Lei Cheng

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 51

Top Topics

Channel Estimation

Bayesian Learning

Mixture Of Factor Analyzers

Top Venues

IEEE Trans. Signal Process.

Publications

Kai Li, Ying Li, Lei Cheng, Qingjiang Shi, Zhi-Quan Luo
Downlink Channel Covariance Matrix Reconstruction for FDD Massive MIMO Systems With Limited Feedback. IEEE Trans. Signal Process. 72 (2024)
Hao Zhang, Qingfeng Lin, Yang Li, Lei Cheng, Yik-Chung Wu
Bayesian Activity Detection for Massive Connectivity in Cell-Free IoT Networks. ICASSP (2024)
Ruoyu Zhang, Lei Cheng, Shuai Wang, Yi Lou, Yulong Gao, Wen Wu, Derrick Wing Kwan Ng
Integrated Sensing and Communication With Massive MIMO: A Unified Tensor Approach for Channel and Target Parameter Estimation. IEEE Trans. Wirel. Commun. 23 (8) (2024)
Ruoyu Zhang, Lei Cheng, Shuai Wang, Yi Lou, Yulong Gao, Wen Wu, Derrick Wing Kwan Ng
Integrated Sensing and Communication with Massive MIMO: A Unified Tensor Approach for Channel and Target Parameter Estimation. CoRR (2024)
Hao Zhang, Qingfeng Lin, Yang Li, Lei Cheng, Yik-Chung Wu
Activity Detection for Massive Connectivity in Cell-Free Networks With Unknown Large-Scale Fading, Channel Statistics, Noise Variance, and Activity Probability: A Bayesian Approach. IEEE Trans. Signal Process. 72 (2024)
Le Xu, Lei Cheng, Ngai Wong, Yik-Chung Wu, H. Vincent Poor
Overcoming Beam Squint in mmWave MIMO Channel Estimation: A Bayesian Multi-Band Sparsity Approach. IEEE Trans. Signal Process. 72 (2024)
Xingyu Ji, Lei Cheng, Hangfang Zhao
Multipath Time-Delay Estimation With Impulsive Noise via Bayesian Compressive Sensing. IEEE Signal Process. Lett. 30 (2023)
Ruoyu Zhang, Lei Cheng, Shuai Wang, Yi Lou, Chen Miao, Wen Wu, Derrick Wing Kwan Ng
Target Sensing in Wideband Massive MIMO-ISAC Systems in the Presence of Beam Squint. ICC Workshops (2023)
Zhongtao Chen, Lei Cheng, Yik-Chung Wu
Accelerating probabilistic tensor canonical polyadic decomposition with nonnegative factors: An inexact BCD Approach. Signal Process. 207 (2023)
Xueke Tong, Lei Cheng, Yik-Chung Wu
Bayesian Tensor Tucker Completion With a Flexible Core. IEEE Trans. Signal Process. 71 (2023)
Zhidi Lin, Lei Cheng, Feng Yin, Lexi Xu, Shuguang Cui
Output-Dependent Gaussian Process State-Space Model. ICASSP (2023)
Le Xu, Lei Cheng, Ngai Wong, Yik-Chung Wu
Tensor train factorization under noisy and incomplete data with automatic rank estimation. Pattern Recognit. 141 (2023)
Le Xu, Lei Cheng, Ngai Wong, Yik-Chung Wu
To Fold or Not to Fold: Graph Regularized Tensor Train for Visual Data Completion. CoRR (2023)
Zhongtao Chen, Lei Cheng, Yik-Chung Wu
Enhanced Tensor Rank Learning in Bayesian PARAFAC2 for Noisy Irregular Tensor Data. EUSIPCO (2023)
Ying Li, Lei Cheng, Feng Yin, Michael Minyi Zhang, Sergios Theodoridis
Overcoming Posterior Collapse in Variational Autoencoders Via EM-Type Training. ICASSP (2023)
Yangge Chen, Lei Cheng, Yik-Chung Wu
Bayesian low-rank matrix completion with dual-graph embedding: Prior analysis and tuning-free inference. Signal Process. 204 (2023)
Lei Cheng, Feng Yin, Sergios Theodoridis, Sotirios Chatzis, Tsung-Hui Chang
Rethinking Bayesian Learning for Data Analysis: The Art of Prior and Inference in Sparsity-Aware Modeling. CoRR (2022)
