博士、硕士（达姆施塔特工业大学）

学士（上海交通大学）

尹峰于2008年在上海交通大学电子信息工程专业获得本科学位，并于2011年和2014在德国达姆施塔特工业大学电子信息工程专业分别获得硕士和博士学位。在2013年，他获得国家优秀自费留学生奖学金（每年全球500名）。在2014年，他获得了欧盟玛丽居里青年学者称号，在瑞典爱立信研发部负责人工智能与5G系统融合项目。尹峰博士的主要研究方向为统计信号处理、贝叶斯机器学习、与传感器信息融合。他于2016年6月全职加入香港中文大学（深圳）理工学院，目前任职助理教授。他已主持和参与了多个国家、省、市科技项目，其中包括主持和参与国家自然科学基金各级项目（重大专项、重点项目、面上项目、青年项目）、省级团队、广东省重点实验室、深圳市重点实验室等；此外，他还与华为公司在人工智能驱动的智能系统等前沿方向上保持密切合作，已出色完成多个项目，获得2022年度华为公司价值火花奖。截止目前，他已发表国际顶级期刊长文40余篇（包括IEEE Signal Processing Magazine, IEEE Transactions on Signal Processing 10余篇），旗舰会议论文50余篇（包括ICML, ICLR, AAAI, UAI, ICASSP等顶级会议正刊论文），申请/授权中国专利20余项，另有授权美国专利1项，南非专利1项。 他目前是IEEE Senior Member，IEEE机器学习与信号处理技术委员会(SPS MLSP TC)核心成员，自2019年以来担任爱思唯尔出版社旗下的信号处理期刊(JCR-Q1)副主编，自2023年以来担任信号处理顶级期刊IEEE Transactions on Signal Processing (JCR-Q1)副主编。

