滕竹

博士、副教授

基本信息

办公电话： 电子邮件： zteng@bjtu.edu.cn
通讯地址： 邮编：

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


研究方向

  • 机器学习与认知计算
  • 人工智能及应用
  • 计算机技术
  • 软件工程
  • 人工智能
  • 网络与信息安全
  • 大数据技术与工程

招生专业

  • 计算机科学与技术硕士
  • 计算机技术硕士
  • 软件工程硕士
  • 人工智能硕士
  • 网络与信息安全硕士
  • 大数据技术与工程硕士
  • 计算机科学与技术博士

科研项目

  • 北京交通大学: 基于小样本学习的换脸生成和换脸检测研究, 2021-2022
  • 北京市自然基金“面上”: 基于多神经网络的鲁棒实时目标跟踪研究, 2021-2023
  • 北京市自然基金“面上”: 面向关系推理的深度神经网络模型及算法研究, 2020-2022
  • 国家自然科学基金“面上”: 摄像机网络中基于机器视觉的多目标跟踪关键技术研究, 2020-2023
  • 基于深度神经网络的跨视角多行人跟踪方法研究
  • 北京交通大学: 智慧停车数据库及监控调度系统开发 , 2017-2021
  • 国家自然科学基金“面上”: 高速列车在途安全监测中的智能数据处理关键技术研究, 2017-2020
  • 国家自然科学基金“面上”: 基于多模态超图的社群图像检索研究, 2017-2020

研究生培养

本人招收2024级博士研究生（直博/硕博连读/申请考核等)(1名)，招收2024级硕士研究生(3-4名)！ 欢迎同学们与我邮件联系！ 

要求：   1. 热爱科研，善于沟通与团队合作；

         2. 较好的英文读写能力(英语六级)；

         3. 较好的编程能力(Python等)；

在读博士研究生: 

  • 李朝阳 (2021-)   
  • 邹俊男 (2023-)  


在读硕士研究生:  

  • 李东奇 (2021-)     张振梁 (2021-)       龚 爽 (2021-) 
  • 谢丽娜 (2022-)     陈春艳 (2022-)     张雨欣 (2022-)      金书雯 (2022-)     路大恒 (2022-)
  • 罗雯欣 (2023-)    吕汝泓 (2023-)     衣彦泽 (2023-)

已毕业研究生:                                                    

  • 2019届：李芮(院级优秀硕士论文)-读博   
  • 2020届：田佳杰-蚂蚁金服｜李佳坤(院级优秀硕士论文)-阿里
  • 2021届：王晶粳-中行｜段雅妮(院级优秀硕士论文)-工行｜初学成-工行｜陈亚楠-工行
  • 2022届：刘艳-百度｜唐启晧-北京银行｜唐续文-农行研发中心(校级优秀毕业生)｜曾添乐-小米
  • 2023届：张钊-渤海银行

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

论文/期刊

(^表示作者为本人指导的研究生, *表示本人为通讯作者) 

