个人简历

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

研究领域

人工智能、图像分析与理解、医疗大数据处理、边缘计算""

近期论文

[1] J. Yan, C. Li, Y. Li, G. Cao*. Adaptive Discrete Hypergraph Matching. IEEE Transactions on Cybernetics,2018,48(2):765-779
[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
[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
[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
[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
[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: 50–57
[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 & Computing，2015, 53:215–226
[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
[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
[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
[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
[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
[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: 1923-1927
[14] D. Meng, G. Cao*, Z. He, and W. Cao. Facial Expression Recognition Based on LLENet. IEEE BIBM 2016, Shenzhen, Dec. 16-18, 2016: 1920-1922
[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: 1525-1531
IEEE Access 副主编
IEEE TPAMI, IEEE TBE,《中国图象图形学报》 审稿人