姓名： 滕婧

职称： 副教授

所在院系：控制与计算机工程学院

研究方向（Focus Area）：

Ø 人工智能 Artificial Intelligence

Ø 统计机器学习 Statistic Machine Learning 等

联系方式

电子邮箱：jing.teng@ncepu.edu.cn

个人简介及主要荣誉称号：

滕婧，女，1981年2月生。 2003年在中南大学电子信息工程专业获得学士，2009年11月在法国特鲁瓦理工大学获得系统优化及安全专业博士学位。2016年被聘为副教授。IEEE Member（2009-）。2016-2017年美国范德堡大学访问学者。

主要从事统计机器学习方面的研究工作，先后负责国家自然科学基金1项、参与国家自然科学基金3项，主持教育部博士点基金1项，主持中央高校重点项目1项，主持多项中央高校项目以及横向课题。出版中英文专著3部、发表SCI和EI收录论文30余篇。 其中第一作者 20 余篇，在《IEEE Transactions on Mobile Computing》、《IEEE Transactions on Vehicular Technology》等顶级期刊发表论文，总引用次数逾300余次(数据源自 Google Scholar); 申请相关专利 10 余项，担任多个国内国际顶级期刊包括《IEEE Transactions on Information Theory》、《IEEE Transactions on Industrial Electronics》、《IEEE Transactions on Signal Processing》、《IEEE Transactions on Mobile Computing》、《IEEE Transactions on Vehicular Technology》《IEEE Transactions on Parallel and Distributed Systems》、《Wireless Communications and Mobile Computing》、《自动化学报》等的审稿人。

教学与人才培养情况:

1.教学课程：

• 信息论与编码（B），2012年-，40学时，信息安全专业本科生

• 高级语言程序设计（C）（英文授课），2011年-，56学时，本科留学生

• 专业英语，2012年-，16学时，计算机专业硕士研究生

• 机器学习（英文授课），2018年-，32学时，计算机、自动化专业硕士留学生

• 智能信息处理，2019年-，32学时，智能科学与技术专业、本科实验班

2.学生培养

毕业硕士：

主要科研项目情况

[1] 国家自然科学基金面上项目，61871181，基于多相流输运机理的过程层析成像方法，2019/01-2022/12，78万元，第一参与人；

[2] 国家自然科学基金青年项目，61503137，基于无线传感器网络的风电场在线监测和动态风速预测，2016/01-2018/12，25.2万元，结题，主持;

[3] 教育部博士点基金新教师类项目，20130036120003、基于变分贝叶斯方法的无线传感器网络信息融合处理用于输电线路的在线监测研究，2014/01-2016/12，4万元，结题， 主持；

[4] 中央高校基金重点项目，基于无线传感器网络的动态风速场重建研究，2014/01-2016/12，57万元，结题，主持

[5] 中央高校基金面上项目，基于最小二乘支持向量机的风速组合预测研究，2017/01-2019/10，8万元，结题，主持

[6] 中央高校基金青年项目，基于无线传感器网络的输电线路在线监测研究，2012/01-2013/12，4万元，结题，主持

[7] 横向项目，电子招标投标平台在线支付系统开发，35万元，结题，主持

主要获奖

[1] 华北电力大学，科技工作先进个人

[2] 华北电力大学，优秀班主任

代表性论著

[1] TENG, J., SNOUSSI, H., and RICHARD, C., Decentralized Variational Filtering for Target Tracking in Binary Sensor Networks, IEEE Transactions on Mobile Computing, Vol. 9(10), pp: 1465-1477, 2010, [Citations: 78]

[2] TENG, J., SNOUSSI, H., RICHARD, C., and ZHOU R., Distributed Variational Filtering for Simultaneous Sensor Localization and Target Tracking in Wireless Sensor Networks, IEEE Transactions on Vehicular Technology, Vol. 61(5), pp: 2305-2318, 2012, [Citations: 73]

[3] TENG, J., Abdygametova, A., DU, J., MA, B., ZHOU, R., Shyr, Y., and YE, F., Bayesian Inference of Lymph Node Ratio Estimation and Survival Prognosis for Breast Cancer Patients, IEEE Journal of Biomedical and Health Informatics, 2019, Early Access online, DOI: 10.1109/JBHI.2019.2943401

[4] TENG,J.,SNOUSSI,H.,andRICHARD,C.,Collaborativemulti-targettracking in wireless sensor networks, International Journal of Systems Science, Vol. 42(9), pp: 1427-1443, 2011, [Citations: 15]

[5] TENG, J., SNOUSSI, H., and RICHARD,C., Prediction-based Cluster Management for Target Tracking in Wireless Sensor Networks, Wireless Communications & Mobile Computing, Vol. 12(9), pp: 797-812, 2012, [Citations: 16]

[6] ZHOU, R. and TENG, J., An Improved Resampling Algorithm for Particle Filtering in Small Target Tracking, Journal of Coastal Research, Vol. 73, pp: 600-605, 2015[Citations: 7]

