| A case study of healthcare platform using big data analytics and machine learning MDS Islam, D Liu, K Wang, P Zhou, L Yu, D Wu Proceedings of the 2019 3rd High Performance Computing and Cluster …, 2019 | 19 | 2019 |
| Mppredictor: An artificial intelligence-driven web tool for composition-based material property prediction V Gupta, K Choudhary, Y Mao, K Wang, F Tavazza, C Campbell, W Liao, ... Journal of Chemical Information and Modeling 63 (7), 1865-1871, 2023 | 18 | 2023 |
| A case study on parallel HDF5 dataset concatenation for high energy physics data analysis S Lee, K Hou, K Wang, S Sehrish, M Paterno, J Kowalkowski, Q Koziol, ... Parallel Computing 110, 102877, 2022 | 12 | 2022 |
| Asynchronous i/o strategy for large-scale deep learning applications S Lee, Q Kang, K Wang, J Balewski, A Sim, A Agrawal, A Choudhary, ... 2021 IEEE 28th International Conference on High Performance Computing, Data …, 2021 | 4 | 2021 |
| To Shuffle or Not To Shuffle: Mini-Batch Shuffling Strategies for Multi-class Imbalanced Classification Y Mao, V Gupta, K Wang, W Liao, A Choudhary, A Agrawal 2022 International Conference on Computational Science and Computational …, 2022 | 3 | 2022 |
| Using multi-resolution data to accelerate neural network training in scientific applications K Wang, S Lee, J Balewski, A Sim, P Nugent, A Agrawal, A Choudhary, ... 2022 22nd IEEE International Symposium on Cluster, Cloud and Internet …, 2022 | 3 | 2022 |
| A deep learning-based crystal plasticity finite element model Y Mao, S Keshavarz, MNT Kilic, K Wang, Y Li, ACE Reid, W Liao, ... Scripta Materialia 254, 116315, 2025 | 2 | 2025 |
| XElemNet: towards explainable AI for deep neural networks in materials science K Wang, V Gupta, CS Lee, Y Mao, MNT Kilic, Y Li, Z Huang, W Liao, ... Scientific reports 14 (1), 25178, 2024 | | 2024 |
| Addressing GPU memory limitations for Graph Neural Networks in High-Energy Physics applications CS Lee, V Hewes, G Cerati, K Wang, A Aurisano, A Agrawal, ... Frontiers in High Performance Computing 2, 1458674, 2024 | | 2024 |
| Materials Property Predictor for Crystalline Materials Using Cross-Property Deep Transfer Learning Framework V Gupta, K Choudhary, Y Mao, K Wang, F Tavazza, C Campbell, W Liao, ... | | |
