| Geometry-enhanced molecular representation learning for property prediction X Fang, L Liu, J Lei, D He, S Zhang, J Zhou, F Wang, H Wu, H Wang Nature Machine Intelligence 4 (2), 127-134, 2022 | 259 | 2022 |
| Helixfold-single: Msa-free protein structure prediction by using protein language model as an alternative X Fang, F Wang, L Liu, J He, D Lin, Y Xiang, X Zhang, H Wu, H Li, L Song arXiv preprint arXiv:2207.13921, 2022 | 35 | 2022 |
| Ssml: Self-supervised meta-learner for en route travel time estimation at baidu maps X Fang, J Huang, F Wang, L Liu, Y Sun, H Wang Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 30 | 2021 |
| Unsupervised deep domain adaptation for pedestrian detection L Liu, W Lin, L Wu, Y Yu, MY Yang Computer Vision–ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8 …, 2016 | 29 | 2016 |
| A method for multiple-sequence-alignment-free protein structure prediction using a protein language model X Fang, F Wang, L Liu, J He, D Lin, Y Xiang, K Zhu, X Zhang, H Wu, H Li, ... Nature Machine Intelligence 5 (10), 1087-1096, 2023 | 20 | 2023 |
| HelixADMET: a robust and endpoint extensible ADMET system incorporating self-supervised knowledge transfer S Zhang, Z Yan, Y Huang, L Liu, D He, W Wang, X Fang, X Zhang, ... Bioinformatics 38 (13), 3444-3453, 2022 | 17 | 2022 |
| Gem-2: Next generation molecular property prediction network with many-body and full-range interaction modeling L Liu, D He, X Fang, S Zhang, F Wang, J He, H Wu arXiv preprint arXiv:2208.05863, 2022 | 8 | 2022 |
| Learning generative neural networks for 3d colorization Z Yang, L Liu, Q Huang Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 6 | 2018 |
| Traffic flow matching with clique and triplet cues L Liu, W Lin, YP Zhong 2015 IEEE 17th International Workshop on Multimedia Signal Processing (MMSP …, 2015 | 5 | 2015 |
| Litegem: Lite geometry enhanced molecular representation learning for quantum property prediction S Zhang, L Liu, S Gao, D He, X Fang, W Li, Z Huang, W Su, W Wang arXiv preprint arXiv:2106.14494, 2021 | 4 | 2021 |
| Extracting recurrent motion flows from crowded scene videos: A coherent motion-based approach Y Mi, L Liu, W Lin, W Wang 2015 IEEE International Conference on Multimedia Big Data, 371-376, 2015 | 4 | 2015 |
| Mbcal: Sample efficient and variance reduced reinforcement learning for recommender systems F Wang, X Fang, L Liu, H Tian, Z Peng arXiv preprint arXiv:1911.02248, 2019 | 3 | 2019 |
| GEM-2: Next Generation Molecular Property Prediction Network by Modeling Full-range Many-body Interactions L Liu, D He, X Fang, S Zhang, F Wang, J He, H Wu arXiv preprint arXiv:2208.05863, 2022 | 2 | 2022 |
| Deep Learning with Geometry-Enhanced Molecular Representation for Augmentation of Large-Scale Docking-Based Virtual Screening L Yu, X He, X Fang, L Liu, J Liu Journal of Chemical Information and Modeling 63 (21), 6501-6514, 2023 | 1 | 2023 |
| Pre-Training on Large-Scale Generated Docking Conformations with HelixDock to Unlock the Potential of Protein-ligand Structure Prediction Models L Liu, D He, X Ye, S Zhang, X Zhang, J Zhou, J Li, H Chai, F Wang, J He, ... arXiv preprint arXiv:2310.13913, 2023 | 1 | 2023 |
| HelixFold-Multimer: Elevating Protein Complex Structure Prediction to New Heights X Fang, J Gao, J Hu, L Liu, Y Xue, X Zhang, K Zhu arXiv preprint arXiv:2404.10260, 2024 | | 2024 |
| Method and apparatus for optimizing recommendation system, device and computer storage medium LIU Lihang, F Xiaomin, F Wang, HE Jingzhou US Patent 11,836,222, 2023 | | 2023 |
| Method for molecular representing D He, LIU Lihang, D Lin, F Xiaomin, F Wang, HE Jingzhou US Patent App. 18/126,887, 2023 | | 2023 |
| Method for training compound property prediction model, device and storage medium S Zhang, LIU Lihang, Y Huang, D He, F Xiaomin, X Zhang, F Wang, ... US Patent App. 17/820,688, 2022 | | 2022 |
| Method and apparatus for generating information F Xiaomin, C Yaxue, LIU Lihang, Z Lingke, F Wang, HE Jingzhou US Patent 11,412,070, 2022 | | 2022 |
