| 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 | 329 | 2020 |
| NPA: Neural news recommendation with personalized attention C Wu, F Wu, A Mingxiao, H Jianqiang, H Yongfeng, X Xing KDD, 2576-2584, 2019 | 282 | 2019 |
| Neural news recommendation with multi-head self-attention C Wu, F Wu, S Ge, T Qi, Y Huang, X Xie EMNLP, 6389-6394, 2019 | 259 | 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 | 251 | 2019 |
| Neural News Recommendation with Attentive Multi-View Learning C Wu, F Wu, A Mingxiao, H Jianqiang, H Yongfeng, X Xing IJCAI, 2019 | 224 | 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 | 197 | 2021 |
| Communication-efficient federated learning via knowledge distillation C Wu, F Wu, L Lyu, Y Huang, X Xie Nature communications 13 (1), 2032, 2022 | 165 | 2022 |
| Fedrec: Privacy-preserving news recommendation with federated learning T Qi, F Wu, C Wu, Y Huang, X Xie EMNLP: Findings, 2020 | 117* | 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 | 117 | 2018 |
| Graph enhanced representation learning for news recommendation S Ge, C Wu, F Wu, T Qi, Y Huang WWW, 2863-2869, 2020 | 109 | 2020 |
| Fastformer: Additive attention can be all you need C Wu, F Wu, T Qi, Y Huang, X Xie arXiv preprint arXiv:2108.09084, 2021 | 101 | 2021 |
| Empowering News Recommendation with Pre-trained Language Models C Wu, F Wu, T Qi, Y Huang SIGIR, 2021 | 101 | 2021 |
| 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 | 99 | 2019 |
| FairRec: Fairness-aware News Recommendation with Decomposed Adversarial Learning C Wu, F Wu, T Qi, Y Huang AAAI, 2021 | 97* | 2021 |
| Neural metaphor detecting with CNN-LSTM model C Wu, F Wu, Y Chen, S Wu, Z Yuan, Y Huang FigLang@NAACL, 110-114, 2018 | 97 | 2018 |
| 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 | 89 | 2018 |
| Neural news recommendation with topic-aware news representation C Wu, F Wu, M An, Y Huang, X Xie ACL, 2019 | 80 | 2019 |
| Personalized News Recommendation: Methods and Challenges C Wu, F Wu, Y Huang, X Xie TOIS, 2022 | 76* | 2022 |
| 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 | 72 | 2019 |
| Personalized News Recommendation with Knowledge-aware Interactive Matching T Qi, F Wu, C Wu, Y Huang SIGIR, 2021 | 63 | 2021 |
Fangzhao WuMicrosoftVerified email at microsoft.com
