导师简介——谷宇

2022/09/05 15:50:03    人浏览

姓 名:谷宇

性 别:

最高学位/职称:博士/教授

专业领域:电子信息-控制工程

研究方向:故障诊断与智能信息处理,工业过程控制与工业软件

主讲课程:本科生课程:误差理论与数据处理

主要荣誉:俄罗斯自然科学院院士,俄罗斯工程院院士,广东省高等学校珠江学者特聘教授。

出版著作及代表性论文:(著作、论文分别填写,代表作限填10篇)

1. Liang S, Liu H,Gu Y*, et al. Fast automated detection of COVID-19 from medical images using convolutional neural networks[J]. Communications Biology, 2021, 4(1): 1-13.

2. Liang S,Gu Y*. Computer-aided diagnosis of Alzheimer’s disease through weak supervision deep learning framework with attention mechanism[J]. Sensors, 2020, 21(1): 220.

3. Wei H, Zhang Q, Shang M,Gu Y*. Extreme learning Machine-based classifier for fault diagnosis of rotating Machinery using a residual network and continuous wavelet transform[J]. Measurement, 2021, 183: 109864.

4. Wang X,Gu Y*, Liu H. A transfer learning method for the protection of geographical indication in China using an electronic nose for the identification of Xihu Longjing tea[J]. IEEE Sensors Journal, 2021, 21(6): 8065-8077.

5. Liang S,Gu Y*. A deep convolutional neural network to simultaneously localize and recognize waste types in images[J]. Waste Management, 2021, 126: 247-257.

6. Yu D,Gu Y*. A machine learning method for the fine-grained classification of green tea with geographical indication using a MOS-based electronic nose[J]. Foods, 2021, 10(4): 795.

7. Cao B, Sun Z, Zhang J,Gu Y*. Resource Allocation in 5G IoV Architecture Based on SDN and Fog-Cloud Computing[J]. IEEE Transactions on Intelligent Transportation Systems, 2021, 22(6): 3832-3840.

8. Cao B,Gu Y*, Lv Z, et al. RFID reader anticollision based on distributed parallel particle swarm optimization[J]. IEEE Internet of Things Journal, 2020, 8(5): 3099-3107.

9. Cao B, Zhao J,Gu Y*, et al. Applying graph-based differential grouping for multiobjective large-scale optimization[J]. Swarm and Evolutionary Computation, 2020, 53: 100626.

10. Liu H, Li Q,Gu Y*. A multi-task learning framework for gas detection and concentration estimation[J]. Neurocomputing, 2020, 416: 28-37.

近5年主持承担科研项目及经费:(已结题、正承担的课题应分别注明)

1. 广东省自然科学基金面上项目, 2021A1515011970,聚合物QCM传感器型电子鼻信号漂移抑制技术研究, 2021/01-2023/12,资助经费: 10万元,在研,主持。

科研成果(获奖、专利、版权、著作权、外观设计等):

1.“十三五”国家重点出版物教材《人工智能基础》,主编