwoo and Hu, Xiao and Kim, Hun-Seok},booktitle={International Conference on Artificial Intelligence and Statistics},year={2023}}
2022
VLSI
Audio and Image Cross-Modal Intelligence via a 10TOPS/W 22nm SoC with Back-Propagation and Dynamic Power Gating
Zichen Fan, Hyochan An, Qirui Zhang, Boxun Xu, Li Xu, Chien-Wei Tseng, and 5 more authors
In 2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits), 2022
2020
A confidence-calibrated moba game winner predictor
@inproceedings{kim2020confidence,title={A confidence-calibrated moba game winner predictor},author={Kim, Dong-Hee and Lee, Changwoo and Chung, Ki-Seok},booktitle={2020 IEEE Conference on Games (CoG)},pages={622--625},year={2020},organization={IEEE}}
2019
Gram: Gradient rescaling attention model for data uncertainty estimation in single image super resolution
Changwoo Lee, and Ki-Seok Chung
In 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA), 2019
@inproceedings{lee2019gram,title={Gram: Gradient rescaling attention model for data uncertainty estimation in single image super resolution},author={Lee, Changwoo and Chung, Ki-Seok},booktitle={2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA)},pages={8--13},year={2019},organization={IEEE}}