1. L. Cheng, Feng Yin (Co-first author, equal contribution, Corresponding author), Sergios Theodoridis, Tsung-Hui Chang, “Rethinking Bayesian Learning for Data Analysis: The Art of Prior and Inference in Sparsity-Aware Modeling”,  IEEE Signal Processing Magazine, vol. 39, no. 6, pp. 18-52, Nov. 2022. (ESI-Highly Cited Article, ESI-Hot Article)
2. Y. Li, Z. Lin, Feng Yin (Corresponding Author), M. M. Zhang, “Preventing Model Collapse in Gaussian Process Latent Variable Models”, accepted by International Conference on Machine Learning (ICML)-2024, Vienna Austria, July 2024. pp.1-31.
3. Y. Dai, W. Yan, Feng Yin (Corresponding author), “Graphical Multioutput Gaussian Process with Attention”, accepted by International Conference on Learning Representations (ICLR)-2024 Spotlight (~ top 5%), Vienna Austria, May 2024.
4. T. Zhang, Feng Yin (Corresponding author), Z.-Q. Luo, “Fast Generic Interaction Detection for Model Interpretability and Compression”, in Proc. International Conference on Learning Representations (ICLR), April 2022.
5. J. Gao, D. Wu, Feng Yin (Corresponding author), Q. Kong, L. Xu and S. Cui, “MetaLoc: Learning to Learn Wireless Localization”, IEEE Journal on Selected Areas in Communications, vol. 41, no. 12, pp. 3831-3847, Dec. 2023. (ESI-Highly Cited Article, ESI-Hot Article)
6. Y. Xu, Feng Yin (Corresponding author), W. Xu, J. Lin and S. Cui, “Wireless Traffic Prediction with Scalable Gaussian Process: Framework, Algorithms, and Verification”, IEEE Journal on Selected Areas in Communications, vol. 37, no. 6, pp. 1291-1306, June 2019.
7. Feng Yin, Z.Lin, Q.Kong, Y.Xu, D.Li, S.Theodoridis, S.Cui,“FedLoc: Federated Learning Framework for Data-Driven Cooperative Localization and Location Data Processing”, (long tutorial paper), IEEE Open Journal of Signal Processing, vol. 1, pp. 187-215, November 2020.
8. Feng Yin and F. Gunnarsson, “Distributed Recursive Gaussian Processes for RSS Map Applied to Target Tracking”, IEEE Journal of Selected Topic in Signal Processing, vol. 11, issue 3, pp.492-503, April 2017.
9. Z. Lin, Y. Sun, Feng Yin (Corresponding Author) and A. H. Thiery, “Ensemble Kalman Filtering Meets Gaussian Process SSM for Non-Mean-Field and Online Inference”, IEEE Transactions on Signal Processing, October 2024, doi: 10.1109/TSP.2024.3448291. 
10. M. Zhang, Z. Wang, Feng Yin, and X. Shen, "Distributed Scaled Proximal ADMM Algorithms for Cooperative Localization in WSNs”, IEEE Transactions on Signal Processing, vol. 71, pp. 33123327, September 2023.
11. D. Jin, Feng Yin (Corresponding Author), A. M. Zoubir and H. C. So, "Exploiting Sparsity of Ranging Biases for NLOS Mitigation”, IEEE Transactions on Signal Processing, vol. 69, pp. 3782-3795, 2021.
12. Feng Yin, L. Pan, T. Chen, S. Theodoridis, Z.-Q. Luo “Linear Multiple Low-Rank Kernel based Stationary Gaussian Processes Regression for Time Series”, IEEE Transactions on Signal Processing, vol. 68, pp. 5260-5275, October 2020.
13. D. Jin, Feng Yin (Corresponding Author), C. Fritsche, A. M. Zoubir, F. Gustafsson, "Bayesian Cooperative Localization Using Received-Signal-Strength with Unknown Path Loss Exponent: Message Passing Approaches”, IEEE Transactions on Signal Processing, Vol.68, pp.1120-1135, December 2019.
14. Y. Zhao, C. Fritsche, G. Hendeby, Feng Yin (Corresponding Author), F. Gunnarsson, "Cramer-Rao Bounds for Filtering based on Gaussian Process State-Space Models”,  IEEE Transactions on Signal Processing, vol. 67, issue 23, pp. 1197-1899, December 2019.
15. Feng Yin, Y. Zhao, F. Gunnarsson, F. Gustafsson, "Received-Signal-Strength Threshold Optimization Using Gaussian Processes”, IEEE Transactions on Signal Processing, vol. 65, no.8, pp. 2164-2177, April 2017.
16. Feng Yin, C. Fritsche, F. Gustafsson and A. M. Zoubir, "Cooperative Localization in WSNs Using Gaussian Mixture Modeling: Distributed ECM algorithms”, IEEE Transactions on Signal Processing, vol.63, no.6, pp. 1448-1463, March 2015.
17. Feng Yin, C. Fritsche, F. Gustafsson and A. M. Zoubir, “Cooperative Localization in WSNs Using Gaussian Mixture Modeling: Distributed ECM algorithms”, IEEE Transactions on Signal Processing, vol.63, no.6, pp. 1448-1463, March 2015.
18. Feng Yin, C. Fritsche, F. Gustafsson and A. M. Zoubir, "EM- and JMAP-ML Based Joint Estimation Algorithms for Robust Geolocation in LOS/NLOS Environment”, IEEE Transactions on Signal Processing, vol.62, no.1, pp. 168-182, January 2014.
19. Feng Yin, C. Fritsche, F. Gustafsson and A. M. Zoubir, “TOA Based Robust Wireless Geolocation and Cramér-Rao Lower Bound Analysis in Harsh LOS/NLOS Environments”, IEEE Transactions on Signal Processing, vol. 61, no. 9, pp. 2243-2255, May 2013.
20. Feng Yin, C. Debes and A. M. Zoubir, "Parametric Waveform Design using Discrete Prolate Spheroidal Sequences for Enhanced Detection of Extended Targets”, IEEE Transactions on Signal Processing, vol. 60, no. 9, pp. 4525-4536, September 2012.