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Kai Wang

A week learner in the process of boosting

Personal Interests

About Me

Hi, there! I am currently a senior machine learning engineer at TikTok. Ex @ Tencent Game, Lightspeed & Quantum Studios Group. Prior to this, I obtained my M.S. degree from UC San Diego, advised by Prof. Pengtao Xie and Prof. Julian McAuley, and my B.E. degree from Northwestern Polytechnical University(NPU), respectively.

My research interest includes Applied Machine Learning in recommender system and game industry. Please feel free to find my resume here.

Professional Experiences

Senior Machine Learning Engineer

May. 2022 - Present
TikTok

TikTok Social recommender system, ranking model owner.

Machine Learning Researcher

Mar. 2021 - May. 2022
Tencent

League of Legend - Wild Rift & CN, matching system and skill-level prediction.

Machine Learning Engineer Intern

Sept. 2020 - Nov.2020
ByteDance

Short video recommender system, watermelon video.

Summer Research Intern & Research Assistant

Mar. 2020 - Aug.2020
University of California, San Diego

Machine Learning Engineer Intern

Oct. 2019 - Feb.2020
Tencent

Game community recommender system

Machine Learning Research Intern

Jun. 2019 - Sept.2019
PingAn Tech

Medical deep & reinforcement learning

Education

M.S. in Electrical and Computer Engineering

Sept. 2018 - Dec. 2020
University of California San Diego

B.E. in Aerospace Engineering

Sept. 2014 - Jul. 2018
Northwestern Polytechnical University

Publications

  • CUPID: Improving Battle Fairness and Position Satisfaction in Online MOBA Games with a Re-matchmaking System

    • Ge Fan, Chaoyun Zhang, Kai Wang, Yingjie Li, Junyang Chen, Zenglin Xu

    CSCW2024 [paper]

    Matching systems in Game Industry, applied in a popular MOBA game.
  • QuickSkill Novice Skill Estimation in Online Multiplayer Games

    • Kai Wang, Chaoyun Zhang, Hao Chen, Ge Fan, Yingjie Li, Lifang Wu, Bingchao Zheng

    CIKM2022 [paper]

    A novel ML method in Game Industry, applied in a popular MOBA game.
  • MV-HAN A Hybrid Attentive Networks based Multi-View Learning Model for Large-scale Contents Recommendation

    • Ge Fan, Chaoyun Zhang, Kai Wang, Junyang Chen

    ASE2022 [paper]

    Applied in Tencent Recommender Systems.
  • AdnFM -- An Attentive DenseNet based Factorization Machine for CTR Prediction

    • Kai Wang, Chunxu Shen, Chaoyun Zhang, Wenye Ma

    ICCDE2022 [paper]

    A new model for CTR prediction.