- GreenRec: A Large-Scale Dataset for Green Food Recommendation..
Lingzi Zhang*, Yinan Zhang*, Xin Zhou and Zhiqi Shen.
In WWW’23. Short paper track.
[Paper] - Enabling Patient-side Disease Prediction via the Integration of Patient Narratives.
Zhixiang Su, Yinan Zhang, Jiazheng Jing, Jie Xiao and Zhiqi Shen.
In WWW’23. Short paper track.
[Paper] - Capturing Popularity Trends: A Simplistic Non-Personalized Approach for Enhanced Item Recommendation.
Jiazheng Jing*, Yinan Zhang*, Xin Zhou and Zhiqi Shen.
In CIKM’23. Acceptance rate: 24%, main track.
[Paper] - Minimalist and High-performance Conversational Recommendation with Uncertainty Estimation for User Preference.
Yinan Zhang, Boyang Li, Yong Liu, Yuan You and Chunyan Miao.
In WSDM 2023 Workshop on Interactive Recommender Systems.
[Paper] - Initialization Matters: Regularizing Manifold-informed Initialization for Neural Recommendation Systems.
Yinan Zhang, Boyang Li, Yong Liu, Hao Wang and Chunyan Miao.
In KDD’21. Acceptance rate: 15.4%, research track.
[Paper] [Code] [Video] - Learning Hierarchical Review Graph Representations for Recommendation.
Yong Liu, Susen Yang, Yinan Zhang, Chunyan Miao, Zaiqing Nie and Juyong Zhang.
In IEEE Transactions on Knowledge and Data Engineering. Regular paper.
[Paper] - Crowd-enabled Pareto-Optimal Objects Finding Employing Multi-Pairwise-Comparison Questions.
Chang Liu, Yinan Zhang, Lei Liu, Lizhen Cui, Dong Yuan, Chunyan Miao.
In CIKM’17. Acceptance rate: 20%, full paper.
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