周嵘，博士，特别助理研究员

2015年获日本北海道大学信息科学专业博士学位，2015至2018年任美国犹他州立大学博士后研究员。获北京市朝阳区“凤凰计划”高层次人才认定。发表SCI/EI/计算机会议论文20余篇，申请中国、美国、欧洲、日本等多国发明专利16项。“智慧出行AI联合实验室”项目主要参与人，曾参加国家自然科学基金中德合作小组（NSFC-DFG）、美国国家科学基金（NSF）、美国农业部企业创新（USDA-SBIR）等科研项目。获Pattern Recognition Letters、Computers and Electronics in Agriculture等SCI期刊优秀评审专家。中国图象图形学学会（CSIG）、美国农业与生物工程学会（ASABE）会员。

 

联系方式：zhourong@semi.ac.cn

 

主要研究方向：

机器视觉、图像处理、模式识别、多模态大模型、智能座舱、传感器等

 

代表性论文：

1. Meng, F., Li, T., Sheng, W., Dixon, C., Zhou, R., and Jones, S.B., 2023. Heat Pulse Probe Design Optimization Using Numerical Simulation. Geoderma, 436, 116543. (IF = 6.1)

2. Dixon, C., Sheng, W., Zhou, R., Horton, R. and Jones, S.B., 2023. Thermal Property Standards Using Granular Media with Air-Pluviation and Heat Pulse Probe Measurements. Agricultural and Forest Meteorology, 330, 109303. (IF = 6.2)

3. Sun, W., Sheng, W., Zhou, R., Zhu, Y., Chen, A., Zhao, S. and Zhang, Q., 2022. Deep Edge Enhancement-Based Semantic Segmentation Network for Farmland Segmentation with Satellite Imagery. Computers and Electronics in Agriculture, 202. (IF = 8.3)

4. Naruke, C., Sheng, W., Zhou, R., and Jones, S.B. Standardizing Heat Pulse Probe Measurements for Thermal Property Determination using Ice and Water, Agricultural and Forest Meteorology, 2021, 308–309. (IF = 6.424)

5. Hao, Q., Pei, Y., Zhou, R., Sun, B., Sun, J., Li, S., Kang, X., 2021. Fusing Multiple Deep Models for In Vivo Human Brain Hyperspectral Image Classification to Identify Glioblastoma Tumor. IEEE Transactions on Instrumentation and Measurement, 70, 1–14. (IF = 5.332)

6. Wang, L., Sun, L., Zhang, M., Zhang, H., Ping, W., Zhou, R., Sun, J., 2021. Exploring Pathologist Knowledge for Automatic Assessment of Breast Cancer Metastases in Whole‑slide Image. In Proceedings of the 29th ACM International Conference on Multimedia, 255‒263.

7. Naruke, C., Sheng, W., Zhou, R., Jones, S. B., 2021. Standardizing Heat Pulse Probe Measurements for Thermal Property Determination Using Ice and Water. Agricultural and Forest Meteorology, 308. (IF = 6.424)

8. Sun, W., Zhou, R., Nie, C.C., Wang L.A., Sun, J., 2020. Farmland Segmentation from Remote Sensing Images Using Deep Learning Methods (Proc. SPIE on Remote Sensing for Agriculture, Ecosystems, and Hydrology), pp. 1–7, Sept. 20.

9. Sheng, W., Zhou, R., Sadeghi, M., Babaeian, E., Robinson, D.A., Tuller, M. and Jones, S.B., 2017. A TDR Array Probe for Monitoring Near‑Surface Soil Moisture Distribution. Vadose Zone Journal, 16(4). (IF = 2.71)

10. Zhou, R., Kaneko, S.I., Tanaka, F., Kayamori, M. and Shimizu, M., 2015. Image‑based Field Monitoring of Cercospora Leaf Spot in Sugar Beet by Robust Template Matching and Pattern Recognition. Computers and Electronics in Agriculture, 116, pp. 65–79. (IF = 1.892)

11. Zhou, R., Kaneko, S.I., Tanaka, F., Kayamori, M. and Shimizu, M., 2014. Disease Detection of Cercospora Leaf Spot in Sugar Beet by Robust Template Matching. Computers and Electronics in Agriculture, 108, pp. 58–70. (IF = 1.761)

12. Zhou, R., Damerow, L., Sun, Y. and Blanke, M.M., 2012. Using Colour Features of cv. ‘Gala’ Apple Fruits in an Orchard in Image Processing to Predict Yield. Precision Agriculture, 13(5), 568–580. (IF = 1.728, citation>170)

13. Zhou, R., Kaneko, S.I., Tanaka, F., Kayamori, M. and Shimizu, M., 2013. Early Detection and Continuous Quantization of Plant Disease Using Template Matching and Support Vector Machine Algorithms. In International Symposium on Computing and Networking (CANDAR), pp. 300–304, Matsuyama, Japan, Dec. 4–6. (Best Paper Award)

 

代表性专利：

1) 一种基于空谱融合深度学习的医学高光谱图像分类方法（中国，已授权，ZL 2021 1 0467404.1）

2) Device and Method for Electromagnetic Field Simulation（美国，已授权，US 11,210,561 B2）

 

竞赛获奖：

1) 2021年，季军（3/113）：The CAMELYON17 Challenge, Automated Detection and Classification of Breast Cancer Metastases in Whole‑Slide Images of Histological Lymph Node Sections, Radboud University Medical Center

2) 2020年，冠军：IDTReeS, Integrating Data Science with Trees and Remote Sensing Competition, The University of Florida