1. 学院

信息与电子工程学院

2. 姓名

黄科杰

3. 近三年与智慧物联网相关的代表性项目

AI基础网络架构与量化研究，企业横向，2022-01-01 - 2023-12-31，十万级

云边协同的智能视频大数据边缘计算，NSFC联合基金重点项目，2020-01-01 - 2023-12-31，十万级

4. 近三年与智慧物联网相关的代表性论文

[1] Dongxv Wei, Xiaowei Xu, Haibin Shen, Kejie Huang. C2F-FWN: Coarse-to-Fine Flow Warping Network for Spatial-Temporal Consistent Motion Transfer. In 35th AAAI Conference on Artificial Intelligence, 2021.

[2] Ruibing Song, Kejie Huang, Zongsheng Wang and Haibin Shen, A Reconfigurable Convolution-in-Pixel CMOS Image Sensor Architecture, in IEEE Transactions on Circuits and Systems for Video Technology, doi: 10.1109/TCSVT.2022.3179370.

5. 近三年与智慧物联网相关的研究生培养典型案例

李鑫(2019-2022)：基于特征选择和时序因果信息的癫痫监测算法研究，

[1] Yinwei Gong, Xin Li, Zheng Zhang, Cenglin Xu, Kejie Huang, Zhong Chen. “Artificial Intelligence Based Prediction of Pharmacoresistance: towards realizing precision medicine on iEEG“, Annals of Neurology (IF=10.22，中科院1区TOP，在投)

[2] Xin Li, Zhaoyan Ming, Haibin Shen, Kejie Huang. “A Robust Multi-Scenario Seizure Monitoring Method with Feature Selection and Temporal Casual Neural Network Model”. Journal of Neural Engineering (IF=5.379, 神经工程领域顶刊，在投)

[3] Yuan-Xing Liu, Xi Liu, Chao Cen, Xin Li, Ji-Min Liu, Zhao-Yan Ming, Song-Feng Yu, Xiao-Feng Tang, Lin Zhou, Jun Yu, Ke-Jie Huang, Shu-Sen Zheng. Comparison and development of advanced machine learning tools to predict nonalcoholic fatty liver disease: An extended study. Hepatobiliary & Pancreatic Diseases International. 20(5), pp. 409-415, 2021/10/1. (IF=3.78)

[4] 一种基于特征筛选的流式癫痫预测方法。(发明专利，已受理)

6. 历年在物联网项目制招生的学生学位论文题目

（1） 基于特征选择和时序因果信息的癫痫监测算法研究

（2） 基于迁移学习的患者域自适应及模型轻量化研究