Scholar

Yingfeng Chen(陈赢峰)

Google Scholar ID: SSBrkpMAAAAJ

Fuxi AI Lab in Netease

Reinforcement learningGame AIRobotic

Citations & Impact

All-time

Citations

2,064

H-index

i10-index

Publications

Co-authors

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Publications

20 items

Browse publications on Google Scholar (top-right) ↗

Resume (English only)

Academic Achievements

Published multiple papers, including 'An Empirical Study of GUI Widget Detection for Industrial Mobile Games' (FSE 2021), 'GLIB: Towards Automated Test Oracle for Graphically-Rich Applications' (FSE 2021), 'MetaCURE: Meta Reinforcement Learning with Empowerment-Driven Exploration' (ICML 2021). Team 'Salty Fish' won the second prize in the Football Competition hosted by Google Research and Manchester City F.C. among 1138 teams.

Research Experience

Leading the reinforcement learning research at Fuxi AI Lab@Netease, with a focus on deep reinforcement learning and its applications in Game AI.

Education

Ph.D. from Robotics Lab, University of Science and Technology of China (USTC), 2012.9-2017.7, Supervisor: Prof. Xiaoping Chen; B.E. from School of Computer Science, China University of Petroleum (UPC), 2008.9-2012.7.

Background

Currently leading the robotic algorithm department at Fuxi Robotic in Netease, focusing on deep reinforcement learning and Game AI. Research interests include high-efficient, transferable, explainable deep reinforcement learning, distributed reinforcement learning framework, multi-agent learning, imitation learning, and population-based reinforcement learning.

Miscellany