Dr. Junjie Zhang is currently an Associate Professor at the Department of Intelligent Science, School of Advanced Technology, Xi’an Jiaotong-Liverpool University (XJTLU). He earned his Ph.D. in Information Technology from the University of Technology Sydney in 2019 and completed his Bachelor's degree in Computer Science and Technology at Nanjing University of Science and Technology in 2014. Before joining XJTLU, he held a postdoctoral position at the Australian Institute for Machine Learning, The University of Adelaide, from December 2018 to November 2020. He also served as a Lecturer at the School of Communication and Information Engineering, Shanghai University, from 2021 to 2024.

His research interests include computer vision, machine learning, and multimedia data analysis, with a focus on multi-modal learning, remote sensing interpretation, and intelligent object perception. Dr. Zhang has published high-quality papers, including top-tier journals and conferences IEEE Trans, CVPR, ICCV, ECCV, AAAI, IJCAI etc. His research has been supported by both government and industry, including the NSFC and State Grid etc.

Computer Vision, Multi-Modal Learning, Multimedia Data Analysis

With a special focus on Aerial Object Perception, Remote Sensing Interpretation, and related topics.

【Supervision】We are looking for self-motivated students (UG/PG/PhD) to join our research team. Please contact me via email for details. Some takeways are as follows.【科研指导】课题组长期招收有自我驱动力，对相关研究方向感兴趣的本科生（UG）/硕士生（PG）/博士生（PhD）加入，欢迎通过电子邮件联系以了解详细信息，部分信息如下：

【UG】For UG students at XJTLU, you are welcome to join through SURF, FYP projects, and competitions. Relevant topics prefer entry-leve knowledge in Python programming and machine learning. If you're interested in exploring this research direction but still need to enhance your abilities, feel free to contact us for a learning roadmap first.

SURF topic for the current academic year: Adaptive Computer Vision Techniques for Infrared-Based Drone Perception in Dynamic Scenes

【PG】For PG students at XJTLU, you are welcome to participate through MRes and MSc projects. A relevant background with fundamentals in Python and machine learning (preferably in computer vision) is required. Topics for the current academic year: To be updated.

【PhD】For potential PhD candidates, it is necessary to first meet certain levels of related research outputs (e.g. publications in CV/ML/MM journals and conferences, awards in challenges/competitions, patents, etc.) and English proficiency requirements, in compliance with the University's admission policy. Ensure that these requirements are met before sending your resume. An interview invitation will be replied within 2 weeks if the application matches the position.

Current avaliable PhD scholarship: 1) Fees-Only PhD scholarship, with a research focus on Aerial Object Perception (FOSA2412009_Junjie_Zhang_SAT.pdf). A short research proposal (within 4 pages) from one of the following topics should be provided along with the resume: aerial object detection/tracking, anti-UAV detection/tracking. The proposal should cover the topic background, research issues, related works, your motivation, and study plan.

Associate Professor, Department of Intelligent Science, SAT, XJTLU, 2024- Now

Lecturer, School of Communication and Information Engineering, Shanghai University, 2021-2024

Postdoc, Australian Institute for Machine Learning, The University of Adelaide, 2018-2020

INT402 Data Mining and Big Data Analytics

INT101 Python for AI