This page lists some machine learning related research conducted by Kan Ren and his collaborators at ShanghaiTech University and Microsoft Research. The research topics cover spatial-temporal data mining, sequential decision making with reinforcement learning, machine learning algorithms such as meta-learning and ensemble learning, etc. These researches have been transferring to or conducted in real-world application scenarios such as healthcare and finance. Some researches are open-sourced via Qlib, AutoRL and SeqML.
I'm now looking for prospective PhD/Master students and student interns working together on spatial-temporal data mining, forecasting, anomaly detection, representation learning and multi-modal machine learning at ShanghaiTech University. Please contact renkan[-AT-]shanghaitech.edu.cn if you have interests.