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李泊

Associate Professor Supervisor of Master's Candidates

School/Department: COLLEGE OF SMART AGRICULTURE (College of Artificial Intelligence)
Education Level:With Certificate of Graduation for Doctorate Study
Degree:Doctoral Degree in Engineering
Professional Title:Associate Professor
Alma Mater:中国科学院自动化研究所

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Educational Experience scientific research awards

2009.9~2014.7
中国科学院自动化研究所控制理论与控制工程 With Certificate of Graduation for Doctorate Study Doctoral Degree in Engineering
2005.9~2009.9
东南大学自动化 University graduated Bachelor's Degree in Engineering

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Work Experience

2020.7~Now
南京农业大学人工智能学院教师
2014.8~2020.6
南京农业大学工学院教师

Social Affiliations

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Research Focus

智能化畜禽健康养殖、计算机视觉与智能算法

Paper Publications Patents Published Books

1
Luo Yan, Gu Xingjian, Li Bo, Liu Longshen, Liu Dong, Norton Tomas, Sun Congcong, Lu Mingzhou.Visual behavior understanding for smart livestock management: A survey from spatial perception to temporal reasoning,EXPERT SYSTEMS WITH APPLICATIONS,2027,333:-(Participating authors)
2
Chen Cheng,Li Bo.A Transform module to enhance lightweight attention by expanding receptive field,EXPERT SYSTEMS WITH APPLICATIONS,2024,248:-(Correspondence Author)
3
李泊,陈天明,朱佳颖.改进AVSlowFast音视频融合模型对哺乳期母猪关键行为的识别,农业工程学报,2024,40(2024年07期):182-190(First and corresponding author)
4
Chen Cheng,Li Bo.An Interpretable Channelwise Attention Mechanism based on Asymmetric and Skewed Gaussian Distribution,PATTERN RECOGNITION,2023,139(Co author and corresponding author)
5
Li Bo,Xu Weijie,Chen Tianming,Cheng Jinhua,Shen Mingxia.Recognition of fine-grained sow nursing behavior based on the SlowFast and hidden Markov models,COMPUTERS AND ELECTRONICS IN AGRICULTURE,2023,210(First and corresponding author)
6
Liu Longshen,Shu Cuini,Li Bo,Shen Mingxia,Tai Meng,Liu Kang.Recognition of Perinatal Sows' Posture Based on EfficientDet Algorithm,Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery,2022,53(4):271-279(Participating authors)

1
【Patent】一种利用外阴生理时序表征与原型校正的母猪分娩预测方法，
2
【Patent】李泊,陈诚，一种基于航空图片的输电线识别方法，ZL201911010923.4，2023

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Research Group

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