Scholar
Xiaojun Chang
Google Scholar ID: 8suupocAAAAJ
Director of The ReLER Lab and Professor in Artificial Intelligence, University of Technology Sydney
Citations & Impact
Citations
21,216
H-index
68
i10-index
230
Publications
20
Co-authors
12
list available
Publications
Resume (English only)
Academic Achievements
- Named Clarivate Analytics Highly Cited Researcher in 2019, 2020, 2021, and 2023.
- Published multiple papers in top-tier journals such as IEEE TPAMI, including 'When Object Detection Meets Knowledge Distillation: A Survey', 'DS-Net++', and 'TN-ZSTAD'.
- Led teams to win multiple international grand challenges, including 1st place in the TrecVID 2019 ActEV challenge hosted by NIST, competing against teams from MIT, University of Maryland, FAIR, and Baidu VIS.
- Authored over 200 peer-reviewed publications; served as Area Chair for prestigious conferences including ACM Multimedia (2019–2022), IJCAI 2018, and ICPR 2018.
- Served as Associate Editor and Guest Editor for leading journals and reviewed ARC Discovery Grant applications.
- Secured over AUD 3 million in research funding; developed a deep learning-based automatic report generation system for critically ill COVID-19 patients, covered by media in Australia, the US, Europe, and China.
Research Experience
- Professor at the Australian Artificial Intelligence Institute (AAII), University of Technology Sydney (UTS), since 2022; Director of the Recognition, Learning and Reasoning Lab (ReLER).
- Visiting Professor in the Department of Computer Vision at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI).
- Associate Professor at RMIT University in 2021.
- Promoted to Senior Lecturer at Monash University in 2020; joined as Lecturer in 2018 after receiving an ARC DECRA fellowship.
- Postdoctoral Research Associate at Carnegie Mellon University, USA, from 2016 to 2018.
