Lei Cheng

87 papers A* 1B 5C 1Misc 8Journal 59Unranked 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
Rank-Revealing Bayesian Block-Term Tensor Completion With Graph Information.
IEEE Trans. Signal Process.
Zhongtao Chen, Lei Cheng, Yik-Chung Wu, H. Vincent Poor
2026 J jnl
To Fold or Not to Fold: Graph Regularized Tensor Train for Visual Data Completion.
IEEE Trans. Pattern Anal. Mach. Intell.
Le Xu, Lei Cheng, Ngai Wong, Yik-Chung Wu
2025 Misc conf
Basis Function Learning for Variable-Length and Continuous-Indexed Signals.
ICASSP
Siyuan Li, Lei Cheng, Feng Yin, Jianlong Li, Peter Gerstoft
2025 J jnl
Domain-Factored Untrained Deep Prior for Spectrum Cartography.
IEEE Signal Process. Lett.
Subash Timilsina, Sagar Shrestha, Lei Cheng, Xiao Fu
2025 J jnl
FieldFormer: Self-Supervised Reconstruction of Physical Fields via Tensor Attention Prior.
IEEE Trans. Signal Process.
Panqi Chen, Siyuan Li, Lei Cheng, Xiao Fu, Yik-Chung Wu, Sergios Theodoridis
2025 J jnl
Generalized Temporal Tensor Decomposition with Rank-revealing Latent-ODE.
CoRR
Panqi Chen, Lei Cheng, Jianlong Li, Weichang Li, Weiqing Liu, Jiang Bian, Shikai Fang
2025 J jnl
Generating Full-field Evolution of Physical Dynamics from Irregular Sparse Observations.
CoRR
Panqi Chen, Yifan Sun, Lei Cheng, Yang Yang, Weichang Li, Yang Liu, Weiqing Liu, Jiang Bian, Shikai Fang
2025 J jnl
Less Is More: Generating Time Series with LLaMA-Style Autoregression in Simple Factorized Latent Spaces.
CoRR
Siyuan Li, Yifan Sun, Lei Cheng, Lewen Wang, Yang Liu, Weiqing Liu, Jianlong Li, Jiang Bian, Shikai Fang
2025 Misc conf
Radio Map Estimation via Latent-Domain Plug-and-Play Denoisers.
ICASSP
Le Xu, Lei Cheng, Junting Chen, Wenqiang Pu, Xiao Fu
2025 J jnl
Revisiting trace norm minimization for tensor Tucker completion: A direct multilinear rank learning approach.
Pattern Recognit.
Xueke Tong, Hancheng Zhu, Lei Cheng, Yik-Chung Wu
2025 — conf
Sensing Radio Maps via Bayesian Tensor Learning.
ICC
Zhongtao Chen, Lei Cheng, Yik-Chung Wu
2025 J jnl
Tensor-Based Channel Estimation for Extremely Large-Scale MIMO-OFDM With Dynamic Metasurface Antennas.
IEEE Trans. Wirel. Commun.
Ruoyu Zhang, Guangyi Chen, Lei Cheng, Xinrong Guan, Qingqing Wu, Wen Wu, Rui Zhang
2025 J jnl
Tensor-Based Channel Estimation for Near-Field Millimeter Wave XL-MIMO Systems.
IEEE Wirel. Commun. Lett.
Siyu Cheng, Li You, Zhenzhou Jin, Lei Cheng, Xiqi Gao
2025 J jnl
Triple IRS-Aided Communications: Row-Column Sparsity Enhanced Bayesian Tensor Learning for Channel Estimation.
IEEE Trans. Commun.
Limei Hu, Xiaodan Shao, Tingzhi Qiu, Feng Chen, Lei Cheng, Qingqing Wu
2025 J jnl
When Bayesian Tensor Completion Meets Multioutput Gaussian Processes: Functional Universality and Rank Learning.
CoRR
Siyuan Li, Shikai Fang, Lei Cheng, Feng Yin, Yik-Chung Wu, Peter Gerstoft, Sergios Theodoridis
2025 J jnl
When Bayesian Tensor Completion Meets Multioutput Gaussian Processes: Functional Universality and Rank Learning.
IEEE Trans. Signal Process.
Siyuan Li, Shikai Fang, Lei Cheng, Feng Yin, Yik-Chung Wu, Peter Gerstoft, Sergios Theodoridis
2024 J jnl
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.
