MIPC Group
Wuhan University of Technology
International Journals (国际期刊)
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Real-Time Multi-Scene Visibility Enhancement for Promoting Navigational Safety of Vessels Under Complex Weather Conditions
Ryan Wen Liu, Yuxu Lu, Yuan Gao, Yu Guo, Wenqi Ren, Fenghua Zhu, Fei-Yue Wang
IEEE Transactions on Intelligent Transportation Systems, Accept After Revision, 2024.
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Double Domain Guided Real-Time Low-Light Image Enhancement for Ultra-High-Definition Transportation Surveillance
Jingxiang Qu, Ryan Wen Liu*, Yuan Gao, Yu Guo, Fenghua Zhu*, Fei-Yue Wang
IEEE Transactions on Intelligent Transportation Systems, Accepted, 2024.
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Multi-Task Learning-Enabled Automatic Vessel Draft Reading for Intelligent Maritime Surveillance
Jingxiang Qu, Ryan Wen Liu*, Chenjie Zhao, Yu Guo, Sendren Sheng-Dong Xu, Fenghua Zhu*, Yisheng Lv
IEEE Transactions on Intelligent Transportation Systems, Accepted, 2024.
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AiOENet: All-in-One Low-Visibility Enhancement to Improve Visual Perception for Intelligent Marine Vehicles Under Severe Weather Conditions
Ryan Wen Liu, Yuxu Lu*, Yu Guo, Wenqi Ren, Fenghua Zhu*, Yisheng Lv
IEEE Transactions on Intelligent Vehicles, Accepted, 2024.
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Spatio-Temporal Multi-Graph Transformer Network for Joint Prediction of Multiple Vessel Trajectories
Ryan Wen Liu, Weixin Zheng, Maohan Liang*
Engineering Applications of Artificial Intelligence, 2024, 129: 107625.
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Deep learning-based object detection in maritime unmanned aerial vehicle imagery: Review and experimental comparisons
Chenjie Zhao, Ryan Wen Liu*, Jingxiang Qu, Ruobin Gao
Engineering Applications of Artificial Intelligence, 2024, 128: 107513.
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Blind Image Despeckling Using Multi-Scale Attention-Guided Neural Network
Yu Guo, Yuxu Lu, Ryan Wen Liu*, Fenghua Zhu
IEEE Transactions on Artificial Intelligence, 2024, 5(1): 205-216.
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Haze Visibility Enhancement for Promoting Traffic Situational Awareness in Vision-Enabled Intelligent Transportation
Yu Guo, Ryan Wen Liu*, Yuxu Lu, Jiangtian Nie, et al.
IEEE Transactions on Vehicular Technology, 2023, 72(12): 15421-15435.[CODE]
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Asynchronous Trajectory Matching-Based Multimodal Maritime Data Fusion for Vessel Traffic Surveillance in Inland Waterways
Yu Guo, Ryan Wen Liu*, Jingxiang Qu, Yuxu Lu, Fenghua Zhu, Yisheng Lv
IEEE Transactions on Intelligent Transportation Systems, 2023, 24(11): 12779-12792.[CODE][Dataset]
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Visual Exposes You: Pedestrian Trajectory Prediction Meets Visual Intention
Xian Zhong, Xu Yan, Zhengwei Yang, Wenxin Huang, Kui Jiang, Ryan Wen Liu, Zheng Wang
IEEE Transactions on Intelligent Transportation Systems, 2023, 24(9): 9390-9400.
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Rank-One Prior: Real-Time Scene Recovery
Jun Liu, Ryan Wen Liu, Jianing Sun, Tieyong Zeng
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023, 45(7): 8845-8860. [CODE]
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Online Learning based Fast-Convergent and Energy-Efficient Device Selection in Federated Edge Learning
Cheng Peng, Qin Hu, Zhilin Wang, Ryan Wen Liu, Zehui Xiong
IEEE Internet of Things Journal, 2023, 10(6): 5571-5582.
