| Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ... Proceedings of the National Academy of Sciences 119 (15), e2113561119, 2022 | 249* | 2022 |
| Self-paced ensemble for highly imbalanced massive data classification Z Liu, W Cao, Z Gao, J Bian, H Chen, Y Chang, TY Liu 2020 IEEE 36th international conference on data engineering (ICDE), 841-852, 2020 | 150 | 2020 |
| Uni-mol: A universal 3d molecular representation learning framework G Zhou, Z Gao, Q Ding, H Zheng, H Xu, Z Wei, L Zhang, G Ke | 127 | 2023 |
| Analysis of the human protein atlas image classification competition W Ouyang, CF Winsnes, M Hjelmare, AJ Cesnik, L Åkesson, H Xu, ... Nature methods 16 (12), 1254-1261, 2019 | 108 | 2019 |
| The United States COVID-19 forecast hub dataset EY Cramer, Y Huang, Y Wang, EL Ray, M Cornell, J Bracher, A Brennen, ... Scientific data 9 (1), 462, 2022 | 82 | 2022 |
| Do deep learning models really outperform traditional approaches in molecular docking? Y Yu, S Lu, Z Gao, H Zheng, G Ke arXiv preprint arXiv:2302.07134, 2023 | 23 | 2023 |
| Hierst: A unified hierarchical spatial-temporal framework for covid-19 trend forecasting S Zheng, Z Gao, W Cao, J Bian, TY Liu Proceedings of the 30th ACM International Conference on Information …, 2021 | 10 | 2021 |
| Ultrasound-based silent speech interface using sequential convolutional auto-encoder K Xu, Y Wu, Z Gao Proceedings of the 27th ACM International Conference on Multimedia, 2194-2195, 2019 | 10 | 2019 |
| Do Deep Learning Methods Really Perform Better in Molecular Conformation Generation? G Zhou, Z Gao, Z Wei, H Zheng, G Ke arXiv preprint arXiv:2302.07061, 2023 | 9 | 2023 |
| Why Do Neural Response Generation Models Prefer Universal Replies? B Wu, N Jiang, Z Gao, S Li, W Rong, B Wang AAAI 2020 Workshop on Interactive and Conversational Recommendation Systems …, 2018 | 9 | 2018 |
| Highly accurate quantum chemical property prediction with uni-mol+ S Lu, Z Gao, D He, L Zhang, G Ke arXiv preprint arXiv:2303.16982, 2023 | 7 | 2023 |
| Uni-QSAR: an Auto-ML Tool for Molecular Property Prediction Z Gao, X Ji, G Zhao, H Wang, H Zheng, G Ke, L Zhang arXiv preprint arXiv:2304.12239, 2023 | 2 | 2023 |
| A comprehensive transformer-based approach for high-accuracy gas adsorption predictions in metal-organic frameworks J Wang, J Liu, H Wang, M Zhou, G Ke, L Zhang, J Wu, Z Gao, D Lu Nature Communications 15 (1), 1904, 2024 | 1 | 2024 |
| UMD-fit: Generating Realistic Ligand Conformations for Distance-Based Deep Docking Models E Alcaide, Z Li, H Zheng, Z Gao, G Ke NeurIPS 2023 Generative AI and Biology (GenBio) Workshop, 2023 | 1 | 2023 |
| Challenges of COVID-19 Case Forecasting in the US, 2020-2021 V Lopez, EY Cramer, R Pagano, JM Drake, EB O'Dea, BP Linas, T Ayer, ... medRxiv, 2023.05. 30.23290732, 2023 | 1 | 2023 |
| Uni-SMART: Universal Science Multimodal Analysis and Research Transformer H Cai, X Cai, S Yang, J Wang, L Yao, Z Gao, J Chang, S Li, M Xu, C Wang, ... arXiv preprint arXiv:2403.10301, 2024 | | 2024 |
| SciAssess: Benchmarking LLM Proficiency in Scientific Literature Analysis H Cai, X Cai, J Chang, S Li, L Yao, C Wang, Z Gao, Y Li, M Lin, S Yang, ... arXiv preprint arXiv:2403.01976, 2024 | | 2024 |
| End-to-End Crystal Structure Prediction from Powder X-Ray Diffraction Q Lai, L Yao, Z Gao, S Liu, H Wang, S Lu, D He, L Wang, C Wang, G Ke arXiv preprint arXiv:2401.03862, 2024 | | 2024 |
| Uni-pKa: An Accurate and Physically Consistent pKa Prediction through Protonation Ensemble Modeling H Zheng, W Luo, G Zhou, Z Zhu, Y Yuan, G Ke, Z Wei, Z Gao | | 2023 |
| Automatic Screen‐out of Ir (III) Complex Emitters by Combined Machine Learning and Computational Analysis (Advanced Optical Materials 18/2023) Z Cheng, J Liu, T Jiang, M Chen, F Dai, Z Gao, G Ke, Z Zhao, Q Ou Advanced Optical Materials 11 (18), 2370069, 2023 | | 2023 |
