Dr. Junjie Zhang is currently an Associate Professor at the Department of Intelligent Science, School of Advanced Technology, Xi’an Jiaotong-Liverpool University (XJTLU), and he has been awarded the talent honor of 江苏高校“青蓝工程”优秀青年骨干教师. He earned his Ph.D. in Information Technology from the University of Technology Sydney and completed his Bachelor's degree in Computer Science and Technology at Nanjing University of Science and Technology. Before joining XJTLU, he held a postdoctoral position at the Australian Institute for Machine Learning, The University of Adelaide, and served as a Lecturer at the School of Communication and Information Engineering, Shanghai University.

His research interests include computer vision, machine learning, and embodied AI, with a focus on multi-modal learning, remote sensing interpretation, and 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, Jiangsu Science and Technology Fundamental Research Plan, and State Grid etc.

Computer Vision, Multi-Modal Learning, Embodied AI

With a special focus on UAV (Aerial) Preception, Remote Sensing Interpretation, Underwater Perception, AI for Sports & Education.

【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】课题组招收有自我驱动力，对相关研究方向感兴趣的本科生(UG)/意向读博学生(Potential 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 and group project. Relevant topics prefer entry-leve knowledge in Python programming and machine learning. If you're interested in exploring these research direction but still need to enhance your abilities, please conduct self-learning on relevant backgrounds first.

Avaliable group projects:

1) AI4Education: Large Language Model (LLM) Tuning & AI Agent Deployment for Customized Programming Learning;

2) UAV Vision-Language Navigation & Action.

【PhD】For potential PhD candidates (both XJTLUers & off-campus), 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 etc.) and English proficiency requirements, in compliance with the University's admission policy. Ensure that these requirements are met before sending your resume. Our team will carefully review every application to assess alignment with the role’s requirements. If your background and experience match the position well, we will proactively reach out to you within two weeks to extend an interview invitation.

Current avaliable PhD scholarships: Fees-Only PhD scholarships, with a research focus on UAV Perception & VLN-VLA.

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

INT101 Python for AI

INT303 (25-26 S1) Big Data Analytics

INT402 (24-25 S1) Data Mining and Big Data Analytics