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MDSFE: Multi-scale Deep Stacking Fusion Enhancer Network for Visual Data Enhancement
Yu Guo, Yuxu Lu, Jingxiang Qu, Ryan Wen Liu*, Wenqi Ren
IEEE Transactions on Instrumentation and Measurement, 2023, 72: 5004012.
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GradDT: Gradient-Guided Despeckling Transformer for Industrial Imaging Sensors
Yuxu Lu, Yu Guo, Ryan Wen Liu*, Kwok Tai Chui, Brij B. Gupta
IEEE Transactions on Industrial Informatics, 2023, 19(2): 2238-2248.[CODE]
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Deep Network-Enabled Haze Visibility Enhancement for Visual IoT-Driven Intelligent Transportation Systems
Ryan Wen Liu, Yu Guo, Yuxu Lu, Kwok Tai Chui, Brij B. Gupta
IEEE Transactions on Industrial Informatics, 2023, 19(2): 1581-1591. [CODE] (ESI Highly Cited Paper)
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A two-step image stabilisation method for promoting visual quality in vision-enabled maritime surveillance systems
Yanhong Huang, Ryan Wen Liu*, Jingxian Liu
IET Intelligent Transport Systems, 2023, 17(2): 435-449.
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QSD-LSTM: Vessel Trajectory Prediction Using Long Short-Term Memory with Quaternion Ship Domain
Ryan Wen Liu, Kunlin Hu, Maohan Liang, Yan Li, Xin Liu, Dong Yang
Applied Ocean Research, 2023, 136: 103592.
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Orientation-aware ship detection via a rotation feature decoupling supported deep learning approach
Xinqiang Chen, Hao Wu Wu, Bing Han, Wei Liu Liu, Jakub Montewka, Ryan Wen Liu*
Engineering Applications of Artificial Intelligence, 2023, 125: 106686.
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Interval prediction of vessel trajectory based on lower and upper bound estimation and attention-modified LSTM with bayesian optimization
Yukuan Wang, Jingxian Liu*, Ryan Wen Liu*, Weihuang Wu, Yang Liu
Physica A: Statistical Mechanics and its Applications, 2023, 129275.
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Deep Learning-Driven Surveillance Quality Enhancement for Maritime Management Promotion Under Low-Visibility Weathers
Jingxiang Qu, Yuan Gao, Yuxu Lu*, Wenyu Xu, Ryan Wen Liu*
Ocean & Coastal Management, 2023, 235: 106478.
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Improving maritime traffic surveillance in inland waterways using the robust fusion of AIS and visual data
Jingxiang Qu, Ryan Wen Liu*, Yu Guo, Yuxu Lu, Jianlong Su, Peizheng Li
Ocean Engineering, 2023, 275: 114198.[CODE][Dataset]
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Data-Driven Methods for Detection of Abnormal Ship Behavior: Progress and Trends
Yukuan Wang, Jingxian Liu*, Ryan Wen Liu*, Yang Liu, Yuan Zhi
Ocean Engineering, 2023, 271: 113673.
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Ship Collision Risk Analysis: Modelling, Visualization and Prediction
Ryan Wen Liu, Xiaojie Huo, Maohan Liang*, Kai Wang
Ocean Engineering, 2022, 266: 112895.
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Attention-Guided Lightweight Generative Adversarial Network for Low-Light Image Enhancement in Maritime Video Surveillance
Ryan Wen Liu, Nian Liu, Yanhong Huang, Yu Guo
The Journal of Navigation, 2022, 75(5): 1100-1117.
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Fine-Grained Vessel Traffic Flow Prediction with a Spatio-Temporal Multi-Graph Convolutional Network
Maohan Liang, Ryan Wen Liu*, Yang Zhan, Huanhuan Li, Fenghua Zhu*, Fei-Yue Wang
IEEE Transactions on Intelligent Transportation Systems, 2022, 23(12): 23694-23707.
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Privacy-preserving Anomaly Detection in Cloud Manufacturing via Federated Transformer
Shiyao Ma, Jiangtian Nie, Jiawen Kang, Lingjuan Lyu, Ryan Wen Liu, Ruihui Zhao, Ziyao Liu, Dusit Niyato
IEEE Transactions on Industrial Informatics, 2022, 18 (12): 8977-8987.