Hao Zhang, Qingfeng Lin, Yang Li, Lei Cheng, Yik-Chung Wu
2024 J jnl
Activity Detection for Massive Connectivity in Cell-free Networks with Unknown Large-scale Fading, Channel Statistics, Noise Variance, and Activity Probability: A Bayesian Approach.
CoRR
Hao Zhang, Qingfeng Lin, Yang Li, Lei Cheng, Yik-Chung Wu
2024 Misc conf
Bayesian Activity Detection for Massive Connectivity in Cell-Free IoT Networks.
ICASSP
Hao Zhang, Qingfeng Lin, Yang Li, Lei Cheng, Yik-Chung Wu
2024 J jnl
Channel Estimation for Movable-Antenna MIMO Systems via Tensor Decomposition.
IEEE Wirel. Commun. Lett.
Ruoyu Zhang, Lei Cheng, Wei Zhang, Xinrong Guan, Yueming Cai, Wen Wu, Rui Zhang
2024 J jnl
Downlink Channel Covariance Matrix Reconstruction for FDD Massive MIMO Systems With Limited Feedback.
IEEE Trans. Signal Process.
Kai Li, Ying Li, Lei Cheng, Qingjiang Shi, Zhi-Quan Luo
2024 J jnl
Enhancing Multi-Stream Beamforming Through CQIs for 5G NR FDD Massive MIMO Communications: A Tuning-Free Scheme.
IEEE Trans. Wirel. Commun.
Kai Li, Ying Li, Lei Cheng, Zhi-Quan Luo
2024 J jnl
Estimating Channels With Hundreds of Sub-Paths for MU-MIMO Uplink: A Structured High-Rank Tensor Approach.
IEEE Signal Process. Lett.
Panqi Chen, Lei Cheng
2024 J jnl
Integrated Sensing and Communication With Massive MIMO: A Unified Tensor Approach for Channel and Target Parameter Estimation.
IEEE Trans. Wirel. Commun.
Ruoyu Zhang, Lei Cheng, Shuai Wang, Yi Lou, Yulong Gao, Wen Wu, Derrick Wing Kwan Ng
2024 J jnl
Integrated Sensing and Communication with Massive MIMO: A Unified Tensor Approach for Channel and Target Parameter Estimation.
CoRR
Ruoyu Zhang, Lei Cheng, Shuai Wang, Yi Lou, Yulong Gao, Wen Wu, Derrick Wing Kwan Ng
2024 J jnl
Overcoming Beam Squint in mmWave MIMO Channel Estimation: A Bayesian Multi-Band Sparsity Approach.
IEEE Trans. Signal Process.
Le Xu, Lei Cheng, Ngai Wong, Yik-Chung Wu, H. Vincent Poor
2024 J jnl
Revisiting Trace Norm Minimization for Tensor Tucker Completion: A Direct Multilinear Rank Learning Approach.
CoRR
Xueke Tong, Hancheng Zhu, Lei Cheng, Yik-Chung Wu
2023 J jnl
Accelerating probabilistic tensor canonical polyadic decomposition with nonnegative factors: An inexact BCD Approach.
Signal Process.
Zhongtao Chen, Lei Cheng, Yik-Chung Wu
2023 J jnl
Bayesian Tensor Tucker Completion With a Flexible Core.
IEEE Trans. Signal Process.
Xueke Tong, Lei Cheng, Yik-Chung Wu
2023 J jnl
Bayesian low-rank matrix completion with dual-graph embedding: Prior analysis and tuning-free inference.
Signal Process.
Yangge Chen, Lei Cheng, Yik-Chung Wu
2023 — conf
Enhanced Tensor Rank Learning in Bayesian PARAFAC2 for Noisy Irregular Tensor Data.
EUSIPCO
Zhongtao Chen, Lei Cheng, Yik-Chung Wu
2023 J jnl
Multipath Time-Delay Estimation With Impulsive Noise via Bayesian Compressive Sensing.
IEEE Signal Process. Lett.
Xingyu Ji, Lei Cheng, Hangfang Zhao
2023 Misc conf
Output-Dependent Gaussian Process State-Space Model.
ICASSP
Zhidi Lin, Lei Cheng, Feng Yin, Lexi Xu, Shuguang Cui
2023 Misc conf
Overcoming Posterior Collapse in Variational Autoencoders Via EM-Type Training.
