Lei Cheng
Orcid: 0000-0002-0097-0547Affiliations:
- Zhejiang University, College of Information Science and Electronic Engineering, Hangzhou, China
- University of Hong Kong, Department of Electrical and Electronic Engineering, Hong Kong (former)
According to our database1,
Lei Cheng
authored at least 52 papers
between 2013 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
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., 2024
Overcoming Beam Squint in mmWave MIMO Channel Estimation: A Bayesian Multi-Band Sparsity Approach.
IEEE Trans. Signal Process., 2024
Downlink Channel Covariance Matrix Reconstruction for FDD Massive MIMO Systems With Limited Feedback.
IEEE Trans. Signal Process., 2024
Integrated Sensing and Communication with Massive MIMO: A Unified Tensor Approach for Channel and Target Parameter Estimation.
CoRR, 2024
2023
Tensor train factorization under noisy and incomplete data with automatic rank estimation.
Pattern Recognit., September, 2023
Accelerating probabilistic tensor canonical polyadic decomposition with nonnegative factors: An inexact BCD Approach.
Signal Process., June, 2023
IEEE Trans. Signal Process., 2023
Multipath Time-Delay Estimation With Impulsive Noise via Bayesian Compressive Sensing.
IEEE Signal Process. Lett., 2023
Bayesian low-rank matrix completion with dual-graph embedding: Prior analysis and tuning-free inference.
Signal Process., 2023
CoRR, 2023
Proceedings of the IEEE International Conference on Communications, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the 31st European Signal Processing Conference, 2023
2022
Reconfigurable Intelligent Surface-Aided 6G Massive Access: Coupled Tensor Modeling and Sparse Bayesian Learning.
IEEE Trans. Wirel. Commun., 2022
Towards Flexible Sparsity-Aware Modeling: Automatic Tensor Rank Learning Using the Generalized Hyperbolic Prior.
IEEE Trans. Signal Process., 2022
Tensor Decomposition-Based Channel Estimation for Hybrid mmWave Massive MIMO in High-Mobility Scenarios.
IEEE Trans. Commun., 2022
Rethinking Bayesian Learning for Data Analysis: The art of prior and inference in sparsity-aware modeling.
IEEE Signal Process. Mag., 2022
Physics-Guided Reduced-Order Representation of Three-Dimensional Sound Speed Fields with Ocean Mesoscale Eddies.
Remote. Sens., 2022
Training time minimization for federated edge learning with optimized gradient quantization and bandwidth allocation.
Frontiers Inf. Technol. Electron. Eng., 2022
Toward Tailored Models on Private AIoT Devices: Federated Direct Neural Architecture Search.
IEEE Internet Things J., 2022
Sparsity-Structured Tensor-Aided Channel Estimation for RIS-Assisted MIMO Communications.
IEEE Commun. Lett., 2022
Towards Tailored Models on Private AIoT Devices: Federated Direct Neural Architecture Search.
CoRR, 2022
Training Time Minimization in Quantized Federated Edge Learning under Bandwidth Constraint.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2022
Proceedings of the 12th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2022
Gaussian Process Regression with Grid Spectral Mixture Kernel: Distributed Learning for Multidimensional Data.
Proceedings of the 25th International Conference on Information Fusion, 2022
2021
IEEE Trans. Cogn. Commun. Netw., 2021
Towards Overfitting Avoidance: Tuning-Free Tensor-Aided Multi-User Channel Estimation for 3D Massive MIMO Communications.
IEEE J. Sel. Top. Signal Process., 2021
Edge Learning With Unmanned Ground Vehicle: Joint Path, Energy, and Sample Size Planning.
IEEE Internet Things J., 2021
Proceedings of the IEEE Wireless Communications and Networking Conference, 2021
Proceedings of the 20th IEEE International Conference on Trust, 2021
Probabilistic Tensor Train Decomposition with Automatic Rank Determination from Noisy Data.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2021
Digital Twin-Aided Learning to Enable Robust Beamforming: Limited Feedback Meets Deep Generative Models.
Proceedings of the 22nd IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2021
Learning Enhanced Beamforming Vector From CQIs in 5G NR FDD Massive MIMO Systems: A Tuning-free Approach.
Proceedings of the 22nd IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2021
Overfitting Avoidance in Tensor Train Factorization and Completion: Prior Analysis and Inference.
Proceedings of the IEEE International Conference on Data Mining, 2021
Pushing The Limit of Type I Codebook For Fdd Massive Mimo Beamforming: A Channel Covariance Reconstruction Approach.
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the IEEE Global Communications Conference, 2021
2020
Learning Nonnegative Factors From Tensor Data: Probabilistic Modeling and Inference Algorithm.
IEEE Trans. Signal Process., 2020
Towards Probabilistic Tensor Canonical Polyadic Decomposition 2.0: Automatic Tensor Rank Learning Using Generalized Hyperbolic Prior.
CoRR, 2020
Proceedings of the Machine Learning for Cyber Security - Third International Conference, 2020
Proceedings of the 11th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2020
Distributed Nonnegative Tensor Canonical Polyadic Decomposition With Automatic Rank Determination.
Proceedings of the 11th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2020
2019
IEEE J. Sel. Top. Signal Process., 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
2018
IEEE Trans. Signal Process., 2018
2017
IEEE Trans. Signal Process., 2017
Channel estimation in full-dimensional massive MIMO system using one training symbol.
Proceedings of the 18th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2017
2016
Fully distributed clock synchronization in wireless sensor networks under exponential delays.
Signal Process., 2016
2015
Subspace Identification for DOA Estimation in Massive/Full-Dimension MIMO Systems: Bad Data Mitigation and Automatic Source Enumeration.
IEEE Trans. Signal Process., 2015
Proceedings of the 2015 IEEE Global Communications Conference, 2015
2014
Fully-distributed joint clock synchronization and ranging in wireless sensor networks under exponential delays.
Proceedings of the IEEE International Conference on Communication Systems, 2014
2013
Optimal invariant detection of a monochromatic plane wave with five unknown parameters.
Proceedings of the 2013 IEEE China Summit and International Conference on Signal and Information Processing, 2013