Geoffrey Ye Li (李烨)

Geoffrey Ye Li (李烨)

Imperial College London

H-index: 117

Europe-United Kingdom

About Geoffrey Ye Li (李烨)

Geoffrey Ye Li (李烨), With an exceptional h-index of 117 and a recent h-index of 81 (since 2020), a distinguished researcher at Imperial College London, specializes in the field of Signal Processing, and, Machine Learning, for, Wireless Communications.

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

Key Issues in Wireless Transmission for NTN-Assisted Internet of Things

A unified multi-task semantic communication system for multimodal data

Environment Reconstruction based on Multi-User Selection and Multi-Modal Fusion in ISAC

Deep learning for joint channel estimation and feedback in massive MIMO systems

Energy-Efficient Distributed Spiking Neural Network for Wireless Edge Intelligence

Semantic Satellite Communications Based on Generative Foundation Model

Distributed Task-Oriented Communication Networks with Multimodal Semantic Relay and Edge Intelligence

Noncoherent Orthogonal Time Frequency Space Modulation

Geoffrey Ye Li (李烨) Information

University

Position

Chair in Wireless Systems Dept EEE

Citations(all)

66484

Citations(since 2020)

30843

Cited By

46575

hIndex(all)

117

hIndex(since 2020)

81

i10Index(all)

459

i10Index(since 2020)

306

Email

University Profile Page

Imperial College London

Google Scholar

View Google Scholar Profile

Geoffrey Ye Li (李烨) Skills & Research Interests

Signal Processing

and

Machine Learning

for

Wireless Communications

Top articles of Geoffrey Ye Li (李烨)

Title

Journal

Author(s)

Publication Date

Key Issues in Wireless Transmission for NTN-Assisted Internet of Things

IEEE Internet of Things Magazine

Chenhao Qi

Jing Wang

Leyi Lyu

Lei Tan

Jinming Zhang

...

2024/1/11

A unified multi-task semantic communication system for multimodal data

IEEE Transactions on Communications

Guangyi Zhang

Qiyu Hu

Zhijin Qin

Yunlong Cai

Guanding Yu

...

2024/2/9

Environment Reconstruction based on Multi-User Selection and Multi-Modal Fusion in ISAC

arXiv preprint arXiv:2403.17810

Bo Lin

Chuanbin Zhao

Feifei Gao

Geoffrey Ye Li

2024/3/26

Deep learning for joint channel estimation and feedback in massive MIMO systems

Digital Communications and Networks

Jiajia Guo

Tong Chen

Shi Jin

Geoffrey Ye Li

Xin Wang

...

2024/2/1

Energy-Efficient Distributed Spiking Neural Network for Wireless Edge Intelligence

IEEE Transactions on Wireless Communications

Yanzhen Liu

Zhijin Qin

Geoffrey Ye Li

2024/3/14

Semantic Satellite Communications Based on Generative Foundation Model

arXiv preprint arXiv:2404.11941

Peiwen Jiang

Chao-Kai Wen

Xiao Li

Shi Jin

Geoffrey Ye Li

2024/4/18

Distributed Task-Oriented Communication Networks with Multimodal Semantic Relay and Edge Intelligence

IEEE Communications Magazine

Jie Guo

Hao Chen

Bin Song

Yuhao Chi

Chau Yuen

...

2024/1/22

Noncoherent Orthogonal Time Frequency Space Modulation

IEEE Transactions on Wireless Communications

Chao Xu

Luping Xiang

Shinya Sugiura

Robert G Maunder

Lie-Liang Yang

...

2024/2/28

QoE-based semantic-aware resource allocation for multi-task networks

IEEE Transactions on Wireless Communications

Lei Yan

Zhijin Qin

Chunfeng Li

Rui Zhang

Yongzhao Li

...

2024/4/16

Distributionally Robust Beamforming and Estimation of Wireless Signals

arXiv preprint arXiv:2401.12345

Shixiong Wang

Wei Dai

Geoffrey Ye Li

2024/1/22

Deep Plug-and-Play Prior for Multitask Channel Reconstruction in Massive MIMO Systems

IEEE Transactions on Communications

Weixiao Wan

Wei Chen

Shiyue Wang

Geoffrey Ye Li

Bo Ai

2024/2/26

A Universal Deep Neural Network for Signal Detection in Wireless Communication Systems

arXiv preprint arXiv:2404.02648

Khalid Albagami

Nguyen Van Huynh

Geoffrey Ye Li

2024/4/3

Triple-Refined Hybrid-Field Beam Training for mmWave Extremely Large-Scale MIMO

IEEE Transactions on Wireless Communications

Kangjian Chen

Chenhao Qi

Octavia A Dobre

Geoffrey Ye Li

2024/1/17

RIS-Enhanced Semantic Communications Adaptive to User Requirements

IEEE Transactions on Communications

Peiwen Jiang

Chao-Kai Wen

Shi Jin

Geoffrey Ye Li

2024/2/26

Semantic communication for cooperative perception based on importance map

Journal of the Franklin Institute

Yucheng Sheng

Hao Ye

Le Liang

Shi Jin

Geoffrey Ye Li

2024/4/1

RIS-Enhanced Semantic Image Transmission Based on Reinforcement Learning

Peiwen Jiang

ChaoKai Wen

Shi Jin

Xiao Li

Geoffrey Ye Li

2023/12/4

Reinforcement learning based power control for reliable mission-critical wireless transmission

IEEE Internet of Things Journal

Chongtao Guo

Zhengchao Li

Le Liang

Geoffrey Ye Li

2023/6/12

Deep Plug-and-Play Prior for Massive MIMO Systems

arXiv preprint arXiv:2308.04728

Weixiao Wan

Wei Chen

Shiyue Wang

Geoffrey Ye Li

Bo Ai

2023/8/9

Effective adaptation into new environment with few shots: Applications to ofdm receiver design

Ouya Wang

Shenglong Zhou

Geoffrey Ye Li

2023/9/17

Federated Reinforcement Learning for Resource Allocation in V2X Networks

arXiv preprint arXiv:2310.09858

Kaidi Xu

Shenglong Zhou

Geoffrey Ye Li

2023/10/15

See List of Professors in Geoffrey Ye Li (李烨) University(Imperial College London)

Co-Authors

H-index: 132
Zhu Han

Zhu Han

University of Houston

H-index: 104
K. J. Ray Liu

K. J. Ray Liu

University of Maryland

H-index: 83
Shi Jin

Shi Jin

Southeast University

H-index: 64
Zhi Ding

Zhi Ding

University of California, Davis

H-index: 55
Leonard Cimini

Leonard Cimini

University of Delaware

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