Ryan Wen Liu

146 papers A* 1A 1B 4C 3Misc 6Journal 106Unranked 25
YearRankTypeTitle / Venue / Authors
2026 J jnl
4D-CAAL: 4D Radar-Camera Calibration and Auto-Labeling for Autonomous Driving.
CoRR
Shanliang Yao, Zhuoxiao Li, Runwei Guan, Kebin Cao, Meng Xia, Fuping Hu, Sen Xu, Yong Yue, Xiaohui Zhu, Weiping Ding, Ryan Wen Liu
2026 J jnl
Achelous + + : Power-oriented multi-task panoptic waterway perception framework based on vision-radar fusion.
Appl. Soft Comput.
Runwei Guan, Haocheng Zhao, Shanliang Yao, Limin Yu, Xiaohui Zhu, Ryan Wen Liu, Eng Gee Lim, Weiping Ding, Yutao Yue, Hui Xiong
2026 J jnl
TCP: Text-Guided Cascade Network for Pedestrian Crossing Intention Prediction.
IEEE Trans. Intell. Transp. Syst.
Yuhao Xiao, Wenxuan Liu, Wenxin Huang, Jie Ma, Ryan Wen Liu, Xian Zhong
2026 J jnl
USRNet: Unified scene recovery network for image restoration under multiple adverse weather conditions.
Pattern Recognit.
Yuxu Lu, Ai Chen, Dong Yang, Ryan Wen Liu
2026 J jnl
WaterVideoQA: ASV-Centric Perception and Rule-Compliant Reasoning via Multi-Modal Agents.
CoRR
Runwei Guan, Shaofeng Liang, Ningwei Ouyang, Weichen Fei, Shanliang Yao, Wei Dai, Chenhao Ge, Penglei Sun, Xiaohui Zhu, Tao Huang, Ryan Wen Liu, Hui Xiong
2025 J jnl
Bi-LSTM based Multi-Agent DRL with Computation-aware Pruning for Agent Twins Migration in Vehicular Embodied AI Networks.
CoRR
Yuxiang Wei, Zhuoqi Zeng, Yue Zhong, Jiawen Kang, Ryan Wen Liu, M. Shamim Hossain
2025 J jnl
Co-prediction of multiple transportation demands in Ro-Ro terminal based on dates fine-grained temporal fusion transformer.
Comput. Ind. Eng.
Yukuan Wang, Ryan Wen Liu, Jingxian Liu, Lichao Yang, Yang Liu, Ping He
2025 J jnl
DSTG: Distillation Swin Transformer for Cross-View Geolocalization.
IEEE Trans. Geosci. Remote. Sens.
Junxiong Liang, Mengwei Bao, Haitao Dong, Liang Xie, Ryan Wen Liu, Nengcheng Chen
2025 J jnl
Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding.
CoRR
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, Hui Xiong
2025 J jnl
Deep-learning-empowered visual ship detection and tracking: Literature review and future direction.
Eng. Appl. Artif. Intell.
Boxing Zhang, Jingxian Liu, Ryan Wen Liu, Yanhong Huang
2025 J jnl
FLCSDet: Federated Learning-Driven Cross-Spatial Vessel Detection for Maritime Surveillance With Privacy Preservation.
IEEE Trans. Intell. Transp. Syst.
Yanhong Huang, Ryan Wen Liu, Yijing Lin, Jiawen Kang, Fenghua Zhu, Fei-Yue Wang
2025 J jnl
Fusing Learning and Non-Learning: Hybrid CNN-Transformer Cooperative-Competitive Network for Underwater Image Enhancement.
IEEE Trans. Broadcast.
Xun Ji, Xu Wang, Li-Ying Hao, Chengtao Cai, Chengsong Dai, Ryan Wen Liu
2025 J jnl
Graph Learning-Driven Multi-Vessel Association: Fusing Multimodal Data for Maritime Intelligence.
CoRR
Yuxu Lu, Kaisen Yang, Dong Yang, Haifeng Ding, Jinxian Weng, Ryan Wen Liu
2025 J jnl
Graph neural networks enabled accident causation prediction for maritime vessel traffic.
Reliab. Eng. Syst. Saf.
Langxiong Gan, Ziyi Gao, Xiyu Zhang, Yi Xu, Ryan Wen Liu, Cheng Xie, Yaqing Shu
2025 J jnl
Innovating Waterway Route Planning as a Service for Marine Traffic Applications.
