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 | 461 | 2022 |
Constgat: Contextual spatial-temporal graph attention network for travel time estimation at baidu maps X Fang, J Huang, F Wang, L Zeng, H Liang, H Wang Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 174 | 2020 |
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 | 64 | 2023 |
Personalized tag recommendation through nonlinear tensor factorization using gaussian kernel X Fang, R Pan, G Cao, X He, W Dai Proceedings of the AAAI conference on artificial intelligence 29 (1), 2015 | 58 | 2015 |
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 | 42 | 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 | 40 | 2021 |
DTSyn: a dual-transformer-based neural network to predict synergistic drug combinations J Hu, J Gao, X Fang, Z Liu, F Wang, W Huang, H Wu, G Zhao Briefings in Bioinformatics 23 (5), bbac302, 2022 | 33 | 2022 |
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 | 32 | 2022 |
Helixfold: An efficient implementation of alphafold2 using paddlepaddle G Wang, X Fang, Z Wu, Y Liu, Y Xue, Y Xiang, D Yu, F Wang, Y Ma arXiv preprint arXiv:2207.05477, 2022 | 31 | 2022 |
Sequential evaluation and generation framework for combinatorial recommender system F Wang, X Fang, L Liu, Y Chen, J Tao, Z Peng, C Jin, H Tian arXiv preprint arXiv:1902.00245, 2019 | 20 | 2019 |
Dueta: Traffic congestion propagation pattern modeling via efficient graph learning for eta prediction at baidu maps J Huang, Z Huang, X Fang, S Feng, X Chen, J Liu, H Yuan, H Wang Proceedings of the 31st ACM International Conference on Information …, 2022 | 18 | 2022 |
Multimodal pre-training model for sequence-based prediction of protein-protein interaction Y Xue, Z Liu, X Fang, F Wang Machine Learning in Computational Biology, 34-46, 2022 | 14 | 2022 |
BatchDTA: Implicit batch alignment enhances deep learning-based drug-target affinity estimation H Luo, Y Xiang, X Fang, W Lin, F Wang, H Wu, H Wang Briefings in Bioinformatics, 1-13, 2022 | 11 | 2022 |
Technical Report of HelixFold3 for Biomolecular Structure Prediction L Liu, S Zhang, Y Xue, X Ye, K Zhu, Y Li, Y Liu, W Zhao, H Yu, Z Wu, ... arXiv preprint arXiv:2408.16975, 2024 | 9 | 2024 |
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 | 7 | 2023 |
Docking-based virtual screening with multi-task learning Z Liu, X Ye, X Fang, F Wang, H Wu, H Wang 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2021 | 7 | 2021 |
Pre-training on large-scale generated docking conformations with helixdock to unlock the potential of protein-ligand structure prediction models L Liu, S Zhang, D He, X Ye, J Zhou, X Zhang, Y Jiang, W Diao, H Yin, ... arXiv preprint arXiv:2310.13913, 2023 | 6 | 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 | 5 | 2024 |
HelixMO: Sample-Efficient Molecular Optimization in Scene-Sensitive Latent Space Z Chen, X Fang, Z Hua, Y Huang, F Wang, H Wu 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2022 | 5 | 2022 |
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 | 5 | 2022 |