publications

2022

  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
    PDF Code
  2. RecSys Challenge
    Session-based Recommendation with Transformers
    Lu, Yichao, Gao, Zhaolin*, Cheng, Zhaoyue*, Sun, Jianing*, Brown, Bradley, Yu, Guangwei, Wong, Anson, Pérez, Felipe, and Volkovs, Maksims
    2022
    PDF

2021

  1. 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
    PDF Code
  2. 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
    PDF
  3. RecSys Challenge
    User Engagement Modeling with Deep Learning and Language Models
    Volkovs, Maksims, Perez, Felipe*, Cheng, Zhaoyue*, Sun, Jianing*, Norouzi, Sajad*, Wong, Anson*, Jankiewicz, Pawel, and Rho, Barum
    In Proceedings of the ACM Recommender Systems Challenge (RecSys) 2021
    PDF Slides

2020

  1. 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
    PDF Code
  2. RecSys Challenge
    Predicting Twitter Engagement With Deep Language Models
    Volkovs, Maksims, Cheng, Zhaoyue, Ravaut, Mathieu, Yang, Hojin, Shen, Kevin, Zhou, Jin Peng, Wong, Anson, Zuberi, Saba, Zhang, Ivan, Frosst, Nick, and others,
    In Proceedings of the ACM Recommender Systems Challenge (RecSys) 2020
    PDF

2019

  1. ICDE
    Nonlinear models over normalized data
    Cheng, Zhaoyue, and Koudas, Nick
    In 2019 IEEE 35th International Conference on Data Engineering (ICDE) 2019
    PDF
  2. RecSys Challenge
    Robust contextual models for in-session personalization
    Volkovs, Maksims, Wong, Anson, Cheng, Zhaoyue, Perez, Felipe, Stanevich, Ilya, and Lu, Yichao
    In Proceedings of the ACM Recommender Systems Challenge (RecSys) 2019
    PDF Code

2018

  1. RecSys Challenge
    Two-stage model for automatic playlist continuation at scale
    Volkovs, Maksims, Rai, Himanshu, Cheng, Zhaoyue, Wu, Ga, Lu, Yichao, and Sanner, Scott
    In Proceedings of the ACM Recommender Systems Challenge (RecSys) 2018
    PDF Code