IEEE Trans. Intell. Veh.
Zhe Xiao, Xiaocai Zhang, Xiuju Fu, Liye Zhang, Haiyan Xu, Ryan Wen Liu, Chee Seng Chong, Zheng Qin
2025 J jnl
MMPFormer: A Memory-Aware Multiscale Predictive Transformer for Precipitation Nowcasting.
IEEE Trans. Geosci. Remote. Sens.
Dan Song, Dehan Wang, Wenhui Li, Lanjun Wang, Ryan Wen Liu, Zhiqiang Wei, An-An Liu
2025 J jnl
Multi-Sensor Data Fusion Meets Edge Computing for Intelligent Surface Vehicles.
IEEE Internet Things Mag.
Boxing Zhang, Ryan Wen Liu, Jingxian Liu, Kwok Tai Chui, Brij B. Gupta
2025 J jnl
Multi-Sensor Fusion-Driven Surface Vessel Identification and Tracking Using Unmanned Aerial Vehicles for Maritime Surveillance.
IEEE Trans. Consumer Electron.
Chenjie Zhao, Mengwei Bao, Jinhao Liang, Maohan Liang, Ryan Wen Liu, Guangyao Pang
2025 J jnl
Towards a physical imaging-driven sparse attention dehazer for Internet of Things-aided Maritime Intelligent Transportation.
Comput. Electr. Eng.
Yuxuan Tian, Yu Guo, Yuxu Lu, Yuan Gao, Ryan Wen Liu
2025 J jnl
USRNet: Unified Scene Recovery Network for Enhancing Traffic Imaging under Multiple Adverse Weather Conditions.
CoRR
Yuxu Lu, Ai Chen, Dong Yang, Ryan Wen Liu
2025 A conf
USVTrack: USV-Based 4D Radar-Camera Tracking Dataset for Autonomous Driving in Inland Waterways.
IROS
Shanliang Yao, Runwei Guan, Yi Ni, Sen Xu, Yong Yue, Xiaohui Zhu, Ryan Wen Liu
2025 J jnl
USVTrack: USV-Based 4D Radar-Camera Tracking Dataset for Autonomous Driving in Inland Waterways.
CoRR
Shanliang Yao, Runwei Guan, Yi Ni, Sen Xu, Yong Yue, Xiaohui Zhu, Ryan Wen Liu
2025 J jnl
World model-based reinforcement learning for autonomous ship safe collision avoidance.
Eng. Appl. Artif. Intell.
Kangjie Zheng, Xinyu Zhang, Ryan Wen Liu, Jialin Ma, Jinlong Cui
2024 J jnl
A Survey of Distance-Based Vessel Trajectory Clustering: Data Pre-processing, Methodologies, Applications, and Experimental Evaluation.
CoRR
Maohan Liang, Ryan Wen Liu, Ruobin Gao, Zhe Xiao, Xiaocai Zhang, Hua Wang
2024 J jnl
AiOENet: All-in-One Low-Visibility Enhancement to Improve Visual Perception for Intelligent Marine Vehicles Under Severe Weather Conditions.
IEEE Trans. Intell. Veh.
Ryan Wen Liu, Yuxu Lu, Yu Guo, Wenqi Ren, Fenghua Zhu, Yisheng Lv
2024 J jnl
AoSRNet: All-in-One Scene Recovery Networks via Multi-knowledge Integration.
CoRR
Yuxu Lu, Dong Yang, Yuan Gao, Ryan Wen Liu, Jun Liu, Yu Guo
2024 J jnl
AoSRNet: All-in-One Scene Recovery Networks via multi-knowledge integration.
Knowl. Based Syst.
Yuxu Lu, Dong Yang, Yuan Gao, Ryan Wen Liu, Jun Liu, Yu Guo
2024 J jnl
Attention-oriented residual block for real-time low-light image enhancement in smart ports.
Comput. Electr. Eng.
Lu Li, Wenyu Xu, Yuan Gao, Yuxu Lu, Dong Yang, Ryan Wen Liu, Ran Zhang
2024 J jnl
Bio-inspired algorithms for cybersecurity - a review of the state-of-the-art and challenges.
Int. J. Bio Inspired Comput.
