As a multidisciplinary researcher, Jingmin's principal research interest lies in applying machine learning methods to marketing, business intelligence. His past work has primarily focused on applying deep learning methodologies, especially deep generative models, to improve various product exterior design — spanning design generation, evaluative techniques, and market profit forecasting. Beyond the above points, Jingmin is also interested in additional research areas, including agent-based modelling and neural-inspired computing.
