曹桂涛

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 TIP、IEEE Trans Cybern、IEEE TMM和Pattern Recognition等国际顶级期刊和国际会议论文80余篇，申请专利、软件著作权多项。

计算机学会嵌入式系统专委会委员

IEEE TPAMI等期刊审稿人

人工智能、图像分析与理解、医疗大数据处理、边缘计算

数字逻辑

数字逻辑实践 

数字图像处理

模式识别

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

     近期主要期刊论文：

        [1] Yan Li, Xia Cai, Chunwei Wu, Xiao Lin*, Guitao Cao*. A Trustworthy Counterfactual Explanation Method With Latent Space Smoothing. IEEE Transactions on Image Processing, VOL. 33, 4584-4599, 2024

        [2] Siheng Wang, Guitao Cao*, Wenming Cao, Yan Li. NLA-GNN: Non-Local Information Aggregated Graph Neural Network for Heterogeneous Graph Embedding. Pattern Recognition, 158 (2025) 110940

        [3] Xinyue Zhang, Guitao Cao*, Fangqing Zhu, Kun Wang, Yaofeng Xue, Mingzhuo Liu. Bring the Artificial Intelligence to  Tutoring Robots in Education：A Systematic Literature Review. IEEE Transactions on Learning Technologies, accepted, 2024

        [4] Qiqi Tao, Liying Li, Junlong Zhou, Guitao Cao, Dan Meng. Resource-aware Montgomery Modular Multiplication Optimization for Digital Signal Processing, Journal of Systems Architecture, Volume 151, 2024, 103142

        [5] Hailing Wang, Guitao Cao*, Wenming Cao. A novel inference paradigm based on multi-view prototypes for one-shot semantic segmentation. Applied Intelligence, 2023, 53(21):  25771 - 25786

        [6] Xuesheng Zhou, Yan Li, Guitao Cao*, Wenming Cao. Master-CAM: Multi-Scale Fusion Guided by Master Map for High-Quality Class Activation Maps. Displays 76 (2023) 102339 

       [7] Shasha Liu, Hailing Wang, Yan Li, Xiaohu Li, Guitao Cao∗, Wenming Cao. AHU-MultiNet: Adaptive loss balancing based on homoscedastic uncertainty in multi-task medical image segmentation network. Computers in Biology and Medicine 150 (2022) 106157

       [8]  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, 2022, 41(8): 2407-2420 

        [9] 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 

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

近期主要会议论文：     

       [1]  Xinyue Zhang, Zhaoxia Wang, Hailing Wang, Jing Xiang, Chunwei Wu, Guitao Cao*. CausVSR: Causality Inspired Visual Sentiment Recognition. 33rd International Joint
Conference on Artificial Intelligence (IJCAI 2024),  accepted

        [2] Hai Zhang, Chunwei Wu, Guitao Cao*, Hailing Wang, Wenming Cao. HyperEditor: Achieving Both Authenticity and Cross-Domain Capability in Image Editing via Hypernetworks. The Thirty-Eighth AAAI Conference on Artificial Intelligence, Vancouver, Canada (AAAI 2023), Feb. 20-27, 2024, 38(7): 7051-7059

       [3] Chunwei Wu, Guitao Cao*, Yan Li, Xidong Xi, Wenming Cao, Hong Wang. Chaos to Order: A Label Propagation Perspective on Source-Free Domain Adaptation. The 31st ACM International Conference on Multimedia(ACM MM 2023), Ottawa, Canada, Oct. 29-Nov. 3, 2023: 2877-2887

       [4] Yu Chen, Chunwei Wu, Shasha Liu, Guitao Cao∗. Calibrated Uncertainty-Guided Multi-task Framework for Medical Image Segmentation. IEEE International Conference on Bioinformatics and Biomedicine(BIBM 2023), Istanbul, Turkiye, Dec. 5-8, 2023, 1060-1067

        [5] Hanxiu Zhang, Guitao Cao*, Xinyue Zhang, Jing Xiang, Chunwei Wu. Making Adversarial Attack Imperceptible in Frequency Domain: A Watermark-based Framework. IEEE International Conference on Multimedia and Expo (ICME 2023), Brisbane, Australia, July 10-14, 2023

        [6] Xinyue Zhang, Guitao Cao*, Jing Xiang, Hanxiu Zhang, Chunwei Wu, Hailing Wang. DCNet: Weakly Supervised Saliency Guided Dual Coding Network for Visual Sentiment Recognition. 26th European Conference on Artificial Intelligence (ECAI 2023), Kraków, Poland , Sep. 30-Oct.4, 2023