Kwok Tai Chui, Ryan Wen Liu, Mingbo Zhao, Xinyu Zhang
2024 J jnl
Blind Image Despeckling Using a Multiscale Attention-Guided Neural Network.
IEEE Trans. Artif. Intell.
Yu Guo, Yuxu Lu, Ryan Wen Liu, Fenghua Zhu
2024 J jnl
Convolutional Low-Rank Tensor Representation for Structural Missing Traffic Data Imputation.
IEEE Trans. Intell. Transp. Syst.
Ben-Zheng Li, Xi-Le Zhao, Xinyu Chen, Meng Ding, Ryan Wen 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
Exploiting blockchain for dependable services in zero-trust vehicular networks.
Frontiers Comput. Sci.
Min Hao, Beihai Tan, Siming Wang, Rong Yu, Ryan Wen Liu, Lisu Yu
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
2024 — conf
OneRestore: A Universal Restoration Framework for Composite Degradation.
ECCV (19)
Yu Guo, Yuan Gao, Yuxu Lu, Huilin Zhu, Ryan Wen Liu, Shengfeng He
2024 J jnl
OneRestore: A Universal Restoration Framework for Composite Degradation.
CoRR
Yu Guo, Yuan Gao, Yuxu Lu, Huilin Zhu, Ryan Wen Liu, Shengfeng He
2024 J jnl
PiracyAnalyzer: Spatial temporal patterns analysis of global piracy incidents.
Reliab. Eng. Syst. Saf.
Maohan Liang, Huanhuan Li, Ryan Wen Liu, Jasmine Siu Lee Lam, Zaili Yang
2024 J jnl
Real-Time Multi-Scene Visibility Enhancement for Promoting Navigational Safety of Vessels Under Complex Weather Conditions.
CoRR
Ryan Wen Liu, Yuxu Lu, Yuan Gao, Yu Guo, Wenqi Ren, Fenghua Zhu, Fei-Yue Wang
2024 J jnl
Real-Time Multi-Scene Visibility Enhancement for Promoting Navigational Safety of Vessels Under Complex Weather Conditions.
IEEE Trans. Intell. Transp. Syst.
Ryan Wen Liu, Yuxu Lu, Yuan Gao, Yu Guo, Wenqi Ren, Fenghua Zhu, Fei-Yue Wang
2024 J jnl
S3Net: Semi-self-supervised neural network for visibility enhancement of speckled images.
Comput. Electr. Eng.
Ryan Wen Liu, Yu Guo, Yuxu Lu, Xi-Le Zhao, An-An Liu
2024 J jnl
Social Attention Network Fused Multipatch Temporal-Variable-Dependency-Based Trajectory Prediction for Internet of Vehicles.
IEEE Internet Things J.
Zirui Zhang, Min Hao, Xumin Huang, Chen Shang, Rong Yu, Zehui Xiong, Ryan Wen Liu
2024 J jnl
Spatio-temporal multi-graph transformer network for joint prediction of multiple vessel trajectories.
Eng. Appl. Artif. Intell.
Ryan Wen Liu, Weixin Zheng, Maohan Liang
2024 J jnl
WaterScenes: A Multi-Task 4D Radar-Camera Fusion Dataset and Benchmarks for Autonomous Driving on Water Surfaces.
IEEE Trans. Intell. Transp. Syst.
Shanliang Yao, Runwei Guan, Zhaodong Wu, Yi Ni, Zile Huang, Ryan Wen Liu, Yong Yue, Weiping Ding, Eng Gee Lim, Hyungjoon Seo, Ka Lok Man, Jieming Ma, Xiaohui Zhu, Yutao Yue
2023 — conf
A Deep Graph Matching-Based Method for Trajectory Association in Vessel Traffic Surveillance.
ICONIP (2)
Yuchen Lu, Xiangkai Zhang, Xu Yang, Pin Lv, Liguo Sun, Ryan Wen Liu, 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
DADFNet: Dual Attention and Dual Frequency-Guided Dehazing Network for Video-Empowered Intelligent Transportation.
