头像

曹桂涛

副书记教授/博士生导师

软件工程学院      

个人资料

  • 部门: 软件工程学院
  • 毕业院校: 上海交通大学
  • 学位: 博士
  • 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

曹桂涛,女,博士,华东师范大学软件工程学院党委副书记,教授,博士生导师。美国密苏里大学哥伦比亚分校访问学者。上海交通大学模式识别与智能系统专业博士毕业,主要研究方向为智能系统与物联网、机器学习、图像理解与分析。主持2项国家自然科学基金项目“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”和“变化检测驱动的边缘约束条件随机场模型及其迁移学习”,承担工信部物联网专项“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”,主持上海市自然科学基金项目和其他部委、企事业单位委托项目多项;发表IEEE Transactions on CyberneticsIEEE Transactions on MultimediaIEEE Transactions on Biomedical Engineering等国际顶级期刊和国际会议论文60余篇,申请专利、软件著作权多项。

   


社会兼职

计算机学会嵌入式系统专委会委员

IEEE Transactions on Pattern Analysis and Machine Intelligence等期刊审稿人

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

招生与培养

开授课程

科研项目

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,参与

6. 863重大项目,面向信息-物理融合的系统平台,参与

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,参与

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,参与


学术成果


     近期主要期刊论文:

[1]  Yangguang Cui, Kun Cao, Guitao Cao, Meikang Qiu, Tongquan Wei*. Client Scheduling and Resource Management for Efficient Training in Heterogeneous IoT-Edge Federated Learning. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2021

[2] Chao Ling, Guitao Cao*, Wenming Cao*, Hong Wang, He Ren. IAE-ClusterGAN: A new Inverse autoencoder for Generative Adversarial Attention Clustering Network. Neurocomputing,465(2021): 406-416

[3]  Junchi Yan, Changsheng Li, Yin Li, Guitao Cao*. Adaptive Discrete Hypergraph Matching. IEEE Transactions on Cybernetics, 2018, 48(2):765-779

[4]  Dan Meng, Libo Zhang, Guitao Cao*,and Bing Hu, Wenming Cao. Liver fibrosis classification based on transfer learning and an FCNet for ultrasound images. IEEE Access, 2017, 5: 5804 - 5810

[5]  Dan Meng, Guitao Cao, Ye Duan, Minghua Zhu*, Liping Tu, Dong Xu, and Jiatuo Xu. Tongue Images Classification Based on Constrained High Dispersal Network.  Evidence-Based Complementary and Alternative Medicine, 2017, Article ID 7452427, 1-12

[6]  Chen Huang, Zhihai He, Guitao Cao*, and Wenming Cao*. Task-Driven Progressive Part Localization for Fine-Grained Object Recognition, IEEE Transactions on Multimedia, 2016, 18(12): 2372-2383

[7]  Zhi Zhang; Zhihai He, Guitao Cao*, and Wenming 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

[8]  Tao Yang, Weiting Chen*, Guitao Cao*. Automated classification of neonatal amplitude-integrated EEG based on gradient boosting method. Biomedical Signal Processing and Control, 2016, 28: 50–57

[9]  Guitao Cao, Ling Li, Weiting Chen, Yehua Yu, Jun Shi*, Guixu Zhang*, Xuehua Liu . Effective identification and localization of immature precursors in bone marrow biopsy. Medical & Biological Engineering & Computing2015, 53:215–226

[10]Weiting Chen, Yu Wang, Guitao Cao*, Guoqiang Chen and Qiufang Gu. A Random Forest Model Based Classification Scheme for Neonatal Amplitude-Integrated EEG. BioMedical Engineering OnLine, 2014,13(S4), 2014/12/11

 

近期主要会议论文:

[1]  Yan Li, Guitao cao*, Wenming Cao*. Sample Efficient Lung Segmentation using Group structured Conditional Variational Data Imputation. ICME, 2021

[2]  Yannan Wang, Guitao Cao*, Danning Su, Hong Wang and He Ren. Embedding Bottleneck Gated Recurrent Unit Network for Radar Signal Recognition. IJCNN, 2021 

[3]  Chunwei Wu, Guitao Cao*, Wenming Cao, Hong Wang, He Ren. Debiased Prototype Network for Adversarial Domain Adaptation. IJCNN, 2021 

[4]  Jiyu Sheng, Yan Li, Guitao Cao*, Kai Hou. Modeling nodule growth via spatial transformation for follow-up prediction and diagnosis. IJCNN, 2021

[5]  Yan Li, Guitao cao*, Wenming Cao*. A Dynamic Group Equivariant Convolutional Networks for Medical Image Analysis. IEEE BIBM 2020:1056-1062

[6]  Guitao Cao, Yunming Tang, Jiyu Sheng, and Wenming Cao*. Emotion Recognition from Children Speech Signals Using Attention Based Time Series Deep Learning. IEEE BIBM 2019:1296-1300

[7]  Yan Li, Guitao Cao*, and Wenming Cao. Stacking-based deep neural network for Facial Expression Recognition. IEEE BIBM 2019: 1338-1442

[8]  Guitao Cao*, Tiantian Huang, Wenming Cao, Kai Hou, Peng Liu, Jiawei Zhang. 3D Convolutional Neural Networks Fusion Model for Lung Nodule Detection on Clinical CT Scans. IEEE BIBM 2018: 973-978

[9]  Liangcan Liao, Guitao Cao, Wenming Cao. Action Recognition Based on Depth Image Sequence. IEEE BIBM 2017: 1564-1568

[10]Guitao Cao*, Jie Ding, Ye Duan, Liping Tu, Jiatuo Xu, and Dong Xu. Classification of Tongue Images Based on Doublets and Color Space Dictionary. IEEE BIBM 2016: 1175-1180

[11]Kun Wang, Guitao Cao*, Dan Meng, Weiting Chen, and Wenming Cao.  Automatic fall detection of human in video using combination of features. IEEE BIBM 2016: 1233-1238

[12]Dan Meng, Guitao Cao*, Ye Duan, Minghua Zhu*, Liping Tu, Jiatuo Xu, and Dong Xu. A Deep Tongue Image Features Analysis Model for Medical Application. IEEE BIBM 2016: 1923-1927

[13]Dan Meng, Guitao Cao*, Zhihai He, and Wenming Cao. Facial Expression Recognition Based on LLENet. IEEE BIBM 2016: 1920-1922

[14] Dan Meng, Guitao Cao*, Xinyu Song, Weiting Chen, and Wenming Cao.Automated human physical function measurement using constrained high dispersal network with svm-linear. IEEE BIBM 2016: 1525-1531


 



荣誉及奖励

曾获得上海市育才奖,国家级教学成果二等奖、上海市教学成果特等奖和一等奖等奖项。



13 访问

相关教师