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20082025

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Personal profile

Personal profile

Jimin XIAO is a professor in the department of intelligent science. He received the B.S and M.E degrees in Telecommunication Engineering from Nanjing University of Posts and Telecommunications, Nanjing, China, in 2004, 2007, respectively. He received PhD degree in Electrical Engineering and Electronics from University of Liverpool, UK, in 2013. From Nov. 2013- Nov.2014, he was a senior researcher in the Department of Signal Processing, Tampere University of Technology, Finland, and an external researcher in Nokia Research Center, Tampere, Finland. In Dec.2014, he joined Xian Jiaotong-Liverpool University as a faculty member. His research interests are in the areas of image/video processing, computer vision, deep learning. He has published 100+ papers in prestigious venues, such as TPAMI, IJCV, TIP, TMM, TCSVT, CVPR, ICCV, ECCV, AAAI, IJCAI. In the past years, he has successfully attracted over 7 million research funds from both academia and industry, including NSFC general programme, NSFC key programme and National Key RD program of China. He was awarded “Highly-Demanded Talent of Universities and Institutions in Suzhou” in 2016, Jiangsu 333 Talent in 2022. He is looking for self-motivated PhD student. Feel free to contact him if youd like to do a PhD in computer vision, deep learning and image processing.

Home page:  http://jiminxiao.github.io

Experience

Professor, Xian Jiaotong-Liverpool University - 2024 to now

Senior Associate Professor, Xian Jiaotong-Liverpool University - 2021 to 2023

Associate Professor, Xian Jiaotong-Liverpool University - 2018 to 2021

Lecturer, Xian Jiaotong-Liverpool University - 2014 to 2018

Senior Researcher, Tampere University of Technology - 2013 to 2014

Awards and honours

Jiangsu 333 Talent, 2022

Highly-Demanded Talent of Universities and Institutions in Suzhou, 2016

Education/Academic qualification

Ph.D. , University of Liverpool, 2013

M.E, Nanjing University of Posts and Telecommunications, 2007

B.S., Nanjing University of Posts and Telecommunications, 2004

Person Types

  • Staff

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