CoRR
Yu Guo, Ryan Wen Liu, Jiangtian Nie, Lingjuan Lyu, Zehui Xiong, Jiawen Kang, Han Yu, Dusit Niyato
2023 — conf
Data-Driven Ship Stay Behavior Identification in Maritime Internet of Things System.
iThings/GreenCom/CPSCom/SmartData/Cybermatics
Shangkun Yin, Huigang Qian, Tao Huang, Xiaojie Huo, Ryan Wen Liu
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
Deep Network-Enabled Haze Visibility Enhancement for Visual IoT-Driven Intelligent Transportation Systems.
IEEE Trans. Ind. Informatics
Ryan Wen Liu, Yu Guo, Yuxu Lu, Kwok Tai Chui, Brij B. Gupta
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
GradDT: Gradient-Guided Despeckling Transformer for Industrial Imaging Sensors.
IEEE Trans. Ind. Informatics
Yuxu Lu, Yu Guo, Ryan Wen Liu, Kwok Tai Chui, Brij B. Gupta
2023 J jnl
Haze Visibility Enhancement for Promoting Traffic Situational Awareness in Vision-Enabled Intelligent Transportation.
IEEE Trans. Veh. Technol.
Yu Guo, Ryan Wen Liu, Yuxu Lu, Jiangtian Nie, Lingjuan Lyu, Zehui Xiong, Jiawen Kang, Han Yu, Dusit Niyato
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 J jnl
Online-Learning-Based Fast-Convergent and Energy-Efficient Device Selection in Federated Edge Learning.
IEEE Internet Things J.
Cheng Peng, Qin Hu, Zhilin Wang, Ryan Wen Liu, Zehui Xiong
2023 J jnl
Orientation-aware ship detection via a rotation feature decoupling supported deep learning approach.
Eng. Appl. Artif. Intell.
Xinqiang Chen, Hao Wu, Bing Han, Wei Liu, Jakub Montewka, Ryan Wen Liu
2023 J jnl
Rank-One Prior: Real-Time Scene Recovery.
IEEE Trans. Pattern Anal. Mach. Intell.
Jun Liu, Ryan Wen Liu, Jianing Sun, Tieyong Zeng
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
2023 — conf
Vessel Behavior Anomaly Detection Using Graph Attention Network.
ICONIP (5)
Yuanzhe Zhang, Qiqiang Jin, Maohan Liang, Ruixin Ma, Ryan Wen Liu
2023 J jnl
Visual Exposes You: Pedestrian Trajectory Prediction Meets Visual Intention.
IEEE Trans. Intell. Transp. Syst.
Xian Zhong, Xu Yan, Zhengwei Yang, Wenxin Huang, Kui Jiang, Ryan Wen Liu, Zheng Wang
2022 — conf
AIS Data-Based Efficient Ship Trajectory Clustering.
ISPA/BDCloud/SocialCom/SustainCom
Ruli Xu, Ryan Wen Liu, Jiangtian Nie, Xianjun Deng, Zehui Xiong, Wenchao Jiang, Han Yu, Dusit Niyato
2022 J jnl
Big Data Driven Vessel Trajectory and Navigating State Prediction With Adaptive Learning, Motion Modeling and Particle Filtering Techniques.
IEEE Trans. Intell. Transp. Syst.
Zhe Xiao, Xiuju Fu, Liye Zhang, Wanbing Zhang, Ryan Wen Liu, Zhao Liu, Rick Siow Mong Goh
2022 J jnl
Deep Learning-Powered Vessel Trajectory Prediction for Improving Smart Traffic Services in Maritime Internet of Things.
IEEE Trans. Netw. Sci. Eng.
Ryan Wen Liu, Maohan Liang, Jiangtian Nie, Wei Yang Bryan Lim, Yang Zhang, Mohsen Guizani
2022 — conf
Early Fall Prediction Using Hybrid Recurrent Neural Network and Long Short-Term Memory.
ICO
Kwok Tai Chui, Miltiadis D. Lytras, Ryan Wen Liu, Mingbo Zhao, Miguel Torres Ruiz
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
Fast Deep Multi-patch Progressive Network for Low-light Image Enhancement in Intelligent Transportation Systems.
ITSC
Yuxu Lu, Yu Guo, Yanhong Huang, Fenghua Zhu, Xianjun Hu, Ryan Wen Liu
2022 J jnl
Fine-Grained Vessel Traffic Flow Prediction With a Spatio-Temporal Multigraph Convolutional Network.
IEEE Trans. Intell. Transp. Syst.
