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Published in IEEE Transactions on Intelligent Transportation Systems, 2024
We firstly explicitly incorporate gradient-domain enhancement for low-light images
Recommended citation: Qu, J., Liu, R. W., Gao, Y., Guo, Y., Zhu, F., & Wang, F. Y. (2024). Double domain guided real-time low-light image enhancement for ultra-high-definition transportation surveillance. IEEE Transactions on Intelligent Transportation Systems, 25(8), 9550-9562.
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Published in The Forty-second International Conference on Machine Learning (ICML), 2025
We develop an new pipeline for 3D-GNN explanation.
Recommended citation: Qu, J., Gao, W., Zhang, J., Liu, X., Wei, H., Ling, H., & Liu, Y. RISE: Radius of Influence based Subgraph Extraction for 3D Molecular Graph Explanation. In Forty-second International Conference on Machine Learning.
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Published in The Fourteenth International Conference on Learning Representations (ICLR 2026), 2026
We propose an analytical Gaussian approximation method to improve the efficiency of 3D molecular generation.
Recommended citation: Qu, J., Gao, W., Xu, R. & Liu, Y. GAGA: Gaussianity-aware Gaussian Approximation for Efficient 3D Molecular Generation. In Fourteenth International Conference on Learning Representations (ICLR).
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Introduce our work on XAI and its application to scientific discovery.
Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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