ICASSP
Ying Li, Lei Cheng, Feng Yin, Michael Minyi Zhang, Sergios Theodoridis
2023 — conf
Target Sensing in Wideband Massive MIMO-ISAC Systems in the Presence of Beam Squint.
ICC Workshops
Ruoyu Zhang, Lei Cheng, Shuai Wang, Yi Lou, Chen Miao, Wen Wu, Derrick Wing Kwan Ng
2023 J jnl
Tensor train factorization under noisy and incomplete data with automatic rank estimation.
Pattern Recognit.
Le Xu, Lei Cheng, Ngai Wong, Yik-Chung Wu
2023 J jnl
To Fold or Not to Fold: Graph Regularized Tensor Train for Visual Data Completion.
CoRR
Le Xu, Lei Cheng, Ngai Wong, Yik-Chung Wu
2022 J jnl
Bayesian Low-rank Matrix Completion with Dual-graph Embedding: Prior Analysis and Tuning-free Inference.
CoRR
Yangge Chen, Lei Cheng, Yik-Chung Wu
2022 C conf
Gaussian Process Regression with Grid Spectral Mixture Kernel: Distributed Learning for Multidimensional Data.
FUSION
Richard Cornelius Suwandi, Zhidi Lin, Yiyong Sun, Zhiguo Wang, Lei Cheng, Feng Yin
2022 J jnl
Output-Dependent Gaussian Process State-Space Model.
CoRR
Zhidi Lin, Lei Cheng, Feng Yin, Lexi Xu, Shuguang Cui
2022 J jnl
Physics-Guided Reduced-Order Representation of Three-Dimensional Sound Speed Fields with Ocean Mesoscale Eddies.
Remote. Sens.
Xingyu Ji, Lei Cheng, Hangfang Zhao
2022 J jnl
Reconfigurable Intelligent Surface-Aided 6G Massive Access: Coupled Tensor Modeling and Sparse Bayesian Learning.
IEEE Trans. Wirel. Commun.
Xiaodan Shao, Lei Cheng, Xiaoming Chen, Chongwen Huang, Derrick Wing Kwan Ng
2022 J jnl
Rethinking Bayesian Learning for Data Analysis: The Art of Prior and Inference in Sparsity-Aware Modeling.
CoRR
Lei Cheng, Feng Yin, Sergios Theodoridis, Sotirios Chatzis, Tsung-Hui Chang
2022 J jnl
Rethinking Bayesian Learning for Data Analysis: The art of prior and inference in sparsity-aware modeling.
IEEE Signal Process. Mag.
Lei Cheng, Feng Yin, Sergios Theodoridis, Sotirios Chatzis, Tsung-Hui Chang
2022 J jnl
Sparsity-Structured Tensor-Aided Channel Estimation for RIS-Assisted MIMO Communications.
IEEE Commun. Lett.
Xinran Zhang, Xiaodan Shao, Yabo Guo, Yanhui Lu, Lei Cheng
2022 — conf
Symmetric Tensor Canonical Polyadic Decomposition Via Probabilistic Inference.
SAM
Xinyun Hua, Siyuan Li, Lei Cheng
2022 J jnl
Tensor Decomposition-Based Channel Estimation for Hybrid mmWave Massive MIMO in High-Mobility Scenarios.
IEEE Trans. Commun.
Ruoyu Zhang, Lei Cheng, Shuai Wang, Yi Lou, Wen Wu, Derrick Wing Kwan Ng
2022 J jnl
Toward Tailored Models on Private AIoT Devices: Federated Direct Neural Architecture Search.
IEEE Internet Things J.
Chunhui Zhang, Xiaoming Yuan, Qianyun Zhang, Guangxu Zhu, Lei Cheng, Ning Zhang
2022 J jnl
Towards Flexible Sparsity-Aware Modeling: Automatic Tensor Rank Learning Using the Generalized Hyperbolic Prior.
IEEE Trans. Signal Process.
Lei Cheng, Zhongtao Chen, Qingjiang Shi, Yik-Chung Wu, Sergios Theodoridis
2022 J jnl
Towards Tailored Models on Private AIoT Devices: Federated Direct Neural Architecture Search.
CoRR
Chunhui Zhang, Xiaoming Yuan, Qianyun Zhang, Guangxu Zhu, Lei Cheng, Ning Zhang
2022 B conf
Training Time Minimization in Quantized Federated Edge Learning under Bandwidth Constraint.
