Lixiang LIAN 廉黎祥
 |
Assistant Professor
|
Research
My research interests include
Wireless Communication
Artificial Intelligence
Compressive Sensing
Machine Learning
Current Openings
Postdoc researchers
Postgraduate students (both master students and doctoral students)
Visiting students
Research assistant
Please contact me for more details. [My requirements on my postgraduate students.]
Recent Publications
S. Ji, L. Lian, Y. Zheng, et al., “MuSAC: Mutualistic Sensing and Communication for Mobile Crowdsensing,” 2024 IEEE 44th International Conference on Distributed Computing Systems (ICDCS).
J. Jiang, L. Lian, T. Yu, et al., “A Novel Dua-Driven Channel Estimation Scheme for Spatially Non-Stationary Fading Environments”, IEEE Transactions on Wireless Communications, 2023.
S. Hu, L. Lian, H. Qian, et al, “Blind Multi-level MAP Detection with Phase Noise Compensation in MIMO-OFDM Systems,” IEEE Transactions on Communications, 2023.
Y. Shi, L. Lian, Y. Shi, Z. Wang, Y. Zhou, L. Fu, L. Bai, J. Zhang and W. Zhang, “Machine Learning for Large-Scale Optimization in 6G Wireless Networks,” IEEE Communications Surveys & Tutorials, 2023.
Y. Xu and L. Lian, “Channel Estimation Based on Contrastive Feature Learning with Few Labeled Samples,” 2023 IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2023.
L. Lian and B. Wang, “Regularized Deep Generative Model Learning for Real-Time Massive MIMO Channel Tracking,” ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, 2023, pp. 1-5.
J. Cao, L. Lian, Y. Mao and B. Clerckx, “Adaptive CSI Feedback with Hidden Semantic Information Transfer,” ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, 2023, pp. 1-5.
P. Gao, L. Lian and J. Yu, “Efficiency of Spatial Correlation for Multi-RIS-Assisted Multi-User Direct Localization,” IEEE International Conference on Communications (ICC), 2023.
P. Gao, L. Lian and J. Yu, “Cooperative ISAC With Direct Localization and Rate-Splitting Multiple Access Communication: A Pareto Optimization Framework,” in IEEE Journal on Selected Areas in Communications, vol. 41, no. 5, pp. 1496-1515, May 2023.
K. Zhao, Y. Mao, Z. Yang, L. Lian and B. Clerckx, “Reconfigurable Intelligent Surfaces Empowered Cooperative Rate Splitting with User Relaying,” International Symposium on Wireless Communication Systems (ISWCS), 2022.
J. Cao and L. Lian, "Information Bottleneck Based Joint Feedback and Channel Learning in FDD Massive MIMO Systems,” 2022 IEEE Global Communications Conference, 2022.
P. Gao, L. Lian and J. Yu, “Wireless Area Positioning in RIS-Assisted mmWave Systems: Joint Passive and Active Beamforming Design,” in IEEE Signal Processing Letters, vol. 29, pp. 1372-1376, 2022.
B. Wang and L. Lian, "Online Compressive Channel Learning Using Untrained Deep Generative Model,” in 2022 IEEE 95rd Vehicular Technology Conference (VTC2022-Spring), 2022.
P. Gao, L. Lian and J. Yu, “Optimal Passive Beamforming for Cooperative Localization with RIS-Assisted mmWave systems”, in IEEE Wireless communications and Networking Conference Workshop (WNCNW), Austin, TX, USA, 2022, pp. 1-6.
P. Fang and L. Lian, "Spatial Structure Aided Compressive Phase Training for Channel Estimation in Massive MIMO System with Reconfigurable Intelligent Surfaces,” IEEE International Conference on Communications (ICC), Seoul, South Korea, 2022, pp. 1-6.