Maohan Liang, Ryan Wen Liu, Yang Zhan, Huanhuan Li, Fenghua Zhu, Fei-Yue Wang
2022 J jnl
Intelligent Edge-Enabled Efficient Multi-Source Data Fusion for Autonomous Surface Vehicles in Maritime Internet of Things.
IEEE Trans. Green Commun. Netw.
Ryan Wen Liu, Yu Guo, Jiangtian Nie, Qin Hu, Zehui Xiong, Han Yu, Mohsen Guizani
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 J jnl
MTRBNet: Multi-Branch Topology Residual Block-Based Network for Low-Light Enhancement.
IEEE Signal Process. Lett.
Yuxu Lu, Yu Guo, Ryan Wen Liu, Wenqi Ren
2022 J jnl
Privacy-Preserving Anomaly Detection in Cloud Manufacturing Via Federated Transformer.
IEEE Trans. Ind. Informatics
Shiyao Ma, Jiangtian Nie, Jiawen Kang, Lingjuan Lyu, Ryan Wen Liu, Ruihui Zhao, Ziyao Liu, Dusit Niyato
2022 J jnl
Privacy-preserving Anomaly Detection in Cloud Manufacturing via Federated Transformer.
CoRR
Shiyao Ma, Jiangtian Nie, Jiawen Kang, Lingjuan Lyu, Ryan Wen Liu, Ruihui Zhao, Ziyao Liu, Dusit Niyato
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
2022 J jnl
STMGCN: Mobile Edge Computing-Empowered Vessel Trajectory Prediction Using Spatio-Temporal Multigraph Convolutional Network.
IEEE Trans. Ind. Informatics
Ryan Wen Liu, Maohan Liang, Jiangtian Nie, Yanli Yuan, Zehui Xiong, Han Yu, Nadra Guizani
2022 J jnl
Spatially Adapted First and Second Order Regularization for Image Reconstruction: From an Image Surface Perspective.
J. Sci. Comput.
Qiuxiang Zhong, Ryan Wen Liu, Yuping Duan
2021 J jnl
A Highly Efficient Vehicle Taillight Detection Approach Based on Deep Learning.
IEEE Trans. Intell. Transp. Syst.
Qiaohong Li, Sahil Garg, Jiangtian Nie, Xiang Li, Ryan Wen Liu, Zhiguang Cao, M. Shamim Hossain
2021 J jnl
A Real-Time Collision Avoidance Framework of MASS Based on B-Spline and Optimal Decoupling Control.
Sensors
Xinyu Zhang, Chengbo Wang, Kwok Tai Chui, Ryan Wen Liu
2021 J jnl
An Unsupervised Learning Method with Convolutional Auto-Encoder for Vessel Trajectory Similarity Computation.
CoRR
Maohan Liang, Ryan Wen Liu, Shichen Li, Zhe Xiao, Xin Liu, Feng Lu
2021 J jnl
Data-Driven Trajectory Quality Improvement for Promoting Intelligent Vessel Traffic Services in 6G-Enabled Maritime IoT Systems.
IEEE Internet Things J.
Ryan Wen Liu, Jiangtian Nie, Sahil Garg, Zehui Xiong, Yang Zhang, M. Shamim Hossain
2021 — conf
Deep Learning-Enabled Low-light Image Enhancement In Maritime Video Surveillance.
ICDSP
Wenbo Yang, Zhouheng Ge, Ryan Wen Liu
2021 J jnl
Extended-Range Prediction Model Using NSGA-III Optimized RNN-GRU-LSTM for Driver Stress and Drowsiness.
Sensors
Kwok Tai Chui, Brij B. Gupta, Ryan Wen Liu, Xinyu Zhang, Pandian Vasant, J. Joshua Thomas
2021 Misc conf
Extraction of Hottest Shipping Routes: From Positioning Data to Intelligent Surveillance.
IRI
Ryan Wen Liu, Maohan Liang, Jiangtian Nie, Sahil Garg, Yang Zhang, Zehui Xiong
2021 J jnl
Handling Data Heterogeneity in Electricity Load Disaggregation via Optimized Complete Ensemble Empirical Mode Decomposition and Wavelet Packet Transform.
Sensors
Kwok Tai Chui, Brij B. Gupta, Ryan Wen Liu, Pandian Vasant
2021 — conf
Heterogeneous Twin Dehazing Network for Visibility Enhancement in Maritime Video Surveillance.
