A predictor-corrector iterated Tikhonov regularization for linear ill-posed inverse problems. - Ryan Wen Liu; Chuansheng Wu (Appl. Math. Comput., 2013)

A Robust Alternating Direction Method for Constrained Hybrid Variational Deblurring Model. - Ryan Wen Liu; Tian Xu 001 (CoRR, 2013)

Hybrid Regularized Blur Kernel Estimation for Single-Image Blind Deconvolution. - Ryan Wen Liu; Di Wu; Chuan-Sheng Wu; Naixue Xiong (SMC, 2015)

Constrained Nonconvex Hybrid Variational Model for Edge-Preserving Image Restoration. - Ryan Wen Liu; Di Wu; Chuan-Sheng Wu; Tian Xu 001; Naixue Xiong (SMC, 2015)

Box-constrained second-order total generalized variation minimization with a combined L1, 2 data-fidelity term for image reconstruction. - Ryan Wen Liu; Lin Shi 001; Simon C. H. Yu; Defeng Wang (J. Electronic Imaging, 2015)

Robust two-step image restoration with adaptive regularization parameter. - Ryan Wen Liu; Weihuang Wu; Maohan Liang; Tian Xu 001; Jingxian Liu (ICIIP, 2016)

Trajectory compression-guided visualization of spatio-temporal AIS vessel density. - Yan Li; Ryan Wen Liu; Jingxian Liu; Yu Huang; Bin Hu; Kai Wang (WCSP, 2016)

Single-image blind deblurring with hybrid sparsity regularization. - Ryan Wen Liu; Yan Li; Yi Liu; Jinming Duan 001; Tian Xu 001; Jingxian Liu (FUSION, 2017)

Hybrid regularization for compressed sensing MRI: Exploiting shearlet transform and group-sparsity total variation. - Ryan Wen Liu; Lin Shi 001; Simon C. H. Yu; Defeng Wang (FUSION, 2017)

Vessel traffic flow separation-prediction using low-rank and sparse decomposition. - Ryan Wen Liu; Jinwei Chen; Zhao Liu; Yan Li; Yi Liu; Jingxian Liu (ITSC, 2017)

A Dimensionality Reduction-Based Multi-Step Clustering Method for Robust Vessel Trajectory Analysis. - Huanhuan Li 001; Jingxian Liu; Ryan Wen Liu; Naixue Xiong; Kefeng Wu; Tai-Hoon Kim (Sensors, 2017)

Reconstruction of Undersampled Big Dynamic MRI Data Using Non-Convex Low-Rank and Sparsity Constraints. - Ryan Wen Liu; Lin Shi 001; Simon Chun-Ho Yu; Naixue Xiong; Defeng Wang (Sensors, 2017)

Effective Alternating Direction Optimization Methods for Sparsity-Constrained Blind Image Deblurring. - Naixue Xiong; Ryan Wen Liu; Maohan Liang; Di Wu; Zhao Liu; Huisi Wu (Sensors, 2017)

A Second-Order Variational Framework for Joint Depth Map Estimation and Image Dehazing. - Ryan Wen Liu; Shengwu Xiong 001; Huisi Wu (ICASSP, 2018)

Lo-Regularized Hybrid Gradient Sparsity Priors for Robust Single-Image Blind Deblurring. - Ryan Wen Liu; Wei Yin; Shengwu Xiang; Silang Peng (ICASSP, 2018)

EMD-Based Recurrent Neural Network with Adaptive Regrouping for Port Cargo Throughput Prediction. - Yan Li; Ryan Wen Liu; Quandang Ma; Jingxian Liu (ICONIP (1), 2018)

Two-Phase Transmission Map Estimation for Robust Image Dehazing. - Qiaoling Shu; Chuansheng Wu; Ryan Wen Liu; Kwok Tai Chui; Shengwu Xiong 001 (ICONIP (6), 2018)

OCT Segmentation: Integrating Open Parametric Contour Model of the Retinal Layers and Shape Constraint to the Mumford-Shah Functional. - Jinming Duan 001; Weicheng Xie 001; Ryan Wen Liu; Christopher R. Tench; Irene Gottlob; Frank Proudlock; Li Bai 001 (ShapeMI@MICCAI, 2018)