Lei Cheng, Zhongtao Chen, Qingjiang Shi, Yik-Chung Wu, Sergios Theodoridis
Towards Flexible Sparsity-Aware Modeling: Automatic Tensor Rank Learning Using the Generalized Hyperbolic Prior. IEEE Trans. Signal Process. 70 (2022)
Yangge Chen, Lei Cheng, Yik-Chung Wu
Bayesian Low-rank Matrix Completion with Dual-graph Embedding: Prior Analysis and Tuning-free Inference. CoRR (2022)
Lei Cheng, Feng Yin, Sergios Theodoridis, Sotirios Chatzis, Tsung-Hui Chang
Rethinking Bayesian Learning for Data Analysis: The art of prior and inference in sparsity-aware modeling. IEEE Signal Process. Mag. 39 (6) (2022)
Peixi Liu, Jiamo Jiang, Guangxu Zhu, Lei Cheng, Wei Jiang, Wu Luo, Ying Du, Zhiqin Wang
Training time minimization for federated edge learning with optimized gradient quantization and bandwidth allocation. Frontiers Inf. Technol. Electron. Eng. 23 (8) (2022)
Zhidi Lin, Lei Cheng, Feng Yin, Lexi Xu, Shuguang Cui
Output-Dependent Gaussian Process State-Space Model. CoRR (2022)
Chunhui Zhang, Xiaoming Yuan, Qianyun Zhang, Guangxu Zhu, Lei Cheng, Ning Zhang
Toward Tailored Models on Private AIoT Devices: Federated Direct Neural Architecture Search. IEEE Internet Things J. 9 (18) (2022)
Peixi Liu, Jiamo Jiang, Guangxu Zhu, Lei Cheng, Wei Jiang, Wu Luo, Ying Du, Zhiqin Wang
Training Time Minimization in Quantized Federated Edge Learning under Bandwidth Constraint. WCNC (2022)
Xiaodan Shao, Lei Cheng, Xiaoming Chen, Chongwen Huang, Derrick Wing Kwan Ng
Reconfigurable Intelligent Surface-Aided 6G Massive Access: Coupled Tensor Modeling and Sparse Bayesian Learning. IEEE Trans. Wirel. Commun. 21 (12) (2022)
Xinran Zhang, Xiaodan Shao, Yabo Guo, Yanhui Lu, Lei Cheng
Sparsity-Structured Tensor-Aided Channel Estimation for RIS-Assisted MIMO Communications. IEEE Commun. Lett. 26 (10) (2022)
Ruoyu Zhang, Lei Cheng, Shuai Wang, Yi Lou, Wen Wu, Derrick Wing Kwan Ng
Tensor Decomposition-Based Channel Estimation for Hybrid mmWave Massive MIMO in High-Mobility Scenarios. IEEE Trans. Commun. 70 (9) (2022)
Xinyun Hua, Siyuan Li, Lei Cheng
Symmetric Tensor Canonical Polyadic Decomposition Via Probabilistic Inference. SAM (2022)
Yihong Dong, Xiaohan Jiang, Lei Cheng, Qingjiang Shi
Semi-Supervised Learning For Signal Recognition With Sparsity And Robust Promotion. WCNC (2021)
Kai Li, Ying Li, Lei Cheng, Qingjiang Shi, Zhi-Quan Luo
Learning Enhanced Beamforming Vector From CQIs in 5G NR FDD Massive MIMO Systems: A Tuning-free Approach. SPAWC (2021)
Ying Li, Kai Li, Lei Cheng, Qingjiang Shi, Zhi-Quan Luo
Digital Twin-Aided Learning to Enable Robust Beamforming: Limited Feedback Meets Deep Generative Models. SPAWC (2021)
Lei Cheng, Qingjiang Shi
Towards Overfitting Avoidance: Tuning-Free Tensor-Aided Multi-User Channel Estimation for 3D Massive MIMO Communications. IEEE J. Sel. Top. Signal Process. 15 (3) (2021)
Chunhui Zhang, Xiaoming Yuan, Qianyun Zhang, Guangxu Zhu, Lei Cheng, Ning Zhang
Privacy-Preserving Neural Architecture Search Across Federated IoT Devices. TrustCom (2021)
Le Xu, Lei Cheng, Ngai Wong, Yik-Chung Wu
Overfitting Avoidance in Tensor Train Factorization and Completion: Prior Analysis and Inference. ICDM (2021)
Dan Liu, Shuai Wang, Zhigang Wen, Lei Cheng, Miaowen Wen, Yik-Chung Wu
