Biography
Fanglong Yao received the B.Sc. degree from Inner Mongolia University, Hohhot, China, in 2017, and the Ph.D. degree from the Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China, in 2022. He is currently a Post-Doctoral Researcher and assistant professor with the Aerospace Information Research Institute, Chinese Academy of Sciences. His research interests include cognitive intelligence, embodied intelligence, and swarm intelligence, including aerospace spatiotemporal data analysis; Multimodal fusion and reasoning; Embodied intelligence and multi-agent learning. He is the reviewer of the IEEE Transactions on Neural Networks and Learning Systems (TNNLS) and Artificial Intelligence Review. He has received Best Researcher Award of International Research Awards on Network Science and Graph Analytics (2023), Chinese Academy of Sciences President's Excellence Award (2022), National Scholarship (2021), Graduate Forum Report Excellence Award (2021).
Research Interest
Spatiotemporal data analysis and computer vision; Multimodal fusion and reasoning; Embodied intelligence and multi-agent learning
Editor
Work Details
Assistant Professor
Chinese Academy of Sciences
Aerospace Information Research Institute
China
Contribution by Topic Area
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Research Articles
- Melanocytic Nevi Classification using Transfer Learning
- Application of Virtual Reality (VR) in Facility Management Competency-based Training (CBT) in the Era of Industrie 5.0
- Designing a Compact High-precision Positioner with Large Stroke Capability for Nanoindentation Devices
- Risks and Effects of Medicinal Plants as an Adjuvant Treatment in Mental Disorders during Pregnancy
- On how Doping with Atoms of Gadolinium and Scandium affects the Surface Structure of Silicon
- Investigation and Energy Modeling of New Generation Environmentally Friendly Energy Source Thorium Fueled Molten Salt Reactors
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