Spatio-Temporal Vessel Trajectory Clustering Based on Data Mapping and Density. - Huanhuan Li 001; Jingxian Liu; Kefeng Wu; Zaili Yang; Ryan Wen Liu; Naixue Xiong (IEEE Access, 2018)

Variational Regularized Tree-Structured Wavelet Sparsity for CS-SENSE Parallel Imaging. - Ryan Wen Liu; Quandang Ma; Simon C. H. Yu; Kwok Tai Chui; Naixue Xiong (IEEE Access, 2018)

Variational total curvature model for multiplicative noise removal. - Xinli Xu; Teng Yu; Xinmei Xu; Guojia Hou; Ryan Wen Liu; Huizhu Pan (IET Comput. Vis., 2018)

Spatially adaptive total generalized variation-regularized image deblurring with impulse noise. - Qiuxiang Zhong; Chuansheng Wu; Qiaoling Shu; Ryan Wen Liu (J. Electronic Imaging, 2018)

Variational Regularized Transmission Refinement for Image Dehazing. - Qiaoling Shu; Chuansheng Wu; Zhe Xiao; Ryan Wen Liu (ICIP, 2019)

Learning a Deep Convolutional Network for Speckle Noise Reduction in Underwater Sonar Images. - Yuxu Lu; Ryan Wen Liu; Fenge Chen; Liang Xie 001 (ICMLC, 2019)

Deep Neural Network-Based Robust Ship Detection Under Different Weather Conditions. - Xin Nie; Meifang Yang; Ryan Wen Liu (ITSC, 2019)

Coarse-to-Fine Luminance Estimation for Low-Light Image Enhancement in Maritime Video Surveillance. - Meifang Yang; Xin Nie; Ryan Wen Liu (ITSC, 2019)

A Cloud-Based Real Time Polluted Gas Spread Simulation Approach on Virtual Reality Networking. - Zhengwei He; Lan You; Ryan Wen Liu; Fan Yang 033; Jie Ma; Naixue Xiong (IEEE Access, 2019)

Similarity Grouping-Guided Neural Network Modeling for Maritime Time Series Prediction. - Yan Li; Ryan Wen Liu; Zhao Liu; Jingxian Liu (IEEE Access, 2019)

Adaptive Douglas-Peucker Algorithm With Automatic Thresholding for AIS-Based Vessel Trajectory Compression. - Jingxian Liu; Huanhuan Li 001; Zaili Yang; Kefeng Wu; Yi Liu; Ryan Wen Liu (IEEE Access, 2019)

Big data and IoT solution for patient behaviour monitoring. - Kwok Tai Chui; Ryan Wen Liu; Miltiadis D. Lytras; Mingbo Zhao (Behav. Inf. Technol., 2019)

Rician noise and intensity nonuniformity correction (NNC) model for MRI data. - Lu Liu; Huan Yang; Jiyun Fan; Ryan Wen Liu; Yuping Duan (Biomed. Signal Process. Control., 2019)

Directional Regularized Tensor Modeling for Video Rain Streaks Removal. - Zhaoyang Sun; Shengwu Xiong 001; Ryan Wen Liu (CoRR, 2019)

Undersampled CS image reconstruction using nonconvex nonsmooth mixed constraints. - Ryan Wen Liu; Wei Yin; Lin Shi 001; Jinming Duan 001; Simon Chun-Ho Yu; Defeng Wang (Multim. Tools Appl., 2019)

Head motion coefficient-based algorithm for distracted driving detection. - Kwok Tai Chui; Wadee Alhalabi; Ryan Wen Liu (Data Technol. Appl., 2019)

Multi-Scale Residual Network for Image Classification. - Xian Zhong; Oubo Gong; Wenxin Huang; Jingling Yuan; Bo Ma; Ryan Wen Liu (ICASSP, 2020)

Low-light Image Enhancement with Deep Blind Denoising. - Yu Guo 008; Yuxu Lu; Meifang Yang; Ryan Wen Liu (ICMLC, 2020)

DSPNet: Deep Learning-Enabled Blind Reduction of Speckle Noise. - Yuxu Lu; Meifang Yang; Ryan Wen Liu (ICPR, 2020)

Predicting Students' Performance With School and Family Tutoring Using Generative Adversarial Network-Based Deep Support Vector Machine. - Kwok Tai Chui; Ryan Wen Liu; Mingbo Zhao; Patricia Ordóñez de Pablos (IEEE Access, 2020)

