个人简历

教学工作
本科生：
C语言程序设计
计算机综合训练
视频处理与铁路应用
物联网架构与技术
研究生：
机器视觉基础
深度学习
教育背景
2008/9 - 2013/8，韩国釜山大学，博士
2002/9 - 2006/6，中南大学，学士
工作经历
2017.1 - 至今， 北京交通大学，计算机与信息技术学院，副教授
2015.09 - 2016.12，北京交通大学，计算机与信息技术学院，讲师
2013.09 - 2015.09，北京交通大学，计算机与信息技术学院，师资博士后
2006.09 - 2008.04，美的空调，研发中心

研究领域

机器学习与认知计算
人工智能及应用
计算机技术（专业学位）
软件工程（专业学位）
人工智能技术（专业学位）"科研项目
红果园国家级科技委、后勤保障项目: 时敏机动弱小目标识别关键技术—遥感图像中基于多神经网络的小目标检测技术

近期论文

论文/期刊
1. Zhu Teng, Baopeng Zhang, Jianping Fan. Three-Step Action Search Networks with Deep Q-learning for Real-time Object Tracking. Pattern Recognition. Jan 2020. (Accepted)
2. Zhu Teng, Junliang Xing, Qiang Wang, Baopeng Zhang, Jianping Fan. Deep Spatial and Temporal Network for Robust Visual Object Tracking, IEEE Transactions on Image Processing, 2019. (Online published)
3. Rui Li, Baopeng Zhang, Dong-Joong Kang, Zhu Teng*, Deep attention network for person re-identification with multi-loss, Computers & Electrical Engineering, Volume 79, 2019. (Online published)
4. Qiang Wang#, Zhu Teng#, Junliang Xing, Jin Gao, Weiming Hu, Steve Maybank. Learning Attentions: Residual Attentional Siamese Network for High Performance Online Visual Tracking, The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.(#共同一作)
5. Zhu Teng, Junliang Xing, Qiang Wang, Congyan Lang, Songhe Feng, Yi Jin. Robust Object Tracking based on Temporal and Spatial Deep Network, The IEEE International Conference on Computer Vision (ICCV), 2017.
6. Zhu Teng, Tao Wang, Feng Liu, Dong-Joong Kang, Congyan Lang, Songhe Feng. From sample selection to model update: A robust online visual tracking algorithm against drifting. Neurocomputing, pp. 1221-1234, 2016.
7. Zhu Teng, Feng Liu, Baopeng Zhang. Visual Railway Detection by Superpixel based Intracellular Decisions. MULTIMEDIA TOOLS AND APPLICATIONS, 75(5),pp 2473-2486,2016.
8. Zhu Teng, Feng Liu, Baopeng Zhang and Dong-Joong Kang. An Approach for Security Problems in Visual Surveillance Systems by Combining Multiple Sensors and Obstacle Detection. J Electr Eng Technol. 10(3): 1284-1292, 2015.
9. Zhu Teng, Baopeng Zhang, Feng Liu, Railway region detection based on Haar-like features, ACM International Conference on Internet Multimedia Computing and Service (ICIMCS), July 10-12, Xiamen, China, 2014.
10. Zhu Teng, Baopeng Zhang, An optimization method of fusing multiple decisions in object detection, the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) Workshop Proceedings (DANTH), May 13-17, Tainan, Taiwan, 2014.
11. Zhu Teng, Baopeng Zhang, Onecue Kim, Dong-Joong Kang, “Regional SVM classifiers with a spatial model for object detection”, VISAPP2014, Lisbon, Portugal, Jan 5-8, 2014.
12. Zhu Teng, Dong-Joong Kang, “Disjunctive normal form of weak classifiers for online learning based object tracking”, VISAPP2013, Barcelona, Spain, Feb 21-24, 2013.(Full paper)