Distinguished Research Fellow/Associate Professor
Jie Chen, PhD, is a (overseas) doctoral supervisor, an emerging graduate supervisor, and a Category C high-level overseas talent. He received his PhD from the Artificial Intelligence Laboratory, Department of Computer Science, National University of Singapore (NUS) in 2013, and was awarded the Dean's Graduate Award. From 2013 to 2018, he conducted postdoctoral research at the SMART Research Center in Singapore, Massachusetts Institute of Technology. From 2018 to 2021, he was a full-time associate research fellow at the School of Computer Science and Software Engineering, Shenzhen University. His main research areas are data-efficient learning (distributed learning, active learning) and trustworthy machine learning (interpretability, privacy protection, and robustness), AI for Science research including synthetic biological intelligent trial and error, quantum computing and quantum learning, and the real-world application of machine learning algorithms, such as large-scale environmental perception, multi-robot systems, and medical assisted diagnosis. Research findings have been published in a series of important international conferences in the field, such as AAAI, UAI, RSS, AAMAS, and CVPR, as well as top international journals such as TDSC, TCYB, TASE, IoTJ, and JBHI. He has long served as a program committee member for academic conferences such as AAAI/IJCAI/ICML, ICRA/RSS/CoRL/IROS, CVPR/ICCV/ECCV, etc. Currently, he is leading one National Natural Science Foundation of China (NSFC) general project, one sub-project of a key R&D project of the Ministry of Science and Technology of China, two Shenzhen Basic Research (general) projects, and one Shenzhen University High-level Talent Research Start-up Project. He received the "Outstanding Instructor Award" at the 3rd China Postgraduate Artificial Intelligence Innovation Competition and the "Outstanding Instructor" title at the 2022 RoboCom Robot Developer Competition. As a participant, his project "Key Technologies and Applications of a Multidimensional Health Data Intelligent Platform Based on the Internet of Things" won the Wu Wenjun Artificial Intelligence Science and Technology Progress First Prize from the Chinese Society for Artificial Intelligence.