World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
30
Citations
26886
World Ranking
13796
National Ranking
5472

Overview

Wenzhe Shi is a researcher affiliated with Twitter in the United States, with a primary focus on computer science and its various subfields. Their body of work spans 21 publications primarily within computer science, including significant contributions to computer vision and pattern recognition, information systems, computer networks and communications, as well as interdisciplinary areas such as surgery and immunology.

Their research topics include:

  • Recommender Systems and Techniques
  • Advanced Image Processing Techniques
  • Mobile Crowdsensing and Crowdsourcing
  • PAPR reduction in OFDM
  • Bioactive Compounds in Plants
  • Wireless Communication Networks Research
  • Drug Transport and Resistance Mechanisms

Wenzhe Shi has published papers in a variety of academic venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • Genes
  • IEEE Transactions on Broadcasting
  • Frontiers in Medicine
  • The Visual Computer

Some notable recent publications by Wenzhe Shi include:

  • "Lossy Image Compression with Compressive Autoencoders," 2020, Apollo (University of Cambridge)
  • "A Novel Conversion Vector-Based Low-Complexity SLM Scheme for PAPR Reduction in FBMC/OQAM Systems," 2020, IEEE Transactions on Broadcasting
  • "Privacy-Aware Recommender Systems Challenge on Twitter's Home Timeline," 2020, arXiv (Cornell University)
  • "Bile acids affect intestinal barrier function through FXR and TGR5," 2025, Frontiers in Medicine
  • "Deep Bayesian Bandits: Exploring in Online Personalized Recommendations," 2020, arXiv (Cornell University)

Throughout their career, Wenzhe Shi has collaborated frequently with several colleagues, including:

  • Jonathan J. Hunt
  • Guangyao Song
  • Yuxiao Xie
  • Lanlan Yi
  • Hao Jia

This collaboration network suggests an interdisciplinary approach bridging multiple domains within computer science and related fields.

Best Publications

  • Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

    Christian Ledig;Lucas Theis;Ferenc Huszar;Jose Caballero

  • Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network

    Wenzhe Shi;Jose Caballero;Ferenc Huszar;Johannes Totz

  • Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

    Christian Ledig;Lucas Theis;Ferenc Huszar;Jose Caballero

  • Real-Time Video Super-Resolution with Spatio-Temporal Networks and Motion Compensation

    Jose Caballero;Christian Ledig;Andrew Aitken;Alejandro Acosta

  • Lossy Image Compression with Compressive Autoencoders

    Lucas Theis;Wenzhe Shi;Andrew Cunningham;Ferenc Huszár

  • Fast Face-Swap Using Convolutional Neural Networks

    Iryna Korshunova;Wenzhe Shi;Joni Dambre;Lucas Theis

  • Amortised MAP Inference for Image Super-resolution

    Casper Kaae Sønderby;Jose Caballero;Lucas Theis;Wenzhe Shi

  • Lossy Image Compression with Compressive Autoencoders

    Lucas Theis;Wenzhe Shi;Andrew Cunningham;Ferenc Huszár

  • Cardiac image super-resolution with global correspondence using multi-atlas patchmatch.

    Wenzhe Shi;Jose Caballero;Christian Ledig;Xiahai Zhuang

  • Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network

    Wenzhe Shi;Jose Caballero;Ferenc Huszár;Johannes Totz

  • A Probabilistic Patch-Based Label Fusion Model for Multi-Atlas Segmentation With Registration Refinement: Application to Cardiac MR Images

    Wenjia Bai;Wenzhe Shi;D. P. O'Regan;Tong Tong

  • Right ventricle segmentation from cardiac MRI: a collation study.

    Caroline Petitjean;Maria A. Zuluaga;Wenjia Bai;Jean Nicolas Dacher

  • Machine Learning of Three-dimensional Right Ventricular Motion Enables Outcome Prediction in Pulmonary Hypertension: A Cardiac MR Imaging Study.

