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ORCIDLei Cheng 0003
Person information
- affiliation: Zhejiang University, College of Information Science and Electronic Engineering, Hangzhou, China
- affiliation (former): University of Hong Kong, Department of Electrical and Electronic Engineering, Hong Kong
Other persons with the same name
- Lei Cheng — disambiguation page
- Lei Cheng 0001 — Synplicity, Inc., Sunnyvale, CA, USA (and 1 more)
- Lei Cheng 0002
![[0000-0002-0584-4128]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-0584-4128")
— Northwestern Polytechnical University, School of Aeronautics, Xi'an, China - Lei Cheng 0004 — Wuhan University, Institute for Digital Library, China
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2020 – today
- 2025
[j28]Xueke Tong, Hancheng Zhu, Lei Cheng, Yik-Chung Wu:
Revisiting trace norm minimization for tensor Tucker completion: A direct multilinear rank learning approach. Pattern Recognit. 158: 110995 (2025)- 2024
- [j27]Panqi Chen, Lei Cheng:
Estimating Channels With Hundreds of Sub-Paths for MU-MIMO Uplink: A Structured High-Rank Tensor Approach. IEEE Signal Process. Lett. 31: 2320-2324 (2024) - [j26]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: 942-957 (2024) - [j25]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: 1032-1048 (2024) - [j24]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: 1219-1234 (2024) - [j23]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): 8571-8587 (2024) - [c25]Hao Zhang, Qingfeng Lin, Yang Li, Lei Cheng, Yik-Chung Wu:
Bayesian Activity Detection for Massive Connectivity in Cell-Free IoT Networks. ICASSP 2024: 8871-8875 - [i15]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 abs/2401.01738 (2024) - [i14]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. CoRR abs/2401.16775 (2024) - [i13]Xueke Tong, Hancheng Zhu, Lei Cheng, Yik-Chung Wu:
Revisiting Trace Norm Minimization for Tensor Tucker Completion: A Direct Multilinear Rank Learning Approach. CoRR abs/2409.05139 (2024) - 2023
- [j22]Le Xu, Lei Cheng, Ngai Wong, Yik-Chung Wu:
Tensor train factorization under noisy and incomplete data with automatic rank estimation. Pattern Recognit. 141: 109650 (2023) - [j21]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: 108826 (2023) - [j20]Zhongtao Chen, Lei Cheng, Yik-Chung Wu:
Accelerating probabilistic tensor canonical polyadic decomposition with nonnegative factors: An inexact BCD Approach. Signal Process. 207: 108966 (2023) - [j19]Xingyu Ji, Lei Cheng, Hangfang Zhao:
Multipath Time-Delay Estimation With Impulsive Noise via Bayesian Compressive Sensing. IEEE Signal Process. Lett. 30: 937-941 (2023) - [j18]Xueke Tong, Lei Cheng, Yik-Chung Wu:
Bayesian Tensor Tucker Completion With a Flexible Core. IEEE Trans. Signal Process. 71: 4077-4091 (2023) - [c24]Zhongtao Chen, Lei Cheng, Yik-Chung Wu:
Enhanced Tensor Rank Learning in Bayesian PARAFAC2 for Noisy Irregular Tensor Data. EUSIPCO 2023: 645-649 - [c23]Ying Li, Lei Cheng, Feng Yin, Michael Minyi Zhang, Sergios Theodoridis:
Overcoming Posterior Collapse in Variational Autoencoders Via EM-Type Training. ICASSP 2023: 1-5 - [c22]Zhidi Lin, Lei Cheng, Feng Yin, Lexi Xu, Shuguang Cui:
Output-Dependent Gaussian Process State-Space Model. ICASSP 2023: 1-5 - [c21]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: 931-936 - [i12]Le Xu, Lei Cheng, Ngai Wong, Yik-Chung Wu:
To Fold or Not to Fold: Graph Regularized Tensor Train for Visual Data Completion. CoRR abs/2306.11123 (2023) - 2022
- [j17]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): 2460-2464 (2022) - [j16]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): 17309-17322 (2022) - [j15]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): 1247-1263 (2022) - [j14]Xingyu Ji, Lei Cheng, Hangfang Zhao:
Physics-Guided Reduced-Order Representation of Three-Dimensional Sound Speed Fields with Ocean Mesoscale Eddies. Remote. Sens. 14(22): 5860 (2022) - [j13]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): 18-52 (2022) - [j12]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): 6325-6340 (2022) - [j11]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: 1834-1849 (2022) - [j10]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): 10145-10161 (2022) - [c20]Richard Cornelius Suwandi, Zhidi Lin, Yiyong Sun, Zhiguo Wang, Lei Cheng, Feng Yin:
Gaussian Process Regression with Grid Spectral Mixture Kernel: Distributed Learning for Multidimensional Data. FUSION 2022: 1-8 - [c19]Xinyun Hua, Siyuan Li, Lei Cheng:
Symmetric Tensor Canonical Polyadic Decomposition Via Probabilistic Inference. SAM 2022: 395-399 - [c18]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: 530-535 - [i11]Chunhui Zhang, Xiaoming Yuan, Qianyun Zhang, Guangxu Zhu, Lei Cheng, Ning Zhang:
Towards Tailored Models on Private AIoT Devices: Federated Direct Neural Architecture Search. CoRR abs/2202.11490 (2022) - [i10]Yangge Chen, Lei Cheng, Yik-Chung Wu:
