11 citations · 14 across the 4 of their papers we have counts for
4 papers
Bridging the Structural Gap: Adapting Autoregressive Generation for Recommendation
Junchao Zeng, Junzhang Zhu, Junyang Chen +4
Generative Recommendation (GR) has emerged as a new paradigm for sequential recommendation, in which a representative line of work encodes items into hierarchical semantic IDs via…
CUPID: Improving Battle Fairness and Position Satisfaction in Online MOBA Games with a Re-matchmaking System
Ge Fan, Chaoyun Zhang, Kai Wang +3
The multiplayer online battle arena (MOBA) genre has gained significant popularity and economic success, attracting considerable research interest within the Human-Computer Interac…
MV-HAN: A Hybrid Attentive Networks based Multi-View Learning Model for Large-scale Contents Recommendation
Ge Fan, Chaoyun Zhang, Kai Wang +1
Industrial recommender systems usually employ multi-source data to improve the recommendation quality, while effectively sharing information between different data sources remain a…
D2D-Enabled Data Sharing for Distributed Machine Learning at Wireless Network Edge
Xiaoran Cai, Xiaopeng Mo, Junyang Chen +1
Mobile edge learning is an emerging technique that enables distributed edge devices to collaborate in training shared machine learning models by exploiting their local data samples…