Xiaochen Yuan

Xiaochen Yuan

Associate Professor

Faculty of Applied Sciences

Macao Polytechnic University

Biography

She is currently an Associate Professor with the Faculty of Applied Sciences of the Macao Polytechnic University. Her research interests include Digital Multimedia Processing, Digital Watermarking, Multimedia Forensics, Tampering Detection and Self-Recovery, Remote Image Processing, and Deep Learning Techniques and Applications.

Education

  • PhD in Software Engineering, 2013

    University of Macau

  • MSc in E-Commerce Technology, 2010

    University of Macau

  • BSc in Electronic Information Technology, 2008

    Macau University of Science and Technology

Working Experience

 
 
 
 
 
Macao Polytechnic University
Associate Professor
Macao Polytechnic University
August 2021 – Present Macau
 
 
 
 
 
Macau University of Science and Technology
Assistant Professor & Associate Professor
Macau University of Science and Technology
January 2016 – July 2021 Macau
 
 
 
 
 
University of Macau
Postdoctoral Fellowship
University of Macau
February 2014 – October 2015 Macau
 
 
 
 
 
University of Macau
Research Assistant
University of Macau
November 2013 – January 2014 Macau

Latest News

C3MW is published in Journal of King Saud University Computer and Information Sciences [JCR Q1]
Last updated on Oct 18, 2023 0 min read
C3MW is published in Journal of King Saud University Computer and Information Sciences [JCR Q1]
CAMU is published in Expert Systems with Applications [JCR Q1]
Last updated on Oct 18, 2023 0 min read
CAMU is published in Expert Systems with Applications [JCR Q1]
FRRW is published in Journal of King Saud University Computer and Information Sciences [JCR Q1]
Last updated on Sep 4, 2023 0 min read
FRRW is published in Journal of King Saud University Computer and Information Sciences [JCR Q1]
One paper is accepted in ICANN 2023

A Noise Convolution Network for Tampering Detection is accepted in 32nd International Conference on Artificial Neural Networks (ICANN 2023) [CCF C]

Last updated on Sep 4, 2023 1 min read
One paper is accepted in ICANN 2023
RA-Net is accepted in ICANN 2023

RA-Net: A Deep Learning Approach based on Residual Structure and Attention Mechanism for Image Copy-move Forgery Detection is accepted in 32nd International Conference on Artificial Neural Networks (ICANN 2023) [CCF C]

Last updated on Sep 4, 2023 1 min read
RA-Net is accepted in ICANN 2023
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Vacanct positions

We are recruiting the self-motivated Ph.D. and master students. If your are interested in our work, please send an email to us.

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