| Mind: A large-scale dataset for news recommendation F Wu, Y Qiao, JH Chen, C Wu, T Qi, J Lian, D Liu, X Xie, J Gao, W Wu, ... ACL, 3597-3606, 2020 | 560 | 2020 |
| Communication-efficient federated learning via knowledge distillation C Wu, F Wu, L Lyu, Y Huang, X Xie Nature communications 13 (1), 2032, 2022 | 438 | 2022 |
| Neural news recommendation with multi-head self-attention C Wu, F Wu, S Ge, T Qi, Y Huang, X Xie EMNLP, 6389-6394, 2019 | 399 | 2019 |
| NPA: Neural news recommendation with personalized attention C Wu, F Wu, A Mingxiao, H Jianqiang, H Yongfeng, X Xing KDD, 2576-2584, 2019 | 386 | 2019 |
| Neural news recommendation with long-and short-term user representations M An, F Wu, C Wu, K Zhang, Z Liu, X Xie ACL, 336-345, 2019 | 373 | 2019 |
| Fedgnn: Federated graph neural network for privacy-preserving recommendation C Wu, F Wu, Y Cao, Y Huang, X Xie arXiv preprint arXiv:2102.04925, 2021 | 339 | 2021 |
| Neural News Recommendation with Attentive Multi-View Learning C Wu, F Wu, A Mingxiao, H Jianqiang, H Yongfeng, X Xing IJCAI, 2019 | 317 | 2019 |
| Personalized News Recommendation: Methods and Challenges C Wu, F Wu, Y Huang, X Xie TOIS, 2022 | 197* | 2022 |
| Empowering News Recommendation with Pre-trained Language Models C Wu, F Wu, T Qi, Y Huang SIGIR, 2021 | 185 | 2021 |
| Fastformer: Additive attention can be all you need C Wu, F Wu, T Qi, Y Huang, X Xie arXiv preprint arXiv:2108.09084, 2021 | 174 | 2021 |
| Fedrec: Privacy-preserving news recommendation with federated learning T Qi, F Wu, C Wu, Y Huang, X Xie EMNLP: Findings, 2020 | 172* | 2020 |
| FairRec: Fairness-aware News Recommendation with Decomposed Adversarial Learning C Wu, F Wu, T Qi, Y Huang AAAI, 2021 | 159* | 2021 |
| A Federated Graph Neural Network Framework for Privacy-Preserving Personalization Y Huang, C Wu, F Wu, L Lyu, T Qi, X Xie Nature Communications, 2022 | 153 | 2022 |
| Graph enhanced representation learning for news recommendation S Ge, C Wu, F Wu, T Qi, Y Huang WWW, 2863-2869, 2020 | 146 | 2020 |
| A hybrid unsupervised method for aspect term and opinion target extraction C Wu, F Wu, S Wu, Z Yuan, Y Huang Knowledge-Based Systems 148, 66-73, 2018 | 141 | 2018 |
| Neural Chinese named entity recognition via CNN-LSTM-CRF and joint training with word segmentation F Wu, J Liu, C Wu, Y Huang, X Xie WWW, 3342-3348, 2019 | 120 | 2019 |
| Thu_ngn at semeval-2018 task 3: Tweet irony detection with densely connected lstm and multi-task learning C Wu, F Wu, S Wu, J Liu, Z Yuan, Y Huang SemEval, 51-56, 2018 | 115 | 2018 |
| Neural metaphor detecting with CNN-LSTM model C Wu, F Wu, Y Chen, S Wu, Z Yuan, Y Huang FigLang@NAACL, 110-114, 2018 | 110 | 2018 |
| Neural news recommendation with topic-aware news representation C Wu, F Wu, M An, Y Huang, X Xie ACL, 2019 | 106 | 2019 |
| Semi-supervised dimensional sentiment analysis with variational autoencoder C Wu, F Wu, S Wu, Z Yuan, J Liu, Y Huang Knowledge-Based Systems 165, 30-39, 2019 | 97 | 2019 |
Fangzhao WuMicrosoftZweryfikowany adres z microsoft.com