Multi-channel NLMS-based sea clutter cancellation in passive bistatic radar. - Tao Shan; Yahui Ma; Ran Tao 003; Shengheng Liu (IEICE Electron. Express, 2014)

Sparse Discrete Fractional Fourier Transform and Its Applications. - Shengheng Liu; Tao Shan; Ran Tao 003; Yimin D. Zhang; Guo Zhang; Feng Zhang 011; Yue Wang 001 (IEEE Trans. Signal Process., 2014)

Automatic human fall detection in fractional fourier domain for assisted living. - Shengheng Liu; Zhengxin Zeng; Yimin D. Zhang; Tingting Fan; Tao Shan; Ran Tao 003 (ICASSP, 2016)

Improvement of Auctioneer's Revenue under Incomplete Information in Cognitive Radio Networks. - Jun Ma; Yonghong Zhang; Shengheng Liu (IEICE Trans. Inf. Syst., 2016)

A Novel Clutter Cancellation Method Utilizing Joint Multi-Domain Information for Passive Radar. - Yonghui Zhai; Ding Wang; Jiang Wu; Shengheng Liu (IEICE Trans. Commun., 2016)

Micro-Doppler Signal Time-Frequency Algorithm Based on STFRFT. - Cunsuo Pang; Yan Han; Huiling Hou; Shengheng Liu; Nan Zhang (Sensors, 2016)

Fast ISAR imaging based on sparse fourier transform algorithm. - Jiaqi Lin; Yuan Feng; Shengheng Liu (ICAIT, 2017)

Research on joint segment optimisation and stereo matching. - Jianguo Liu; Li Yu; Xuesong Li 001; Shengheng Liu (IET Commun., 2017)

A Multi-Channel Partial-Update Algorithm for Sea Clutter Suppression in Passive Bistatic Radar. - Yahui Ma; Shengheng Liu; Jun Lu (SAM, 2018)

High-Speed Target Detection Algorithm Based on Sparse Fourier Transform. - Cunsuo Pang; Shengheng Liu; Yan Han (IEEE Access, 2018)

Detection of weak astronomical signals with frequency-hopping interference suppression. - Shengheng Liu; Yimin D. Zhang; Tao Shan (Digit. Signal Process., 2018)

Image Reconstruction in Electrical Impedance Tomography Based on Structure-Aware Sparse Bayesian Learning. - Shengheng Liu; Jiabin Jia; Yimin D. Zhang; Yunjie Yang (IEEE Trans. Medical Imaging, 2018)

Structure-Aware Bayesian Compressive Sensing for Frequency-Hopping Spectrum Estimation With Missing Observations. - Shengheng Liu; Yimin D. Zhang; Tao Shan; Ran Tao 003 (IEEE Trans. Signal Process., 2018)

FPGA Prototyping of A Millimeter-Wave Multiple Gigabit WLAN System. - Dongming Ren; Kang Chen; Shengheng Liu; Yongming Huang 001 (SiPS, 2019)

Coherent Detection Algorithm for Radar Maneuvering Targets Based on Discrete Polynomial-Phase Transform. - Cunsuo Pang; Shengheng Liu; Yan Han (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

Accelerated Structure-Aware Sparse Bayesian Learning for Three-Dimensional Electrical Impedance Tomography. - Shengheng Liu; Hancong Wu; Yongming Huang 001; Yunjie Yang; Jiabin Jia (IEEE Trans. Ind. Informatics, 2019)

Joint User Scheduling and Beam Selection in mmWave Networks Based on Multi-Agent Reinforcement Learning. - Chunmei Xu; Shengheng Liu; Cheng Zhang 004; Yongming Huang 001; Luxi Yang (SAM, 2020)

MEC-Enabled Wireless VR Video Service: A Learning-Based Mixed Strategy for Energy-Latency Tradeoff. - Chong Zheng; Shengheng Liu; Yongming Huang 001; Luxi Yang (WCNC, 2020)

Optimized sparse fractional Fourier transform: Principle and performance analysis. - Hongchi Zhang; Tao Shan; Shengheng Liu; Ran Tao 003 (Signal Process., 2020)

