| 2026 | HPDC | Accelerating Block Low-Rank Foundation Model Inference on Memory-Constrained GPUs. | Pierre Abillama, Changwoo Lee, Juechu Dong, David T. Blaauw, Dennis Sylvester, Hun-Seok Kim |
| 2024 | ICLR | Differentiable Learning of Generalized Structured Matrices for Efficient Deep Neural Networks. | Changwoo Lee, Hun-Seok Kim |
| 2023 | AISTATS | Deep Joint Source-Channel Coding with Iterative Source Error Correction. | Changwoo Lee, Xiao Hu, Hun-Seok Kim |
| 2023 | ISCA | 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 T. Blaauw, Hun-Seok Kim, Dennis Sylvester |
| 2019 | ICMLA | GRAM: Gradient Rescaling Attention Model for Data Uncertainty Estimation in Single Image Super Resolution. | Ki-Seok Chung, Changwoo Lee |
| 2012 | GLOBECOM | Network massive MIMO for cell-boundary users: From a precoding normalization perspective. | Changwoo Lee, Chan-Byoung Chae, Taehyung Kim, Sooyong Choi, Juho Lee |
| 2010 | AINA | Exploiting Spectrum Usage Patterns for Efficient Spectrum Management in Cognitive Radio Networks. | Changwoo Lee, Wonjun Lee |
| 2007 | ICCSA | A Study on the Optimal Taper Tension Control in a Roll to Roll Machine. | Changwoo Lee, Jangwon Lee, Keehyun Shin |