ITSC
Yu Guo, Yuxu Lu, Ryan Wen Liu, Lizheng Wang, Fenghua Zhu
2021 — conf
Intelligent Data-Driven Vessel Trajectory Prediction in Marine Transportation Cyber-Physical System.
iThings/GreenCom/CPSCom/SmartData/Cybermatics
Ryan Wen Liu, Maohan Liang, Jiangtian Nie, Xianjun Deng, Zehui Xiong, Jiawen Kang, Helin Yang, Yang Zhang
2021 — conf
Logarithmic Retinex Decomposition-Aided Convolutional Neural Networks for Low-Light Image Enhancement.
ICDSP
Zhouheng Ge, Wenbo Yang, Ryan Wen Liu
2021 J jnl
MVFFNet: Multi-view feature fusion network for imbalanced ship classification.
Pattern Recognit. Lett.
Maohan Liang, Yang Zhan, Ryan Wen Liu
2021 J jnl
QR-3S: A High Payload QR Code Secret Sharing System for Industrial Internet of Things in 6G Networks.
IEEE Trans. Ind. Informatics
Lizhi Xiong, Xinwei Zhong, Neal N. Xiong, Ryan Wen Liu
2021 A* conf
Rank-One Prior: Toward Real-Time Scene Recovery.
CVPR
Jun Liu, Ryan Wen Liu, Jianing Sun, Tieyong Zeng
2021 J jnl
Rank-One Prior: Toward Real-Time Scene Recovery.
CoRR
Jun Liu, Ryan Wen Liu, Jianing Sun, Tieyong Zeng
2021 — conf
Semi-Automatic Data Labelling of Smart Meter Data for Electricity Theft Detection.
SysCom
Kwok Tai Chui, Lap-Kei Lee, Ryan Wen Liu, Mingbo Zhao, Miltiadis D. Lytras
2021 — conf
Towards Low-Visibility Enhancement in Maritime Video Surveillance: An Efficient and Effective Multi-Deep Neural Network.
ITSC
Yuxu Lu, Yu Guo, Fenghua Zhu, Ryan Wen Liu
2020 J jnl
A Generic Design of Driver Drowsiness and Stress Recognition Using MOGA Optimized Deep MKL-SVM.
Sensors
Kwok Tai Chui, Miltiadis D. Lytras, Ryan Wen Liu
2020 J jnl
Adaptively constrained dynamic time warping for time series classification and clustering.
Inf. Sci.
Huanhuan Li, Jingxian Liu, Zaili Yang, Ryan Wen Liu, Kefeng Wu, Yuan Wan
2020 J jnl
Blockchain and IoT for Insurance: A Case Study and Cyberinfrastructure Solution on Fine-Grained Transportation Insurance.
IEEE Trans. Comput. Soc. Syst.
Zhe Xiao, Zengxiang Li, Yechao Yang, Piao Chen, Ryan Wen Liu, Wei Jing, Yauheni Pyrloh, Ekanut Sotthiwat, Rick Siow Mong Goh
2020 B conf
DSPNet: Deep Learning-Enabled Blind Reduction of Speckle Noise.
ICPR
Yuxu Lu, Meifang Yang, Ryan Wen Liu
2020 J jnl
GPU-Accelerated Compression and Visualization of Large-Scale Vessel Trajectories in Maritime IoT Industries.
CoRR
Yu Huang, Yan Li, Zhaofeng Zhang, Ryan Wen Liu
2020 J jnl
GPU-Accelerated Compression and Visualization of Large-Scale Vessel Trajectories in Maritime IoT Industries.
IEEE Internet Things J.
Yu Huang, Yan Li, Zhaofeng Zhang, Ryan Wen Liu
2020 J jnl
Low-Light Image Enhancement With Regularized Illumination Optimization and Deep Noise Suppression.
IEEE Access
Yu Guo, Yuxu Lu, Ryan Wen Liu, Meifang Yang, Kwok Tai Chui
2020 J jnl
Low-Light Maritime Image Enhancement with Regularized Illumination Optimization and Deep Noise Suppression.
CoRR
Yu Guo, Yuxu Lu, Ryan Wen Liu, Meifang Yang, Kwok Tai Chui
2020 Misc conf
Low-light Image Enhancement with Deep Blind Denoising.
