廉黎祥
助理教授、研究员
博士毕业院校:中国香港科技大学
电话:(021) 20684441
办公室:信息学院1A-404C室
个人主页:
招聘主页:
研究领域
个人简历
代表性论文

研究方向

  • 无线通信,信号处理,人工智能,机器学习

主要研究内容


  • 6G 无线通信关键技术研究

  • 无线通信与人工智能融合的智能通信技术研究,包括基于机器学习的大规模信号处理与优化、智能网络优化与资源管理、边缘人工智能、物联网等

  • 基础理论研究,包括高维数据处理与分析、高维统计、优化算法、机器学习等


个人简历

廉黎祥在浙江大学信息与电子工程学系获得学士学位,在香港科技大学获得电子与计算机工程博士学位。之后她加入上海科技大学信息科学与技术学院担任助理教授、研究员、博导。她的主要研究方向为高维数据处理与分析、优化算法设计、高维统计、机器学习等及其在6G无线通信、物联网、自动驾驶中的应用。


代表性论文

  1. L. Lian and V. K. N. Lau, ”Configuration Optimization and Channel Estimation in HybridBeamforming mmWave Systems with Channel Support Side Information,” in IEEE Transactions on Signal Processing, vol. 68, pp. 6026-6039, 2020.

  2. L. Lian and V. K. N. Lau, ”Compressive Channel Estimation in mmWave Systems withFlexible Hybrid Beamforming Architecture,”2020 IEEE International Conferenceon Communications(ICC).

  3. A. Liu, G. Liu, L. Lian, V. Lau and M. Zhao, ”Robust Recovery of Structured Sparse Signalswith Uncertain Sensing Matrix: A Turbo-VBI Approach,” in IEEE Transactions on WirelessCommunications,2020.

  4. A. Liu, L. Lian, V. Lau, G. Liu and M. Zhao, ”Cloud-Assisted Cooperative Localization forVehicle Platoons: A Turbo Approach,” in IEEE Transactions on Signal Processing, vol. 68, pp.605-620, 2020.

  5. G. Liu, A. Liu, L. Lian, V. Lau and M. Zhao, ”Sparse Bayesian Inference Based Direct Localizationfor Massive MIMO,” 2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall),Honolulu, HI, USA, 2019, pp. 1-5.

  6. L. Lian, A. Liu and V. K. N. Lau, ”User Location Tracking in Massive MIMO Systems viaDynamic Variational Bayesian Inference,” in IEEE Transactions on Signal Processing, vol. 67,no. 21, pp. 5628-5642, 1 Nov.1, 2019.

  7. L. Lian, A. Liu and V. K. N. Lau, ”Exploiting Dynamic Sparsity for Downlink FDD-MassiveMIMO Channel Tracking,” in IEEE Transactions on Signal Processing, vol. 67, no. 8, pp. 2007-2021, 15 April15, 2019.

  8. L. Lian, A. Liu and V. K. N. Lau, ”Weighted LASSO for Sparse Recovery With StatisticalPrior Support Information,” in IEEE Transactions on Signal Processing, vol. 66, no. 6, pp.1607-1618, 15 March15, 2018.

  9. A. Liu, L. Lian, and V. K. N. Lau, ”Downlink Channel Estimation in Multiuser MassiveMIMO With Hidden Markovian Sparsity,” in IEEE Transactions on Signal Processing, vol. 66,  no. 18, pp. 4796-4810, 15 Sept.15, 2018.

  10. L. Lian, A. Liu and V. K. N. Lau, ”Optimal-Tuned Weighted LASSO for Massive MIMO ChannelEstimation with Limited RF Chains,” GLOBECOM 2017 - 2017 IEEE Global CommunicationsConference, Singapore, 2017, pp. 1-6.

  11. A. Liu, V. Lau, M. L. Honig and L. Lian, ”Compressive RF training and channel estimationin massive MIMO with limited RF chains,” 2017 IEEE International Conference on Communications(ICC), Paris, 2017, pp. 1-6.