| 2025 | AAAI | MAMS: Model-Agnostic Module Selection Framework for Video Captioning. | Sangho Lee, Il Yong Chun, Hogun Park |
| 2025 | ICASSP | DX2CT: Diffusion Model for 3D CT Reconstruction from Bi or Mono-planar 2D X-ray(s). | Yun Su Jeong, Hye Bin Yoo, Il Yong Chun |
| 2025 | ICIP | Autoregression-Free Video Prediction Using Diffusion Model for Mitigating Error Propagation. | Woonho Ko, Jin Bok Park, Il Yong Chun |
| 2025 | ICRA | LaB-CL: Localized and Balanced Contrastive Learning for Improving Parking Slot Detection. | U. Jin Jeong, Sumin Roh, Il Yong Chun |
| 2020 | ACSSC | Momentum-Net for Low-Dose CT Image Reconstruction. | Siqi Ye, Yong Long, Il Yong Chun |
| 2020 | ICASSP | Light-Field Reconstruction and Depth Estimation from Focal Stack Images Using Convolutional Neural Networks. | Zhengyu Huang, Jeffrey A. Fessler, Theodore B. Norris, Il Yong Chun |
| 2019 | MICCAI | BCD-Net for Low-Dose CT Reconstruction: Acceleration, Convergence, and Generalization. | Il Yong Chun, Xuehang Zheng, Yong Long, Jeffrey A. Fessler |
| 2018 | ACSSC | Convolutional analysis operator learning: Application to sparse-view CT : (Invited Paper). | Il Yong Chun, Jeffrey A. Fessler |
| 2017 | ACSSC | Physics-driven deep training of dictionary-based algorithms for MR image reconstruction. | Saiprasad Ravishankar, Il Yong Chun, Jeffrey A. Fessler |
| 2016 | ITW | Optimal sparse recovery for multi-sensor measurements. | Il Yong Chun, Ben Adcock |