Jingxiang Qu

19 papers A* 1C 1Journal 12Unranked 5
YearRankTypeTitle / Venue / Authors
2025 A* conf
RISE: Radius of Influence based Subgraph Extraction for 3D Molecular Graph Explanation.
ICML
Jingxiang Qu, Wenhan Gao, Jiaxing Zhang, Xufeng Liu, Hua Wei, Haibin Ling, Yi Liu
2025 J jnl
RISE: Radius of Influence based Subgraph Extraction for 3D Molecular Graph Explanation.
CoRR
Jingxiang Qu, Wenhan Gao, Jiaxing Zhang, Xufeng Liu, Hua Wei, Haibin Ling, Yi Liu
2025 — conf
RL-Guider: Leveraging Historical Decisions and Feedback for Drug Editing with Large Language Models.
ACL (Findings)
Xufeng Liu, Yixuan Ding, Jingxiang Qu, Yichi Zhang, Wenhan Gao, Yi Liu
2025 J jnl
Shortening the Trajectories: Identity-Aware Gaussian Approximation for Efficient 3D Molecular Generation.
CoRR
Jingxiang Qu, Wenhan Gao, Yi Liu
2024 J jnl
Deep learning-based object detection in maritime unmanned aerial vehicle imagery: Review and experimental comparisons.
Eng. Appl. Artif. Intell.
Chenjie Zhao, Ryan Wen Liu, Jingxiang Qu, Ruobin Gao
2024 J jnl
Double Domain Guided Real-Time Low-Light Image Enhancement for Ultra-High-Definition Transportation Surveillance.
IEEE Trans. Intell. Transp. Syst.
Jingxiang Qu, Ryan Wen Liu, Yuan Gao, Yu Guo, Fenghua Zhu, Fei-Yue Wang
2024 J jnl
Multi-Task Learning-Enabled Automatic Vessel Draft Reading for Intelligent Maritime Surveillance.
IEEE Trans. Intell. Transp. Syst.
Jingxiang Qu, Ryan Wen Liu, Chenjie Zhao, Yu Guo, Sendren Sheng-Dong Xu, Fenghua Zhu, Yisheng Lv
2023 J jnl
Asynchronous Trajectory Matching-Based Multimodal Maritime Data Fusion for Vessel Traffic Surveillance in Inland Waterways.
CoRR
Yu Guo, Ryan Wen Liu, Jingxiang Qu, Yuxu Lu, Fenghua Zhu, Yisheng Lv
2023 J jnl
Asynchronous Trajectory Matching-Based Multimodal Maritime Data Fusion for Vessel Traffic Surveillance in Inland Waterways.
IEEE Trans. Intell. Transp. Syst.
Yu Guo, Ryan Wen Liu, Jingxiang Qu, Yuxu Lu, Fenghua Zhu, Yisheng Lv
2023 J jnl
Deep Learning-Based Object Detection in Maritime Unmanned Aerial Vehicle Imagery: Review and Experimental Comparisons.
CoRR
Chenjie Zhao, Ryan Wen Liu, Jingxiang Qu, Ruobin Gao
2023 J jnl
Double Domain Guided Real-Time Low-Light Image Enhancement for Ultra-High-Definition Transportation Surveillance.
CoRR
Jingxiang Qu, Ryan Wen Liu, Yuan Gao, Yu Guo, Fenghua Zhu, Fei-Yue Wang
2023 J jnl
MDSFE: Multiscale Deep Stacking Fusion Enhancer Network for Visual Data Enhancement.
IEEE Trans. Instrum. Meas.
Yu Guo, Yuxu Lu, Jingxiang Qu, Ryan Wen Liu, Wenqi Ren
2023 J jnl
Multi-Task Learning-Enabled Automatic Vessel Draft Reading for Intelligent Maritime Surveillance.
CoRR
Jingxiang Qu, Ryan Wen Liu, Chenjie Zhao, Yu Guo, Sendren Sheng-Dong Xu, Fenghua Zhu, Yisheng Lv
2023 — conf
NTIRE 2023 HR NonHomogeneous Dehazing Challenge Report.
CVPR Workshops
Codruta O. Ancuti, Cosmin Ancuti, Florin-Alexandru Vasluianu, Radu Timofte, Han Zhou, Wei Dong, Yangyi Liu, Jun Chen, Huan Liu, Liangyan Li, Zijun Wu, Yubo Dong, Yuyan Li, Tian Qiu, Yu He, Yonghong Lu, Yinwei Wu, Zhenxiang Jiang, Songhua Liu, Xingyi Yang, Yongcheng Jing, Bilel Benjdira, Anas M. Ali, Anis Koubaa, Hao-Hsiang Yang, I-Hsiang Chen, Wei-Ting Chen, Zhi-Kai Huang, Yi-Chung Chen, Chia-Hsuan Hsieh, Hua-En Chang, Yuan-Chun Chiang, Sy-Yen Kuo, Yu Guo, Yuan Gao, Ryan Wen Liu, Yuxu Lu, Jingxiang Qu, Shengfeng He, Wenqi Ren, Trung Hoang, Haichuan Zhang, Amirsaeed Yazdani, Vishal Monga, Lehan Yang, Alex Jiahao Wu, Tiancheng Mai, Xiaofeng Cong, Xuemeng Yin, Xuefei Yin, Hazim Emad, Ahmed Abdallah, Yahya Yasser, Dalia Elshahat, Esraa Elbaz, Zhan Li, Wenqing Kuang, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Zhao Zhang, Yanyan Wei, Junhu Wang, Suiyi Zhao, Huan Zheng, Jin Guo, Yangfan Sun, Tianli Liu, Dejun Hao, Kui Jiang, Anjali Sarvaiya, Kalpesh Prajapati, Ratnadeep Patra, Pragnesh Barik, Chaitanya Rathod, Kishor P. Upla, Kiran B. Raja, Raghavendra Ramachandra, Christoph Busch
2023 — conf
SCANet: Self-Paced Semi-Curricular Attention Network for Non-Homogeneous Image Dehazing.
CVPR Workshops
Yu Guo, Yuan Gao, Ryan Wen Liu, Yuxu Lu, Jingxiang Qu, Shengfeng He, Wenqi Ren
2023 J jnl
SCANet: Self-Paced Semi-Curricular Attention Network for Non-Homogeneous Image Dehazing.
CoRR
Yu Guo, Yuan Gao, Ryan Wen Liu, Yuxu Lu, Jingxiang Qu, Shengfeng He, Wenqi Ren
2022 — conf
Edge Computing-Enabled Multi-Sensor Data Fusion for Intelligent Surveillance in Maritime Transportation Systems.
DASC/PiCom/CBDCom/CyberSciTech
Jingxiang Qu, Ryan Wen Liu, Jiangtian Nie, Xianjun Deng, Zehui Xiong, Yang Zhang, Han Yu, Dusit Niyato
2022 — conf
Intelligent Maritime Surveillance Framework Driven by Fusion of Camera-Based Vessel Detection and AIS Data.
ITSC
Jingxiang Qu, Yu Guo, Yuxu Lu, Fenghua Zhu, Yingchun Huan, Ryan Wen Liu
2022 C conf
Rep-Enhancer: Re-parameterizing Neural Network for Real-time Low-light Enhancement in Visual Maritime Surveillance.
EUC
Xijing Li, Yuxu Lu, Yu Guo, Jingxiang Qu, Ryan Wen Liu