Zhaoyue Cheng

Senior Machine Learning Scientist @Layer6 AI

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I’m currently a Senior Machine Learning Scientist at Layer6 AI, I obtained my Master and Bachelor’s degree in Computer Science at the Univeristy of Toronto.

I mainly work on end to end applied use cases as well as research in fields of Recommendation Systems, Natural Language Processing and Information Retrieval.

news

Jan 13, 2022 Our paper MCL: Mixed-Centric Loss for Collaborative Filtering is accepted to The Web Conference (WWW) 2022

selected publications

  1. WWW
    MCL: Mixed-Centric Loss for Collaborative Filtering
    Gao, Zhaolin*, Cheng, Zhaoyue*, Perez, Felipe, Sun, Jianing, and Volkovs, Maksims
    In Proceedings of the Web Conference (WWW) 2022
  2. WWW
    HGCF: Hyperbolic Graph Convolution Networks for Collaborative Filtering
    Sun, Jianing*, Cheng, Zhaoyue*, Zuberi, Saba, Perez, Felipe, and Volkovs, Maksims
    In Proceedings of the Web Conference (WWW) 2021
  3. ICDE
    Efficient Construction of Nonlinear Models over Normalized Data
    Cheng, Zhaoyue, Koudas, Nick, Zhang, Zhe, and Yu, Xiaohui
    In 2021 IEEE 37th International Conference on Data Engineering (ICDE) 2021
  4. RecSys
    TAFA: two-headed attention fused autoencoder for context-aware recommendations
    Zhou, Jin Peng*, Cheng, Zhaoyue*, Perez, Felipe, and Volkovs, Maksims
    In Fourteenth ACM Conference on Recommender Systems (RecSys) 2020
  5. ICDE
    Nonlinear models over normalized data
    Cheng, Zhaoyue, and Koudas, Nick
    In 2019 IEEE 35th International Conference on Data Engineering (ICDE) 2019