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STMGCN: Mobile Edge Computing-Empowered Vessel Trajectory Prediction Using Spatio-Temporal Multi-Graph Convolutional Networks
Ryan Wen Liu, Maohan Liang, Jiangtian Nie, Yanli Yuan*, Zehui Xiong, Nadra Guizani
IEEE Transactions on Industrial Informatics, 2022, 18 (11): 7977-7987. [CODE](ESI Highly Cited Paper)
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Deep Learning-Powered Vessel Trajectory Prediction for Improving Smart Traffic Services in Maritime Internet of Things
Ryan Wen Liu, Maohan Liang, Jiangtian Nie, et al.
IEEE Transactions on Network Science and Engineering, 2022, 9 (5): 3080-3094 (ESI Highly Cited Paper,Hot Paper)
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Intelligent Edge-Enabled Efficient Multi-Source Data Fusion for Autonomous Surface Vehicles in Maritime Internet of Things
Ryan Wen Liu, Yu Guo, Jiangtian Nie*, Qin Hu, Zehui Xiong, Han Yu, Mohsen Guizani
IEEE Transactions on Green Communications and Networking, 2022, 6 (3): 1574-1587.
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Big Data Driven Vessel Trajectory and Navigating State Prediction with Adaptive Learning, Motion Modeling and Particle Filtering Techniques
Zhe Xiao, Xiuju Fu, Liye Zhang, Wanbing Zhang, Ryan Wen Liu, Zhao Liu, Rick Siow Mong Goh
IEEE Transactions on Intelligent Transportation Systems, 2022, 23 (4): 3696-3709 (ESI Highly Cited Paper)
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MTRBNet: Multi-branch Topology Residual Block-based Network for Low-light Enhancement
Yuxu Lu, Yu Guo, Ryan Wen Liu*, Wenqi Ren
IEEE Signal Processing Letters, 2022, 29: 1127-1131. [CODE]
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Spatially Adapted First and Second Order Regularization for Image Reconstruction: From an Image Surface Perspective
Qiuxiang Zhong, Ryan Wen Liu, Yuping Duan
Journal of Scientific Computing, 2022, 92(2): 33.
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Unsupervised Hierarchical Methodology of Maritime Traffic Pattern Extraction for Knowledge Discovery
Huanhuan Li, Jasmine Siu Lee Lam*, Zaili Yang, Jingxian Liu, Ryan Wen Liu*, Maohan Liang, Yan Li
Transportation Research Part C: Emerging Technologies, 2022, 143: 103856.
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AdapGL: An adaptive graph learning algorithm for traffic prediction based on spatiotemporal neural networks
Wei Zhang, Fenghua Zhu, Yisheng Lv, Chang Tan, Wen Liu, Xin Zhang, Feiyue Wang
Transportation Research Part C: Emerging Technologies, 2022, 139: 103659.
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Lightweight Deep Network-Enabled Real-Time Low-Visibility Enhancement for Promoting Vessel Detection in Maritime Video Surveillance
Yu Guo, Yuxu Lu, Ryan Wen Liu*
The Journal of Navigation, 2022, 75(1): 230-250. (ESI Highly Cited Paper)[CODE]
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MVFFNet: Multi-view Feature Fusion Network for Imbalanced Ship Classification
Maohan Liang, Yang Zhan, Ryan Wen Liu*
Pattern Recognition Letters, 2021, 151: 26-32.
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A Highly Efficient Vehicle Taillight Detection Approach Based on Deep Learning
Qiaohong Li, Sahil Garg, Jiangtian Nie, Xiang Li, Ryan Wen Liu, Zhiguang Cao, M. Shamim Hossain
IEEE Transactions on Intelligent Transportation Systems, 2021, 22 (7): 4716-4726.
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QR-3S: A High Payload QR code Secret Sharing System for Industrial Internet of Things in 6G Networks
Lizhi Xiong, Xinwei Zhong, Neal N Xiong, Ryan Wen Liu
IEEE Transactions on Industrial Informatics, 2021, 17 (10): 7213-7222.
