Shusen Wang

I obtained my bachelor's and doctoral degrees in computer science from Zhejiang University in 2011 and 2016. During my doctoral study, I was supported by "Microsoft Research Asia Fellowship" and "Baidu Scholarship", which were the highest fellowships/scholarships in China. From 2016 to 2018, I was a postdoc scholar at the Department of Statistics, UC Berkeley. From 2018 to 2021, I was a tenure-track assistant professor at the Department of Computer Science, Stevens Institute of Technology. From 2021 to 2023, I worked at Xiaohongshu (Shanghai) as an ML engineer and manager.

My expertise includes search engines, machine learning, reinforcement learning, and numerical algorithms. I also have experience in NLP and recommender systems. When I was in academia, I did research on machine learning, numerical optimization, parallel computing, etc. In the industry, I lead a team working on search ranking, search retrieval, and NLP techniques. We have launched over 10 projects that significantly improved key indicators such DAU, retention, CTR, etc. In my spare time, I published a book Deep Reinforcement Learning (in Chinese), taught an open course Industrial Recommender System (in Chinese), and wrote a book draft Search Engine (in Chinese)