Optimal-Tuned Weighted LASSO for Massive MIMO Channel Estimation with Limited RF Chains. - Lixiang Lian; An Liu 001; Vincent K. N. Lau (GLOBECOM, 2017)

Compressive RF training and channel estimation in massive MIMO with limited RF chains. - An Liu 001; Vincent K. N. Lau; Michael L. Honig; Lixiang Lian (ICC, 2017)

Weighted LASSO for Sparse Recovery With Statistical Prior Support Information. - Lixiang Lian; An Liu 001; Vincent K. N. Lau (IEEE Trans. Signal Process., 2018)

Downlink Channel Estimation in Multiuser Massive MIMO With Hidden Markovian Sparsity. - An Liu 001; Lixiang Lian; Vincent K. N. Lau; Xiaojun Yuan 002 (IEEE Trans. Signal Process., 2018)

Sparse Bayesian Inference Based Direct Localization for Massive MIMO. - Guanying Liu; An Liu 001; Lixiang Lian; Vincent K. N. Lau; Min-Jian Zhao 001 (VTC Fall, 2019)

Exploiting Dynamic Sparsity for Downlink FDD-Massive MIMO Channel Tracking. - Lixiang Lian; An Liu 001; Vincent K. N. Lau (IEEE Trans. Signal Process., 2019)

User Location Tracking in Massive MIMO Systems via Dynamic Variational Bayesian Inference. - Lixiang Lian; An Liu 001; Vincent K. N. Lau (IEEE Trans. Signal Process., 2019)

Compressive Channel Estimation in mmWave Systems with Flexible Hybrid Beamforming Architecture. - Lixiang Lian; Vincent K. N. Lau (ICC, 2020)

Configuration Optimization and Channel Estimation in Hybrid Beamforming mmWave Systems With Channel Support Side Information. - Lixiang Lian; Vincent K. N. Lau (IEEE Trans. Signal Process., 2020)

Cloud-Assisted Cooperative Localization for Vehicle Platoons: A Turbo Approach. - An Liu 001; Lixiang Lian; Vincent Lau 001; Guanying Liu; Min-Jian Zhao 001 (IEEE Trans. Signal Process., 2020)

Robust Recovery of Structured Sparse Signals With Uncertain Sensing Matrix: A Turbo-VBI Approach. - An Liu 001; Guanying Liu; Lixiang Lian; Vincent K. N. Lau; Min-Jian Zhao 001 (IEEE Trans. Wirel. Commun., 2020)

Information Bottleneck Based Joint Feedback and Channel Learning in FDD Massive MIMO Systems. - Jiaqi Cao; Lixiang Lian (GLOBECOM, 2022)

Spatial Feature Aided Optimal Compressive Phase Training and Channel Estimation in Massive MIMO Systems with RIS. - Pan Fang; Lixiang Lian (ICC, 2022)

Wireless Federated Learning over MIMO Networks: Joint Device Scheduling and Beamforming Design. - Shaoming Huang; Pengfei Zhang; Yijie Mao; Lixiang Lian; Youlong Wu; Yuanming Shi (ICC Workshops, 2022)

Reconfigurable Intelligent Surfaces Empowered Cooperative Rate Splitting with User Relaying. - Kangchun Zhao; Yijie Mao; Zhaohui Yang 001; Lixiang Lian; Bruno Clerckx (ISWCS, 2022)

Online Compressive Channel Learning Using Untrained Deep Generative Model. - Ben Wang; Lixiang Lian (VTC Spring, 2022)

Optimal Passive Beamforming for Cooperative Localization with RIS-Assisted mmWave Systems. - Peng Gao; Lixiang Lian; Jinpei Yu (WCNC, 2022)

Decentralized Complete Dictionary Learning via 𝓁4-Norm Maximization. - Qiheng Lu; Lixiang Lian (CoRR, 2022)

Wireless Area Positioning in RIS-Assisted mmWave Systems: Joint Passive and Active Beamforming Design. - Peng Gao; Lixiang Lian; Jinpei Yu (IEEE Signal Process. Lett., 2022)

Adaptive CSI Feedback with Hidden Semantic Information Transfer. - Jiaqi Cao; Lixiang Lian; Yijie Mao; Bruno Clerckx (ICASSP, 2023)

Regularized Deep Generative Model Learning for Real-Time Massive MIMO Channel Tracking. - Lixiang Lian; Ben Wang (ICASSP, 2023)

Efficiency of Spatial Correlation for Multi-RIS-Assisted Multi-User Direct Localization. - Peng Gao; Lixiang Lian; Jinpei Yu (ICC, 2023)

Channel Estimation Based on Contrastive Feature Learning with Few Labeled Samples. - Yihan Xu; Lixiang Lian (SPAWC, 2023)

Machine Learning for Large-Scale Optimization in 6G Wireless Networks. - Yandong Shi; Lixiang Lian; Yuanming Shi; Zixin Wang; Yong Zhou 006; Liqun Fu 001; Lin Bai 001; Jun Zhang 004; Wei Zhang 001 (IEEE Commun. Surv. Tutorials, 2023)

Cooperative ISAC With Direct Localization and Rate-Splitting Multiple Access Communication: A Pareto Optimization Framework. - Peng Gao; Lixiang Lian; Jinpei Yu (IEEE J. Sel. Areas Commun., 2023)

Catalyzing Near-field Localization Through RIS Assistance: Optimization of Hybrid Operational Paradigms. - Xu Fang; Lixiang Lian (GLOBECOM, 2024)

GSURE-Based Unsupervised Deep Equilibrium Model Learning for Large-Scale Channel Estimation. - Haotian Tian; Lixiang Lian (GLOBECOM, 2024)

MuSAC: Mutualistic Sensing and Communication for Mobile Crowdsensing. - Sijie Ji; Lixiang Lian; Yuanqing Zheng; Chenshu Wu (ICDCS, 2024)

Multi-User Localization and Tracking with Spatiotemporal Correlation in Multi-RIS-Assisted Systems. - Ronghua Peng; Peng Gao; Jing You; Lixiang Lian (CoRR, 2024)

Blind Multi-Level MAP Detection With Phase Noise Compensation in MIMO-OFDM Systems. - Shicheng Hu; Lixiang Lian; Hua Qian; Kai Kang; Mingqi Li (IEEE Trans. Commun., 2024)

A Novel Dual-Driven Channel Estimation Scheme for Spatially Non-Stationary Fading Environments. - Jiaqi Jiang; Lixiang Lian; Tao Yu 008; Qi Shi 004; Shunqing Zhang; Xiaojing Chen 001; Vincent K. N. Lau (IEEE Trans. Wirel. Commun., 2024)

Dynamic UAV-Assisted Cooperative Edge AI Inference. - Jingfeng Huang; Lixiang Lian; Dingzhu Wen; Yong Zhou 006; Fuzhai Wang; Weichang Wang; Yuanming Shi (IEEE Trans. Wirel. Commun., 2025)

Data-Aware Beamforming for Integrated Sensing and Communication Enabled AI Systems. - Juan Qin; Lixiang Lian (IEEE Wirel. Commun. Lett., 2025)

A Three-Stage Physics-Driven Transmission Scheme for Integrated Sensing and Communication Systems With Noisy Angular Information. - Huangyun Su; Lixiang Lian; Kaixuan Huang; Shunqing Zhang (IEEE Wirel. Commun. Lett., 2025)