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Data-Driven Trajectory Quality Improvement for Promoting Intelligent Vessel Traffic Services in 6G-Enabled Maritime IoT Systems
Ryan Wen Liu, Jiangtian Nie, Sahil Garg, Zehui Xiong, Yang Zhang, M. Shamim Hossain
IEEE Internet of Things Journal, 2021, 8 (7): 5374-5385. (ESI Highly Cited Paper)
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An Enhanced CNN-Enabled Learning Method for Promoting Ship Detection in Maritime Surveillance System
Ryan Wen Liu, Weiqiao Yuan, Xinqiang Chen, Yuxu Lu*
Ocean Engineering, 2021, 235: 109435. (ESI Highly Cited Paper)
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An Unsupervised Learning Method with Convolutional Auto-Encoder for Vessel Trajectory Similarity Computation
Maohan Liang, Ryan Wen Liu*, Shichen Li, Zhe Xiao, Xin Liu, Feng Lu*
Ocean Engineering, 2021, 225: 108803.
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Blockchain and IoT for Insurance: A Case Study and Cyberinfrastructure Solution on Fine-grained Transportation Insurance
Zhe Xiao, Zengxiang Li, Yechao Yang, Piao Chen, Ryan Wen Liu, Wei Jing, Yauheni Pyrloh, Ekanut Sotthiwat, Rick Siow Mong Goh
IEEE Transactions on Computational Social Systems, 2020, 17(6): 409-1422.
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GPU-Accelerated Compression and Visualization of Large-Scale Vessel Trajectories in Maritime IoT Industries
Yu Huang, Yan Li, Zhaofeng Zhang, Ryan Wen Liu*
IEEE Internet of Things Journal, 2020, 7(11): 10794-10812.
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A Multi-task Analysis and Modelling Paradigm using LSTM for Multi-source Monitoring Data of Inland Vessels
Zhi Yuan, Jingxian Liu, Yi Liu, Qian Zhang, Ryan Wen Liu
Ocean Engineering, 2020, 213: 107604.
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Adaptively Constrained Dynamic Time Warping for Time Series Classification and Clustering
Huanhuan Li, Jingxian Liu, Zaili Yang, Ryan Wen Liu*, Kefeng Wu, Yuan Wan
Information Sciences, 2020, 534: 97-116.
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Low-Light Image Enhancement with Regularized Illumination Optimization and Deep Noise Suppression
Yu Guo, Yuxu Lu, Ryan Wen Liu*, Meifang Yang, Kwok Tai Chui
IEEE Access, 2020, 8: 145297-145315. [CODE]
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Alternating minimization algorithm for hybrid regularized variational image dehazing
Qiaoling Shu, Chuansheng Wu, Qiuxiang Zhong, Ryan Wen Liu*
Optik — International Journal for Light and Electron Optics, 2019, 185: 943-956.
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Big data and IoT solution for patient behaviour monitoring
Kwok Tai Chui, Ryan Wen Liu, Miltiadis D Lytras, Mingbo Zhao
Behaviour & Information Technology, 2019, 38(9): 940-949.
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Head motion coefficient-based algorithm for distracted driving detection
Kwok Tai Chui, Wadee Alhalabi, Ryan Wen Liu
Data Technologies and Applications, 2019, 53(2): 171-188.
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Undersampled CS Image Reconstruction Using Nonconvex Nonsmooth Mixed Constraints
Ryan Wen Liu, Wei Yin, Lin Shi, Jinming Duan, Simon C.H. Yu, Defeng Wang
Multimedia Tools and Applications, 2019, 78(10): 12749–12782.
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Rician noise and intensity nonuniformity correction (NNC) model for MRI data
Lu Liu, Huan Yang, Jiyun Fan, Ryan Wen Liu, Yuping Duan
Biomedical Signal Processing and Control, 2019, 49: 506-519.
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Spatially adaptive total generalized variation-regularized image deblurring with impulse noise
Qiuxiang Zhong, Chuansheng Wu, Qiaoling Shu, Ryan Wen Liu*
Journal of Electronic Imaging, 2018, 27(5): 053006.
