Peter Y K Cheung

Peter Y K Cheung

Imperial College London

H-index: 51

Europe-United Kingdom

About Peter Y K Cheung

Peter Y K Cheung, With an exceptional h-index of 51 and a recent h-index of 20 (since 2020), a distinguished researcher at Imperial College London, specializes in the field of Reconfigurable circuits & systems, FPGAs, VLSI architecture, process variations, reliability.

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

Verification and Fault Injection Platform Based on MTB Stimulus Generation Method for L2 Deep Market Quote Decoder

Enabling Binary Neural Network Training on the Edge

Logic Shrinkage: Learned Connectivity Sparsification for LUT-Based Neural Networks

Two Party Fair Exchange

A Novel Preprocessing-Free Proofless Verifiable Computation Scheme from Integer Factoring

Logic shrinkage: Learned FPGA netlist sparsity for efficient neural network inference

Accelerating recurrent neural networks for gravitational wave experiments

IEEE: Accelerating Recurrent Neural Networks for Gravitational Wave Experiments

Peter Y K Cheung Information

University

Position

Professor of Digital Systems

Citations(all)

9288

Citations(since 2020)

1603

Cited By

8299

hIndex(all)

51

hIndex(since 2020)

20

i10Index(all)

182

i10Index(since 2020)

40

Email

University Profile Page

Imperial College London

Google Scholar

View Google Scholar Profile

Peter Y K Cheung Skills & Research Interests

Reconfigurable circuits & systems

FPGAs

VLSI architecture

process variations

reliability

Top articles of Peter Y K Cheung

Title

Journal

Author(s)

Publication Date

Verification and Fault Injection Platform Based on MTB Stimulus Generation Method for L2 Deep Market Quote Decoder

IEEE Access

Le Yu

Zhiheng Liang

Yaqi Li

Shiwei Zhang

Yiren Zhao

...

2024/2/13

Enabling Binary Neural Network Training on the Edge

ACM Transactions on Embedded Computing Systems

Erwei Wang

James J Davis

Daniele Moro

Piotr Zielinski

Jia Jie Lim

...

2023/11/9

Logic Shrinkage: Learned Connectivity Sparsification for LUT-Based Neural Networks

ACM Transactions on Reconfigurable Technology and Systems

Erwei Wang

Marie Auffret

Georgios-Ilias Stavrou

Peter YK Cheung

George A Constantinides

...

2023/9/1

Two Party Fair Exchange

Cryptology ePrint Archive

Alex Dalton

David Thomas

Peter Cheung

2023

A Novel Preprocessing-Free Proofless Verifiable Computation Scheme from Integer Factoring

Cryptology ePrint Archive

Alex Dalton

David Thomas

Peter Cheung

2023

Logic shrinkage: Learned FPGA netlist sparsity for efficient neural network inference

Erwei Wang

James J Davis

Georgios-Ilias Stavrou

Peter YK Cheung

George A Constantinides

...

2022/2/13

Accelerating recurrent neural networks for gravitational wave experiments

Zhiqiang Que

Erwei Wang

Umar Marikar

Eric Moreno

Jennifer Ngadiuba

...

2021/7/7

IEEE: Accelerating Recurrent Neural Networks for Gravitational Wave Experiments

Zhiqiang Que

Vladimir Loncar

Hamza Javed

Erwei Wang

Umar Marikar

...

2021/6/26

Post-lockdown abatement of COVID-19 by fast periodic switching

PLoS computational biology

Michelangelo Bin

Peter YK Cheung

Emanuele Crisostomi

Pietro Ferraro

Hugo Lhachemi

...

2021/1/21

LUTNet: Learning FPGA configurations for highly efficient neural network inference

IEEE Transactions on Computers

Erwei Wang

James J Davis

Peter YK Cheung

George A Constantinides

2020/3/6

See List of Professors in Peter Y K Cheung University(Imperial College London)

Co-Authors

H-index: 77
Tim C Green

Tim C Green

Imperial College London

H-index: 72
Wayne Luk

Wayne Luk

Imperial College London

H-index: 44
a yakovlev

a yakovlev

Newcastle University

H-index: 44
George Constantinides

George Constantinides

Imperial College London

H-index: 33
Suhaib Fahmy

Suhaib Fahmy

King Abdullah University of Science and Technology

H-index: 31
Ray C.C. Cheung

Ray C.C. Cheung

City University of Hong Kong

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