Fanglong Yao 編集者 at IgMin Research
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バイオグラフィー
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).
研究の興味
Spatiotemporal data analysis and computer vision; Multimodal fusion and reasoning; Embodied intelligence and multi-agent learning
Editor
仕事内容
Assistant Professor
Chinese Academy of Sciences
Aerospace Information Research Institute
China
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研究論文
- The Antioxidant and Antidepressant Properties of Dietary Proteins Derived from Egg and Bean Extracts and Their Acute Toxicity: A Journey from Nutrition to Pharmacognosy
- Screening for Sexually Transmitted Infections in Adolescents with Genitourinary Complaints: Is There a Still Role for Endocervical Gram Stains?
- The Influence of Low Pesticide Doses on Fusarium Molds
- Technical & Economic Feasibility Study of Proposed Pump Storage Power Plants at Kuda Oya, Mul Oya, Gurugal Oya, and Dambagasthalawa
- Methodology of the Professional-Business Game for the Development of a Cadet Leader in Professional Training Courses (L-1B) of the Tactical Level of Military Education
- Efficacy of Different Concentrations of Insect Growth Regulators (IGRs) on Maize Stem Borer Infestation
