3.2k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of Science and Technology of ChinaCN178 papers
- Chinese Academy of SciencesCN47 papers
- Anhui UniversityCN46 papers
- National University of SingaporeSG36 papers
- Hefei National Center for Physical Sciences at NanoscaleCN29 papers
- Tsinghua UniversityCN24 papers
- Peking UniversityCN20 papers
- Zhejiang UniversityCN17 papers
- Eindhoven University of TechnologyNL16 papers
- Harbin Institute of TechnologyCN14 papers
- Soochow UniversityCN14 papers
- University of Chinese Academy of SciencesCN12 papers
4 papers · 2 filters
Explainable Fashion Recommendation: A Semantic Attribute Region Guided Approach
Min Hou, Le Wu, Enhong Chen +3
In fashion recommender systems, each product usually consists of multiple semantic attributes (e.g., sleeves, collar, etc). When making cloth decisions, people usually show prefere…
Personalized Multimedia Item and Key Frame Recommendation
Le Wu, Lei Chen, Yonghui Yang +4
When recommending or advertising items to users, an emerging trend is to present each multimedia item with a key frame image (e.g., the poster of a movie). As each multimedia item…
Neural Graph Collaborative Filtering
Xiang Wang, Xiangnan He, Meng Wang +2
Learning vector representations (aka. embeddings) of users and items lies at the core of modern recommender systems. Ranging from early matrix factorization to recently emerged dee…
A Neural Influence Diffusion Model for Social Recommendation
Le Wu, Peijie Sun, Yanjie Fu +3
Precise user and item embedding learning is the key to building a successful recommender system. Traditionally, Collaborative Filtering(CF) provides a way to learn user and item em…