Low-Light Image Enhancement With Regularized Illumination Optimization and Deep Noise Suppression. - Yu Guo 008; Yuxu Lu; Ryan Wen Liu; Meifang Yang; Kwok Tai Chui (IEEE Access, 2020)

Low-Light Maritime Image Enhancement with Regularized Illumination Optimization and Deep Noise Suppression. - Yu Guo 008; Yuxu Lu; Ryan Wen Liu; Meifang Yang; Kwok Tai Chui (CoRR, 2020)

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 Things J., 2020)

Adaptively constrained dynamic time warping for time series classification and clustering. - Huanhuan Li 001; Jingxian Liu; Zaili Yang; Ryan Wen Liu; Kefeng Wu; Yuan Wan (Inf. Sci., 2020)

A Generic Design of Driver Drowsiness and Stress Recognition Using MOGA Optimized Deep MKL-SVM. - Kwok Tai Chui; Miltiadis D. Lytras; Ryan Wen Liu (Sensors, 2020)

Moving Towards Intelligent Transportation via Artificial Intelligence and Internet-of-Things. - Miltiadis D. Lytras; Kwok Tai Chui; Ryan Wen Liu (Sensors, 2020)

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 Trans. Comput. Soc. Syst., 2020)

Rank-One Prior: Toward Real-Time Scene Recovery. - Jun Liu 012; Ryan Wen Liu; Jianing Sun; Tieyong Zeng (CVPR, 2021)

Logarithmic Retinex Decomposition-Aided Convolutional Neural Networks for Low-Light Image Enhancement. - Zhouheng Ge; Wenbo Yang; Ryan Wen Liu (ICDSP, 2021)

Deep Learning-Enabled Low-light Image Enhancement In Maritime Video Surveillance. - Wenbo Yang; Zhouheng Ge; Ryan Wen Liu (ICDSP, 2021)

Extraction of Hottest Shipping Routes: From Positioning Data to Intelligent Surveillance. - Ryan Wen Liu; Maohan Liang; Jiangtian Nie; Sahil Garg; Yang Zhang 025; Zehui Xiong (IRI, 2021)

Intelligent Data-Driven Vessel Trajectory Prediction in Marine Transportation Cyber-Physical System. - Ryan Wen Liu; Maohan Liang; Jiangtian Nie; Xianjun Deng; Zehui Xiong; Jiawen Kang 001; Helin Yang; Yang Zhang 025 (iThings/GreenCom/CPSCom/SmartData/Cybermatics, 2021)

Heterogeneous Twin Dehazing Network for Visibility Enhancement in Maritime Video Surveillance. - Yu Guo 008; Yuxu Lu; Ryan Wen Liu; Lizheng Wang; Fenghua Zhu (ITSC, 2021)

Towards Low-Visibility Enhancement in Maritime Video Surveillance: An Efficient and Effective Multi-Deep Neural Network. - Yuxu Lu; Yu Guo 008; Fenghua Zhu; Ryan Wen Liu (ITSC, 2021)

Semi-Automatic Data Labelling of Smart Meter Data for Electricity Theft Detection. - Kwok Tai Chui; Lap-Kei Lee; Ryan Wen Liu; Mingbo Zhao; Miltiadis D. Lytras (SysCom, 2021)

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 (CoRR, 2021)

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 025; M. Shamim Hossain (IEEE Internet Things J., 2021)

MVFFNet: Multi-view feature fusion network for imbalanced ship classification. - Maohan Liang; Yang Zhan 007; Ryan Wen Liu (Pattern Recognit. Lett., 2021)

Handling Data Heterogeneity in Electricity Load Disaggregation via Optimized Complete Ensemble Empirical Mode Decomposition and Wavelet Packet Transform. - Kwok Tai Chui; Brij B. Gupta; Ryan Wen Liu; Pandian Vasant (Sensors, 2021)

Extended-Range Prediction Model Using NSGA-III Optimized RNN-GRU-LSTM for Driver Stress and Drowsiness. - Kwok Tai Chui; Brij B. Gupta; Ryan Wen Liu; Xinyu Zhang 020; Pandian Vasant; J. Joshua Thomas (Sensors, 2021)

A Real-Time Collision Avoidance Framework of MASS Based on B-Spline and Optimal Decoupling Control. - Xinyu Zhang 020; Chengbo Wang 001; Kwok Tai Chui; Ryan Wen Liu (Sensors, 2021)

