姓名：吴娜

职称：讲师

导师类型：硕导

学位：博士

专业：人工智能

毕业院校：中国科学技术大学

研究方向：计算机视觉与模式识别，图谱大数据智能分析，多模态信息表征与融合

招生学位点：电子信息专硕（人工智能、计算机科学与技术）

联系方式：nwu@zust.edu.cn

所在团队：人工智能技术与应用团队

微信公众号：“智能感知计算与装备实验室”

5篇代表性成果（论文、专利、奖项）

[1] Na Wu^# ; Hubiao Jiang^# ; Yidan Bao; Chu Zhang; Jingze Zhang; Wenjian Song; Yiying Zhao; Chunxiao Mi; Yong He; Fei Liu^* ; Practicability investigation of using near-infrared hyperspectral imaging to detect rice kernels infected with rice false smut in different conditions, Sensors and Actuators B: Chemical, 2020, 308: 127696 (中科院1区, TOP期刊, IF = 8.0)

[2] Na Wu; Shizhuang Weng; Jinxin Chen; Qinlin Xiao; Chu Zhang; Yong He^*; Deep convolution neural network with weighted loss to detect rice seeds vigor based on hyperspectral imaging under the sample-imbalanced condition, Computers and Electronics in Agriculture, 2022, 196: 106850 （中科院1区, TOP期刊, IF = 7.7）

[3] Na Wu; Shizhuang Weng; Qinlin Xiao; Hubiao Jiang; Yun Zhao; Yong He*; Rapid and accurate identification of bakanae pathogens carried by rice seeds based on hyperspectral imaging and deep transfer learning, Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2024, 311: 123889. （中科院2区, IF = 4.3）

[4] Na Wu; Fei Liu; Fanjia Meng; Mu Li; Chu Zhang; Yong He*; Rapid and accurate varieties classification of different crop seeds under sample-limited condition based on hyperspectral imaging and deep transfer learning, Frontiers in Bioengineering and Biotechnology, 2021, 9: 696292. （中科院3区, IF = 4.3）

[5] Qinlin Xiao; Wentan Tang; Chu Zhang; Lei Zhou; Lei Feng; Jianxun Shen; Tianying Yan; Pan Gao^*; Yong He^*;Na Wu^*; Plant Phenomics, 2022, 2022: 9813841. （中科院1区, TOP期刊, IF = 6.789）

主持项目（省部级以上纵向、或其他横向）

（1）国家自然科学基金，基于多模态学习的水稻叶瘟病检测方法及机理研究。

（2）国家自然科学基金-课题，基于化学成像和深度学习的黄萎病胁迫下棉花高通量表型检测方法研究。

（3）农业生态大数据分析与应用技术国家地方联合工程研究中心开放课题，恶苗病胁迫下水稻高通量表型检测方法及抗性机理研究。