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]