publications

2024

1. ICLR

   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

   arXiv Bib Code

   @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

1. ISCA

   TaskFusion: An Efficient Transfer Learning Architecture with Dual Delta Sparsity for Multi-Task Natural Language Processing

   Zichen Fan, Qirui Zhang, Pierre Abillama, and 5 more authors

   In Proceedings of the 50th Annual International Symposium on Computer Architecture 2023
2. TCOM

   Learning-Based Near-Orthogonal Superposition Code for MIMO Short Message Transmission

   Chenghong Bian, Chin-Wei Hsu, Changwoo Lee, and 1 more author

   IEEE Transactions on Communications 2023

   arXiv
3. AISTATS23

   Deep Joint Source-Channel Coding with Iterative Source Error Correction

   Changwoo Lee, Xiao Hu, and Hun-Seok Kim

   In International Conference on Artificial Intelligence and Statistics 2023

   arXiv Bib Code

   @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

1. 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, and 8 more authors

   In 2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits) 2022

2021

2020

1. A confidence-calibrated moba game winner predictor

   Dong-Hee Kim, Changwoo Lee, and Ki-Seok Chung

   In 2020 IEEE Conference on Games (CoG) 2020

   Bib

   @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

1. 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

   Bib

   @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}
   }