WCNC
Peixi Liu, Jiamo Jiang, Guangxu Zhu, Lei Cheng, Wei Jiang, Wu Luo, Ying Du, Zhiqin Wang
2022 J jnl
Training time minimization for federated edge learning with optimized gradient quantization and bandwidth allocation.
Frontiers Inf. Technol. Electron. Eng.
Peixi Liu, Jiamo Jiang, Guangxu Zhu, Lei Cheng, Wei Jiang, Wu Luo, Ying Du, Zhiqin Wang
2021 B conf
A Bayesian Tensor Approach to Enable RIS for 6G Massive Unsourced Random Access.
GLOBECOM
Xiaodan Shao, Lei Cheng, Xiaoming Chen, Chongwen Huang, Derrick Wing Kwan Ng
2021 J jnl
A Bayesian Tensor Approach to Enable RIS for 6G Massive Unsourced Random Access.
CoRR
Xiaodan Shao, Lei Cheng, Xiaoming Chen, Chongwen Huang, Derrick Wing Kwan Ng
2021 — conf
Digital Twin-Aided Learning to Enable Robust Beamforming: Limited Feedback Meets Deep Generative Models.
SPAWC
Ying Li, Kai Li, Lei Cheng, Qingjiang Shi, Zhi-Quan Luo
2021 J jnl
Edge Learning With Unmanned Ground Vehicle: Joint Path, Energy, and Sample Size Planning.
IEEE Internet Things J.
Dan Liu, Shuai Wang, Zhigang Wen, Lei Cheng, Miaowen Wen, Yik-Chung Wu
2021 — conf
Learning Enhanced Beamforming Vector From CQIs in 5G NR FDD Massive MIMO Systems: A Tuning-free Approach.
SPAWC
Kai Li, Ying Li, Lei Cheng, Qingjiang Shi, Zhi-Quan Luo
2021 J jnl
On the Complexity Reduction of Beam Selection Algorithms for Beamspace MIMO Systems.
IEEE Wirel. Commun. Lett.
Qianyun Zhang, Xinwei Li, Bi-Yi Wu, Lei Cheng, Yue Gao
2021 A* conf
Overfitting Avoidance in Tensor Train Factorization and Completion: Prior Analysis and Inference.
ICDM
Le Xu, Lei Cheng, Ngai Wong, Yik-Chung Wu
2021 J jnl
Power Profile-Based Antenna Selection for Millimeter Wave MIMO With an All-Planar Lens Antenna Array.
IEEE Access
Qianyun Zhang, Xinwei Li, Lei Cheng, Yuanwei Liu, Yue Gao
2021 B conf
Privacy-Preserving Neural Architecture Search Across Federated IoT Devices.
TrustCom
Chunhui Zhang, Xiaoming Yuan, Qianyun Zhang, Guangxu Zhu, Lei Cheng, Ning Zhang
2021 — conf
Probabilistic Tensor Train Decomposition with Automatic Rank Determination from Noisy Data.
SSP
Le Xu, Lei Cheng, Ngai Wong, Yik-Chung Wu
2021 Misc conf
Pushing The Limit of Type I Codebook For Fdd Massive Mimo Beamforming: A Channel Covariance Reconstruction Approach.
ICASSP
Kai Li, Ying Li, Lei Cheng, Qingjiang Shi, Zhi-Quan Luo
2021 J jnl
SSRCNN: A Semi-Supervised Learning Framework for Signal Recognition.
IEEE Trans. Cogn. Commun. Netw.
Yihong Dong, Xiaohan Jiang, Lei Cheng, Qingjiang Shi
2021 B conf
Semi-Supervised Learning For Signal Recognition With Sparsity And Robust Promotion.
WCNC
Yihong Dong, Xiaohan Jiang, Lei Cheng, Qingjiang Shi
2021 J jnl
Towards Overfitting Avoidance: Tuning-Free Tensor-Aided Multi-User Channel Estimation for 3D Massive MIMO Communications.
IEEE J. Sel. Top. Signal Process.
Lei Cheng, Qingjiang Shi
2021 J jnl
Training Time Minimization for Federated Edge Learning with Optimized Gradient Quantization and Bandwidth Allocation.
CoRR
Peixi Liu, Jiamo Jiang, Guangxu Zhu, Lei Cheng, Wei Jiang, Wu Luo, Ying Du, Zhiqin Wang
2020 — conf
A Covariance-based User Activity Detection and Channel Estimation Approach with Novel Pilot Design.
