publications

2022

  1. WWW
    MCL: Mixed-Centric Loss for Collaborative Filtering
    Zhaolin* Gao, Zhaoyue* Cheng, Felipe Perez, and 2 more authors
    In Proceedings of the Web Conference (WWW), 2022
    PDF Code
    7 Google Scholar citations
  2. RecSys Challenge
    Session-based Recommendation with Transformers
    Yichao Lu, Zhaolin* Gao, Zhaoyue* Cheng, and 6 more authors
    In Proceedings of the Recommender Systems Challenge 2022, 2022
    PDF
    11 Google Scholar citations

2021

  1. WWW
    HGCF: Hyperbolic Graph Convolution Networks for Collaborative Filtering
    Jianing* Sun, Zhaoyue* Cheng, Saba Zuberi, and 2 more authors
    In Proceedings of the Web Conference (WWW), 2021
    PDF Code
    120 Google Scholar citations
  2. ICDE
    Efficient Construction of Nonlinear Models over Normalized Data
    Zhaoyue Cheng, Nick Koudas, Zhe Zhang, and 1 more author
    In 2021 IEEE 37th International Conference on Data Engineering (ICDE), 2021
    PDF
    3 Google Scholar citations
  3. RecSys Challenge
    User Engagement Modeling with Deep Learning and Language Models
    Maksims Volkovs, Felipe* Perez, Zhaoyue* Cheng, and 5 more authors
    In Proceedings of the ACM Recommender Systems Challenge (RecSys), 2021
    PDF Slides
    4 Google Scholar citations

2020

  1. RecSys
    TAFA: two-headed attention fused autoencoder for context-aware recommendations
    Jin Peng* Zhou, Zhaoyue* Cheng, Felipe Perez, and 1 more author
    In Fourteenth ACM Conference on Recommender Systems (RecSys), 2020
    PDF Code
    31 Google Scholar citations
  2. RecSys Challenge
    Predicting Twitter Engagement With Deep Language Models
    Maksims Volkovs, Zhaoyue Cheng, Mathieu Ravaut, and 8 more authors
    In Proceedings of the ACM Recommender Systems Challenge (RecSys), 2020
    PDF
    7 Google Scholar citations

2019

  1. ICDE
    Nonlinear models over normalized data
    Zhaoyue Cheng, and Nick Koudas
    In 2019 IEEE 35th International Conference on Data Engineering (ICDE), 2019
    PDF
    12 Google Scholar citations
  2. RecSys Challenge
    Robust contextual models for in-session personalization
    Maksims Volkovs, Anson Wong, Zhaoyue Cheng, and 3 more authors
    In Proceedings of the ACM Recommender Systems Challenge (RecSys), 2019
    PDF Code
    10 Google Scholar citations

2018

  1. RecSys Challenge
    Two-stage model for automatic playlist continuation at scale
    Maksims Volkovs, Himanshu Rai, Zhaoyue Cheng, and 3 more authors
    In Proceedings of the ACM Recommender Systems Challenge (RecSys), 2018
    PDF Code
    52 Google Scholar citations