• Initialization Matters: Regularizing Manifold-informed Initialization for Neural Recommendation Systems.
    Yinan Zhang, Boyang Li, Yong Liu, Hao Wang and Chunyan Miao. In Proceedings of the 27th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD 2021). 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 (TKDE). Regular paper.


  • Learning Personalized Itemset Mapping for Cross-Domain Recommendation.
    Yinan Zhang, Yong Liu, Peng Han, Chunyan Miao, Lizhen Cui, Baoli Li and Haihong Tang. In Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI 2020). Acceptance rate: 12.6%, main track.
    [Paper] [Code] [Slides]


  • Crowd-enabled Pareto-Optimal Objects Finding Employing Multi-Pairwise-Comparison Questions.
    Chang Liu, Yinan Zhang, Lei Liu, Lizhen Cui, Dong Yuan, Chunyan Miao. In Proceedings of the 26th ACM on Conference on Information and Knowledge Management (CIKM 2017). Acceptance rate: 20%, full paper.