Team Members

Dr. Peng Yao(姚鹏)

  • Experiences:
    B.S., 1997, University of Science and Technology of China, HeFei, China MA.Sc, 2000, University of Science and Technology of China, HeFei, China Ph.D., 2005, University of Science and Technology of China, HeFei, China Postdoctoral Research Fellow, 2005-2008, University of Science and Technology of China, HeFei, China Lecturer, 2008-current, University of Science and Technology of China, HeFei, China
  • Research Interests:
    He is interested in biometric identification, artificial intelligence, Medical Image Processing, Embedded Systems.
  • E-mail:
    yaopeng@ustc.edu.cn

Representative Publications

  1. P. Yao#, S. Shen#, M. Xu, P. Liu, F. Zhang, J. Xing, P. Shao, B. Kaffenberger, and R. X. Xu*, “Single Model Deep Learning on Imbalanced Small Datasets for Skin Lesion Classification,” IEEE transactions on medical imaging, vol. 41, no. 5, pp. 1242-1254, 2022 May, 2022.
  • F. Zhang, B. Pan, P. F. Shao, P. Liu, S. W. Shen*, P. Yao*, R. X. Xu*, I. Alzheimers Dis Neuroimaging, and L. Australian Imaging Biomarkers, “A Single Model Deep Learning Approach for Alzheimer's Disease Diagnosis,” Neuroscience, vol. 491, pp. 200-214, May, 2022.
  • S. Shen, M. Xu, F. Zhang, P. Shao, H. Liu, L. Xu, C. Zhang, P. Liu, Z. Zhang*, P. Yao*, and R. X. Xu*, “A Low-Cost High-Performance Data Augmentation for Deep Learning-Based Skin Lesion Classification,” BME Frontiers, vol. 2022, pp. 9765307, 2022/06/01, 2022.
  1. H. Zhang, H. Su*, M. A. Soldatov, Y. L. Li, X. Zhao, M. H. Liu, W. L. Zhou, X. X. Zhang, X. Sun, Y. Z. Xu, P. Yao*, S. Q. Wei, and Q. H. Liu*, “Dynamic Co-Ru Bond Shrinkage at Atomically Dispersed Ru Sites for Alkaline Hydrogen Evolution Reaction,” Small, pp. 7, Dec, 2021.
  • W. L. Zhou, H. Su, S. W. Shen, Y. L. Li, H. Zhang, M. H. Liu, X. Zhao, W. R. Cheng, P. Yao*, and Q. H. Liu*, “Co-Ni Nanoalloy-Organic Framework Electrocatalysts with Ultrahigh Electron Transfer Kinetics for Efficient Oxygen Reduction,” Acs Sustainable Chemistry & Engineering, vol. 8, no. 17, pp. 6898-6904, May, 2020. 

Project:

  • National Natural Science Foundation of China (No. 60902062).
  • Anhui Provincial Key Research and Development Project (No. 202004d07020006)
  • Enterprise project: Circulating tumor detection based on microfluidics and deep learning, Shenzhen Youyi Biotechnology Co., Ltd.
  • Cultivation Project of Applied Scientific and Technological Achievements of the Institute of Advanced Technology, University of Science and Technology of China: Epidemic Control System in Public Places Based on Iris Recognition and Fever Detection

Patent:

  • 发明专利,徐梦娟,姚鹏,申书伟,邵鹏飞. 一种基于深度学习多权重损失函数的数据均衡方法 授予日期2023.06,专利号: ZL202110078808.1
  • 发明专利,姚鹏,徐亮,邵鹏飞,任维. 基于微流控和图像识别的循环肿瘤检测与分选方法及系统 授予日期2023.06,专利号: ZL202110078808.1,专利公开号:CN113588522A