activity
20202023
most citedFedGNN: Federated Graph Neural Network for Privacy-Preserving Recommendation

305 citations · 741 across the 44 of their papers we have counts for

collaborators
Showing 2020Show all

5 papers · 1 filter

cs.CL2020★ 5 cited

Improving Attention Mechanism with Query-Value Interaction

Chuhan Wu, Fangzhao Wu, Tao Qi +1

Attention mechanism has played critical roles in various state-of-the-art NLP models such as Transformer and BERT. It can be formulated as a ternary function that maps the input qu…

cs.IR2020★ 10 cited

PTUM: Pre-training User Model from Unlabeled User Behaviors via Self-supervision

Chuhan Wu, Fangzhao Wu, Tao Qi +3

User modeling is critical for many personalized web services. Many existing methods model users based on their behaviors and the labeled data of target tasks. However, these method…

cs.IR2020★ 141 cited

Graph Enhanced Representation Learning for News Recommendation

Suyu Ge, Chuhan Wu, Fangzhao Wu +2

With the explosion of online news, personalized news recommendation becomes increasingly important for online news platforms to help their users find interesting information. Exist…

cs.CL2020★ 46 cited

FedNER: Privacy-preserving Medical Named Entity Recognition with Federated Learning

Suyu Ge, Fangzhao Wu, Chuhan Wu +3

Medical named entity recognition (NER) has wide applications in intelligent healthcare. Sufficient labeled data is critical for training accurate medical NER model. However, the la…

cs.IR2020★ 11 cited

Privacy-Preserving News Recommendation Model Learning

Tao Qi, Fangzhao Wu, Chuhan Wu +2

News recommendation aims to display news articles to users based on their personal interest. Existing news recommendation methods rely on centralized storage of user behavior data…