高振倡

联合培养硕士(上海科技大学)

Email：gaozhenchang@@gdiist.cn

 研究方向：

高性能计算和大数据分析

个人简介:

2021年学士毕业于集美大学，2025年硕士就读于上海科技大学。

代表论著：

1. Gao, Z, Huang, J, Chen, J, Shao, T, Ni, H, Cai, H*, Deep transfer learning-based computer vision for real-time harvest period classification and impurity detection of Porphyra haitnensis. Aquaculture International. (2024)

2. Gao, Z, Chen, S, Huang, J, Cai, H*. Real-time quantitative detection of hydrocolloid adulteration in meat based on Swin Transformer and smartphone. Journal of Food Science. (2024)

3. Gao, Z, Lin, Q, He, Q, Liu, C, Ni, H, Cai, H*, Rapid detection of spoiled apple juice using electrical impedance spectroscopy and data augmentation-based machine learning. Chiang Mai Journal of Science. (2024)