World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
58
Citations
15106
World Ranking
3597
National Ranking
477

Research.com Recognitions

  • 2018 - Fellow of the Royal Academy of Engineering (UK)
  • 2018 - Member of Academia Europaea

Overview

Yike Guo is affiliated with Hong Kong Baptist University in China and has contributed extensively to the fields of computer science and medicine. Their research spans several prominent subfields, including artificial intelligence, computer vision and pattern recognition, signal processing, molecular biology, and atmospheric science.

Their main research topics cover diverse areas such as topic modeling, meteorological phenomena and simulations, music and audio processing, natural language processing techniques, speech recognition and synthesis, asthma and respiratory diseases, and COVID-19 epidemiological studies.

Yike Guo has published numerous papers in a wide range of venues. Some of the frequent publication venues include:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Applied Intelligence
  • Knowledge-Based Systems
  • Allergy

Among the recent published papers are:

  • Privacy preservation in federated learning: An insightful survey from the GDPR perspective, 2021, Computers & Security
  • A Metabolite Array Technology for Precision Medicine, 2021, Analytical Chemistry
  • A population-based phenome-wide association study of cardiac and aortic structure and function, 2020, Nature Medicine
  • Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review, 2023, IEEE/CAA Journal of Automatica Sinica
  • Deep Data Assimilation: Integrating Deep Learning with Data Assimilation, 2021, Applied Sciences

Collaborations feature prominently in their work, with frequent co-authors including Rossella Arcucci, Ian M. Adcock, Sibo Cheng, Xing Wu, and Nazanin Zounemat Kermani.

Yike Guo has received recognition for their contributions, including:

  • Member of Academia Europaea, 2018
  • Fellow of the Royal Academy of Engineering (UK), 2018

Best Publications

  • DeepSleepNet: A Model for Automatic Sleep Stage Scoring Based on Raw Single-Channel EEG

    Akara Supratak;Hao Dong;Chao Wu;Yike Guo

  • DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction

    Guang Yang;Simiao Yu;Hao Dong;Greg Slabaugh

  • Automatic Brain Tumor Detection and Segmentation Using U-Net Based Fully Convolutional Networks

    Hao Dong;Guang Yang;Fangde Liu;Yuanhan Mo

  • Automatic Sleep Stage Scoring Using Time-Frequency Analysis and Stacked Sparse Autoencoders

    Orestis Tsinalis;Paul M. Matthews;Yike Guo

  • Privacy preservation in federated learning: An insightful survey from the GDPR perspective

    Nguyen Truong;Kai Sun;Siyao Wang;Florian Guitton

  • U-BIOPRED clinical adult asthma clusters linked to a subset of sputum omics

    Diane Lefaudeux;Bertrand De Meulder;Matthew J. Loza;Nancy Peffer

  • Lightweight Resource Scaling for Cloud Applications

    Rui Han;Li Guo;Moustafa M. Ghanem;Yike Guo

  • Making sense of big data in health research: Towards an EU action plan

    Charles Auffray;Charles Auffray;Rudi Balling;Inês Barroso;László Bencze

  • Automatic Sleep Stage Scoring with Single-Channel EEG Using Convolutional Neural Networks.

    Orestis Tsinalis;Paul M. Matthews;Yike Guo;Stefanos Zafeiriou

  • Mixed Neural Network Approach for Temporal Sleep Stage Classification

    Hao Dong;Akara Supratak;Wei Pan;Chao Wu

  • Semantic Image Synthesis via Adversarial Learning

    Hao Dong;Simiao Yu;Chao Wu;Yike Guo

  • Air Pollution Monitoring and Mining Based on Sensor Grid in London

    Yajie Ma;Mark Richards;Moustafa Ghanem;Yike Guo

  • Model identification of reduced order fluid dynamics systems using deep learning

    Z. Wang;Dunhui Xiao;F. Fang;R. Govindan

  • Biocloud: Cloud Computing for Biological, Genomics, and Drug Design

    Ching-Hsien Hsu;Chun-Yuan Lin;Ming Ouyang;Yi Ke Guo

  • A population-based phenome-wide association study of cardiac and aortic structure and function

    Wenjia Bai;Hideaki Suzuki;Hideaki Suzuki;Jian Huang;Catherine Francis

  • Principles of Elastic Processes

    Schahram Dustdar;Y. Guo;B. Satzger;Hong-Linh Truong

  • Deep Sequence Learning with Auxiliary Information for Traffic Prediction

    Binbing Liao;Jingqing Zhang;Chao Wu;Douglas McIlwraith

  • Fast density clustering strategies based on the k-means algorithm

    Liang Bai;Liang Bai;Liang Bai;Xueqi Cheng;Jiye Liang;Huawei Shen

  • TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG

    Akara Supratak;Yike Guo

  • Enabling cost-aware and adaptive elasticity of multi-tier cloud applications

    Rui Han;Moustafa M. Ghanem;Li Guo;Yike Guo

  • Self-supervised learning for cardiac MR image segmentation by anatomical position prediction

    Wenjia Bai;Chen Chen;Giacomo Tarroni;Jinming Duan

  • Distributed Clustering-Based Aggregation Algorithm for Spatial Correlated Sensor Networks

    Yajie Ma;Yike Guo;Xiangchuan Tian;Moustafa Ghanem

Frequent Co-Authors

Ian M. Adcock
Ian M. Adcock Imperial College London
Ratko Djukanovic
Ratko Djukanovic University of Southampton
Kian Fan Chung
Kian Fan Chung Imperial College London
Anthony Rowe
Anthony Rowe Carnegie Mellon University
Peter H. Howarth
Peter H. Howarth University of Southampton
Charles Auffray
Charles Auffray Centre national de la recherche scientifique, CNRS
John Darlington
John Darlington Imperial College London
Paul M. Matthews
Paul M. Matthews Imperial College London
Norbert Krug
Norbert Krug Fraunhofer Society
Sven-Erik Dahlén
Sven-Erik Dahlén Karolinska Institute

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