| Scalable deeper graph neural networks for high-performance materials property prediction SS Omee, SY Louis, N Fu, L Wei, S Dey, R Dong, Q Li, J Hu Patterns 3 (5), 2022 | 60 | 2022 |
| Modeling and optimal design of a grid-independent solutions based on solar-hydrogen storage feeding green building by optimization algorithm J Lu, M Li, Q Li Journal of Energy Storage 62, 106844, 2023 | 13 | 2023 |
| Material transformers: deep learning language models for generative materials design N Fu, L Wei, Y Song, Q Li, R Xin, SS Omee, R Dong, EMD Siriwardane, ... Machine Learning: Science and Technology 4 (1), 015001, 2023 | 12 | 2023 |
| Crystal transformer: Self-learning neural language model for generative and tinkering design of materials L Wei, Q Li, Y Song, S Stefanov, E Siriwardane, F Chen, J Hu arXiv preprint arXiv:2204.11953, 2022 | 10 | 2022 |
| DeepXRD, a deep learning model for predicting XRD spectrum from material composition R Dong, Y Zhao, Y Song, N Fu, SS Omee, S Dey, Q Li, L Wei, J Hu ACS Applied Materials & Interfaces 14 (35), 40102-40115, 2022 | 8 | 2022 |
| Global mapping of structures and properties of crystal materials Q Li, R Dong, N Fu, SS Omee, L Wei, J Hu Journal of Chemical Information and Modeling 63 (12), 3814-3826, 2023 | 3 | 2023 |
| Deep Learning-Based Classification of Gamma Photon Interaction in Room-Temperature Semiconductor Radiation Detectors SK Chaudhuri, Q Li, KC Mandal, J Hu IEEE Access, 2024 | | 2024 |
| Automatic labeling algorithms and their applications in weld seam of oil pipeline M Li, W Fan, Q Li, Y Meng MATEC Web of Conferences 309, 03005, 2020 | | 2020 |
Jianjun HuProfessor of Computer Science, University of South CarolinaVerified email at cse.sc.edu