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 Trans. Ind. Informatics, 2021)

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 Trans. Intell. Transp. Syst., 2021)

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 025; Han Yu 001; Dusit Niyato (DASC/PiCom/CBDCom/CyberSciTech, 2022)

Rep-Enhancer: Re-parameterizing Neural Network for Real-time Low-light Enhancement in Visual Maritime Surveillance. - Xijing Li; Yuxu Lu; Yu Guo 008; Jingxiang Qu; Ryan Wen Liu (EUC, 2022)

Early Fall Prediction Using Hybrid Recurrent Neural Network and Long Short-Term Memory. - Kwok Tai Chui; Miltiadis D. Lytras; Ryan Wen Liu; Mingbo Zhao; Miguel Torres Ruiz (ICO, 2022)

AIS Data-Based Efficient Ship Trajectory Clustering. - Ruli Xu; Ryan Wen Liu; Jiangtian Nie; Xianjun Deng; Zehui Xiong; Wenchao Jiang; Han Yu 001; Dusit Niyato (ISPA/BDCloud/SocialCom/SustainCom, 2022)

Fast Deep Multi-patch Progressive Network for Low-light Image Enhancement in Intelligent Transportation Systems. - Yuxu Lu; Yu Guo 008; Yanhong Huang; Fenghua Zhu; Xianjun Hu; Ryan Wen Liu (ITSC, 2022)

Intelligent Maritime Surveillance Framework Driven by Fusion of Camera-Based Vessel Detection and AIS Data. - Jingxiang Qu; Yu Guo 008; Yuxu Lu; Fenghua Zhu; Yingchun Huan; Ryan Wen Liu (ITSC, 2022)

Spatially Adapted First and Second Order Regularization for Image Reconstruction: From an Image Surface Perspective. - Qiuxiang Zhong; Ryan Wen Liu; Yuping Duan (J. Sci. Comput., 2022)

MTRBNet: Multi-Branch Topology Residual Block-Based Network for Low-Light Enhancement. - Yuxu Lu; Yu Guo 008; Ryan Wen Liu; Wenqi Ren (IEEE Signal Process. Lett., 2022)

Intelligent Edge-Enabled Efficient Multi-Source Data Fusion for Autonomous Surface Vehicles in Maritime Internet of Things. - Ryan Wen Liu; Yu Guo 008; Jiangtian Nie; Qin Hu 001; Zehui Xiong; Han Yu 001; Mohsen Guizani (IEEE Trans. Green Commun. Netw., 2022)

STMGCN: Mobile Edge Computing-Empowered Vessel Trajectory Prediction Using Spatio-Temporal Multigraph Convolutional Network. - Ryan Wen Liu; Maohan Liang; Jiangtian Nie; Yanli Yuan; Zehui Xiong; Han Yu 001; Nadra Guizani (IEEE Trans. Ind. Informatics, 2022)

Privacy-Preserving Anomaly Detection in Cloud Manufacturing Via Federated Transformer. - Shiyao Ma; Jiangtian Nie; Jiawen Kang 001; Lingjuan Lyu; Ryan Wen Liu; Ruihui Zhao; Ziyao Liu; Dusit Niyato (IEEE Trans. Ind. Informatics, 2022)

Fine-Grained Vessel Traffic Flow Prediction With a Spatio-Temporal Multigraph Convolutional Network. - Maohan Liang; Ryan Wen Liu; Yang Zhan 007; Huanhuan Li 001; Fenghua Zhu; Fei-Yue Wang 001 (IEEE Trans. Intell. Transp. Syst., 2022)

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 Trans. Intell. Transp. Syst., 2022)

Deep Learning-Powered Vessel Trajectory Prediction for Improving Smart Traffic Services in Maritime Internet of Things. - Ryan Wen Liu; Maohan Liang; Jiangtian Nie; Wei Yang Bryan Lim; Yang Zhang 025; Mohsen Guizani (IEEE Trans. Netw. Sci. Eng., 2022)

NTIRE 2023 HR NonHomogeneous Dehazing Challenge Report. - Codruta O. Ancuti; Cosmin Ancuti; Florin-Alexandru Vasluianu; Radu Timofte; Han Zhou 003; Wei Dong 010; Yangyi Liu; Jun Chen 005; Huan Liu 014; Liangyan Li; Zijun Wu; Yubo Dong; et al. (CVPR Workshops, 2023)

