Wei Dai

Wei Dai

Imperial College London

H-index: 27

Europe-United Kingdom

About Wei Dai

Wei Dai, With an exceptional h-index of 27 and a recent h-index of 19 (since 2020), a distinguished researcher at Imperial College London, specializes in the field of Signal processing, information theory, random matrix theory.

His recent articles reflect a diverse array of research interests and contributions to the field:

Proximal Dogleg Opportunistic Majorization for Nonconvex and Nonsmooth Optimization

Weighted Errors-in-Variables Modelling for Detection of Cortico-Muscular Couplings

Joint Multi-Band DOA Estimation Using Low-Rank Matrix Recovery

Multispectral RF Imaging Using Multiple Narrow-Band FMCW Signals

Accelerated Recovery of Spectrally Sparse Signals Viamodified Proximal Gradient in Hankel Space

Towards Scalable Semidefinite Programming: Optimal Metric ADMM with A Worst-case Performance Guarantee

SS-ADMM: Stationary and Sparse Granger Causal Discovery for Cortico-Muscular Coupling

Structured errors-in-variables modelling for cortico-muscular coherence enhancement

Wei Dai Information

University

Position

___

Citations(all)

5376

Citations(since 2020)

1751

Cited By

4624

hIndex(all)

27

hIndex(since 2020)

19

i10Index(all)

45

i10Index(since 2020)

25

Email

University Profile Page

Imperial College London

Google Scholar

View Google Scholar Profile

Wei Dai Skills & Research Interests

Signal processing

information theory

random matrix theory

Top articles of Wei Dai

Title

Journal

Author(s)

Publication Date

Proximal Dogleg Opportunistic Majorization for Nonconvex and Nonsmooth Optimization

arXiv preprint arXiv:2402.19176

Yiming Zhou

Wei Dai

2024/2/29

Weighted Errors-in-Variables Modelling for Detection of Cortico-Muscular Couplings

Zhenghao Guo

Verity McClelland

Wei Dai

Fengyu Cong

Zoran Cvetkovic

2024/4/16

Joint Multi-Band DOA Estimation Using Low-Rank Matrix Recovery

Zhengang Guo

Wei Dai

2024/4/14

Multispectral RF Imaging Using Multiple Narrow-Band FMCW Signals

Ziyu Zhou

Wei Dai

2024/4/14

Accelerated Recovery of Spectrally Sparse Signals Viamodified Proximal Gradient in Hankel Space

Xi Yao

Wei Dai

2024/4/14

Towards Scalable Semidefinite Programming: Optimal Metric ADMM with A Worst-case Performance Guarantee

arXiv preprint arXiv:2403.11533

Yifan Ran

Stefan Vlaski

Wei Dai

2024/3/18

SS-ADMM: Stationary and Sparse Granger Causal Discovery for Cortico-Muscular Coupling

Farwa Abbas

Verity McClelland

Zoran Cvetkovic

Wei Dai

2023/6/4

Structured errors-in-variables modelling for cortico-muscular coherence enhancement

ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Zhenghao Guo

Verity M McClelland

Wei Dai

Zoran Cvetkovic

2023/6/4

A Preconditioned Hessian Proximal Algorithm for Spectral Compressed Sensing

Xi Yao

Wei Dai

2023/12/10

Passive Joint Emitter Localization with Sensor Self-Calibration

Remote Sensing

Guangbin Zhang

Hengyan Liu

Wei Dai

Tianyao Huang

Yimin Liu

...

2023/1/23

Gridless Joint Multi-Band DOA Estimation for Spectrum Sensing

Zhengang Guo

Wei Dai

2023/12/10

A Multi-Band Active Array for Direction-of-Arrival Estimation

Nuofan Mao

Wei Dai

2023/12/10

A projected proximal gradient method for efficient recovery of spectrally sparse signals

Xi Yao

Wei Dai

2023/9/4

Gridless Joint Delay-DoA-Doppler Estimation Using OFDM Signals: A Multilevel Hankel Matrix Approach

Ziyu Zhou

Wei Dai

2022/8/29

Blind two-dimensional super-resolution and its performance guarantee

IEEE Transactions on Signal Processing

Mohamed A Suliman

Wei Dai

2022/4/27

Unconstrained Proximal Operator: the Optimal Parameter for the Douglas-Rachford Type Primal-Dual Methods

arXiv preprint arXiv:2204.02642

Yifan Ran

Wei Dai

2022/4/6

Multi-target detection by distributed passive radar systems without reference signals

Ruiqi Liu

Wei Dai

Chao Zhang

2021/3/29

Dictionary learning strategies for cortico-muscular coherence detection and estimation

Shengjia Du

Qi Yu

Wei Dai

Verity McClelland

Zoran Cvetkovic

2021/11/1

Mathematical theory of atomic norm denoising in blind two-dimensional super-resolution

IEEE Transactions on Signal Processing

Mohamed A Suliman

Wei Dai

2021/2/26

Dictionary Learning Using Rank-One Atomic Decomposition (ROAD)

arXiv preprint arXiv:2110.12786

Cheng Cheng

Wei Dai

2021/10/25

See List of Professors in Wei Dai University(Imperial College London)

Co-Authors

H-index: 46
Olgica Milenkovic

Olgica Milenkovic

University of Illinois at Urbana-Champaign

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