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Variational total curvature model for multiplicative noise removal
Xinli Xu, Teng Yu, Xinmei Xu, Guojia Hou, Ryan Wen Liu, Huizhu Pan
IET Computer Vision, 2018, 12(4): 542-552.
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A Robust GA/PSO-Hybrid Algorithm in Intelligent Shipping Route Planning Systems for Maritime Traffic Networks
Zhao Liu, Jingxian Liu, Feng Zhou, Ryan Wen Liu*, Naixue Xiong
Journal of Internet Technology, 2018, 19(6): 1635-1644.
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Mixed models of single-berth interarrival time distributions
Yi Liu, Xiaoxia Luo, Jingxian Liu, Zongzhi Li, Ryan Wen Liu
Journal of Waterway, Port, Coastal, and Ocean Engineering, 2018, 144(1): 04017034.
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Characteristics analysis of vessel traffic flow and its mathematical model
Zhao Liu, Jingxian Liu, Zongzhi Li, Ryan Wen Liu*, Naixue Xiong
Journal of Marine Science and Technology, 2017, 25(2): 230-241.
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Implementation of high‐order variational models made easy for image processing
Wenqi Lu, Jinming Duan, Zhaowen Qiu, Zhenkuan Pan, Ryan Wen Liu, Li Bai
Mathematical Methods in the Applied Sciences, 2016, 39(14): 4208-4233. (ESI Highly Cited Paper)
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Dynamic ship domain models for capacity analysis of restricted water channels
Jingxian Liu, Feng Zhou, Zongzhi Li, Maoqing Wang, Ryan Wen Liu*
The Journal of Navigation, 2016, 69(3): 481-503.
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Box-Constrained Second-Order Total Generalized Variation Minimization with a Combined L1,2 Data-Fidelity Term for Image Reconstruction
Ryan Wen Liu, Lin Shi, Simon C.H. Yu, Defeng Wang
Journal of Electronic Imaging, 2015, 24(3): 033026.
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A Two-Step Optimization Approach for Nonlocal Total Variation-Based Rician Noise Reduction in Magnetic Resonance Images
Ryan Wen Liu, Lin Shi, Simon C.H. Yu, Defeng Wang
Medical Physics, 2015, 42(9): 5167-5187.
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Generalized Total Variation-Based MRI Rician Denoising Model with Spatially Adaptive Regularization Parameters
Ryan Wen Liu, Lin Shi, Wenhua Huang, Jing Xu, Simon C.H. Yu, Defeng Wang
Magnetic Resonance Imaging, 2014, 32(6): 702-720.
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Automatic detection of arterial input function in dynamic enhanced MRI based on affinity propagation clustering
Lin Shi, Defeng Wang, Wen Liu, Kui Fang, Yi-Xiang J Wang, et al.
Journal of Magnetic Resonance Imaging, 2014, 39(5): 1327-1337. (Cover Page)
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A Predictor-Corrector Iterated Tikhonov Regularization for Linear Ill-Posed Inverse Problems
Wen Liu, Chuansheng Wu.
Applied Mathematics and Computation, 2013, 221: 802-818.
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A survey of GPU-based medical image computing techniques
Lin Shi, Wen Liu, Heye Zhang, Yongming Xie, Defeng Wang.
Quantitative Imaging in Medicine and Surgery, 2012, 2(3): 188-206.
Domestic Journals (国内期刊)
- 多特征点驱动的船舶轨迹聚类方法
牛雯钰, 梁茂晗, 刘文*, 熊盛武. 交通信息与安全 , 2023, 41(1): 62-74.
- 基于秩最小化矩阵去噪的船舶轨迹重构方法
刘文*, 汪文博. 交通运输系统工程与信息, 2022, 22(1): 106-114.
- 移动目标轨迹预测方法研究综述
刘文, 胡琨林, 李岩, 刘钊. 智能科学与技术学报, 2021, 3(2): 149-160.
- 基于局部生成对抗网络的水上低照度图像增强
刘文, 杨梅芳, 聂江天, 章阳, 杨和林, 熊泽辉. 计算机工程, 2021, 47(5): 16-23. (热点论文)
- 基于梯度曲面面积与稀疏约束的图像平滑方法
李辉, 吴传生, 刘俊, 刘文. 计算机应用, 2021, 41(7): 2039-2047.
