| Recent trends in deep learning based open-domain textual question answering systems Z Huang, S Xu, M Hu, X Wang, J Qiu, Y Fu, Y Zhao, Y Peng, C Wang IEEE Access 8, 94341-94356, 2020 | 74 | 2020 |
| A network-embedding based method for author disambiguation J Xu, S Shen, D Li, Y Fu Proceedings of the 27th ACM international conference on information and …, 2018 | 37 | 2018 |
| A general scalable and accurate decentralized level monitoring method for large-scale dynamic service provision in hybrid clouds Y Fu, Y Wang, E Biersack Future Generation Computer Systems 29 (5), 1235-1253, 2013 | 19 | 2013 |
| CGNN: traffic classification with graph neural network B Pang, Y Fu, S Ren, Y Wang, Q Liao, Y Jia arXiv preprint arXiv:2110.09726, 2021 | 15 | 2021 |
| Clustering-preserving network flow sketching Y Fu, D Li, S Shen, Y Zhang, K Chen IEEE INFOCOM 2020-IEEE Conference on Computer Communications, 1309-1318, 2020 | 14 | 2020 |
| HybridNN: An accurate and scalable network location service based on the inframetric model F Yongquan, Y Wang, E Biersack Future Generation Computer Systems, 2012 | 13* | 2012 |
| Resq: A residual q function-based approach for multi-agent reinforcement learning value factorization S Shen, M Qiu, J Liu, W Liu, Y Fu, X Liu, C Wang Advances in Neural Information Processing Systems 35, 5471-5483, 2022 | 11 | 2022 |
| Self-stabilized distributed network distance prediction Y Fu, X Xiaoping IEEE/ACM Transactions On Networking 25 (1), 451-464, 2016 | 11 | 2016 |
| BCE: A privacy-preserving common-friend estimation method for distributed online social networks without cryptography Y Fu, Y Wang 7th International Conference on Communications and Networking in China, 212-217, 2012 | 11 | 2012 |
| Graphcomm: A graph neural network based method for multi-agent reinforcement learning S Shen, Y Fu, H Su, H Pan, P Qiao, Y Dou, C Wang ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 9 | 2021 |
| Diting: An author disambiguation method based on network representation learning L Peng, S Shen, J Xu, Y Fu, D Li, AL Jia IEEE Access 7, 135539-135555, 2019 | 8 | 2019 |
| A multi-modal approach for context-aware network traffic classification B Pang, Y Fu, S Ren, S Shen, Y Wang, Q Liao, Y Jia ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 6 | 2023 |
| A skewness-aware matrix factorization approach for mesh-structured cloud services Y Fu, D Li, P Barlet-Ros, C Huang, Z Huang, S Shen, H Su IEEE/ACM Transactions on Networking 27 (4), 1598-1611, 2019 | 6 | 2019 |
| Author disambiguation through adversarial network representation learning L Peng, S Shen, D Li, J Xu, Y Fu, H Su 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 6 | 2019 |
| User donations in a user generated video system A Lu Jia, X Shen, S Shen, Y Fu, L Peng Companion proceedings of the 2019 world wide web conference, 1055-1062, 2019 | 6 | 2019 |
| Hyperspring: Accurate and stable latency estimation in the hyperbolic space Y Fu, Y Wang 2009 15th International Conference on Parallel and Distributed Systems, 864-869, 2009 | 6 | 2009 |
| A discrete data dividing approach for erasure-code-based storage applications W Sun, Y Wang, Y Fu, X Pei 2014 IEEE 8th International Symposium on Service Oriented System Engineering …, 2014 | 5 | 2014 |
| Compressed collective sparse-sketch for distributed data-parallel training of deep learning models K Ge, K Lu, Y Fu, X Deng, Z Lai, D Li IEEE Journal on Selected Areas in Communications 41 (4), 941-963, 2023 | 4 | 2023 |
| S2 reducer: High-performance sparse communication to accelerate distributed deep learning K Ge, Y Fu, Y Zhang, Z Lai, X Deng, D Li ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 4 | 2022 |
| Development strategy for the core software and hardware of artificial intelligence in China L Gao, Y Fu, D Li, X Liao Strategic Study of Chinese Academy of Engineering 23 (3), 90-97, 2021 | 4 | 2021 |
Siqi ShenXiamen University在 xmu.edu.cn 的电子邮件经过验证