Infrared Dim and Small Target Detection Based on Greedy Bilateral Factorization in Image Sequences. - Dongdong Pang; Tao Shan; Wei Li 032; Pengge Ma; Shengheng Liu; Ran Tao 003 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Time Sequence Learning for Electrical Impedance Tomography Using Bayesian Spatiotemporal Priors. - Shengheng Liu; Ruisong Cao; Yongming Huang 001; Taweechai Ouypornkochagorn; Jiabin Jia (IEEE Trans. Instrum. Meas., 2020)

Learning-Aided Beam Management for mmWave High-Speed Railway Networks. - Yuqi Zhang; Shengheng Liu; Zhaohua Lu; Fan Meng; Yongming Huang 001 (GLOBECOM, 2021)

Privacy-Preserving Federated Reinforcement Learning for Popularity-Assisted Edge Caching. - Chong Zheng; Shengheng Liu; Yongming Huang 001; Tony Q. S. Quek (GLOBECOM, 2021)

Low-Complexity Parameter Learning for OTFS Modulation Based Automotive Radar. - Chenwen Liu; Shengheng Liu; Zihuan Mao; Yongming Huang 001; Haiming Wang 001 (ICASSP, 2021)

Over-the-air Learning Rate Optimization for Federated Learning. - Chunmei Xu; Shengheng Liu; Yongming Huang 001; Chongwen Huang; Zhaoyang Zhang 001 (ICC Workshops, 2021)

Learning Rate Optimization for Federated Learning Exploiting Over-the-air Computation. - Chunmei Xu; Shengheng Liu; Zhaohui Yang 001; Yongming Huang 001; Dusit Niyato; Kai-Kit Wong (CoRR, 2021)

Rank Minimization-Based Toeplitz Reconstruction for DoA Estimation Using Coprime Array. - Shengheng Liu; Zihuan Mao; Yimin D. Zhang; Yongming Huang 001 (IEEE Commun. Lett., 2021)

True-data testbed for 5G/B5G intelligent network. - Yongming Huang 001; Shengheng Liu; Cheng Zhang 004; Xiaohu You 001; Hequan Wu (Intell. Converged Networks, 2021)

Learning Rate Optimization for Federated Learning Exploiting Over-the-Air Computation. - Chunmei Xu; Shengheng Liu; Zhaohui Yang 001; Yongming Huang 001; Kai-Kit Wong (IEEE J. Sel. Areas Commun., 2021)

Performance evaluation and parameter optimization of sparse Fourier transform. - Hongchi Zhang; Tao Shan; Shengheng Liu; Ran Tao 003 (Signal Process., 2021)

Efficient Multitask Structure-Aware Sparse Bayesian Learning for Frequency-Difference Electrical Impedance Tomography. - Shengheng Liu; Yongming Huang 001; Hancong Wu; Chao Tan; Jiabin Jia (IEEE Trans. Ind. Informatics, 2021)

Multi-Agent Reinforcement Learning Based Distributed Transmission in Collaborative Cloud-Edge Systems. - Chunmei Xu; Shengheng Liu; Cheng Zhang 004; Yongming Huang 001; Zhaohua Lu; Luxi Yang (IEEE Trans. Veh. Technol., 2021)

Hybrid Policy Learning for Energy-Latency Tradeoff in MEC-Assisted VR Video Service. - Chong Zheng; Shengheng Liu; Yongming Huang 001; Luxi Yang (IEEE Trans. Veh. Technol., 2021)

Link-Level Simulator for 5G Localization. - Xinghua Jia; Peng Liu 020; Shengheng Liu; Xiaodong Li; Wangdong Qi (GLOBECOM (Workshops), 2022)

Learning to Predict and Optimize Imperfect MIMO System Performance: Framework and Application. - Jingyi Su; Fan Meng; Shengheng Liu; Yongming Huang 001; Zhaohua Lu (GLOBECOM, 2022)

Doppler Diversity Reception for OTFS Modulation. - Zhihan Gong; Shengheng Liu; Yongming Huang 001 (VTC Spring, 2022)

Peak-to-Average Power Ratio Reduction via Symbol Precoding in OTFS Modulation. - Jingyi Su; Shengheng Liu; Yongming Huang 001; Jinhong Yuan (VTC Spring, 2022)

Learnable Model-Driven Performance Prediction and Optimization for Imperfect MIMO System: Framework and Application. - Fan Meng; Shengheng Liu; Yongming Huang 001; Zhaohua Lu (CoRR, 2022)