- 复杂场景下基于增强YOLOv3的船舶目标检测
聂鑫, 刘文*, 吴巍. 计算机应用, 2020, 40(9): 2561-2570.
- 混合非凸非光滑正则化约束的模糊图像盲复原
耿源谦, 吴传生, 刘文*. 计算机应用, 2020, 40(4): 1171-1176.
- 基于暗通道和多正则化约束的图像去雾方法
舒巧玲, 吴传生, 刘文*. 计算机工程与设计, 2019, 40(7): 1950-1955.
- 含脉冲噪声模糊图像复原的自适应二阶变分模型
钟秋祥, 吴传生, 刘文*. 计算机应用研究, 2018, 35(10): 3158-3163.
- 基于非凸低秩稀疏约束的船舶交通流量预测
杨双双, 吴传生, 刘钊, 刘文*, 刘敬贤. 计算机应用研究, 2018, 35(1): 43-47.
- 内河船舶AIS网络通信性能研究
吴建华, 郭俊维, 刘文, 吴琛. 交通信息与安全, 2017, (3): 59-67.
- 船舶AIS轨迹异常的自动检测与修复算法
吴建华, 吴琛, 刘文, 郭俊维. 中国航海, 2017, 40(1): 8-12.
- 基于首次穿越理论的船舶搁浅风险计算
赵江艳, 刘文, 张明阳, 徐强强, 谢平. 中国航海, 2017, 40(4): 39-44+124.
- 自适应全变分图像去噪模型及其快速求解
刘文, 吴传生, 许田. 计算机应用研究, 2011, 28(12): 4797-4800.
- 含噪径向模糊图像的复原算法研究
刘文, 吴传生, 吕琪. 武汉理工大学学报, 2011, 33(4): 139-143.
- 锚地泊位系统服务能力仿真
刘敬贤, 李昌伟, 刘文. 大连海事大学学报, 2010, 36(2): 11-14.
- 船舶交通流组合预测方法研究
刘敬贤, 张涛, 刘文. 中国航海, 2009, 32(3): 80-84.
- 基于元胞自动机的短信网络病毒传播模拟
刘文, 吴传生. 复杂系统与复杂性科学, 2009, 6(3): 81-86.
International Conferences (国际会议)
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A Deep Graph Matching-Based Method for Trajectory Association in Vessel Traffic Surveillance
Yuchen Lu, Xiangkai Zhang, Xu Yang, Pin Lv, Liguo Sun, Ryan Wen Liu, Yisheng Lv
The 30th International Conference on Neural Information Processing (ICONIP 2023), Changsha, China, 20-23 Nov., 2023. (Best Student Paper Award)
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Vessel Behavior Anomaly Detection Using Graph Attention Network
Yuanzhe Zhang, Qiqiang Jin, Maohan Liang, Ruixin Ma, Ryan Wen Liu*
The 30th International Conference on Neural Information Processing (ICONIP 2023), Changsha, China, 20-23 Nov., 2023.
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SCANet: Self-Paced Semi-Curricular Attention Network for Non-Homogeneous Image Dehazing
Yu Guo, Yuan Gao, Ryan Wen Liu*, Yuxu Lu, Jingxiang Qu, Shengfeng He, Wenqi Ren
IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2023), Vancouver, BC, Canada, 17-24 Jun., 2023.
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Rep-Enhancer: Re-parameterizing Neural Network for Real-time Low-light Enhancement in Visual Maritime Surveillance
Xijing Li, Yuxu Lu, Yu Guo, Jingxiang Qu, Ryan Wen Liu*
IEEE The 20th International Conference on Embedded and Ubiquitous Computing (EUC 2022), Wuhan, China, 09-11 Dec., 2022. (IEEE Outstanding Leadership Award)
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Intelligent Maritime Surveillance Framework Driven by Fusion of Camera-Based Vessel Detection and AIS Data
Jingxiang Qu, Yu Guo, Yuxu Lu, Fenghua Zhu, Yingchun Huan, Ryan Wen Liu
IEEE The 25th International Conference on Intelligent Transportation Systems (ITSC 2022), Macau, China, 08-12 Oct., 2022.
