一、个人简介

刘开俊,1991年12月出生，山西省大同市人，汉族，群众，职称讲师，博士。2015年6月于内蒙古科技大学计算机科学与技术专业本科毕业，2015—2018年于上海理工大学计算机科学与技术专业硕士研究生毕业，2018—2023年于华东师范大学计算机应用技术专业博士研究生毕业。研究方向是模式识别与机器智能，具体包括目标检测与分割、小样本学习等，以第一作者身份在国际顶级期刊IEEE Transactions on Multimedia（TMM）、Displays等期刊发表学术论文。

二、发表论文

1. Kaijun Liu, Shujing Lyu, and Yue Lu. Few-Shot Segmentation for Prohibited Items Inspection with Patch-based Self-Supervised Learning and Prototype Reverse Validation, IEEE Transactions on Multimedia, 2022, doi: 10.1109/TMM.2022.3176546.

2. Kaijun Liu, Shujing Lyu, Palaiahnakote Shivakumara, and Yue Lu. Few-Shot Object Segmentation with A New Feature Aggregation Module, Displays, 2023, doi:10.1016/j.displa.2023.102459.

3. Kaijun Liu, Shujing Lyu, Palaiahnakote Shivakumara, Michael Blumenstein, and Yue Lu. A New Few-Shot Learning-based Model for Prohibited Objects Detection in Cluttered Baggage X-Ray Images through Edge Detection and Reverse Validation, IEEE Signal Processing Letters, 2023, doi: 10.1109/LSP.2023.3326088.

4. He, Panbo, Chunxue Wu, Kaijun Liu and Naixue N. Xiong. “Deep Reinforcement Learning Based on Spatial-Temporal Context for IoT Video Sensors Object Tracking.” SmartCom, 2020.

三、讲授课程

计算机基础与应用