Projects per year
Personal profile
Personal profile
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 over 40 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 Young Program and State Grid.
Research interests
Computer vision, Machine learning, Multimedia Data Analysis
Multi-modal Learning, Remote Sensing Interpretation, Intelligent Object Perception
【Research】We are looking for self-motivated students (UG/PG/PhD) to join our research team, you are welcome to contact me via email regarding details.
【科研】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）/硕士生（PG）/博士生（PhD）加入我们的研究团队或开展合作，欢迎通过电子邮件联系以了解详细信息。
【PhD】Our research group currently has Fees-Only PhD scholarship available, with a research focus on Aerial Visual Perception. Candidates who meet the university's entrance requirements (academic qualifications and English proficiency) with relevant research background, are invited to submit their resumes to the specified email address.
【招生】课题组现有Fees-Only PhD奖学金名额，研究方向聚焦空天视觉感知，请符合学校入学条件（学历及英语要求）并具备相关研究基础的同学将简历投递至电子邮箱。
Experience
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
Teaching
INT402 Data Mining and Big Data Analytics
INT101 Python for AI
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Related documents
Education/Academic qualification
Bachelor, Nanjing University of Science and Technology
PhD, University of Technology Sydney
Person Types
- Staff
Fingerprint
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Hyperspectral Remote Sensing Image Classification Based on Progressive Self-Training and Multi-Modal Collaboration
1/01/25 → 31/12/27
Project: Internal Research Project
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Hyperspectral Remote Sensing Image Classification Based on Progressive Self-Training and Multi-Modal Collaboration
1/01/25 → 31/12/27
Project: Internal Research Project
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Hyperspectral Remote Sensing Image Classification via Multi-Source Cross-Domain Few-Shot Learning
1/01/23 → 31/12/25
Project: Governmental Research Project
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Infrared Data Labeling Software Development
20/05/23 → 30/09/24
Project: Collaborative Research Project
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Intelligent Monitoring and Early Warning Technology for Crane Operations in Power Grid Construction
1/11/22 → 31/01/23
Project: Collaborative Research Project
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Enhancing origin–destination flow prediction via bi-directional spatio-temporal inference and interconnected feature evolution
Yu, P., Zhang, X., Gong, Y., Zhang, J., Sun, H., Zhang, J., Zhang, X. & Yin, Y., 10 Mar 2025, In: Expert Systems with Applications. 264, 125679.Research output: Contribution to journal › Article › peer-review
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Fine-Grained Urban Flow Inference with Dynamic Multi-scale Representation Learning
Yuan, S., Li, D., Liu, W., Zhang, X., Chen, M., Zhang, J. & Gong, Y., 2025, Database Systems for Advanced Applications - 29th International Conference, DASFAA 2024, Proceedings. Onizuka, M., Lee, J-G., Tong, Y., Xiao, C., Ishikawa, Y., Lu, K., Amer-Yahia, S. & Jagadish, H. V. (eds.). Springer Science and Business Media Deutschland GmbH, p. 301-311 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14851 LNCS).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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3DBench: A Scalable 3D Benchmark and Instruction-Tuning Dataset
Zhang, J., Hu, T., Huang, X., Gong, Y. & Zeng, D., 2024, Proceedings of the 33rd International Joint Conference on Artificial Intelligence, IJCAI 2024. Larson, K. (ed.). International Joint Conferences on Artificial Intelligence, p. 1706-1714 9 p. (IJCAI International Joint Conference on Artificial Intelligence).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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A streamlined framework for BEV-based 3D object detection with prior masking
Tong, Q., Zhang, J., Yan, C. & Zeng, D., Oct 2024, In: Image and Vision Computing. 150, 105229.Research output: Contribution to journal › Article › peer-review
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A visual knowledge oriented approach for weakly supervised remote sensing object detection
Zhang, J., Ye, B., Zhang, Q., Gong, Y., Lu, J. & Zeng, D., 7 Sept 2024, In: Neurocomputing. 597, 128114.Research output: Contribution to journal › Article › peer-review