    Timothy J W Dawes;Antonio de Marvao;Wenzhe Shi;Tristan Fletcher

  • Evaluation of current algorithms for segmentation of scar tissue from late Gadolinium enhancement cardiovascular magnetic resonance of the left atrium: an open-access grand challenge

    Rashed Karim;R. James Housden;Mayuragoban Balasubramaniam;Zhong Chen

  • Benchmarking framework for myocardial tracking and deformation algorithms: an open access database.

    C. Tobon-Gomez;M. De Craene;M. De Craene;K. McLeod;L. Tautz

  • Checkerboard artifact free sub-pixel convolution: A note on sub-pixel convolution, resize convolution and convolution resize

    Andrew P. Aitken;Christian Ledig;Lucas Theis;Jose Caballero

  • A bi-ventricular cardiac atlas built from 1000+ high resolution MR images of healthy subjects and an analysis of shape and motion

    Wenjia Bai;Wenzhe Shi;Antonio M. Simoes Monteiro de Marvao;Timothy J. W. Dawes

  • Multi-atlas segmentation with augmented features for cardiac MR images

    Wenjia Bai;Wenzhe Shi;Christian Ledig;Daniel Rueckert

  • The estimation of patient-specific cardiac diastolic functions from clinical measurements

    Jiahe Xi;Jiahe Xi;Pablo Lamata;Pablo Lamata;Steven Niederer;Steven Niederer;Sander Land;Sander Land

  • ENHANCING VISUAL DATA USING UPDATED NEURAL NETWORKS

    Wang Zehan;Bishop Robert David;Shi Wenzhe;Caballero Jose

  • Is the deconvolution layer the same as a convolutional layer

    Wenzhe Shi;Jose Caballero;Lucas Theis;Ferenc Huszar

  • Super resolution using a generative adversarial network

    Wenzhe Shi;Christian Ledig;Zehan Wang;Lucas Theis

  • A Comprehensive Cardiac Motion Estimation Framework Using Both Untagged and 3-D Tagged MR Images Based on Nonrigid Registration

    Wenzhe Shi;Xiahai Zhuang;Haiyan Wang;S. Duckett

  • Multiatlas whole heart segmentation of CT data using conditional entropy for atlas ranking and selection.

    Xiahai Zhuang;Wenjia Bai;Jingjing Song;Songhua Zhan

Frequent Co-Authors

Daniel Rueckert
Daniel Rueckert Technical University of Munich
Xiahai Zhuang
Xiahai Zhuang Fudan University
Wenjia Bai
Wenjia Bai Imperial College London
Sebastien Ourselin
Sebastien Ourselin King's College London
Christian Ledig
Christian Ledig University of Bamberg
Michael M. Bronstein
Michael M. Bronstein University of Oxford
Kawal Rhode
Kawal Rhode King's College London
Nicolas P. Smith
Nicolas P. Smith University of Auckland
Alejandro F. Frangi
Alejandro F. Frangi University of Manchester
Ewan Birney
Ewan Birney European Molecular Biology Laboratory

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring a Computer Science education in the USA opens doors to a variety of online degrees and career-boosting options. For those seeking to fast-track their careers, certificate programs that pay well are popular. These programs often focus on specific tech skills and can be completed in just a few months, giving graduates an edge in job markets hungry for specialized expertise.

If you’re interested in pursuing graduate studies but want to minimize time away from work, consider enrolling in one of the shortest masters degree programs available online. Many institutions offer accelerated pathways that blend rigorous coursework with flexibility, allowing you to elevate your qualifications quickly.

To maximize your investment, it’s smart to look into which master's degree is most in demand in usa. Computer Science consistently ranks high, thanks to ongoing demand for data, AI, and cybersecurity professionals.

For those starting out, associates degrees online can provide foundational skills and a stepping stone to higher education or entry-level tech jobs. Whichever path you choose, online education offers flexibility and access to high-value careers in technology.

Best Scientists Citing Wenzhe Shi

Trending Scientists

Recently Published Articles