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Li Zhang
PeerJ Editor
935 Points

Contributions by role

Editor 935

Contributions by subject area

Bioinformatics
Artificial Intelligence
Data Mining and Machine Learning
Data Science
Computer Aided Design
Computer Vision
Autonomous Systems
Computational Biology
Human-Computer Interaction
Algorithms and Analysis of Algorithms
Graphics
Spatial and Geographic Information Systems
Visual Analytics
Natural Language and Speech
Multimedia
Scientific Computing and Simulation
Network Science and Online Social Networks
Social Computing

Li Zhang

PeerJ Editor

Summary

Li Zhang received her Ph.D. degree from the University of Birmingham. She is currently a Reader in Royal Holloway, University of London. She has expertise in machine learning, deep learning, computer vision and evolutionary computation. She is a Senior Member of IEEE.

Artificial Intelligence Bioinformatics Computer Vision Data Mining & Machine Learning Robotics

Past or current institution affiliations

Royal Holloway and Bedford New College

Work details

Reader

Royal Holloway and Bedford New College
Department of Computer Science
Dr Li Zhang is a Reader in Computer Science in Royal Holloway, University of London. She received a Ph.D. degree from the University of Birmingham. Currently, she works in the Intelligent Systems Research group which focuses on a wide range of machine learning, computer vision, medical imaging and data mining challenges and problems. She is also an Honorary Research Fellow in the School of Computer Science, University of Birmingham.

PeerJ Contributions

  • Edited 7

Academic Editor on

March 17, 2022
ACR-SA: attention-based deep model through two-channel CNN and Bi-RNN for sentiment analysis
Marjan Kamyab, Guohua Liu, Abdur Rasool, Michael Adjeisah
https://doi.org/10.7717/peerj-cs.877
August 26, 2021
Solving musculoskeletal biomechanics with machine learning
Yaroslav Smirnov, Denys Smirnov, Anton Popov, Sergiy Yakovenko
https://doi.org/10.7717/peerj-cs.663
August 5, 2021
Video captioning with stacked attention and semantic hard pull
Md. Mushfiqur Rahman, Thasin Abedin, Khondokar S.S. Prottoy, Ayana Moshruba, Fazlul Hasan Siddiqui
https://doi.org/10.7717/peerj-cs.664
July 12, 2021
Machine learning analysis of TCGA cancer data
Jose Liñares-Blanco, Alejandro Pazos, Carlos Fernandez-Lozano
https://doi.org/10.7717/peerj-cs.584
June 18, 2021
An amalgamation of YOLOv4 and XGBoost for next-gen smart traffic management system
Pritul Dave, Arjun Chandarana, Parth Goel, Amit Ganatra
https://doi.org/10.7717/peerj-cs.586
June 9, 2021
Contrast optimization of mass spectrometry imaging (MSI) data visualization by threshold intensity quantization (TrIQ)
Ignacio Rosas-Román, Robert Winkler
https://doi.org/10.7717/peerj-cs.585
May 18, 2021
Landmark-free, parametric hypothesis tests regarding two-dimensional contour shapes using coherent point drift registration and statistical parametric mapping
Todd C. Pataky, Masahide Yagi, Noriaki Ichihashi, Philip G. Cox
https://doi.org/10.7717/peerj-cs.542