Recent First or Co-first Author Publications

GAGA: Gaussianity-aware Gaussian Approximation for Efficient 3D Molecular Generation

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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RISE: Radius of Influence based Subgraph Extraction for 3D Molecular Graph Explanation

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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Double domain guided real-time low-light image enhancement for ultra-high-definition transportation surveillance

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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Other First or Co-first Publications

Jingxiang Qu, et al. Improving maritime traffic surveillance in inland waterways using the robust fusion of AIS and visual data. Ocean Engineering 275 (2023): 114198.
Jingxiang Qu, et al. Deep learning-driven surveillance quality enhancement for maritime management promotion under low-visibility weathers. Ocean & Coastal Management 235 (2023): 106478.
Jingxiang Qu, et al. Multi-task learning-enabled automatic vessel draft reading for intelligent maritime surveillance. IEEE Transactions on Intelligent Transportation Systems 25.5 (2023): 4552-4564.
Jingxiang Qu, et al. “Edge computing-enabled multi-sensor data fusion for intelligent surveillance in maritime transportation systems.” 2022 IEEE DASC. IEEE, 2022.

Other Coorperated Publications

Liu, X., Ding, Y., Qu, J., Zhang, Y., Gao, W., & Liu, Y. (2025). RL-Guider: Leveraging historical decisions and feedback for drug editing with large language models. Findings of the Association for Computational Linguistics: ACL 2025.
Zhao, C., Liu, R. W., Qu, J., & Gao, R. (2024). Deep learning-based object detection in maritime unmanned aerial vehicle imagery: Review and experimental comparisons. Engineering Applications of Artificial Intelligence, 128, 107513.
Guo, Y., Liu, R. W., Qu, J., Lu, Y., Zhu, F., & Lv, Y. (2023). Asynchronous trajectory matching-based multimodal maritime data fusion for vessel traffic surveillance in inland waterways. IEEE Transactions on Intelligent Transportation Systems, 24(11), 12779-12792.
Guo, Y., Gao, Y., Liu, W., Lu, Y., Qu, J., He, S., & Ren, W. (2023). SCANet: Self-paced semi-curricular attention network for non-homogeneous image dehazing. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 1885-1894).
Guo, Y., Lu, Y., Qu, J., Liu, R. W., & Ren, W. (2022). MDSFE: Multiscale deep stacking fusion enhancer network for visual data enhancement. IEEE Transactions on Instrumentation and Measurement, 72, 1-12.