SCANet: Self-Paced Semi-Curricular Attention Network for Non-Homogeneous Image Dehazing. - Yu Guo 008; Yuan Gao 015; Ryan Wen Liu; Yuxu Lu; Jingxiang Qu; Shengfeng He; Wenqi Ren (CVPR Workshops, 2023)

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 (ICONIP (2), 2023)

Vessel Behavior Anomaly Detection Using Graph Attention Network. - Yuanzhe Zhang; Qiqiang Jin; Maohan Liang; Ruixin Ma; Ryan Wen Liu (ICONIP (5), 2023)

Data-Driven Ship Stay Behavior Identification in Maritime Internet of Things System. - Shangkun Yin; Huigang Qian; Tao Huang; Xiaojie Huo; Ryan Wen Liu (iThings/GreenCom/CPSCom/SmartData/Cybermatics, 2023)

DADFNet: Dual Attention and Dual Frequency-Guided Dehazing Network for Video-Empowered Intelligent Transportation. - Yu Guo 008; Ryan Wen Liu; Jiangtian Nie; Lingjuan Lyu; Zehui Xiong; Jiawen Kang 001; Han Yu 001; Dusit Niyato (CoRR, 2023)

Orientation-aware ship detection via a rotation feature decoupling supported deep learning approach. - Xinqiang Chen; Hao Wu; Bing Han; Wei Liu; Jakub Montewka; Ryan Wen Liu (Eng. Appl. Artif. Intell., 2023)

Online-Learning-Based Fast-Convergent and Energy-Efficient Device Selection in Federated Edge Learning. - Cheng Peng; Qin Hu 001; Zhilin Wang; Ryan Wen Liu; Zehui Xiong (IEEE Internet Things J., 2023)

Deep Network-Enabled Haze Visibility Enhancement for Visual IoT-Driven Intelligent Transportation Systems. - Ryan Wen Liu; Yu Guo 008; Yuxu Lu; Kwok Tai Chui; Brij B. Gupta (IEEE Trans. Ind. Informatics, 2023)

GradDT: Gradient-Guided Despeckling Transformer for Industrial Imaging Sensors. - Yuxu Lu; Yu Guo 008; Ryan Wen Liu; Kwok Tai Chui; Brij B. Gupta (IEEE Trans. Ind. Informatics, 2023)

MDSFE: Multiscale Deep Stacking Fusion Enhancer Network for Visual Data Enhancement. - Yu Guo 008; Yuxu Lu; Jingxiang Qu; Ryan Wen Liu; Wenqi Ren (IEEE Trans. Instrum. Meas., 2023)

Rank-One Prior: Real-Time Scene Recovery. - Jun Liu 012; Ryan Wen Liu; Jianing Sun; Tieyong Zeng (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Visual Exposes You: Pedestrian Trajectory Prediction Meets Visual Intention. - Xian Zhong; Xu Yan; Zhengwei Yang; Wenxin Huang; Kui Jiang; Ryan Wen Liu; Zheng Wang 007 (IEEE Trans. Intell. Transp. Syst., 2023)

Asynchronous Trajectory Matching-Based Multimodal Maritime Data Fusion for Vessel Traffic Surveillance in Inland Waterways. - Yu Guo 008; Ryan Wen Liu; Jingxiang Qu; Yuxu Lu; Fenghua Zhu; Yisheng Lv (IEEE Trans. Intell. Transp. Syst., 2023)

Haze Visibility Enhancement for Promoting Traffic Situational Awareness in Vision-Enabled Intelligent Transportation. - Yu Guo 008; Ryan Wen Liu; Yuxu Lu; Jiangtian Nie; Lingjuan Lyu; Zehui Xiong; Jiawen Kang 001; Han Yu 001; Dusit Niyato (IEEE Trans. Veh. Technol., 2023)

OneRestore: A Universal Restoration Framework for Composite Degradation. - Yu Guo 008; Yuan Gao 015; Yuxu Lu; Huilin Zhu; Ryan Wen Liu; Shengfeng He (ECCV (19), 2024)

