PUBLICATIONS

Highlighted Contributions

Theorecial Contributions

• Fundamental Performance Limits of Cooperative Localization, e.g., Localization and Tracking for Cooperative Users in Multi-RIS-assisted Systems: Theoretical Analysis and Principles of Interpretations.

• Distributed Disctionary Learning, e.g., Distributed Complete Dictionary Learning via l4-Norm Maximization.

• High-Dimensional Signal Processing, e.g., Weighted LASSO for Sparse Recovery With Statistical Prior Support Information, Robust Recovery of Structured Sparse Signals with Uncertain Sensing Matrix: A Turbo-VBI Approach.

Application-Oriented Contributions

• Integrated Sensing and Communication Enabled AI Systems, e.g., Data-Aware Beamforming for Integrated Sensing and Communication Enabled AI Systems.

• Pareto-Optimal Cooperative ISAC Systems, e.g., Cooperative ISAC With Direct Localization and Rate-Splitting Multiple Access Communication: A Pareto Optimization Framework.

• Physics-Informed Deep Learnings with Performance Guarantees, e.g., Machine Learning for Large-Scale Optimization in 6G Wireless Networks, GSURE-Based Unsupervised Deep Equilibrium Model Learning for Large-Scale Channel Estimation, Learning to Beamform for Cooperative Localization and Communication: A Link Heterogeneous GNN-Based Approach.

• High-Dimensional Signal Processing with Applications in Wireless Communication and Sensing, e.g., User Location Tracking in Massive MIMO Systemsvia Dynamic Variational Bayesian Inference, Exploiting Dynamic Sparsity for Downlink FDD Massive MIMO Channel Tracking.

System Implementations

• Mutualistic Sensing and Communication (MuSAC), e.g., MuSAC: Mutualistic Sensing and Communication for Mobile Crowdsensing, Adaptive CSI Feedback with Hidden Semantic Information Transfer.

Journal Paper

1. H. Tian, J. Cao and L. Lian,“Information-Preserving CSI Feedback: Invertible Networks with Endogenous Quantization and Channel Error Mitigation,” in IEEE Transactions on Wireless Communications, 2025. (Under Preparation）

2. H. Tian and L. Lian,“Large-Scale Channel Estimation using Unsupervised Deep Equilibrium Model Learning with Performance Guarantees,” in IEEE Transactions on Signal Processing, 2025. (Under Preparation)

3. H. Su, L. Lian, K. Huang and S. Zhang,“A Three-Stage Physics-Driven Transmission Scheme For Integrated Sensing and Communication Systems with Noisy Angular Information,” IEEE Wireless Communication Letters, 2025. (Under Review）

4. L. Li, L. Lian, S. Zhang, et al., “Physics-Motivated Large Scale Channel Decoupling and Estimation in Intercell Interfered Environments,” IEEE Wireless Communication Letters, 2025. (Under Review）

5. L. Lian, C. Bai, Y. Xu, H. Dong, R. Cheng and S. Zhang,“Learning to Beamform for Cooperative Localization and Communication: A Link Heterogeneous GNN-Based Approach,” in IEEE Transactions on Wireless Communications, 2025. (Under Review, Paper Link）

6. P. Gao, L. Lian and Y. Shen, “Localization and Tracking for Cooperative Users in Multi-RIS-assisted Systems: Theoretical Analysis and Principles of Interpretations,” IEEE Transactions on Information Theory, 2025. (Under Review, Paper Link)

7. Q. Lu and L. Lian, “Distributed Complete Dictionary Learning via l4-Norm Maximization,” IEEE Transactions on Signal Processing, 2025. (Under Review, Paper Link)

8. J. Qin and L. Lian, “Data-Aware Beamforming for Integrated Sensing and Communication Enabled AI Systems," in IEEE Wireless Communications Letters, 2025.

9. J. Huang, L. Lian, D. Wen, et al.,“Dynamic UAV-Assisted Cooperative Edge AI Inference," in IEEE Transactions on Wireless Communications, vol. 24, no. 1, pp. 615-628, Jan. 2025.

