| 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 | 287 | 2022 |
| PLATO: Pre-trained dialogue generation model with discrete latent variable S Bao, H He, F Wang, H Wu, H Wang arXiv preprint arXiv:1910.07931, 2019 | 260 | 2019 |
| Learning to Select Knowledge for Response Generation in Dialog Systems R Lian, M Xie, F Wang, J Peng, H Wu | 209 | 2019 |
| Structure-aware interactive graph neural networks for the prediction of protein-ligand binding affinity S Li, J Zhou, T Xu, L Huang, F Wang, H Xiong, W Huang, D Dou, H Xiong Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021 | 139 | 2021 |
| 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 | 139 | 2020 |
| Plato-2: Towards building an open-domain chatbot via curriculum learning S Bao, H He, F Wang, H Wu, H Wang, W Wu, Z Guo, Z Liu, X Xu arXiv preprint arXiv:2006.16779, 2020 | 135 | 2020 |
| Intelligent electric vehicle charging recommendation based on multi-agent reinforcement learning W Zhang, H Liu, F Wang, T Xu, H Xin, D Dou, H Xiong Proceedings of the Web Conference 2021, 1856-1867, 2021 | 70 | 2021 |
| Plato-xl: Exploring the large-scale pre-training of dialogue generation S Bao, H He, F Wang, H Wu, H Wang, W Wu, Z Wu, Z Guo, H Lu, X Huang, ... arXiv preprint arXiv:2109.09519, 2021 | 59 | 2021 |
| Method and system for training unmanned aerial vehicle control model based on artificial intelligence B Zhou, F Wang US Patent 11,150,655, 2021 | 49 | 2021 |
| Artificial intelligence for prosthetics: Challenge solutions Ł Kidziński, C Ong, SP Mohanty, J Hicks, S Carroll, B Zhou, H Zeng, ... The NeurIPS'18 Competition: From Machine Learning to Intelligent …, 2020 | 46 | 2020 |
| A real-time human imitation system F Wang, C Tang, Y Ou, Y Xu Proceedings of the 10th World Congress on Intelligent Control and Automation …, 2012 | 45 | 2012 |
| Structure-aware protein self-supervised learning C Chen, J Zhou, F Wang, X Liu, D Dou Bioinformatics 39 (4), btad189, 2023 | 43 | 2023 |
| 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 | 40 | 2022 |
| Reinforcement learning with evolutionary trajectory generator: A general approach for quadrupedal locomotion H Shi, B Zhou, H Zeng, F Wang, Y Dong, J Li, K Wang, H Tian, MQH Meng IEEE Robotics and Automation Letters 7 (2), 3085-3092, 2022 | 40 | 2022 |
| Learning to select external knowledge with multi-scale negative sampling H He, H Lu, S Bao, F Wang, H Wu, ZY Niu, H Wang IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2023 | 33 | 2023 |
| Generating Multiple Diverse Responses with Multi-Mapping and Posterior Mapping Selection C Chen, J Peng, F Wang, J Xu, H Wu arXiv preprint arXiv:1906.01781, 2019 | 33 | 2019 |
| Intervention Aided Reinforcement Learning for Safe and Practical Policy Optimization in Navigation F Wang, B Zhou, K Chen, T Fan, X Zhang, J Li, H Tian, J Pan Conference on Robot Learning, pp. 410-421, 2018 | 33 | 2018 |
| 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 | 31 | 2021 |
| Amendable generation for dialogue state tracking X Tian, L Huang, Y Lin, S Bao, H He, Y Yang, H Wu, F Wang, S Sun arXiv preprint arXiv:2110.15659, 2021 | 27 | 2021 |
| 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 | 26 | 2023 |