[7] ZHANG, Y., HUANG, H.K., HE, H., TENG, J., and WANG, Z., Efficient distributed semantic based data and service unified discovery with one- dimensional semantic space, Journal of Network and Computer Applications, Vol. 49, pp: 78-87, 2015[Citations: 5]

[8] Ye Fei, Sheng Quanhu, Irene D. Feurer, ZhaoZhiguo, FanRun, TENG, J., Ping Jie, Scott A. Rega, Douglas W. Hanto, Shyr Yu, Seth J. Karp, Directed solutions to address differences in access to liver transplantation, American Journal of Transplantation, Vol 18(11), pp:2670-2678, 2018[Citations: 4]

[9] ZHANG, Y.,TENG, J., HE,H. and WANG,Z. , On P2P-Based Semantic Service Discovery with QoS Measurements for Pervasive Services in the Universal Network, Journal of Computers, Vol. 9(8), pp: 1914-1921, 2014.

[10] ZHOU, R., LIU, B., and TENG, J., Improved Resampling Particle Filter for Maneuvering Point Target Tracking, Journal of Applied Science, Vol. 13(11), pp: 2045-2050, 2013 [Citations: 4]

著作

[1] 周蓉，滕婧，张莹，等译，新能源发电过程的动态建模、仿真和控制，机械工业出版社，2018年

[2] MANSOURI, M., SNOUSSI, H., TENG, J., ILHAM, O. and RICHARD, C., Visual Information Processing in Wireless Sensor Networks: Technology, Trends, and Applications (Chapter 11 Quantized Variational Filtering for Bayesian Inference in Wireless Sensor Networks), Published in the United States of America by Information Science Reference (an imprint of IGI Global), 2012.

[3] 徐磊，滕婧，张莹，何慧 译，Windows Sockets 网络编程，机械工业出版社，2012年

会议论文

[1] TENG, J., SNOUSSI, H., and RICHARD, C., Binary variational filtering for target tracking in sensor networks, IEEE Statistical Signal Processing Workshop (SSP2007), 26-29 August 2007, Madison, U.S.A, [Citations: 58]

[2] TENG, J., SNOUSSI, H., and RICHARD, C., Prediction-based proactive cluster target tracking protocol for binary sensor network. 7thIEEE International Symposium on Signal Processing and Information Technology (ISSPIT2007), 15- 18 December, 2007, Cairo, Egypt, [Citations: 24]

[3] TENG,J.,SNOUSSI,H.,andRICHARD,C.,Decentralizedvariationalfiltering for simultaneous sensor localization and target tracking in binary sensor networks, International Conference on Acoustics, Speech and Signal Processing (ICASSP2009), pp: 2233-2236, 19-24 April, Taipei, [Citations: 12]

[4] TENG, J., ZHOU, R., and ZHANG, Y., Cooperative Simultaneous Localization and Tracking for Mobile Ad-hoc Sensor Networks, European Signal Processing Conference (EUSIPCO2015), 31 August-4 September, Nice, France. [Citations: 3]

[5] Qiao, M., Wang, T., Dong, Y., Shi, J., TENG, J., Snoussi, H., Real time Object Tracking based on Local Texture Feature with Correlation Filter, 2016 IEEE International Conference on Digital Signal Processing (DSP), 482-486. [Citations: 3]

[6] ZHANG, Y., TENG, J. and HE, H., Chord-based Semantic Service Discovery with QoS, 5th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA2013), pp: 365-367, 16-17 Jan. 2013, Hong Kong, China.

[7] ZHOU, R., TENG, J. and LIU, B., Morphology based Particle Filtering Algorithm for Point Target Tracking, 25th Chinese Control and Decision Conference (CCDC2013), pp: 3760-3764, 25-27 May 2013, Guiyang, China.

[8] ZHOU,J.,GU,L.,andTENG,J.,AnIce-CoatingPredictSystemofTransmission Lines Based on the Improved Neural Network. IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS2010), pp: 831-834, 29-31 Oct. 2010, Xiamen, China.

[9] TENG, J., SNOUSSI, H., RICHARD, C. and ZHOU, Y., Hybrid Probabilistic Data Association and Variational Filtering for Multi-Target Tracking in Wireless Sensor Networks. 3rd International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP2009), pp: 368-371, 13-16 December 2009, Aruba, Dutch Antilles. [Citations: 2]

[10] ZHOU, Y., SNOUSSI, H., RICHARD, C. and TENG, J., Fragment-based Variational Visual Tracking. 3rdInternational Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP2009), pp: 376-379, 13- 16 December 2009, Aruba, Dutch Antilles.

[11] TENG, J., SNOUSSI, H., and RICHARD, C., Auto-localisation et suivi de cible simultanés dans les réseaux de capteurs sans fil, Le colloque Gretsi 2009, 8- 11September, 2009, Dijon, France.

[12] TENG, J., SNOUSSI, H., and RICHARD, C., Variational filtering algorithm for interdependent target tracking and sensor localization in wireless sensor network, 16th European Signal Processing Conference (EUSIPCO2008), 25-29 August, 2008, Lausanne, Switzerland.