尹峰

助理教授

校长青年学者、国际电气及电子工程师学会高级会员
教育背景

博士、硕士(达姆斯塔特工业大学)

学士(上海交通大学)

研究领域
贝叶斯机器学习及优化;统计信号处理;传感器融合;通感一体化系统
学术领域
计算机工程,人工智能与机器人,电子工程
个人网站
电子邮件
yinfeng@cuhk.edu.cn
个人简介

尹峰本科毕业于上海交通大学,之后获得德国达姆施塔特工业大学电子信息工程专业的硕士和博士学位。他曾获得2013年度国家自费留学生奖学金(每年全球500人)以及2014年度欧盟玛丽居里青年学者称号。尹峰博士的研究方向为贝叶斯机器学习与优化、统计信号处理、数据融合以及通感一体化系统。他曾在2014-2016年任职于瑞典爱立信研发部探索基于机器学习的新一代无线系统;之后于2016年6月全职回国加入香港中文大学(深圳)目前任职助理教授,校长青年学者,同时也是深圳市大数据研究院的客座研究科学家。他主持和参与了多项国家、省市级科技项目。截止2022年,他已经发表高水平期刊长文30余篇、国际旗舰会议论文40余篇、授权中国和美国专利近20项。他曾获得CAMSAP-2013国际会议最佳论文奖的最终候选,ICSINC-2022国际会议最佳论文奖,2022年度华为创新火花奖。尹峰博士自2018年以来担任JCR一区期刊《信号处理》的副主编;他目前是IEEE高级会员。

学术著作
  1. L. Cheng, Feng Yin (co-first author, equal contribution), Sergios Theodoridis, Tsung-Hui Chang, “Rethinking Bayesian Learning for Data Analysis: The Art of Prior and Inference in Sparsity-Aware Modeling”, in IEEE Signal Processing Magazine, vol. 39, no. 6, pp. 18-52, Nov. 2022.
  2. T. Zhang, Feng Yin, Z.-Q. Luo, “Fast Generic Interaction Detection for Model Interpretability and Compression”, in Proc. International Conference on Learning Representations (ICLR), 2022.
  3. K. Chen, Feng Yin, L. Xu, S. Cui, “Recent Advances in Data-Driven Wireless Communication using Gaussian Processes: A Comprehensive Survey”, cover page feature article in China Communications, vol. 19, no. 1, pp. 218-237, January 2022.
  4. Q. Kong, Feng Yin, R. Lu, S. Cui, P. Zhang, “Privacy-Preserving Aggregation for Federated Learning-Based Navigation in Vehicular Fog”, in IEEE Transactions on Industrial Informatics, vol. 17, no. 12, pp. 8453-8463, December 2021.
  5. D. Jin, Feng Yin, A. M. Zoubir and H. C. So, “Exploiting Sparsity of Ranging Biases for NLOS Mitigation,” in IEEE Transactions on Signal Processing, vol. 69, pp. 3782-3795, 2021.
  6. Q. Kong, R. Lu, Feng Yin and S. Cui, “Blockchain-Based Privacy-Preserving Driver Monitoring for MaaS in the Vehicular IoT,” in IEEE Transactions on Vehicular Technology, vol. 70, no. 4, pp. 3788-3799, April 2021.
  7. W. Huang, Feng Yin, H. Chen, D. Li, “Collaborating Ray Tracing and AI Model for AUV-Assisted 3-D Underwater Sound-Speed Inversion,” in IEEE Journal of Oceanic Engineering, vol. 46, no. 4, pp. 1372-1390, October 2021.
  8. Y. Xu, Feng Yin, W. Xu, C.-H. Lee, S. Cui, “Scalable Learning Paradigms for Data-Driven Wireless Communication”, in IEEE Communications Magazine, vol. 58, no. 10, pp. 81-87, November 2020.
  9. Feng Yin, D. Li, S. Theodoridis, S. Cui, “FedLoc: Federated Learning Framework for Data-Driven Cooperative Localization and Location Data Processing”, in IEEE Open Journal of Signal Processing, vol. 1, pp. 187-215, November 2020.
  10. Feng Yin, L. Pan, T. Chen, S. Theodoridis, Z.-Q. Luo “Linear Multiple Low-Rank Kernel based Stationary Gaussian Processes Regression for Time Series”, in IEEE Transactions on Signal Processing, vol. 68, pp. 5260-5275, October 2020.
  11. D. Jin, Feng Yin, 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.
  12. Y. Xu, Feng Yin, W. Xu, J. Lin, S. Cui, “Wireless Traffic Prediction with Scalable Gaussian Process: Framework, Algorithms, and Verification”, IEEE Journal on Selected Areas in Communications (Special Issue: Artificial Intelligence and Machine Learning for Networking and Communications), vol.37, issue 6, pp.1291-1306, March 2019.
  13. Y. Zhao, Feng Yin, C. Fritsche, T. Chen, F. Gustafsson, “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.
  14. A. Xie, Feng Yin, Bo Ai, Shuguang Cui, “Distributed Gaussian Process Hyper-Parameter Optimization for Big Data Using Proximal ADMM”, IEEE Signal Processing Letters, vol. 26, issue 8, pp. 1197-1201, September 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, Fredrik Gunnarsson, Fredrik Gustafsson, “Received-Signal-Strength Threshold Optimization Using Gaussian Processes”, IEEE Trans. Signal Process., to be published, 2016.
  17. 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.
  18. 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.
  19. 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.
  20. 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.