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Fast Deep Multi-patch Progressive Network for Low-light Image Enhancement in Intelligent Transportation Systems
Yuxu Lu, Yu Guo, Yanhong Huang, Fenghua Zhu, Xianjun Hu, Ryan Wen Liu
IEEE The 25th International Conference on Intelligent Transportation Systems (ITSC 2022), Macau, China, 08-12 Oct., 2022.
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Edge Computing-Enabled Multi-Sensor Data Fusion for Intelligent Surveillance in Maritime Transportation Systems
Jingxiang Qu, Ryan Wen Liu, Jiangtian Nie, Xianjun Deng, Zehui Xiong, Yang Zhang, Han Yu, Dusit Niyato
IEEE Intl Conf on Dependable, Autonomic and Secure Computing (DASC 2022), Falerna, Italy, 12-15 Sept., 2022.
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DADFNet: Dual Attention and Dual Frequency-Guided Dehazing Network for Video-Empowered Intelligent Transportation
Yu Guo, Ryan Wen Liu, Jiangtian Nie, et al.
AAAI Workshop: AI for Transportation, Vancouver, BC, Canada, 22 Feb.-1 Mar., 2022. (Best Paper Award)
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Towards Low-Visibility Enhancement in Maritime Video Surveillance: An Efficient and Effective Multi-Deep Neural Network
Yuxu Lu, Yu Guo, Fenghua Zhu, Ryan Wen Liu
IEEE International Intelligent Transportation Systems Conference (ITSC 2021), Indianapolis, IN, USA, 19-22 Sept., 2021.
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Heterogeneous Twin Dehazing Network for Visibility Enhancement in Maritime Video Surveillance
Yu Guo, Yuxu Lu, Ryan Wen Liu, Lizheng Wang, Fenghua Zhu
IEEE International Intelligent Transportation Systems Conference (ITSC 2021), Indianapolis, IN, USA, 19-22 Sept., 2021. [CODE]
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Rank-One Prior: Toward Real-Time Scene Recovery
Jun Liu, Ryan Wen Liu, Jianing Sun, Tieyong Zeng
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021) , Virtually, 19-25 June, 2021.
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DSPNet: Deep Learning-Eanbled Blind Reduction of Speckle Noise
Yuxu Lu, Meifang Yang, Ryan Wen Liu*
IEEE The 25th International Conference on Pattern Recognition (ICPR 2020) , Milan, Italy, 10-15 January, 2021. [CODE]
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Multi-Scale Residual Network for Image Classification
Xian Zhong, Oubo Gong, Wenxin Huang, Jingling Yuan, Bo Ma, Ryan Wen Liu
The 45th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2020), Barcelona, Spain, 4-8 May, 2020.
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Variational Regularized Transmission Refinement for Image Dehazing
Qiaoling Shu, Chuansheng Wu, Zhe Xiao, Ryan Wen Liu*
The 26th IEEE International Conference on Image Processing (ICIP 2019), Taipei, Taiwan, 22-25 Sep., 2019. (Top 10% Paper)
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Coarse-to-Fine Luminance Estimation for Low-Light Image Enhancement in Maritime Video Surveillance
Meifang Yang, Xin Nie, Ryan Wen Liu*
The 22nd IEEE International Conference on Intelligent Transportation Systems (ITSC 2019), Auckland, NZ, 27-30 Oct., 2019.
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Deep Neural Network-Based Robust Ship Detection Under Different Weather Conditions
Xin Nie, Meifang Yang, Ryan Wen Liu*
The 22nd IEEE International Conference on Intelligent Transportation Systems (ITSC 2019), Auckland, NZ, 27-30 Oct., 2019.
