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李 菁



 


 

姓    名李  菁

职    称教授

导师类型博士生导师、硕士生导师       

电子邮箱jing.li.2003@gmail.com

办公地点:7-408

研究方向:人群计数、异常行为检测和识别、基于机器学习的脑疾病辅助诊断


1.国家自然科学基金(面上项目),基于视觉和脑电信息融合的孤独症评估和干预研究,2024.01-2027.12,50万,在研,负责人。

2.国家自然科学基金地区项目,基于注意力机制的多视角人群场景下的异常行为识别和理解,2020/01-2023/12,36万元,在研,负责人

3.国家自然科学基金青年项目,基于行为识别和意图估计的孤独症早期诊疗辅助系统,2018/01-2020/12,25万元,结题,负责人

4.国家自然科学基金地区项目,基于深度学习的特征融合在移动机器人视觉中的场景理解及研究,2015/01-2018/12,44万元,结题,负责人

5.江西省自然科学基金重点(杰出青年)项目,孤独症早期诊疗的视觉辅助系统的关键技术研究,2018/01-2020/12,20万元,结题,负责人



[1]Guanhe Huang , Jing Li#*, Heli Lu, Ming Guo, and Shengyong Chen, “Rethinking Inconsistent Context and Imbalanced Regression in Depression Severity Prediction," IEEE Transactions on Affective Computing, Online, 2024. (SCI, 中科院2区)

[2]Jing Li#, Xiaoli Kong#, Linlin Sun, Xu Chen, Gaoxiang Ouyang, Xiaoli Li, and Shengyong Chen, “Identification of Autism Spectrum Disorder based on Electroencephalography: A Systematic Review,” Computers in Biology and Medicine, vol. 170, no. 108075, 2024. (SCI, 中科院2区)

[3]Guanhe Huang, Jingyue Shi, Jun Xu, Jing Li*, Shengyong Chen, Yingjun Du, Xiantong Zhen, and Honghai Liu, “Gaze Estimation by Attention-Induced Hierarchical Variational Auto-Encoder,” IEEE Transactions on Cybernetics, vol. 54, no. 4, pp. 2592-2605, 2024. (SCI, 中科院1区)

[4]Jing Li, Zejin Chen, Yihao Zhong, Hak-Keung Lam, Junxia Han, Gaoxiang Ouyang*, Xiaoli Li, and Honghai Liu, “Appearance-based Gaze Estimation for ASD Diagnosis,” IEEE Transactions on Cybernetics, vol. 52, no. 7, pp. 6504 - 6517, 2022. (SCI, 中科院1区)

[5]Jing Li, Qingwang Huang, Yingjun Du, Xiantong Zhen, Shengyong Chen, and Ling Shao, “Variational Abnormal Behavior Detection with Motion Consistency,” IEEE Transactions on Image Processing, vol. 31, pp. 275-286, 2022. (SCI, 中科院1区)

[6]Jing Li, Qingwang Huang, Yingjun Du, Xiantong Zhen, Shengyong Chen, and Ling Shao, “Variational Abnormal Behavior Detection with Motion Consistency”, IEEE Transactions on Image Processing, Accept, 2021.(SCI, 中科院1区)

[7]Jing Li, Zejin Chen, Gongfa Li, Gaoxiang Ouyang*, and Xiaoli Li, “Automatic Classification of ASD Children Using Appearance-based Features from Videos”, Neurocomputing, Accept, 2021. (SCI, 中科院2区)

[8]Jing Li, Kan Jin, Dalin Zhou, Naoyuki Kubota, and Zhaojie Ju, “Attention Mechanism-based CNN for Facial Expression Recognition,” Neurocomputing, vol. 411, pp. 340-350, 2020. (SCI, 中科院2区)

[9]Jing Li, Yaokai Xue, Weiqun Wang, and Gaoxiang Ouyang, “Cross-level Parallel Network for Crowd Counting,” IEEE Transactions on Industrial Informatics, vol. 16, no. 1, pp. 566-576, 2020. (SCI, 中科院1区)

[10]Jing Li, Yihao Zhong, Junxia Han, Gaoxiang Ouyang, Xiaoli Li, and Honghai Liu, “Classifying ASD Children with LSTM based on Raw Videos,” Neurocomputing, vol. 390, pp. 226-238, 2020. (SCI, 中科院2区)


1. 获得2018年度江西省自然科学基金重点(杰出青年)项目资助

2. 获得2018年度江西省自然科学奖二等奖

3. 2019年度天津市特聘教授青年学者


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