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尹峰

职位:

深圳市大数据研究院,研究助理教授

教育背景:

博士,硕士(德国达姆斯塔特工业大学)

学士(上海交通大学)


研究领域

统计信号处理(侧重估计理论);机器学习(侧重高斯过程);传感器数据融合(分布式信息传递);室内定位与追踪的应用;无线传感器网络应用

Email

yinfeng@cuhk.edu.cn

个人简介

    尹峰在上海交通大学攻读电子信息工程专业并于2008年获得本科学位。本科毕业之后,他来到德国达姆斯塔特工业大学继续攻读电子信息工程,并于2011年和2014年分别获得硕士和博士学位。在攻读博士学位期间,他获得了国家优秀自费留学生奖学金。在2014年,他从欧盟获得了玛丽居里学者奖学金。博士毕业后,他加入了瑞典爱立信研发部。他的主要研究方向为统计信号处理,数据融合,和机器学习。尹峰于2016年6月加入香港中文大学(深圳)和深圳市大数据研究院。



学术著作

1. Feng Yin, Fredrik Gunnarsson, Fredrik Gustafsson, “Received-Signal-Strength Threshold Optimization Using Gaussian Processes”, IEEE Trans. Signal Process., to be published, 2016.

2. Feng Yin, Carsten Fritsche, Fredrik Gustafsson and Abdelhak M. Zoubir, “Cooperative Localization in WSNs Using Gaussian Mixture Modeling: Distributed ECM algorithms”, IEEE Trans. Signal Process., vol.63, no.6, pp. 1448–1463, March 2015.

3. Feng Yin, Carsten Fritsche, Fredrik Gustafsson and Abdelhak M. Zoubir, “EM- and JMAP-ML Based Joint Estimation Algorithms for Robust Geolocation in LOS/NLOS Environment”, IEEE Trans. Signal Process., vol.62, no.1, pp. 168–182, Jan. 2014.

4. Feng Yin, Carsten Fritsche, Fredrik Gustafsson and Abdelhak M. Zoubir, “TOA Based Robust Wireless Geolocation and Cramer-Rao Lower Bound Analysis in Harsh LOS/NLOS Environments”, IEEE Trans. Signal Process., vol. 61, no. 9, pp. 2243–2255, May 2013.

5. Feng Yin, Christian Debes and Abdelhak M. Zoubir, “Parametric Waveform Design using Discrete Prolate Spheroidal Sequences for Enhanced Detection of Extended Targets”, IEEE Trans. Signal Process. vol. 60, no. 9, pp. 4525–4536, Sep. 2012.

6. Yuxin Zhao, Feng Yin, and Fredrik Gunnarsson, Fredrik Hultkratz, and Johan Fagerlind, “Gaussian Processes for Flow Modeling and Prediction of Positioned Trajectories Evaluated with Sports Data”, in proc. Int. Conf. on Information Fusion, Heidelberg, Germany, 2016.

7. Feng Yin, Yuxin Zhao, and Fredrik Gunnarsson, “Fundamental Bounds on Position Estimation Using Proximity Reports”, in proc. IEEE Int. Conf. VTC-spring, NanJing, 2016.

8. Yuxin Zhao, Feng Yin, and Fredrik Gunnarsson, “Gaussian Process for Proximity Reports Based Particle Filtering”, in proc. IEEE Int. Conf. VTC-spring, NanJing, 2016.

9. Di Jin, Feng Yin, Carsten Fritsche, Abdelhak M. Zoubir, and Fredrik Gustafsson, “Cooperative Localization Based on Severely Quantized RSS Measurements in Wireless Sensor Network”, accepted by IEEE Int. Conf. Acoustics, Speech and Signal Processing (ICASSP), Shanghai, 2016.

10. Feng Yin, Yuxin Zhao, and Fredrik Gunnarsson, “Proximity Report Triggering Threshold Optimization for Network-Based Indoor Positioning”, in Proc. Int. Conf. on Information Fusion, Washington D.C.,USA, pp. 1061–1069, July 2015.

11. Yuxin Zhao, Feng Yin, and Fredrik Gunnarsson, “Particle Filtering for Positioning Based on Proximity Reports”, in Proc. Int. Conf. on Information Fusion, Washington D.C., USA, pp. 1046–1052, July 2015.

12. Di Jin, Feng Yin, Carsten Fritsche, Abdelhak M. Zoubir and Fredrik Gustafsson, “Dithering in Quantized RSS Based Localization”, in Proc. IEEE Int. Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Cancun, Mexico, pp. 245-248, Dec. 2015.

13. Di Jin, Feng Yin, Carsten Fritsche, Abdelhak M. Zoubir and Fredrik Gustafsson, “Efficient Cooperative Localization Algorithm in LOS/NLOS Environments”, in Proc. Eur. Signal Process. Conf. (EUSIPCO), Nice, France, pp. 185–189, Sep. 2015.

14. Feng Yin, Carsten Fritsche, Fredrik Gustafsson and Abdelhak M. Zoubir, “RSS-Based Sensor Network Localization in Contaminated Gaussian Measurement Noise”, in Proc. IEEE Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Saint Martin, pp. 121–124, July 2013.

15. Feng Yin, Carsten Fritsche, Fredrik Gustafsson and Abdelhak M. Zoubir, “Received Signal Strength-Based Joint Parameter Estimation Algorithm for Robust Geolocation in LOS/NLOS Environments”, in Proc. IEEE Int. Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Darmstadt, Germany, pp. 500–504. June 2013.

16. Feng Yin, Carsten Fritsche, Fredrik Gustafsson and Abdelhak M. Zoubir, “Received Signal Strength-Based Joint Parameter Estimation Algorithm for Robust Geolocation in LOS/NLOS Environments”, in Proc. IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP), Vancouver, Canada, pp. 6471–6475, May 2013.

17. Feng Yin and Abdelhak M. Zoubir, “Robust Positioning in NLOS Environments using Nonparametric Adaptive Kernel Density Estimation”, in Proc. IEEE Int. Conf. Acoustics, Speech and Signal Processing (ICASSP), Kyoto, Japan, pp. 3517–3520, Mar. 2012.


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        数据科学理学硕士项目由香港中文大学(深圳)理工学院与经管学院共同开设,并与深圳市大数据研究院和深圳市高等金融研究院合作,来自两所学院及研究院的优秀师资将共同担任项目授课教师。

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