Attention-oriented residual block for real-time low-light image enhancement in smart ports. - Lu Li; Wenyu Xu; Yuan Gao 015; Yuxu Lu; Dong Yang 003; Ryan Wen Liu; Ran Zhang (Comput. Electr. Eng., 2024)

S3Net: Semi-self-supervised neural network for visibility enhancement of speckled images. - Ryan Wen Liu; Yu Guo 008; Yuxu Lu; Xi-Le Zhao; An-An Liu (Comput. Electr. Eng., 2024)

A Survey of Distance-Based Vessel Trajectory Clustering: Data Pre-processing, Methodologies, Applications, and Experimental Evaluation. - Maohan Liang; Ryan Wen Liu; Ruobin Gao; Zhe Xiao; Xiaocai Zhang; Hua Wang (CoRR, 2024)

Spatio-temporal multi-graph transformer network for joint prediction of multiple vessel trajectories. - Ryan Wen Liu; Weixin Zheng; Maohan Liang (Eng. Appl. Artif. Intell., 2024)

Deep learning-based object detection in maritime unmanned aerial vehicle imagery: Review and experimental comparisons. - Chenjie Zhao; Ryan Wen Liu; Jingxiang Qu; Ruobin Gao (Eng. Appl. Artif. Intell., 2024)

Bio-inspired algorithms for cybersecurity - a review of the state-of-the-art and challenges. - Kwok Tai Chui; Ryan Wen Liu; Mingbo Zhao; Xinyu Zhang 020 (Int. J. Bio Inspired Comput., 2024)

AoSRNet: All-in-One Scene Recovery Networks via multi-knowledge integration. - Yuxu Lu; Dong Yang 003; Yuan Gao 015; Ryan Wen Liu; Jun Liu 012; Yu Guo 008 (Knowl. Based Syst., 2024)

Blind Image Despeckling Using a Multiscale Attention-Guided Neural Network. - Yu Guo 008; Yuxu Lu; Ryan Wen Liu; Fenghua Zhu (IEEE Trans. Artif. Intell., 2024)

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 008; Wenqi Ren; Fenghua Zhu; Yisheng Lv (IEEE Trans. Intell. Veh., 2024)

PiracyAnalyzer: Spatial temporal patterns analysis of global piracy incidents. - Maohan Liang; Huanhuan Li 001; Ryan Wen Liu; Jasmine Siu Lee Lam; Zaili Yang (Reliab. Eng. Syst. Saf., 2024)

Exploiting blockchain for dependable services in zero-trust vehicular networks. - Min Hao 001; Beihai Tan; Siming Wang; Rong Yu 001; Ryan Wen Liu; Lisu Yu (Frontiers Comput. Sci., 2024)

Multi-Task Learning-Enabled Automatic Vessel Draft Reading for Intelligent Maritime Surveillance. - Jingxiang Qu; Ryan Wen Liu; Chenjie Zhao; Yu Guo 008; Sendren Sheng-Dong Xu; Fenghua Zhu; Yisheng Lv (IEEE Trans. Intell. Transp. Syst., 2024)

Double Domain Guided Real-Time Low-Light Image Enhancement for Ultra-High-Definition Transportation Surveillance. - Jingxiang Qu; Ryan Wen Liu; Yuan Gao 015; Yu Guo 008; Fenghua Zhu; Fei-Yue Wang 001 (IEEE Trans. Intell. Transp. Syst., 2024)

Social Attention Network Fused Multipatch Temporal-Variable-Dependency-Based Trajectory Prediction for Internet of Vehicles. - Zirui Zhang; Min Hao 001; Xumin Huang; Chen Shang; Rong Yu 001; Zehui Xiong; Ryan Wen Liu (IEEE Internet Things J., 2024)

Convolutional Low-Rank Tensor Representation for Structural Missing Traffic Data Imputation. - Ben-Zheng Li; Xi-Le Zhao; Xinyu Chen 002; Meng Ding 002; Ryan Wen Liu (IEEE Trans. Intell. Transp. Syst., 2024)

WaterScenes: A Multi-Task 4D Radar-Camera Fusion Dataset and Benchmarks for Autonomous Driving on Water Surfaces. - Shanliang Yao; Runwei Guan; Zhaodong Wu; Yi Ni; Zile Huang; Ryan Wen Liu; Yong Yue 001; Weiping Ding 001; Eng Gee Lim; Hyungjoon Seo; Ka Lok Man; Jieming Ma; et al. (IEEE Trans. Intell. Transp. Syst., 2024)

