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portfolio
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publications
SCU-Counting: A large-scale benchmark dataset for multi-class object counting
Published in Transportation Research Part C: Emerging Technologies, 2024
This paper proposes a spatiotemporal deep learning framework for citywide short-term crash risk prediction across multiple temporal resolutions, integrating historical crash data, traffic dynamics, and point-of-interest information.
Recommended citation: Wei, X.-Y., Zhang, L., Ma, H.-Y., & Zhang, X.-F. (2024). SCU-Counting: A large-scale benchmark dataset for multi-class object counting. Journal or Conference Name.
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Paper Title Number 5, with math \(E=mc^2\)
Published in GitHub Journal of Bugs, 2024
This paper is about a famous math equation, \(E=mc^2\)
Recommended citation: Your Name, You. (2024). "Paper Title Number 3." GitHub Journal of Bugs. 1(3).
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Multi-class Object Counting Network with Adaptive Class Alignment Loss for Remote Sensing Images
Published in IEEE Signal Processing Letters, 2025
The paper proposes ACA-MOCN, a well-designed multi-class object counting framework combining adaptive class alignment loss and a filtering feature pyramid network. The approach effectively addresses class imbalance and fine-grained feature fusion in remote sensing images.
Recommended citation: Z. Zhu, L. Zhang, H. -Y. Ma, X. -Y. Wei and Y. Zhang, "Multi-class Object Counting Network with Adaptive Class Alignment Loss for Remote Sensing Images. IEEE Signal Processing Letters.
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talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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