2023年

  • Rui Li, Baopeng Zhang, Jun Liu, Wei Liu, and Zhu Teng*.Heterogeneous Diversity Driven Active Learning for Multi-object Tracking. International Conference on Computer Vision (ICCV), 2023. 
  • Jiale Yu, Baopeng Zhang, Qirui Li, Haoyang Chen, Zhu Teng*. Hierarchical Reasoning Network with Contrastive Learning for Few-Shot Human-Object Interaction Recognition. ACM Multimedia. 2023. 
  • Dongqi Li^, Zhu Teng, Li Qirui, Wang Ziyin, Baopeng Zhang, Jianping Fan. Learning Disentangled Representations for Environment Inference in Out-of-distribution Generalization. British Machine Vision Conference (BMVC). 2023. 
  • Dongqi Li^, Zhu Teng, Li Qirui, Wang Ziyin. Sharpness-aware Minimization for Out-of-Distribution Generalization.International Conference on Neural Information Processing( ICONIP). 11.20-11.23, 2023. 
  • Rui Li, Baopeng Zhang, Jun Liu, Wei Liu, and Zhu Teng*.Inference-domain Network Evolution: A New Perspective for One-shot Multi-object Tracking.IEEE　Transactions on Image Processing. 2023.(online)
  • Jianghao Wu, Baopeng Zhang, Zhaoyang Li, Guilin Pang, Zhu Teng*, and Jianping Fan.Interactive Two-Stream Network Across Modalities for Deepfake Detection. IEEE Transactions on Circuits and Systems for Video Technology.2023. (online)
  • Rui Li, Baopeng Zhang, Wei Liu, and Zhu Teng*, Jianping Fan. PANet: An End-to-end Network Based on Relative Motion for Online Multi-object Tracking. ACM Trans. on Multimedia Computing Communications and Applications. 2023. (online)
  • Guilin Pang, Baopeng Zhang, Zhu Teng*, Zige Qi and Jianping Fan.MRE-Net: Multi-Rate Excitation Network for Deepfake Video Detection.IEEE　Transactions on Circuits and Systems for Video Technology.2023. (online)

2022年

  • Guilin Pang , Baopeng Zhang , Zhu Teng* , Nan Ma , and Jianping Fan. Fast-HBNet: Hybrid Branch Network for Fast Lane Detection. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS. 2022. (Early access)
  • Rui Li, Baopeng Zhang, Zhu Teng*, Jianping Fan.An end-to-end identity association network based on geometry refinement for multi-object tracking.Pattern Recognition. 2022. (Early access)
  • Zhu Teng, Yani Duan, Yan Liu, Baopeng Zhang, Jianping Fan. Global to Local: Clip-LSTM based Object Detection from Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 2022.

2021年

  • Xuwen Tang^, Zhu Teng, Baopeng Zhang, Jianping Fan. Self-supervised Network Evolution for Few-shot Classification. International Joint Conference on Artificial Intelligence (IJCAI), 2021.
  • Jiajie Tian^, Qihao Tang^, Rui Li, Zhu Teng*, Baopeng Zhang, Jianping Fan. A Camera identity-guided Distribution Consistency Method for Unsupervised Multi-target Domain Person Re-identification. ACM Transactions Intelligent. System Technology, 2021. (Online published) 
  • Jiajie Tian^, Zhu Teng,  Baopeng Zhang, Jianping Fan. Imitating Targets from All Sides: An Unsupervised Transfer Learning Method for Person Re-Identification. International Journal of Machine Learning and Cybernetics (JMLC), 2021.(Online published, IF:3.753) 
  • Rui Li, Baopeng Zhang, Zhu Teng*, Jianping Fan. A Divide-and-Unite Deep Network for Person Re-Identification. Applied Intelligence 51, 1479–1491, 2021

2020年

  • Jingjing Wang^, Zhu Teng, Baopeng Zhang, Jianping Fan.  Integrating Long-Short Term Network for Efficient Video Object Segmentation. British Machine Vision Conference (BMVC), 2020. 
  • Yani Duan^, Zhu Teng, Baopeng Zhang, Jianping Fan. An End-to-end Scalable Object Detection Network for Remote Sensing Images. IGARSS. 2020.  
  • Zhu Teng,Baopeng Zhang, Jianping Fan. Three-Step Action Search Networks with Deep Q-learning for Real-time Object Tracking. Pattern Recognition. Jan 2020.  

2019年

  • 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. 
  • 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.  

2018年及之前

  • 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) 
  • 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. 
  • 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.   
  • Zhu Teng, Feng Liu, Baopeng Zhang. Visual Railway Detection by Superpixel based Intracellular Decisions.  MULTIMEDIA TOOLS AND APPLICATIONS,  75(5),pp 2473-2486,2016.   
  • 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.   
  • 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.   
  • 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.  
  • 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. 
  • 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)