| 2025 | PAKDD | Machine Learning Techniques for Data Reduction of Climate Applications. | Xiao Li, Qian Gong, Jaemoon Lee, Scott Klasky, Anand Rangarajan, Sanjay Ranka |
| 2025 | PAKDD | Foundation Model for Lossy Compression of Spatiotemporal Scientific Data. | Xiao Li, Jaemoon Lee, Anand Rangarajan, Sanjay Ranka |
| 2024 | DCC | Guaranteeing Error Bounds with Preservation of Derived Quantities in Compressive Autoencoders. | Jaemoon Lee, Anand Rangarajan, Sanjay Ranka |
| 2024 | DCC | Hybrid Approaches for Data Reduction of Spatiotemporal Scientific Applications. | Xiao Li, Qian Gong, Jaemoon Lee, Scott Klasky, Anand Rangarajan, Sanjay Ranka |
| 2023 | DCC | Constrained Autoencoders: Incorporating equality constraints in learned scientific data compression. | Jaemoon Lee, Anand Rangarajan, Sanjay Ranka |
| 2023 | HiPC | Fast Algorithms for Scientific Data Compression. | Tania Banerjee, Jaemoon Lee, Jong Choi, Qian Gong, Jieyang Chen, Scott Klasky, Anand Rangarajan, Sanjay Ranka |
| 2022 | HiPC | An Algorithmic and Software Pipeline for Very Large Scale Scientific Data Compression with Error Guarantees. | Tania Banerjee, Jong Choi, Jaemoon Lee, Qian Gong, Ruonan Wang, Scott Klasky, Anand Rangarajan, Sanjay Ranka |
| 2021 | ICANN | Hybrid Generative Models for Two-Dimensional Datasets. | Hoda Shajari, Jaemoon Lee, Sanjay Ranka, Anand Rangarajan |