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
IgMin 科目を探索する
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研究論文
- Improved Energy Valley Optimizer with Levy Flight for Optimization Problems
- The Examination of Game Skills of Children Aged 5-6 Years Participating in Movement Education
- Integrated Multi-fidelity Structural Optimization for UAV Wings
- Efficacy of Alternative Insecticides against Dusky Cotton Bug (Oxycarenus laetus) to Improve Yield Losses in Cotton Crops through Residue-based Bioassay
- Deep Learning-based Multi-class Three-dimensional (3-D) Object Classification using Phase-only Digital Holographic Information
- Assessing Bee (Hymenoptera, Apoidea, Anthophila) Diversity and Floral Preference in Two Habitats in the Iberian Peninsula
