World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
51
Citations
9748
World Ranking
5373
National Ranking
2460

Research.com Recognitions

  • 2019 - IEEE Fellow For contributions to multimedia big data analytics and management
  • 2017 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2012 - ACM Distinguished Member
  • 2010 - ACM Senior Member

Overview

Mei-Ling Shyu is affiliated with the University of Miami in the United States. Their research spans multiple domains within computer science and related interdisciplinary fields, focusing prominently on image processing, machine learning, and data analytics.

Their recent published works include:

  • Evolutionary Programming Based Deep Learning Feature Selection and Network Construction for Visual Data Classification, 2020, Information Systems Frontiers
  • Data Analytics for Air Travel Data: A Survey and New Perspectives, 2021, ACM Computing Surveys
  • A Survey on Data-driven COVID-19 and Future Pandemic Management, 2022, ACM Computing Surveys
  • Deep Learning With Weak Supervision for Disaster Scene Description in Low-Altitude Imagery, 2021, IEEE Transactions on Geoscience and Remote Sensing
  • Objective Measurement of Social Gaze and Smile Behaviors in Children with Suspected Autism Spectrum Disorder During Administration of the Autism Diagnostic Observation Schedule, 2nd Edition, 2023, Journal of Autism and Developmental Disorders

The scientist has frequently collaborated with the following co-authors:

  • Matthew L. Bolton
  • Ricardo Chavarriaga
  • Luke
  • Michael C. Dorneich
  • Giancarlo Fortino

Mei-Ling Shyu's work has been published often in the following venues:

  • IEEE Transactions on Human-Machine Systems
  • ACM Computing Surveys
  • Translational Vision Science & Technology
  • Scientific Reports
  • Companion Publication of the 2020 International Conference on Multimodal Interaction

Their main subfields of study include:

  • Computer Vision and Pattern Recognition
  • Radiology, Nuclear Medicine and Imaging
  • Artificial Intelligence
  • Modeling and Simulation
  • Cognitive Neuroscience

The primary research topics covered by their publications involve:

  • Advanced Image and Video Retrieval Techniques
  • COVID-19 epidemiological studies
  • Autism Spectrum Disorder Research
  • Retinal Imaging and Analysis
  • Anomaly Detection Techniques and Applications
  • Assistive Technology in Communication and Mobility
  • Glaucoma and retinal disorders

Throughout their career, Mei-Ling Shyu has been recognized with several awards and distinctions:

  • IEEE Fellow, 2019, for contributions to multimedia big data analytics and management
  • Fellow of the American Association for the Advancement of Science (AAAS), 2017
  • ACM Distinguished Member, 2012
  • ACM Senior Member, 2010

Best Publications

  • A Survey on Deep Learning: Algorithms, Techniques, and Applications

    Samira Pouyanfar;Saad Sadiq;Yilin Yan;Haiman Tian

  • A progressive morphological filter for removing nonground measurements from airborne LIDAR data

    Keqi Zhang;Shu-Ching Chen;D. Whitman;Mei-Ling Shyu

  • A Novel Anomaly Detection Scheme Based on Principal Component Classifier

    Mei-Ling Shyu;Shu-Ching Chen;Kanoksri Sarinnapakorn;LiWu Chang

  • Multimedia Big Data Analytics: A Survey

    Samira Pouyanfar;Yimin Yang;Shu-Ching Chen;Mei-Ling Shyu

  • Deep Learning for Imbalanced Multimedia Data Classification

    Yilin Yan;Min Chen;Mei-Ling Shyu;Shu-Ching Chen

  • Dynamic Sampling in Convolutional Neural Networks for Imbalanced Data Classification

    Samira Pouyanfar;Yudong Tao;Anup Mohan;Haiman Tian

  • Video Semantic Event/Concept Detection Using a Subspace-Based Multimedia Data Mining Framework

    Mei-Ling Shyu;Zongxing Xie;Min Chen;Shu-Ching Chen

  • Quality of service provision in mobile multimedia - a survey

    Hongli Luo;Mei Ling Shyu

  • A decision tree-based multimodal data mining framework for soccer goal detection

    Shu-Ching Chen;Mei-Ling Shyu;Min Chen;Chengcui Zhang

  • Learning-based spatio-temporal vehicle tracking and indexing for transportation multimedia database systems

    Shu-Ching Chen;Mei-Ling Shyu;S. Peeta;Chengcui Zhang

  • Conditioning and updating evidence

    E. C. Kulasekere;Kamal Premaratne;Duminda A. Dewasurendra;Mei-Ling Shyu

  • Video scene change detection method using unsupervised segmentation and object tracking

    Shu-Ching Chen;Mei-Ling Shyu;Cheng-Cui Zhang;R.L. Kashyap

  • Handling nominal features in anomaly intrusion detection problems

    Mei-Ling Shyu;K. Sarinnapakorn;I. Kuruppu-Appuhamilage;Shu-Ching Chen

  • Semantic event detection via multimodal data mining

    Min Chen;Shu-Ching Chen;Mei-Ling Shyu;K. Wickramaratna

  • Rule Mining and Classification in a Situation Assessment Application: A Belief-Theoretic Approach for Handling Data Imperfections

    K.K.R. Hewawasam;K. Premaratne;Mei-Ling Shyu

  • Adaptive background learning for vehicle detection and spatio-temporal tracking

    C. Zhang;S.-C. Chen;M.-L. Shyu;S. Peeta

  • An intelligent framework for spatio-temporal vehicle tracking

    Shu-Ching Chen;Mei-Ling Shyu;Chengcui Zhang

  • DETECTION OF SOCCER GOAL SHOTS USING JOINT MULTIMEDIA FEATURES AND CLASSIFICATION RULES

    Shu-Ching Chen;Mei-Ling Shyu;Chengcui Zhang;Lin Luo

  • Histology Image Classification Using Supervised Classification and Multimodal Fusion

    Tao Meng;Lin Lin;Mei-Ling Shyu;Shu-Ching Chen

  • Weighted Subspace Filtering and Ranking Algorithms for Video Concept Retrieval

    Lin Lin;Chao Chen;Mei-Ling Shyu;Shu-Ching Chen

  • Multimodal deep representation learning for video classification

    Haiman Tian;Yudong Tao;Samira Pouyanfar;Shu Ching Chen

  • SP-ASDNet: CNN-LSTM Based ASD Classification Model using Observer ScanPaths

    Yudong Tao;Mei-Ling Shyu

Frequent Co-Authors

Shu-Ching Chen
Shu-Ching Chen Florida International University
Rangasami L. Kashyap
Rangasami L. Kashyap Purdue University West Lafayette
James Joshi
James Joshi University of Pittsburgh
Srinivas Peeta
Srinivas Peeta Georgia Institute of Technology
Chi-Min Shu
Chi-Min Shu National Yunlin University of Science and Technology
S. Sitharama Iyengar
S. Sitharama Iyengar Florida International University
Borko Furht
Borko Furht Florida Atlantic University
Daniel J. Feaster
Daniel J. Feaster University of Miami
Stephen J. H. Yang
Stephen J. H. Yang National Central University
Daniel S. Messinger
Daniel S. Messinger University of Miami

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