Di Zhang is an associate professor at School of AI and Advanced Computing, XJTLU. He acquired a Ph.D. in CS from Communication University of China in 2018. He has 15+ years of working experience at Chinese Academy of Sciences, Nokia Research Institute, Noahs Ark Lab Huawei, etc. He has rich experience in AI research and applications, including bayesian network, time series analysis, reinforcement learning, transfer learning, data mining, etc. His current research includes some interesting topics in deep reinforcement learning, including: 1) automated trading, model discovery, and derivatives design in financial markets; 2) general game playing based on transfer learning, applying geometric deep learning in game playing; 3) Differentiable programming, and easy-to-use, high-performance algorithm libraries.