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曹桂涛

教授/博士生导师副书记

软件工程学院      

个人资料

  • 部门: 软件工程学院
  • 毕业院校:
  • 学位:
  • 学历:
  • 邮编:
  • 联系电话: (021)62232557
  • 传真:
  • 电子邮箱: gtcao@sei.ecnu.edu.cn
  • 办公地址: 理科大楼B201
  • 通讯地址:

教育经历

工作经历

个人简介

社会兼职

IEEE Access 副主编

IEEE Tansactions on Biomedical Engineering,《中国图象图形学报》 审稿人

研究方向

人工智能、图像分析与理解、医疗大数据处理、边缘计算

开授课程

科研项目

学术成果


科研项目:

1. 国家自然科学基金,流形循环可微分编程网络的边缘计算及其在肺癌实时预测中的研究,主持

2. 国家自然科学基金,变化检测驱动的边缘约束条件随机场模型及其迁移学习,主持

3. 工信部物联网发展专项,基于物联网的社区远程医疗实时监测系统平台研制和产业化,主持

4. 上海市自然科学基金项目,自顶向下和自底向上相结合的图像分割方法研究,主持

5.  973项目,多源异质数据的信息提取与快速变化检测

6. 863重大项目,面向信息-物理融合的系统平台

7. 国家自然科学基金,基于aEEG的新生儿脑功能状态自动辨识研究

8. 国家自然科学基金,骨髓“前ALIP”结构特点及其与急性白血病MRD的关系研究



代表性论文:

[1] J. Yan, C. Li, Y. Li, G. Cao*. Adaptive Discrete Hypergraph Matching. IEEE Transactions on Cybernetics,2018,48(2):765-779 (SCI一区top期刊,IF=8.803)

[2] D. Meng, G. Cao*, L. Zhang, and B. Hu, W. Cao. Liver fibrosis classification based on transfer learning and FCNet for ultrasound images. IEEE Access,2017,5: 5804 - 5810 (SCI二区, IF=3.244)

[3] D. Meng, G. Cao, Y. Duan, M. Zhu*, L. Tu, D. Xu, and J. Xu. Tongue Images Classification Based on Constrained High Dispersal Network.  Evidence-Based Complementary and Alternative Medicine,2017, Article ID 7452427, 1-12 (SCI,IF=1.740)

[4] C. Huang, Z. He, G. Cao*, and W. Cao*. Task-Driven Progressive Part Localization for Fine-Grained Object Recognition, IEEE Transactions on Multimedia, 2016, 18(12):2372-2383 (SCI一, IF=3.509)

[5] Z. Zhang; Z. He; G. Cao*, and W. Cao*. Animal Detection from Highly Cluttered Natural Scenes Using Spatiotemporal Object Region Proposals and Patch Verification. IEEE Transactions on Multimedia, 2016, 18(10): 2079-2092(SCI一, IF= 3.509)

[6] T. Yang, W. Chen*, G. Cao*. Automated classification of neonatal amplitude-integrated EEG based on gradient boosting method. Biomedical SignalProcessing and Control, 2016, 28: 5057 (SCI)

[7] G. Cao*, L. Li, W. Chen, Y. Yu, J. Shi, G. Zhang, X. Liu . Effective identification and localization of immature precursors in bone marrow biopsy. Medical & Biological Engineering & Computing2015, 53:215226, (SCI)

[8] W.Chen, Y. Wang, G. Cao*, G. Chen and Q. Gu. A Random Forest Model Based Classification Scheme for Neonatal Amplitude-Integrated EEG. Biomedical Engineering OnLine, 2014,13(S4), 2014/12/11 (SCI)

[9] W.Chen, G. Cao*, Z. Wang. Detection of an increase in EMG regularity during fatiguing contractions, Journal of Southeast University 26(4):541- 545, 2010.12 (EI)

[10] L. Liao, G. Cao*, W. Cao. Action Recognition Based on Depth Image Sequence. IEEE BIBM 2017, KansasCity, MO, USA, November 13-16, 2017: 1564-1568(CCF-B)

[11] G. Cao*, J. Ding, Y. Duan, L. Tu, J. Xu, and D. Xu. Classification of Tongue Images Based on Doublets and Color Space Dictionary. IEEE BIBM 2016, Shenzhen, Dec. 16-18, 2016:1175-1180 CCF-B

[12] K. Wang, G. Cao*, D. Meng, W. Chen, and W. Cao. Automatic fall detection of human in video using combination of features. IEEE BIBM 2016, Shenzhen, Dec. 16-18 2016: 1233-1238 CCF-B

[13] D. Meng, G. Cao*, Y. Duan, M. Zhu, L. Tu, J. Xu, and D. Xu. A Deep Tongue Image Features Analysis Model for Medical Application, IEEE BIBM 2016, Shenzhen, Dec. 16-18, 2016: 1923-1927CCF-B

[14] D. Meng, G. Cao*, Z. He, and W. Cao. Facial Expression Recognition Based on LLENet. IEEE BIBM 2016, Shenzhen, Dec. 16-18, 2016: 1920-1922CCF-B

[15] D. Meng, G. Cao*, X. Song, W. Chen, and W. Cao. Automated human physical function measurement using constrained high dispersal network with svm-linear. IEEE BIBM 2016, Shenzhen, Dec. 16-18, 2016: 1525-1531CCF-B



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