       [7] Tongsai Jin, Zhihui Fu, Dan Meng, Jun Wang, Yue Qi, Guitao Cao*. FedPerturb: Covert Poisoning Attack on Federated Learning via Partial Perturbation.26th European Conference on Artificial Intelligence (ECAI 2023), Kraków, Poland, Sep. 30-Oct.4 

       [8] Zezhou Wang, Guitao Cao*, Xidong Xi, Jiangtao Wang. OpenNet: Incremental Learning for Autonomous Driving Object Detection with Balanced Loss. 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2023) , Oct. 01-04, 2023 

       [9] Siheng Wang, Guitao Cao*, Chunwei Wu. Geometric Contrastive Learning for Heterogeneous Graphs Encoding. 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2023) , Oct. 01-04, 2023

      [10] Jing Xiang, Guitao Cao*, Xinyue Zhang, Hanxiu Zhang, Chunwei Wu, Hong Wang. Discriminative Feature Mining and Alignment for Unsupervised Domain Adaptation. International Joint Conference on Neural Networks( IJCNN 2023), Gold Coast, Australia, June 18-23, 2023

       [11] Kexue Ma, Guitao Cao*, Mengqian Xu, Chunwei Wu, Hong Wang, Wenming Cao. Class-Balanced Universal Perturbations for Adversarial Training. International Joint Conference on Neural Networks (IJCNN 2023), Gold Coast, Australia, June 18-23, 2023

      [12] Dan Meng, Zhihui Fu, Chao Kong, Yue Qi, Guitao Cao*. When Adversarial Example Attacks Meet Vertical Federated Learning. UIC 2022: International Conference on Ubiquitous Intelligence and Computing, Haikou, China, Dec. 15-18, 2022   

     [13] Dan Meng, Zhihui Fu, Chao Kong, Yue Qi, Guitao Cao*. t-PSI: Efficient Multi-party Private Set Intersectionwith Threshold. UIC 2022: International Conference on Ubiquitous Intelligence and Computing, Haikou, China, Dec. 15-18, 2022 

     [14] Guitao Cao*, Qi Yang, Beichen Zheng, Kai Hou, Jiawei Zhang. Attention 3D Fully Convolutional Neural Network for False Positive Reduction of Lung Nodule Detection. ICONIP 2022: International Conference on Neural Information Processing, New Delhi, India, November 22-26, 2022

      [15] Xiaopei Xu, Guitao Cao, Yan li. CBPGM: A Cache Based Piecewise Geometric Model Index. SMC 2022: International Conference on Systems, Man, and Cybernetics, Prague, Czech Republic, October 09-12, 2022

      [16] Xiaohu Li, Yan Li, Shasha Liu, Guitao Cao*. PassAugment: Pass Nodes Importance in Graph Data Augmentation for Graph Classification. SMC 2022: International Conference on Systems, Man, and Cybernetics, Prague, Czech Republic, October 09-12, 2022

     [17] Yong Liu, Chunwei Wu, Xidong Xi, Yan Li, Guitao Cao*, Wenming Cao, Hong Wang. Adversarial Discriminative Feature Separation for Generalization in Reinforcement Learning. 2022 International Joint Conference on Neural Networks (IJCNN 2022), Padua, Italy, July 18-23, 2022 

     [18] Shiyu Liu, Guitao Cao*, Yong Liu, Yan Li, Chunwei Wu, Xidong Xi. Mix-up Consistent Cross Representations for Data-Efficient Reinforcement Learning. 2022 International Joint Conference on Neural Networks (IJCNN 2022), Padua, Italy, July 18-23, 2022

     [19] Jinwei Liu, YanLi, Guitao Cao*, Wenming Cao, YongLiu. Feature Pyramid Vision Transformer for MedMNIST Classification Decathlon. 2022 International Joint Conference on Neural Networks (IJCNN 2022), Padua, Italy,  July 18-23, 2022 

      [20] Yan Li, Shasha Liu, Chunwei Wu, Xidong Xi, Guitao Cao, and Wenming Cao. DCFG: Discovering Directional CounterFactual Generation for Chest X-rays. IEEE International Conference on Bioinformatics and Biomedicine（BIBM 2021）, Dec. 9-12, 2021

      [21] Yan Li, Guitao cao, Wenming Cao. Sample Efficient Lung Segmentation using Group structured Conditional Variational Data Imputation. IEEE International Conference on Multimedia and Expo (ICME 2021)，Shenzhen, China, July 5-9, 2021

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。