Yingfeng Chen

Head of Agile Technology at NetEase and Head of Fuxi Robotics Algorithms at NetEase

Yingfeng Chen is the Head of the Fuxi Robotics Algorithm Division at NetEase and the technical lead for the construction machinery robotics business. His research focuses on robotics, reinforcement learning, and game AI. He received his Ph.D. from the University of Science and Technology of China (USTC), during which he participated in multiple RoboCup World Championships and won the world champion title in the service robot category in 2014. He was also involved in the development of the USTC “KeJia” robot series. Previously, he led reinforcement learning research at NetEase Fuxi, where he creatively applied cutting-edge reinforcement learning techniques to game AI and automated game testing, with successful deployment across several NetEase games. Currently, he is responsible for the R\&D and algorithm innovation of multiple construction machinery robots, including excavator robots and unmanned loaders. He has published over 60 papers in top AI and robotics conferences such as NeurIPS, IJCAI, AAAI, and ICRA, and received the Best Paper Award at ASE 2019. He has served as a long-term reviewer for conferences including NeurIPS, AAAI, and ICRA. He holds over 50 granted national invention patents and has been selected for the Hangzhou Young Science and Technology Talent Training Program and honored as a “Binhjiang District Outstanding Young Science and Technology Talent.”