李小冬 讲师（高校）

2014年6月-至今，杭州电子科技大学计算机学院（软件学院）工作。

主要从事机器学习，图像处理，医学数据分析，模式识别领域的研究。

承担《程序设计基础》、《C语言程序设计》、《C语言程序设计（双语）》、《数字电路设计》、《数字电路课程设计》、《计算机组成原理（乙）》、《计算机组成原理课程设计（乙）》、《数据挖掘》、《大学计算机基础》、《可视计算基础》、《人工智能导论》、《计算机视觉基础》等本科教学工作。

[1]Li, Xiaodong, Weijie Mao and Wei Jiang. “Extreme learning machine based transfer learning for data classification.” Neurocomputing 174 (2016): 203-210.

[2]Li, Xiaodong, Weijie Mao, Wei Jiang and Ye Yao. Extreme learning machine via free sparse transfer representation optimization. Memetic Computing 8 (2016): 85-95.

[3]Zhang, Jiakai, Xiaodong Li, Zhigang Gao and Jing Chen. “Image detection of dental diseases based on deep transfer learning.” 2021 2nd International Conference on Artificial Intelligence and Computer Engineering (ICAICE) (2021): 774-778.

[4]Li, Xiaodong, Peng Gao, Chao-Jung Huang, Shiying Hao, Xuefeng Bruce Ling, Yongxia Han, Yaqi Zhang, Le Zheng, Chengyin Ye, Modi Liu, Minjie Xia, Changlin Fu, Bo Jin, Karl G. Sylvester and Eric Widen. “A Deep-Learning Based Prediction of Pancreatic Adenocarcinoma with Electronic Health Records from the State of Maine.” International Journal of Medical and Health Sciences 14 (2020): 358-365.

[5]Gong, Zhaozhe, Xiaodong Li, Xiaoying Shi, Geng Liu and B. Chen. “Research of 3D image processing of VR technology in medicine based on DNN.” KSII Trans. Internet Inf. Syst. 16 (2022): 1584-1596.

[6]Huang, Chao-Jung, Brian W Wu, Xiaodong Li, Yongxia Han, Yaqi Zhang, Shiying Hao and Xuefeng Bruce Ling. “Predicting 1-year mortality of acute kidney injury: a risk model using electronic health records.” Other Conferences (2021).

[7]Chen, Jing, Qichao Wang, Weimin Peng, Hai-ming Xu, Xiaodong Li and Wenqiang Xu. “Disparity-Based Multiscale Fusion Network for Transportation Detection.” IEEE Transactions on Intelligent Transportation Systems 23 (2022): 18855-18863.