SPAWC
Lei Cheng, Liang Liu, Shuguang Cui
2020 J jnl
A Covariance-based User Activity Detection and Channel Estimation Approach with Novel Pilot Design.
CoRR
Lei Cheng, Liang Liu, Shuguang Cui
2020 — conf
Deep Learning Algorithms Design and Implementation Based on Differential Privacy.
ML4CS (1)
Xuefeng Xu, Yanqing Yao, Lei Cheng
2020 — conf
Distributed Nonnegative Tensor Canonical Polyadic Decomposition With Automatic Rank Determination.
SAM
Lei Cheng, Xueke Tong, Yik-Chung Wu
2020 J jnl
Edge Learning with Unmanned Ground Vehicle: Joint Path, Energy and Sample Size Planning.
CoRR
Dan Liu, Shuai Wang, Zhigang Wen, Lei Cheng, Miaowen Wen, Yik-Chung Wu
2020 J jnl
FDNAS: Improving Data Privacy and Model Diversity in AutoML.
CoRR
Chunhui Zhang, Yongyuan Liang, Xiaoming Yuan, Lei Cheng
2020 J jnl
Learning Nonnegative Factors From Tensor Data: Probabilistic Modeling and Inference Algorithm.
IEEE Trans. Signal Process.
Lei Cheng, Xueke Tong, Shuai Wang, Yik-Chung Wu, H. Vincent Poor
2020 — conf
Mitigating Outliers for Bayesian Mixture of Factor Analyzers.
SAM
Zhongtao Chen, Lei Cheng
2020 J jnl
Towards Probabilistic Tensor Canonical Polyadic Decomposition 2.0: Automatic Tensor Rank Learning Using Generalized Hyperbolic Prior.
CoRR
Lei Cheng, Zhongtao Chen, Qingjiang Shi, Yik-Chung Wu, Sergios Theodoridis
2019 J jnl
Irregular Array Manifold Aided Channel Estimation in Massive MIMO Communications.
IEEE J. Sel. Top. Signal Process.
Lei Cheng, Chengwen Xing, Yik-Chung Wu
2019 J jnl
Massive MIMO Multicast Beamforming Via Accelerated Random Coordinate Descent.
CoRR
Shuai Wang, Lei Cheng, Minghua Xia, Yik-Chung Wu
2019 Misc conf
Massive MIMO Multicast Beamforming via Accelerated Random Coordinate Descent.
ICASSP
Shuai Wang, Lei Cheng, Minghua Xia, Yik-Chung Wu
2018 J jnl
Scaling Probabilistic Tensor Canonical Polyadic Decomposition to Massive Data.
IEEE Trans. Signal Process.
Lei Cheng, Yik-Chung Wu, H. Vincent Poor
2017 — conf
Channel estimation in full-dimensional massive MIMO system using one training symbol.
SPAWC
Lei Cheng, Yik-Chung Wu, Shaodan Ma, Jianzhong Zhang, Lingjia Liu
2017 J jnl
Probabilistic Tensor Canonical Polyadic Decomposition With Orthogonal Factors.
IEEE Trans. Signal Process.
Lei Cheng, Yik-Chung Wu, H. Vincent Poor
2016 J jnl
Fully distributed clock synchronization in wireless sensor networks under exponential delays.
Signal Process.
Bin Luo, Lei Cheng, Yik-Chung Wu
2015 B conf
Robust Tensor-Based DOA Estimation in Massive / Full-Dimension MIMO System.
GLOBECOM
Lei Cheng, Yik-Chung Wu, Lingjia Liu, Jianzhong Zhang
2015 J jnl
Subspace Identification for DOA Estimation in Massive/Full-Dimension MIMO Systems: Bad Data Mitigation and Automatic Source Enumeration.
IEEE Trans. Signal Process.
Lei Cheng, Yik-Chung Wu, Jianzhong Zhang, Lingjia Liu
2014 Misc conf
Fully-distributed joint clock synchronization and ranging in wireless sensor networks under exponential delays.
ICCS
Bin Luo, Lei Cheng, Yik-Chung Wu
2013 — conf
Optimal invariant detection of a monochromatic plane wave with five unknown parameters.
ChinaSIP
Zibin Yu, Lei Cheng, Hangfang Zhao, Xianyi Gong