| 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 2020, 3597-3606, 2020 | 580 | 2020 |
| Communication-efficient federated learning via knowledge distillation C Wu, F Wu, L Lyu, Y Huang, X Xie Nature Communications 13 (1), 1-8, 2022 | 477 | 2022 |
| Neural news recommendation with multi-head self-attention C Wu, F Wu, S Ge, T Qi, Y Huang, X Xie EMNLP 2019, 6389-6394, 2019 | 404 | 2019 |
| NPA: Neural News Recommendation with Personalized Attention C Wu, F Wu, M An, J Huang, Y Huang, X Xie KDD 2019, 2576-2584, 2019 | 391 | 2019 |
| Neural News Recommendation with Long-and Short-term User Representations M An, F Wu, C Wu, K Zhang, Z Liu, X Xie ACL 2019, 2019 | 375 | 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 | 343 | 2021 |
| Neural News Recommendation with Attentive Multi-View Learning C Wu, F Wu, M An, J Huang, Y Huang, X Xie IJCAI 2019, 2019 | 320 | 2019 |
| Opinionflow: Visual analysis of opinion diffusion on social media Y Wu, S Liu, K Yan, M Liu, F Wu IEEE transactions on visualization and computer graphics 20 (12), 1763-1772, 2014 | 244 | 2014 |
| Defending chatgpt against jailbreak attack via self-reminders Y Xie, J Yi, J Shao, J Curl, L Lyu, Q Chen, X Xie, F Wu Nature Machine Intelligence 5 (12), 1486-1496, 2023 | 221* | 2023 |
| Personalized news recommendation: Methods and challenges C Wu, F Wu, Y Huang, X Xie ACM Transactions on Information Systems 41 (1), 1-50, 2023 | 209* | 2023 |
| Empowering News Recommendation with Pre-trained Language Models C Wu, F Wu, T Qi, Y Huang SIGIR 2021, 2021 | 191 | 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 | 187 | 2021 |
| Exploring Sequence-to-Sequence Learning in Aspect Term Extraction D Ma, S Li, F Wu, X Xie, H Wang ACL 2019, 3538-3547, 2019 | 184 | 2019 |
| Privacy-Preserving News Recommendation Model Training via Federated Learning T Qi, F Wu, C Wu, Y Huang, X Xie EMNLP 2020 Findings, 2020 | 170* | 2020 |
| FairRec: Fairness-aware News Recommendation with Decomposed Adversarial Learning C Wu, F Wu, X Wang, Y Huang, X Xie AAAI 2021, 2021 | 163* | 2021 |
| A federated graph neural network framework for privacy-preserving personalization C Wu, F Wu, L Lyu, T Qi, Y Huang, X Xie Nature Communications 13 (1), 3091, 2022 | 159 | 2022 |
| Fine-grained Interest Matching for Neural News Recommendation H Wang, F Wu, Z Liu, X Xie ACL 2020, 836-845, 2020 | 151 | 2020 |
| Graph enhanced representation learning for news recommendation S Ge, C Wu, F Wu, T Qi, Y Huang WWW 2020, 2863-2869, 2020 | 145 | 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 | 140 | 2018 |
| Hybrid neural recommendation with joint deep representation learning of ratings and reviews H Liu, Y Wang, Q Peng, F Wu, L Gan, L Pan, P Jiao Neurocomputing 374, 77-85, 2020 | 122 | 2020 |
Chuhan WuWeChat AI, TencentVerified email at tencent.com
