XIAOJUN YUAN

XIAOJUN YUAN 

Professor,
Centre for Intelligent Networking and Communications,
University of Electronic Science and Technology of China (UESTC)
2006 Xiyuan Avenue, Gaoxin District
Chengdu, Sichuan 611731, China
TEL: +86-028-61830884
FAX: +86-028-61830283
EMAIL: xjyuan@uestc.edu.cn

RESEARCH INTERESTS

My research interest is in the general areas of statistical signal processing, wireless communications, and machine learning, including but not limited to

  • Bayesian learning

  • Compressed sensing

  • Intelligent communications

  • Network information theory.

Students with relevant backgrounds and mathematical skills are welcome to apply for graduate, doctoral and postdoctoral programs.

PUBLICATIONS

Refereed Journal Publications

  1. Xiaojun Yuan, Ying-Jun Zhang, Yuanming Shi, Wenjing Yan, Hang Liu, "Reconfigurable-intelligent-surface empowered wireless communications: Challenges and opportunities," submitted to IEEE Wireless Communications Magzine. [arxiv]

  2. Hang Liu, Xiaojun Yuan*, Ying-Jun (Angela) Zhang, "Matrix-calibration-based cascaded channel estimation for reconfigurable intelligent surface assisted multiuser MIMO," to appear at IEEE J. Sel. Areas Commun. [arxiv]

  3. Shuchao Jiang, Xiaojun Yuan, Xin Wang, Chongbin Xu, and Wei Yu, "Joint user identification, channel estimation, and signal detection for grant-free NOMA," to appear at IEEE Trans. Wireless Commun.

  4. Hang Liu, Xiaojun Yuan*, and Ying Jun (Angela) Zhang, "Statistical beamforming for FDD downlink massive MIMO via spatial information extraction and beam selection," to appear at IEEE Trans. Wireless Commun.

  5. Bin Duo, Qingqing Wu, Xiaojun Yuan, and Rui Zhang, "Energy efficiency maximization for full-duplex UAV secrecy communication," IEEE Trans. Veh. Tech., vol. 69, no. 4, pp. 4590-4595, April 2020.

  6. Tao Huang, Xiaojun Yuan, Jinhong Yuan, and Wei Xiang, "Optimization of data exchange in 5G vehicle-to-infrastructure edge networks," to appear in IEEE Trans. Veh. Tech.

  7. M. Zhang, X. Yuan, and Z.-Q. He, “Variance State Propagation for Structured Sparse Bayesian Learning,” IEEE TRANSACTIONS ON SIGNAL PROCESSING, vol. 68, pp. 2386–2400, 2020,[html] [code]

  8. Junjie Ma, Xiaojun Yuan*, and Li Ping, "Turbo compressed sensing with partial DFT sensing matrix," IEEE Signal Processing Letters, vol. 22, no. 2, pp. 158-161, Feb. 2015. [code]

  9. Hang Liu, Xiaojun Yuan, and Ying Jun Zhang. “Matrix-calibration-based cascaded channel estimation for reconfigurable intelligent surface assisted multiuser MIMO,” IEEE Journal on Selected Areas in Communications, 2020,[code]

  10. Z. Xue, X. Yuan and Y. Yang, “Turbo-Type Message Passing Algorithms for Compressed Robust Principal Component Analysis,” in IEEE Journal of Selected Topics in Signal Processing, vol. 12, no. 6, pp. 1182-1196, Dec. 2018. [code]

  11. Wenjing Yan, Xiaojun Yuan, Zhen-Qing He, and Xiaoyan Kuai, "Passive beamforming and information transfer design for large intelligent surface aided multiuser MIMO systems," to appear at IEEE J. Sel. Areas Commun.

  12. W. Yan, X. Yuan, Z. -Q. He and X. Kuai, “Passive Beamforming and Information Transfer Design for Reconfigurable Intelligent Surfaces Aided Multiuser MIMO Systems,” in IEEE Journal on Selected Areas in Communications, vol. 38, no. 8, pp. 1793-1808, Aug. 2020 [code]

  13. W. Yan, X. Yuan and X. Kuai, “Passive Beamforming and Information Transfer via Large Intelligent Surface,” IEEE Wireless Communications Letters, vol. 9, no. 4, pp. 533-537, Apr. 2020 [code]

  14. Wenjing Yan and Xiaojun Yuan*, "Semi-blind channel-and-signal estimation for uplink massive MIMO with channel sparsity," IEEE Access, vol. 7, no. 1, pp. 95008-95020, Dec. 2019. [code]

  15. T. Ding, X. Yuan and S. C. Liew, “Sparsity Learning-Based Multiuser Detection in Grant-Free Massive-Device Multiple Access,” in IEEE Transactions on Wireless Communications, vol. 18, no. 7, pp. 3569-3582, July 2019. [code]

More.

Refereed Conference Publications

  1. Jiaqi Shi, Qianqian Zhang, Ying-Chang Liang, and Xiaojun Yuan, "Distributed deep learning power allocation for D2D network based on outdated information," Proc. IEEE Wireless Communications and Networking Conference (IEEE WCNC 2020), Seoul, South Korea, 6-9 April 2020.

  2. Xiaoyan Kuai, Xiaojun Yuan, and Wenjing Yan, "Blind detection in coexistence of human-type and machine-type communications," Proc. IEEE International Conference on Communication Technology (IEEE ICCT 2019), Xi??an, China, Oct. 16-19, 2019.

  3. Xuehai He, Zhipeng Xue, and Xiaojun Yuan, "Learned turbo-type affine rank minimization," Proc. 2019 11th International Conference on Wireless Communications and Signal Processing (WCSP 2019), Xi??an, China, Oct. 2019.

  4. Shuchao Jiang, Xiaojun Yuan, Xin Wang, and Chongbin Xu, "Joint user identification, channel estimation, and signal detection for grant-free NOMA," Proc. IEEE Global Communications Conference (GLOBECOM 2019), Waikoloa, HI, USA, Dec. 9-13, 2019.

  5. Hang Liu, Xiaojun Yuan, and Ying Jun (Angela) Zhang, "Beam-selection-based statistical beamforming for FDD massive MIMO: Exploiting spatial reciprocity," Proc. IEEE Global Communications Conference (GLOBECOM 2019), Waikoloa, HI, USA, Dec. 9-13, 2019.

  6. Kunlun Wang, Yong Zhou, Yang Yang, Xiaojun Yuan, and Xiliang Luo, "Task offloading in NOMA-based fog computing networks: A deep Q-learning approach," Proc. IEEE Global Communications Conference (GLOBECOM 2019), Waikoloa, HI, USA, Dec. 9-13, 2019.

  7. Zhipeng Xue, Xiaojun Yuan, and Junjie Ma, "TARM: A turbo-type algorithm for affine rank minimization,” in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2018), Calgary, Canada, April 15-20, 2018. [code]

More.