623 citations · 1.9k across the 48 of their papers we have counts for
8 papers · 1 filter
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…
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…
DA-Transformer: Distance-aware Transformer
Chuhan Wu, Fangzhao Wu, Yongfeng Huang
Transformer has achieved great success in the NLP field by composing various advanced models like BERT and GPT. However, Transformer and its existing variants may not be optimal in…
FedCTR: Federated Native Ad CTR Prediction with Multi-Platform User Behavior Data
Chuhan Wu, Fangzhao Wu, Tao Di +2
Native ad is a popular type of online advertisement which has similar forms with the native content displayed on websites. Native ad CTR prediction is useful for improving user exp…
FairRec: Fairness-aware News Recommendation with Decomposed Adversarial Learning
Chuhan Wu, Fangzhao Wu, Xiting Wang +2
News recommendation is important for online news services. Existing news recommendation models are usually learned from users' news click behaviors. Usually the behaviors of users…
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…
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…
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…