刘志强

刘志强，硕士生导师，工程师。研究方向主要为人工智能、可再生能源数据处理、医学图像处理、网络安全等。发表学术论文20余篇，获得授权发明专利13项，参与国家级、省部级纵向项目多项，主持横向项目2项。

项目

RuiguoYu, Zhiqiang Liu, Xuewei Li, Wenhuan Lu, Degang Ma, Mei Yu, Jianrong Wang, Bin Li. Scene Learning: Deep Convolutional Networks For Wind Power Prediction By Embedding Turbines Into Grid Space. Applied Energy, Volume 238, Pages 249-257.
Zijian Zhang, Ruiguo Yu, Xi Wei, Jie Gao, Mei Yu, Xuewei Li, Zhiqiang Liu*. Unsupervised Domain Adaptation Semantic Segmentation on Thyroid Ultrasound Images Based on Task-Oriented Feature Disentanglement. ICME 2024.
Mei Yu, Yujian Zhang, Xuewei Li, Ruixuan Zhang, Han Jiang, Jie Gao, Zhiqiang Liu*. Multi-Level Augmentation Consistency Learning And Sample Selection For Semi-Supervised Domain Generalization. ICASSP 2024.
Mei Yu, Hao Zheng, Xuewei Li, Jie Gao, Xuzhou Fu, Zhiqiang Liu*, Ruiguo Yu. Implicit Feature Augmentation with Feature Transfer For Class-Imbalanced Medical Image Classification[C]. BIBM 2023.