Thesis

  • Feipeng Zhao. Learning Top-N Recommender Systems with Implicit Feedbacks. [pdf]

Publications

  1. Feipeng Zhao, Yuhong Guo.
    Learning Discriminative Recommendation Systems with Side Information. IJCAI 2017. [pdf]
  2. Feipeng Zhao, Yuhong Guo.
    Improving Top-N Recommendation with Heterogeneous Loss. IJCAI 2016. [pdf]
  3. Feipeng Zhao, Min Xiao, Yuhong Guo.
    Predictive Collaborative Filtering with Side Information. IJCAI 2016. [pdf]
  4. Feipeng Zhao, Yuhong Guo.
    Semi-supervised Multi-label Learning with Incomplete Labels. IJCAI 2015. [pdf]
  5. Xin Li, Feipeng Zhao, Yuhong Guo.
    Conditional Restricted Boltzmann Machines for Multi-label Learning with Incomplete Labels. AISTATS 2015. [pdf]
  6. Xin Li, Feipeng Zhao, Yuhong Guo.
    Multi-label Image Classification with A Probabilistic Label Enhancement Model. UAI 2014. [pdf]
  7. Min Xiao, Feipeng Zhao, Yuhong Guo.
    Learning Latent Word Representations for Domain Adaption using Supervised Word Clustering. EMNLP 2013. [pdf]