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 2010.
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, where he was elected to the Shanghai Oversea Talent Program, 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, ICME, ICASSP. 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
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
Related documents
Education/Academic qualification
PhD, University of Technology Sydney
Award Date: 20 Aug 2019
Bachelor, Nanjing University of Science and Technology
Award Date: 15 Jun 2014
Person Types
- Staff
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Collaborations and top research areas from the last five years
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NSFC Youth: Hyperspectral Image Classification Based on Multi-Source Cross-Domain Few-Shot Learning
1/01/23 → 31/12/25
Project: Governmental 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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Development of Intelligent Driving Perception Algorithms
25/10/22 → 24/10/23
Project: Collaborative Research Project
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Key Technology Research and Development for Wireless Application Platform
6/12/21 → 5/09/22
Project: Collaborative Research Project
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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
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Enhancing Semi-Supervised Few-Shot Hyperspectral Image Classification via Progressive Sample Selection
Zhao, J., Zhang, J., Huang, H. & Zhang, J., May 2024, In: Remote Sensing. 16, 10, 1747.Research output: Contribution to journal › Article › peer-review
Open Access -
Frequency-Aware Multi-Modal Fine-Tuning for Few-Shot Open-Set Remote Sensing Scene Classification
Zhang, J., Rao, Y., Huang, X., Li, G., Zhou, X. & Zeng, D., 2024, In: IEEE Transactions on Multimedia. 26, p. 7823-7837 15 p.Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus) -
GLCSA-Net: global–local constraints-based spectral adaptive network for hyperspectral image inpainting
Chen, H., Li, J., Zhang, J., Fu, Y., Yan, C. & Zeng, D., May 2024, In: Visual Computer. 40, 5, p. 3331-3346 16 p.Research output: Contribution to journal › Article › peer-review
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Leveraging Frequency-Guided Mixer and Target-Aware Attention for Ground-Based Cloud Detection
Dong, C., Li, G., Gu, Y., Zhang, J. & Zeng, D., 2024, In: IEEE Geoscience and Remote Sensing Letters. 21, p. 1-5 5 p., 6008205.Research output: Contribution to journal › Article › peer-review