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Learning a deep convolutional network for speckle noise reduction in underwater sonar images
Yuxu Lu, Ryan Wen Liu*, Fenge Chen, Liang Xie
The 11th International Conference on Machine Learning and Computing (ICMLC 2019), Zhuhai, China, 22-24 Feb., 2019. (Excellent Oral Presentation)
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L0-Regularized Hybrid Gradient Sparsity Priors for Robust Single-Image Blind Deblurring
Ryan Wen Liu, Wei Yin, Shengwu Xiong, Silong Peng
The 43rd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2018), Calgary, Alberta, Canada, 15-20 April, 2018.
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A Second-Order Variational Framework for Joint Depth Map Estimation and Image Dehazing
Ryan Wen Liu, Shengwu Xiong, Huisi Wu
The 43rd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2018), Calgary, Alberta, Canada, 15-20 Apr., 2018.
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Two-Phase Transmission Map Estimation for Robust Image Dehazing
Qiaoling Shu, Chuansheng Wu, Ryan Wen Liu*, Kwok Tai Chui, Shengwu Xiong
The 25th International Conference on Neural Information Processing (ICONIP 2018), Siem Reap, Cambodia, 13-16 Dec., 2018.
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EMD-Based Recurrent Neural Network with Adaptive Regrouping for Port Cargo Throughput Prediction
Yan Li, Ryan Wen Liu*, Quandang Ma, Jingxian Liu
The 25th International Conference on Neural Information Processing (ICONIP 2018), Siem Reap, Cambodia, 13-16 Dec., 2018.
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Vessel Traffic Flow Separation-Prediction Using Low-Rank and Sparse Decomposition
Ryan Wen Liu, Jinwei Chen, Zhao Liu, Yan Li, Yi Liu, Jingxian Liu
IEEE The 20th International Conference on Intelligent Transportation Systems (ITSC 2017), Yokohama, Japan, 16-19 Oct., 2017.
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Single-Image Blind Deblurring With Hybrid Sparsity Regularization
Ryan Wen Liu, Yan Li, Yi Liu, Jinming Duan, Tian Xu, Jingxian Liu
IEEE The 20th International Conference on Information Fusion (FUSION 2017), Xi’an, China, 10-13 Jul., 2017.
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Hybrid Regularization for Compressed Sensing MRI: Exploiting Shearlet Transform and Group-Sparsity Total Variation
Ryan Wen Liu, Lin Shi, Simon C.H. Yu, Defeng Wang
IEEE The 20th International Conference on Information Fusion (FUSION 2017), Xi’an, China, 10-13 Jul., 2017.
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Trajectory compression-guided visualization of spatio-temporal AIS vessel density
Yan Li, Ryan Wen Liu*, Jingxian Liu, Yu Huang, Bin Hu, Kai Wang
IEEE The 8th International Conference on Wireless Communications and Signal Processing (WCSP 2016), Yangzhou, Jiangsu, China, 13-15 Oct., 2016.
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Constrained Nonconvex Hybrid Variational Model for Edge-Preserving Image Restoration
Ryan Wen Liu, Di Wu, Chuan-Sheng Wu, Tian Xu, Naixue Xiong
IEEE International Conference on Systems, Man, and Cybernetics (SMC 2015), Hong Kong, China, 9-12 Oct., 2015, pp: 1809-1814.
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Hybrid Regularized Blur Kernel Estimation for Single-Image Blind Deconvolution
Ryan Wen Liu, Di Wu, Chuan-Sheng Wu, Naixue Xiong
IEEE International Conference on Systems, Man, and Cybernetics (SMC 2015), Hong Kong, China, 9-12 Oct., 2015, pp: 1815-1820.
学术著作
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Internet of Things and Artificial Intelligence in Transportation Revolution
Miltiadis D. Lytras, Kwok Tai Chui, Ryan Wen Liu
MDPI AG, ISBN 978-3-0365-0310-3 (Hbk), ISBN 978-3-0365-0311-0 (PDF), Apr., 2021.
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Innovations, Algorithms, and Applications in Cognitive Informatics and Natural Intelligence
Kwok Tai Chui, Miltiadis D. Lytras, Ryan Wen Liu, Mingbo Zhao
Engineering Science Reference, ISBN-10: 1799830381, ISBN-13: 978-1799830382), Jan., 2020.
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