Toward 6G TKμ Extreme Connectivity: Architecture, Key Technologies and Experiments. - Xiaohu You 001; Yongming Huang 001; Shengheng Liu; Dongming Wang 002; Junchao Ma; Wei Xu 001; Chuan Zhang 001; Hang Zhan; Cheng Zhang 004; Jiao Zhang 005; Jin Li; Min Zhu; et al. (CoRR, 2022)

Unsupervised Recurrent Federated Learning for Edge Popularity Prediction in Privacy-Preserving Mobile-Edge Computing Networks. - Chong Zheng; Shengheng Liu; Yongming Huang 001; Wei Zhang 001; Luxi Yang (IEEE Internet Things J., 2022)

Distributed Reinforcement Learning for Privacy-Preserving Dynamic Edge Caching. - Shengheng Liu; Chong Zheng; Yongming Huang 001; Tony Q. S. Quek (IEEE J. Sel. Areas Commun., 2022)

A Novel Spatiotemporal Saliency Method for Low-Altitude Slow Small Infrared Target Detection. - Dongdong Pang; Tao Shan; Pengge Ma; Wei Li 032; Shengheng Liu; Ran Tao 003 (IEEE Geosci. Remote. Sens. Lett., 2022)

Cramér-Rao Bound of Joint DOA-Range Estimation for Coprime Frequency Diverse Arrays. - Zihuan Mao; Shengheng Liu; Si Qin; Yongming Huang 001 (Remote. Sens., 2022)

Learning-Aided Beam Prediction in mmWave MU-MIMO Systems for High-Speed Railway. - Fan Meng; Shengheng Liu; Yongming Huang 001; Zhaohua Lu (IEEE Trans. Commun., 2022)

Radar Point Clouds Processing for Human Activity Classification Using Convolutional Multilinear Subspace Learning. - Xingshuai Qiao; Yuan Feng; Shengheng Liu; Tao Shan; Ran Tao 003 (IEEE Trans. Geosci. Remote. Sens., 2022)

Efficient Joint DOA and TOA Estimation for Indoor Positioning With 5G Picocell Base Stations. - Mengguan Pan; Peng Liu 020; Shengheng Liu; Wangdong Qi; Yongming Huang 001; Xiaohu You 001; Xinghua Jia; Xiaodong Li (IEEE Trans. Instrum. Meas., 2022)

Joint DoA-Range Estimation Using Space-Frequency Virtual Difference Coarray. - Zihuan Mao; Shengheng Liu; Yimin D. Zhang; Leixin Han; Yongming Huang 001 (IEEE Trans. Signal Process., 2022)

Automatic Driving Scenarios: A Cross-Domain Approach for Object Detection. - Shengheng Liu; Jiacheng Chen; Lei Li; Yahui Ma; Yongming Huang 001 (ICANN (7), 2023)

Super-Resolution Delay-Doppler Estimation for OTFS Radar. - Zhihan Gong; Shengheng Liu; Lei Li; Yongming Huang 001; Jinhong Yuan (ICC Workshops, 2023)

5G NR Monostatic Positioning with Array Impairments: Data-and-Model-Driven Framework and Experiment Results. - Shengheng Liu; Hao Wang 141; Mengguan Pan; Peng Liu 020; Yahui Ma; Yongming Huang 001 (ISACom@MobiCom, 2023)

5G CFR/CSI dataset for wireless channel parameter estimation, array calibration, and indoor positioning. - Mengguan Pan; Shengheng Liu; Peng Liu 020; Wangdong Qi; Yongming Huang 001; Wang Zheng; Qihui Wu 001; Markus Gardill (IEEE DataPort, 2023)

Fast Direct Localization for Millimeter Wave MIMO Systems via Deep ADMM Unfolding. - Wenzhe Fan; Shengheng Liu; Chunguo Li; Yongming Huang 001 (IEEE Wirel. Commun. Lett., 2023)

Toward 6G TKμ Extreme Connectivity: Architecture, Key Technologies and Experiments. - Xiaohu You 001; Yongming Huang 001; Shengheng Liu; Dongming Wang 002; Junchao Ma; Chuan Zhang 001; Hang Zhan; Cheng Zhang 004; Jiao Zhang 005; Zening Liu; Jin Li; Min Zhu; et al. (IEEE Wirel. Commun., 2023)

