| 2023 | ICIP | DENSECL: Haze Mitigation Using Dense Blocks and Contrastive Loss Regularization. | Somosmita Mitra, Byung H. Park |
| 2023 | VDA | CPViz: Visualizing clinical pathways represented in higher-order networks. | Junghoon Chae, Byung H. Park, Minsu Kim, Everett Neil Rush, zgr zmen, Makoto Jones, Merry Ward, Jonathan R. Nebeker |
| 2022 | IGARSS | A Weakly-Supervised, Multitask Deep Learning Framework for Shadow Mitigation in Remote Sensing Imagery. | Scott D. Couwenhoven, Emmett J. Ientilucci, Byung H. Park, David Hughes |
| 2021 | IGARSS | Haze Mitigation in High-Resolution Satellite Imagery Using Enhanced Style-Transfer Neural Network and Normalization Across Multiple GPUs. | Byung H. Park, Somrita Chattopadhyay, John Burgin |
| 2020 | CBMS | Converting Clinical Pathways to BPM+ Standards: A Case Study in Stable Ischemic Heart Disease. | Junghoon Chae, Byung H. Park, Makoto Jones, Merry Ward, Jonathan R. Nebeker |
| 2020 | CBMS | Characterizing Sub-Cohorts via Data Normalization and Representation Learning. | Everett Neil Rush, zgr zmen, Kathryn Knight, Byung H. Park, Clifton Baker, Makoto Jones, Merry Ward, Jonathan R. Nebeker |
| 2018 | CLUSTER | A Big Data Analytics Framework for HPC Log Data: Three Case Studies Using the Titan Supercomputer Log. | Byung H. Park, Yawei Hui, Swen Boehm, Rizwan A. Ashraf, Christopher Layton, Christian Engelmann |
| 2018 | ICDE | Improving Quality of Observational Streaming Medical Data by Using Long Short-Term Memory Networks (LSTMs). | Michael Bowie, Edmon Begoli, Byung H. Park |
| 2017 | CLUSTER | Big Data Meets HPC Log Analytics: Scalable Approach to Understanding Systems at Extreme Scale. | Byung H. Park, Saurabh Hukerikar, Ryan Adamson, Christian Engelmann |