Bayesian Low-rank Matrix Completion with Dual-graph Embedding: Prior Analysis and Tuning-free Inference. CoRR abs/2203.10044 (2022) - [i9]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 abs/2205.14283 (2022) - [i8]Zhidi Lin, Lei Cheng, Feng Yin, Lexi Xu, Shuguang Cui:
Output-Dependent Gaussian Process State-Space Model. CoRR abs/2212.07608 (2022) - 2021
- [j9]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): 2959-2975 (2021) - [j8]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): 832-846 (2021) - [j7]Yihong Dong, Xiaohan Jiang, Lei Cheng, Qingjiang Shi:
SSRCNN: A Semi-Supervised Learning Framework for Signal Recognition. IEEE Trans. Cogn. Commun. Netw. 7(3): 780-789 (2021) - [c17]Xiaodan Shao, Lei Cheng, Xiaoming Chen, Chongwen Huang, Derrick Wing Kwan Ng:
A Bayesian Tensor Approach to Enable RIS for 6G Massive Unsourced Random Access. GLOBECOM 2021: 1-7 - [c16]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: 4785-4789 - [c15]Le Xu, Lei Cheng, Ngai Wong, Yik-Chung Wu:
Overfitting Avoidance in Tensor Train Factorization and Completion: Prior Analysis and Inference. ICDM 2021: 1439-1444 - [c14]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: 21-25 - [c13]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: 26-30 - [c12]Le Xu, Lei Cheng, Ngai Wong, Yik-Chung Wu:
Probabilistic Tensor Train Decomposition with Automatic Rank Determination from Noisy Data. SSP 2021: 461-465 - [c11]Chunhui Zhang, Xiaoming Yuan, Qianyun Zhang, Guangxu Zhu, Lei Cheng, Ning Zhang:
Privacy-Preserving Neural Architecture Search Across Federated IoT Devices. TrustCom 2021: 1434-1438 - [c10]Yihong Dong, Xiaohan Jiang, Lei Cheng, Qingjiang Shi:
Semi-Supervised Learning For Signal Recognition With Sparsity And Robust Promotion. WCNC 2021: 1-6 - [i7]Xiaodan Shao, Lei Cheng, Xiaoming Chen, Chongwen Huang, Derrick Wing Kwan Ng:
A Bayesian Tensor Approach to Enable RIS for 6G Massive Unsourced Random Access. CoRR abs/2108.11123 (2021) - [i6]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. CoRR abs/2112.14387 (2021) - 2020
- [j6]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: 1792-1806 (2020) - [c9]Lei Cheng, Xueke Tong, Yik-Chung Wu:
Distributed Nonnegative Tensor Canonical Polyadic Decomposition With Automatic Rank Determination. SAM 2020: 1-5 - [c8]Zhongtao Chen, Lei Cheng:
Mitigating Outliers for Bayesian Mixture of Factor Analyzers. SAM 2020: 1-5 - [c7]Xuefeng Xu, Yanqing Yao, Lei Cheng:
Deep Learning Algorithms Design and Implementation Based on Differential Privacy. ML4CS (1) 2020: 317-330 - [c6]Lei Cheng, Liang Liu, Shuguang Cui:
A Covariance-based User Activity Detection and Channel Estimation Approach with Novel Pilot Design. SPAWC 2020: 1-5 - [i5]Lei Cheng, Liang Liu, Shuguang Cui:
A Covariance-based User Activity Detection and Channel Estimation Approach with Novel Pilot Design. CoRR abs/2004.09714 (2020) - [i4]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 abs/2009.02472 (2020) - [i3]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 abs/2009.03140 (2020) - [i2]Chunhui Zhang, Yongyuan Liang, Xiaoming Yuan, Lei Cheng:
FDNAS: Improving Data Privacy and Model Diversity in AutoML. CoRR abs/2011.03372 (2020)
2010 – 2019
- 2019
- [j5]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): 974-988 (2019) - [c5]Shuai Wang, Lei Cheng, Minghua Xia, Yik-Chung Wu:
Massive MIMO Multicast Beamforming via Accelerated Random Coordinate Descent. ICASSP 2019: 4494-4498 - [i1]Shuai Wang, Lei Cheng, Minghua Xia, Yik-Chung Wu:
Massive MIMO Multicast Beamforming Via Accelerated Random Coordinate Descent. CoRR abs/1902.02447 (2019) - 2018
- [j4]Lei Cheng, Yik-Chung Wu, H. Vincent Poor:
Scaling Probabilistic Tensor Canonical Polyadic Decomposition to Massive Data. IEEE Trans. Signal Process. 66(21): 5534-5548 (2018) - 2017
- [j3]Lei Cheng, Yik-Chung Wu, H. Vincent Poor:
Probabilistic Tensor Canonical Polyadic Decomposition With Orthogonal Factors. IEEE Trans. Signal Process. 65(3): 663-676 (2017) - [c4]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: 1-5 - 2016
- [j2]Bin Luo, Lei Cheng, Yik-Chung Wu:
Fully distributed clock synchronization in wireless sensor networks under exponential delays. Signal Process. 125: 261-273 (2016) - 2015
- [j1]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): 5897-5909 (2015) - [c3]Lei Cheng, Yik-Chung Wu, Lingjia Liu, Jianzhong Zhang:
Robust Tensor-Based DOA Estimation in Massive / Full-Dimension MIMO System. GLOBECOM 2015: 1-6 - 2014
- [c2]Bin Luo, Lei Cheng, Yik-Chung Wu:
Fully-distributed joint clock synchronization and ranging in wireless sensor networks under exponential delays. ICCS 2014: 152-156 - 2013
- [c1]Zibin Yu, Lei Cheng, Hangfang Zhao, Xianyi Gong:
Optimal invariant detection of a monochromatic plane wave with five unknown parameters. ChinaSIP 2013: 58-62
Coauthor Index
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