Link-Level Simulator for 5G Localization. - Xinghua Jia; Peng Liu 020; Wangdong Qi; Shengheng Liu; Yongming Huang 001; Wang Zheng; Mengguan Pan; Xiaohu You 001 (IEEE Trans. Wirel. Commun., 2023)

Model-Driven Deep Neural Network for Enhanced AoA Estimation Using 5G gNB. - Shengheng Liu; Xingkang Li; Zihuan Mao; Peng Liu 020; Yongming Huang 001 (AAAI, 2024)

Lightweight Deep Learning for AoA-Based 5G Multi-Source Localization in Low SNR Conditions. - Shitao Li; Shengheng Liu; Xingkang Li; Peng Liu 020; Yongming Huang 001 (MobiCom, 2024)

Access Point Deployment for Localizing accuracy and User Rate in Cell-Free Systems. - Fanfei Xu; Shengheng Liu; Zihuan Mao; Shangqing Shi; Dazhuan Xu; Dongming Wang 002; Yongming Huang 001 (MobiCom, 2024)

Random Aggregate Beamforming for Over-the-Air Federated Learning in Large-Scale Networks. - Chunmei Xu; Shengheng Liu; Yongming Huang 001; Björn E. Ottersten; Dusit Niyato (CoRR, 2024)

Model-driven deep neural network for enhanced direction finding with commodity 5G gNodeB. - Shengheng Liu; Zihuan Mao; Xingkang Li; Mengguan Pan; Peng Liu 020; Yongming Huang 001; Xiao-Hu Yu 001 (CoRR, 2024)

Design and performance validation of CWT-MCA based interference mitigation for automotive radars. - Shengheng Liu; Zheng Zhang; Tai Fei; Zhihan Gong; Lian Kou; Danfeng Shan; Lei Li; Yongming Huang 001 (Digit. Signal Process., 2024)

Super-resolution delay-Doppler estimation for OTFS-based automotive radar. - Shengheng Liu; Han Zhang; Lei Li; Zhihan Gong; Yongming Huang 001; Jinhong Yuan (Signal Process., 2024)

TDoA positioning with data-driven LoS inference in mmWave MIMO communications. - Fan Meng; Shengheng Liu; Songtao Gao; Yiming Yu; Cheng Zhang 004; Yongming Huang 001; Zhaohua Lu (Signal Process., 2024)

Fine-Grained Graph Representation Learning for Heterogeneous Mobile Networks with Attentive Fusion and Contrastive Learning. - Shengheng Liu; Tianqi Zhang; Ningning Fu; Yongming Huang 001 (AAAI, 2025)

Globally fused hierarchical transformer for nonuniform frequency diverse arrays. - Han Zhang; Shengheng Liu; Hao Chi Zhang; Le Peng Zhang; Tong Chen (Digit. Signal Process., 2025)

TRANM: Decoherenced DoA estimation for automotive radar using generalized sparse arrays. - Shengheng Liu; Zihuan Mao; Yiran Liu; Tai Fei; Markus Gardill; Yongming Huang 001 (Signal Process., 2025)

Enabling Low-Power Massive MIMO with Ternary ADCs for AIoT Sensing. - Shengheng Liu; Ningning Fu (ACM Trans. Sens. Networks, 2025)

Model-Driven Deep Neural Network for Enhancing Direction Finding with Commodity 5G gNodeB. - Shengheng Liu; Zihuan Mao; Xingkang Li; Mengguan Pan; Peng Liu 020; Yongming Huang 001; Xiaohu You 001 (ACM Trans. Sens. Networks, 2025)

Integrated user scheduling and beam steering in over-the-air federated learning for mobile IoT. - Shengheng Liu; Ningning Fu; Zhonghao Zhang; Yongming Huang 001; Tony Q. S. Quek (CoRR, 2025)

Multi-grained spatial-temporal feature complementarity for accurate online cellular traffic prediction. - Ningning Fu; Shengheng Liu; Weiliang Xie; Yongming Huang 001 (CoRR, 2025)

Sparse coarray manifold separation for efficient cellular localization using coprime array. - Shengheng Liu; Yonghe Shang; Wang Zheng; Peng Liu 020; Yongming Huang 001 (Signal Process., 2026)