Kai Wang

Hi, I'm Kai Wang

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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.

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Professional Experience

TikTok

Senior Machine Learning Engineer

May. 2022 - Present
TikTok

TikTok Social recommender system, ranking model owner.

Tencent

Machine Learning Researcher

Mar. 2021 - May. 2022
Tencent

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

ByteDance

Machine Learning Engineer Intern

Sept. 2020 - Nov.2020
ByteDance

Short video recommender system, watermelon video.

University of California, San Diego

Summer Research Intern & Research Assistant

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

Machine Learning Engineer Intern

Oct. 2019 - Feb.2020
Tencent

Game community recommender system

PingAn Tech

Machine Learning Research Intern

Jun. 2019 - Sept.2019
PingAn Tech

Medical deep & reinforcement learning

Education

M.S. in Electrical and Computer Engineering

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

B.E. in Aerospace Engineering

Northwestern Polytechnical University
Sept. 2014 - Jul. 2018

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.