Real-Time Multi-Scene Visibility Enhancement for Promoting Navigational Safety of Vessels Under Complex Weather Conditions. - Ryan Wen Liu; Yuxu Lu; Yuan Gao 015; Yu Guo 008; Wenqi Ren; Fenghua Zhu; Fei-Yue Wang 001 (IEEE Trans. Intell. Transp. Syst., 2024)

Co-prediction of multiple transportation demands in Ro-Ro terminal based on dates fine-grained temporal fusion transformer. - Yukuan Wang; Ryan Wen Liu; Jingxian Liu; Lichao Yang; Yang Liu 393; Ping He (Comput. Ind. Eng., 2025)

Towards a physical imaging-driven sparse attention dehazer for Internet of Things-aided Maritime Intelligent Transportation. - Yuxuan Tian; Yu Guo 008; Yuxu Lu; Yuan Gao 015; Ryan Wen Liu (Comput. Electr. Eng., 2025)

Deep-learning-empowered visual ship detection and tracking: Literature review and future direction. - Boxing Zhang; Jingxian Liu; Ryan Wen Liu; Yanhong Huang (Eng. Appl. Artif. Intell., 2025)

Graph neural networks enabled accident causation prediction for maritime vessel traffic. - Langxiong Gan; Ziyi Gao; Xiyu Zhang; Yi Xu; Ryan Wen Liu; Cheng Xie; Yaqing Shu (Reliab. Eng. Syst. Saf., 2025)

DSTG: Distillation Swin Transformer for Cross-View Geolocalization. - Junxiong Liang; Mengwei Bao; Haitao Dong; Liang Xie 001; Ryan Wen Liu; Nengcheng Chen (IEEE Trans. Geosci. Remote. Sens., 2025)

MMPFormer: A Memory-Aware Multiscale Predictive Transformer for Precipitation Nowcasting. - Dan Song 006; Dehan Wang; Wenhui Li 001; Lanjun Wang; Ryan Wen Liu; Zhiqiang Wei 002; An-An Liu (IEEE Trans. Geosci. Remote. Sens., 2025)

FLCSDet: Federated Learning-Driven Cross-Spatial Vessel Detection for Maritime Surveillance With Privacy Preservation. - Yanhong Huang; Ryan Wen Liu; Yijing Lin; Jiawen Kang 001; Fenghua Zhu; Fei-Yue Wang 001 (IEEE Trans. Intell. Transp. Syst., 2025)

USRNet: Unified Scene Recovery Network for Enhancing Traffic Imaging under Multiple Adverse Weather Conditions. - Yuxu Lu; Ai Chen; Dong Yang 003; Ryan Wen Liu (CoRR, 2025)

Graph Learning-Driven Multi-Vessel Association: Fusing Multimodal Data for Maritime Intelligence. - Yuxu Lu; Kaisen Yang; Dong Yang 003; Haifeng Ding; Jinxian Weng; Ryan Wen Liu (CoRR, 2025)

Bi-LSTM based Multi-Agent DRL with Computation-aware Pruning for Agent Twins Migration in Vehicular Embodied AI Networks. - Yuxiang Wei; Zhuoqi Zeng; Yue Zhong; Jiawen Kang 001; Ryan Wen Liu; M. Shamim Hossain (CoRR, 2025)

Multi-Sensor Fusion-Driven Surface Vessel Identification and Tracking Using Unmanned Aerial Vehicles for Maritime Surveillance. - Chenjie Zhao; Mengwei Bao; Jinhao Liang; Maohan Liang; Ryan Wen Liu; Guangyao Pang (IEEE Trans. Consumer Electron., 2025)

USVTrack: USV-Based 4D Radar-Camera Tracking Dataset for Autonomous Driving in Inland Waterways. - Shanliang Yao; Runwei Guan; Yi Ni; Sen Xu; Yong Yue 001; Xiaohui Zhu; Ryan Wen Liu (CoRR, 2025)

Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding. - Runwei Guan; Ningwei Ouyang; Tianhao Xu; Shaofeng Liang; Wei Dai; Yafeng Sun; Shang Gao; Songning Lai; Shanliang Yao; Xuming Hu; Ryan Wen Liu; Yutao Yue; et al. (CoRR, 2025)