In the past, I was currently a senior engineer in Tencent. My work spans two fields. One part is in the back-end software development of the advertising system, and the other part is focusing on recommender system for online advertising platform, especially in user interest modeling, CTR prediction. Prior to that, I worked as a software engineer at JD Inc . from July 2018 to November 2019. I designed a genetic algorithm for delivery tasks, optimizing batch allocation and routes, reducing cost and run time. Also, I developed a distributed order task system for the 11.11 festival and a custom order protocol, saving storage costs. I received a double bachelor's degree in Telecommunication Engineering / Marine Technology from Ocean University of China (OUC) in June 2018.

My past research experience includes data mining and recommendation system. But I am also very interested in Agentic Systems, Data-centric AI, and large language models(LLM). I truly believe that these will bring new opportunities and changes to the world and people, especially the residents in poor areas.

Publications

pdf	UIPN: User Intent Profiling Network for Multi Behavior Modeling in CTR Prediction Xu Yang, Guangyuan Yu, and Jun He Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining (WSDM '25), March 10--14, 2025, Hannover, Germany

Honors and Awards

2021, 2022 Tencent Open Source Award (Top open source collaboration award in Tencent, < 0.5%) 2023 Kaggle Silver Medal (Microbusiness Density Forecasting Global Competition, 4%) 2022 Tencent Excellent Code Award (Highest reward for code contribution in Tencent, < 0.1%) 2022 Tencent Code Committee Member (Top organization for code review in Tencent, < 0.5%) 2021, 2022 Tencent Outstanding Employee (Top individual award in Tencent, 5%) 2016 AEON Scholarship (Highest scholarship in university sponsored by AEON Inc., 1%) 2015 National First Prize, China Undergraduate Mathematical Contest in Modeling (CUMCM) (147/25646, 1%) 2015 OUC Student Special Prize for Scientific and Technological Achievements (< 0.1%) 2014 National Encouragement Scholarship (Highest scholarship awarded by the Chinese government, 4%)

Useful Links

AI Conference Deadlines

Tmall dataset of IJCAI 2015 Contest

Ad Click Data on Taobao

Machine Learning Reading List

Deep Learning Reading List

Last update: August 24, 2023. Webpage template borrows from Prof. Xiangnan He.