XIAO Zi-Fan
Shanghai Engineering Research Center of AI & Robotics, Academy of Engineering and Technology, Fudan University, Shanghai 200433, China;Key Laboratory of Computational Neuroscience and Brain-inspired Intelligence, Ministry of Education (Fudan University), Shanghai 200433, China;Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai 200433, ChinaLIU Yi-Qun
Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science, Fudan University, Shanghai 200433, ChinaLI Chu-Xi
Micro Nano System Center, School of Information Science and Technology, Fudan University, Shanghai 200433, ChinaZHANG Li
School of Data Science, Fudan University, Shanghai 200433, ChinaWANG Shou-Yan
Shanghai Engineering Research Center of AI & Robotics, Academy of Engineering and Technology, Fudan University, Shanghai 200433, China;Key Laboratory of Computational Neuroscience and Brain-inspired Intelligence, Ministry of Education (Fudan University), Shanghai 200433, China;Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai 200433, ChinaXIAO Xiao
Key Laboratory of Computational Neuroscience and Brain-inspired Intelligence, Ministry of Education (Fudan University), Shanghai 200433, China;Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai 200433, China肖子凡,刘逸群,李楚溪,张力,王守岩,肖晓.基于时移和片组注意力融合的双流行为识别网络.计算机系统应用,2022,31(1):204-211
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