Please refer to Google Scholar for the most up-to-date publications list.
2024
-
BLAST: Block-Level Adaptive Structured Matrices for Efficient Deep Neural Network Inference
In The 38th Annual Conference on Neural Information Processing Systems 2024
-
Differentiable Learning of Generalized Structured Matrices for Efficient Deep Neural Networks
In The Twelfth International Conference on Learning Representations 2024
2023
-
TaskFusion: An Efficient Transfer Learning Architecture with Dual Delta Sparsity for Multi-Task Natural Language Processing
In Proceedings of the 50th Annual International Symposium on Computer Architecture 2023
-
Learning-Based Near-Orthogonal Superposition Code for MIMO Short Message Transmission
Chenghong Bian, Chin-Wei Hsu,
Changwoo Lee, and
Hun-Seok Kim IEEE Transactions on Communications 2023
-
Deep Joint Source-Channel Coding with Iterative Source Error Correction
In International Conference on Artificial Intelligence and Statistics 2023
2022
-
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
2021
2020
-
A confidence-calibrated moba game winner predictor
Dong-Hee Kim, Changwoo Lee, and Ki-Seok Chung
In 2020 IEEE Conference on Games (CoG) 2020
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