Zhilin Chen

Zhilin Chen

University of Toronto

H-index: 12

North America-Canada

About Zhilin Chen

Zhilin Chen, With an exceptional h-index of 12 and a recent h-index of 11 (since 2020), a distinguished researcher at University of Toronto, specializes in the field of Wireless Communications, Signal Processing, Communication Theory.

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

A Novel Extrapolation Technique to Accelerate WMMSE

Grant-Free Random Access via Covariance-Based Approach

Heterogeneous transformer: A scale adaptable neural network architecture for device activity detection

Phase transition analysis for covariance-based massive random access with massive MIMO

Accelerating coordinate descent via active set selection for device activity detection for multi-cell massive random access

Sparse activity detection in multi-cell massive MIMO exploiting channel large-scale fading

Deep active learning approach to adaptive beamforming for mmwave initial alignment

An Efficient Active Set Algorithm for Covariance Based Joint Data and Activity Detection for Massive Random Access with Massive MIMO

Zhilin Chen Information

University

Position

___

Citations(all)

830

Citations(since 2020)

730

Cited By

364

hIndex(all)

12

hIndex(since 2020)

11

i10Index(all)

13

i10Index(since 2020)

11

Email

University Profile Page

Google Scholar

Zhilin Chen Skills & Research Interests

Wireless Communications

Signal Processing

Communication Theory

Top articles of Zhilin Chen

A Novel Extrapolation Technique to Accelerate WMMSE

2023/6/4

Zhilin Chen
Zhilin Chen

H-Index: 8

Grant-Free Random Access via Covariance-Based Approach

Next Generation Multiple Access.(Editors: Yuanwei Liu, Liang Liu, Zhiguo Ding, and Xuemin (Sherman) Shen), Wiley

2023

Heterogeneous transformer: A scale adaptable neural network architecture for device activity detection

IEEE Transactions on Wireless Communications

2022/11/8

Yang Li
Yang Li

H-Index: 4

Zhilin Chen
Zhilin Chen

H-Index: 8

Phase transition analysis for covariance-based massive random access with massive MIMO

IEEE Transactions on Information Theory

2020

Accelerating coordinate descent via active set selection for device activity detection for multi-cell massive random access

2021/9/27

Sparse activity detection in multi-cell massive MIMO exploiting channel large-scale fading

IEEE Transactions on Signal Processing

2021/6/22

Deep active learning approach to adaptive beamforming for mmwave initial alignment

Journal on Selected Areas in Communications

2021/6/7

An Efficient Active Set Algorithm for Covariance Based Joint Data and Activity Detection for Massive Random Access with Massive MIMO

2021/6/6

See List of Professors in Zhilin Chen University(University of Toronto)

Co-Authors

academic-engine