Xiaojun Chang

Prior to joining MBZUAI, Professor Chang was appointed a tenured professor Faculty of Engineering and Information Technology and Director of the Recognition, LEarning, and Reasoning Lab (ReLER) at the Australian Artificial Intelligence Institute, University of Technology Sydney, Australia. A recipient of a Discovery Early Career Researcher Award (DECRA) from the Australian Research Council, Chang has led 11 national-level projects.

• Postdoc in artificial intelligence from Carnegie Mellon University, USA
• Ph.D. in computer science from the University of Technology Sydney, Australia
• Master’s in computer science from Northwest University, China
• Bachelor’s in physics from Northwest University, China

• Honorary Professor at the School of Computing Technologies, RMIT University, Australia 2022-2025
• Recognized as a Clarivate Highly Cited Researcher (HiCi) in Cross-field for consecutive years, 2019, 2020 and 2021
• Australian Research Council, Discovery Early Career Researcher Award (DECRA) 2018

Chairing/executive positions:

• Associate Editor, IEEE Transactions on Circuits and Systems for Video Technology 2022–2023
• Area Chair, ACM International Conference on Multimedia 2018–2021
• Area Chair, International Conference on Pattern Recognition 2018–2020
• Senior Program Committee, International Joint Conference on Artificial Intelligence 2019–2021
• Senior Program Committee, Thirty-first Conference on Artificial Intelligence 2019–2021

 

Published in more than 150 international peer-reviewed journals, Chang’s papers have garnered more than 12,000 citations on Google Scholar and 16 have been recognized as ESI Hot and Highly Cited Papers. He serves as Associate Editor for several international journals including IEEE Transactions on Circuits and Systems for Video Technology and ACM Transactions on Multimedia Computing, Communications, and Applications.

• Mingjie Li, Poyao Huang, Xiaojun Chang*, Junjie Hu, Yi Yang and Alex Hauptmann. Video Pivoting Unsupervised Multi-modal Machine Translation. IEEE Trans. Pattern Anal. Mach. Intell. 45(3):3918-3932 (2023).
• Lingling Zhang, Xiaojun Chang*, Jun Liu, Minnan Luo, Zhihui Li, Lina Yao, and Alex Hauptmann. TN-ZSTAD:Transferable Network for Zero-Shot Temporal Activity Detection. IEEE Trans. Pattern Anal. Mach. Intell. 45(3):3848-3861 (2023).
• Xiaojun Chang, Pengzhen Ren, Pengfei Xu, Zhihui Li, Xiaojiang Chen and Alex Hauptmann. A Comprehensive Survey of Scene Graphs:Generation and Application. IEEE Trans. Pattern Anal. Mach. Intell. 45(1):1-26 (2023).
• Caixia Yan, Xiaojun Chang*, Zhihui Li, Weili Guan, Zongyuan Ge, Lei Zhu and Qinghua Zheng. ZeroNAS: Differentiable Generative Adversarial Networks Search for Zero-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(12):9733-9740 (2022).
• Changlin Li, Guangrun Wang, Xiaodan Liang, Zhihui Li, and Xiaojun Chang*. DS-Net++:Dynamic Weight Slicing for Efficient Inference in CNNs and Vision Transformers. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4430-4446 (2023).
• Mingjie Li, Wenjia Cai, Karin Verspoor, Shirui Pan, Xiaodan Liang, Xiaojun Chang: Cross-modal Clinical Graph Transformer for Ophthalmic Report Generation. CVPR 2022: 20624-20633.