10. J. Jiang, L. Lian, T. Yu, et al., “A Novel Dual-Driven Channel Estimation Scheme for Spatially Non-Stationary Fading Environments," in IEEE Transactions on Wireless Communications, vol. 23, no. 7, pp. 7027-7042, July 2024.

11. S. Hu, L. Lian, H. Qian, et al, “Blind Multi-Level MAP Detection With Phase Noise Compensation in MIMO-OFDM Systems,” in IEEE Transactions on Communications, vol. 72, no. 3, pp. 1596-1611, March 2024.

12. 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. (Paper Link)

13. 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, doi: 10.1109/JSAC.2023.3240714.

14. 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.

15. L. Lian and V. K. N. Lau, “Configuration Optimization and Channel Estimation in Hybrid Beamforming mmWave Systems With Channel Support Side Information,” in IEEE Transactions on Signal Processing, vol. 68, pp. 6026-6039, 2020. Paper Link

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

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

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

19. A. Liu, G. Liu, L. Lian, V. Lau and M. Zhao, “Robust Recovery of Structured Sparse Signals with Uncertain Sensing Matrix: A Turbo-VBI Approach,” in IEEE Transactions on Wireless Communications, vol. 19, no. 5, pp. 3185-3198, May 2020.

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

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

Conference Paper

1. H. Gao, B. Zhou, L. Lian, Z. Wei, X. Li and Y. Zhuang, “Self-Interference-Alleviated Beamforming towards 6G Integrated Sensing and Communication,” IEEE International Conference on Communications (ICC)，2025.

2. M. Yuan, L. Lian and S. Ji, “Physics-Informed Data Augmentation for CSI Data-Limited Deep Learning Driven Communication Tasks,” IEEE International Conference on Communications (ICC) Workshop, 2025.

3. H. Tian and L. Lian, “GSURE-Based Unsupervised Deep Equilibrium Model Learning for Large-Scale Channel Estimation,” GLOBECOM 2024 - 2024 IEEE Global Communications Conference, Cape Town, South Africa, 2024, pp. 4938-4943.

4. X. Fang and L. Lian,“Catalyzing Near-field Localization Through RIS Assistance: Optimization of Hybrid Operational Paradigms,” GLOBECOM 2024 - 2024 IEEE Global Communications Conference, Cape Town, South Africa, 2024, pp. 4448-4453.

5. 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), Jersey City, NJ, USA, 2024, pp. 243-254.

6. 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.

7. 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.

8. 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.

9. P. Gao and L. Lian, “Efficiency of Spatial Correlation for Multi-RIS-Assisted Multi-User Direct Localization,” IEEE International Conference on Communications (ICC), 2023.

10. 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.

11. J. Cao and L. Lian, “Information Bottleneck Based Joint Feedback and Channel Learning in FDD Massive MIMO Systems,” 2022 IEEE Global Communications Conference, 2022.

12. B. Wang and L. Lian, “Online Compressive Channel Learning Using Untrained Deep Generative Model,” in 2022 IEEE 95rd Vehicular Technology Conference (VTC2022-Spring), 2022.

13. 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.

14. S. Huang, P. Zhang, Y. Mao, L. Lian, Y. Wu and Y. Shi, “Wireless Federated Learning over MIMO Networks: Joint Device Scheduling and Beamforming Design”, in IEEE International Conference on Communications Workshops (ICC Workshops), Seoul, South Korea, 2022, pp. 1-6.

15. 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.

16. L. Lian and V. K. N. Lau, “Compressive Channel Estimation in mmWave Systems with Flexible Hybrid Beamforming Architecture,” 2020 IEEE International Conference on Communications.

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

18. L. Lian, A. Liu and V. K. N. Lau, “Optimal-Tuned Weighted LASSO for Massive MIMO Channel Estimation with Limited RF Chains,” GLOBECOM 2017 - 2017 IEEE Global Communications Conference, Singapore, 2017, pp. 1-6.

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