Edge Learning With Unmanned Ground Vehicle: Joint Path, Energy, and Sample Size Planning. IEEE Internet Things J. 8 (4) (2021)
Yihong Dong, Xiaohan Jiang, Lei Cheng, Qingjiang Shi
SSRCNN: A Semi-Supervised Learning Framework for Signal Recognition. IEEE Trans. Cogn. Commun. Netw. 7 (3) (2021)
Le Xu, Lei Cheng, Ngai Wong, Yik-Chung Wu
Probabilistic Tensor Train Decomposition with Automatic Rank Determination from Noisy Data. SSP (2021)
Kai Li, Ying Li, Lei Cheng, Qingjiang Shi, Zhi-Quan Luo
Pushing The Limit of Type I Codebook For Fdd Massive Mimo Beamforming: A Channel Covariance Reconstruction Approach. ICASSP (2021)
Lei Cheng, Zhongtao Chen, Qingjiang Shi, Yik-Chung Wu, Sergios Theodoridis
Towards Probabilistic Tensor Canonical Polyadic Decomposition 2.0: Automatic Tensor Rank Learning Using Generalized Hyperbolic Prior. CoRR (2020)
Xuefeng Xu, Yanqing Yao, Lei Cheng
Deep Learning Algorithms Design and Implementation Based on Differential Privacy. ML4CS (1) (2020)
Lei Cheng, Xueke Tong, Shuai Wang, Yik-Chung Wu, H. Vincent Poor
Learning Nonnegative Factors From Tensor Data: Probabilistic Modeling and Inference Algorithm. IEEE Trans. Signal Process. 68 (2020)
Lei Cheng, Xueke Tong, Yik-Chung Wu
Distributed Nonnegative Tensor Canonical Polyadic Decomposition With Automatic Rank Determination. SAM (2020)
Zhongtao Chen, Lei Cheng
Mitigating Outliers for Bayesian Mixture of Factor Analyzers. SAM (2020)
Dan Liu, Shuai Wang, Zhigang Wen, Lei Cheng, Miaowen Wen, Yik-Chung Wu
Edge Learning with Unmanned Ground Vehicle: Joint Path, Energy and Sample Size Planning. CoRR (2020)
Lei Cheng, Chengwen Xing, Yik-Chung Wu
Irregular Array Manifold Aided Channel Estimation in Massive MIMO Communications. IEEE J. Sel. Top. Signal Process. 13 (5) (2019)
Shuai Wang, Lei Cheng, Minghua Xia, Yik-Chung Wu
Massive MIMO Multicast Beamforming via Accelerated Random Coordinate Descent. ICASSP (2019)
Shuai Wang, Lei Cheng, Minghua Xia, Yik-Chung Wu
Massive MIMO Multicast Beamforming Via Accelerated Random Coordinate Descent. CoRR (2019)
Lei Cheng, Yik-Chung Wu, H. Vincent Poor
Scaling Probabilistic Tensor Canonical Polyadic Decomposition to Massive Data. IEEE Trans. Signal Process. 66 (21) (2018)
Lei Cheng, Yik-Chung Wu, Shaodan Ma, Jianzhong Zhang, Lingjia Liu
Channel estimation in full-dimensional massive MIMO system using one training symbol. SPAWC (2017)
Lei Cheng, Yik-Chung Wu, H. Vincent Poor
Probabilistic Tensor Canonical Polyadic Decomposition With Orthogonal Factors. IEEE Trans. Signal Process. 65 (3) (2017)
Bin Luo, Lei Cheng, Yik-Chung Wu
Fully distributed clock synchronization in wireless sensor networks under exponential delays. Signal Process. 125 (2016)
Lei Cheng, Yik-Chung Wu, Lingjia Liu, Jianzhong Zhang
Robust Tensor-Based DOA Estimation in Massive / Full-Dimension MIMO System. GLOBECOM (2015)
Lei Cheng, Yik-Chung Wu, Jianzhong Zhang, Lingjia Liu
Subspace Identification for DOA Estimation in Massive/Full-Dimension MIMO Systems: Bad Data Mitigation and Automatic Source Enumeration. IEEE Trans. Signal Process. 63 (22) (2015)
Bin Luo, Lei Cheng, Yik-Chung Wu
Fully-distributed joint clock synchronization and ranging in wireless sensor networks under exponential delays. ICCS (2014)