Следене
Fangzhao Wu
Fangzhao Wu
Microsoft
Потвърден имейл адрес: microsoft.com
Заглавие
Позовавания
Позовавания
Година
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
5712020
Communication-efficient federated learning via knowledge distillation
C Wu, F Wu, L Lyu, Y Huang, X Xie
Nature Communications 13 (1), 1-8, 2022
4512022
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
3992019
NPA: Neural News Recommendation with Personalized Attention
C Wu, F Wu, M An, J Huang, Y Huang, X Xie
KDD 2019, 2576-2584, 2019
3882019
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
3722019
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
3372021
Neural News Recommendation with Attentive Multi-View Learning
C Wu, F Wu, M An, J Huang, Y Huang, X Xie
IJCAI 2019, 2019
3192019
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
2442014
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
204*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
202*2023
Empowering News Recommendation with Pre-trained Language Models
C Wu, F Wu, T Qi, Y Huang
SIGIR 2021, 2021
1892021
Fastformer: Additive attention can be all you need
C Wu, F Wu, T Qi, Y Huang, X Xie
arXiv preprint arXiv:2108.09084, 2021
1812021
Exploring Sequence-to-Sequence Learning in Aspect Term Extraction
D Ma, S Li, F Wu, X Xie, H Wang
ACL 2019, 3538-3547, 2019
1802019
Privacy-Preserving News Recommendation Model Training via Federated Learning
T Qi, F Wu, C Wu, Y Huang, X Xie
EMNLP 2020 Findings, 2020
169*2020
FairRec: Fairness-aware News Recommendation with Decomposed Adversarial Learning
C Wu, F Wu, X Wang, Y Huang, X Xie
AAAI 2021, 2021
162*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
1502022
Fine-grained Interest Matching for Neural News Recommendation
H Wang, F Wu, Z Liu, X Xie
ACL 2020, 836-845, 2020
1502020
Graph enhanced representation learning for news recommendation
S Ge, C Wu, F Wu, T Qi, Y Huang
WWW 2020, 2863-2869, 2020
1452020
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
1402018
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
1212020
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