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| 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 International Conference on Learning Representations, ICLR 2023, 2023 | 308 | 2023 |
| 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 | 199 | 2020 |
| 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 | 132 | 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 | 109 | 2022 |
| Do deep learning models really outperform traditional approaches in molecular docking? Y Yu, S Lu, Z Gao, H Zheng, G Ke ICLR 2023-Machine Learning for Drug Discovery workshop, 2023 | 38 | 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 | 29 | 2024 |
| Data-driven quantum chemical property prediction leveraging 3D conformations with Uni-Mol+ S Lu, Z Gao, D He, L Zhang, G Ke Nature communications 15 (1), 7104, 2024 | 24* | 2024 |
| Sciassess: Benchmarking llm proficiency in scientific literature analysis H Cai, X Cai, J Chang, S Li, L Yao, C Wang, Z Gao, H Wang, Y Li, M Lin, ... arXiv preprint arXiv:2403.01976, 2024 | 17 | 2024 |
| Do Deep Learning Methods Really Perform Better in Molecular Conformation Generation? G Zhou, Z Gao, Z Wei, H Zheng, G Ke ICLR 2023-Machine Learning for Drug Discovery workshop, 2023 | 15 | 2023 |
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| 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 | 11 | 2019 |
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| Automatic Screen‐out of Ir (III) Complex Emitters by Combined Machine Learning and Computational Analysis 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 | 10 | 2023 |
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| Bridging Machine Learning and Thermodynamics for Accurate pKa Prediction W Luo, G Zhou, Z Zhu, Y Yuan, G Ke, Z Wei, Z Gao, H Zheng JACS Au 4 (9), 3451-3465, 2024 | 4 | 2024 |
| End‐to‐End Crystal Structure Prediction from Powder X‐Ray Diffraction Q Lai, F Xu, L Yao, Z Gao, S Liu, H Wang, S Lu, D He, L Wang, L Zhang, ... Advanced Science, 2410722, 2024 | 4 | 2024 |
| Mmpolymer: A multimodal multitask pretraining framework for polymer property prediction F Wang, W Guo, M Cheng, S Yuan, H Xu, Z Gao Proceedings of the 33rd ACM International Conference on Information and …, 2024 | 3 | 2024 |