ICMLC
Yu Guo, Yuxu Lu, Meifang Yang, Ryan Wen Liu
2020 J jnl
Moving Towards Intelligent Transportation via Artificial Intelligence and Internet-of-Things.
Sensors
Miltiadis D. Lytras, Kwok Tai Chui, Ryan Wen Liu
2020 Misc conf
Multi-Scale Residual Network for Image Classification.
ICASSP
Xian Zhong, Oubo Gong, Wenxin Huang, Jingling Yuan, Bo Ma, Ryan Wen Liu
2020 J jnl
Predicting Students' Performance With School and Family Tutoring Using Generative Adversarial Network-Based Deep Support Vector Machine.
IEEE Access
Kwok Tai Chui, Ryan Wen Liu, Mingbo Zhao, Patricia Ordóñez de Pablos
2019 J jnl
A Cloud-Based Real Time Polluted Gas Spread Simulation Approach on Virtual Reality Networking.
IEEE Access
Zhengwei He, Lan You, Ryan Wen Liu, Fan Yang, Jie Ma, Naixue Xiong
2019 J jnl
Adaptive Douglas-Peucker Algorithm With Automatic Thresholding for AIS-Based Vessel Trajectory Compression.
IEEE Access
Jingxian Liu, Huanhuan Li, Zaili Yang, Kefeng Wu, Yi Liu, Ryan Wen Liu
2019 J jnl
Big data and IoT solution for patient behaviour monitoring.
Behav. Inf. Technol.
Kwok Tai Chui, Ryan Wen Liu, Miltiadis D. Lytras, Mingbo Zhao
2019 — conf
Coarse-to-Fine Luminance Estimation for Low-Light Image Enhancement in Maritime Video Surveillance.
ITSC
Meifang Yang, Xin Nie, Ryan Wen Liu
2019 — conf
Deep Neural Network-Based Robust Ship Detection Under Different Weather Conditions.
ITSC
Xin Nie, Meifang Yang, Ryan Wen Liu
2019 J jnl
Directional Regularized Tensor Modeling for Video Rain Streaks Removal.
CoRR
Zhaoyang Sun, Shengwu Xiong, Ryan Wen Liu
2019 J jnl
Head motion coefficient-based algorithm for distracted driving detection.
Data Technol. Appl.
Kwok Tai Chui, Wadee Alhalabi, Ryan Wen Liu
2019 Misc conf
Learning a Deep Convolutional Network for Speckle Noise Reduction in Underwater Sonar Images.
ICMLC
Yuxu Lu, Ryan Wen Liu, Fenge Chen, Liang Xie
2019 J jnl
Rician noise and intensity nonuniformity correction (NNC) model for MRI data.
Biomed. Signal Process. Control.
Lu Liu, Huan Yang, Jiyun Fan, Ryan Wen Liu, Yuping Duan
2019 J jnl
Similarity Grouping-Guided Neural Network Modeling for Maritime Time Series Prediction.
IEEE Access
Yan Li, Ryan Wen Liu, Zhao Liu, Jingxian Liu
2019 J jnl
Similarity Grouping-Guided Neural Network Modeling for Maritime Time Series Prediction.
CoRR
Yan Li, Ryan Wen Liu, Zhao Liu, Jingxian Liu
2019 J jnl
Spatially Adapted First and Second Order Regularization for Image Reconstruction: From an Image Surface Perspective.
CoRR
Qiuxiang Zhong, Ryan Wen Liu, Yuping Duan
2019 J jnl
Undersampled CS image reconstruction using nonconvex nonsmooth mixed constraints.
Multim. Tools Appl.
Ryan Wen Liu, Wei Yin, Lin Shi, Jinming Duan, Simon Chun-Ho Yu, Defeng Wang
2019 B conf
Variational Regularized Transmission Refinement for Image Dehazing.
ICIP
Qiaoling Shu, Chuansheng Wu, Zhe Xiao, Ryan Wen Liu
2019 J jnl
Variational Regularized Transmission Refinement for Image Dehazing.
CoRR
Qiaoling Shu, Chuansheng Wu, Zhe Xiao, Ryan Wen Liu
2018 Misc conf
A Second-Order Variational Framework for Joint Depth Map Estimation and Image Dehazing.
ICASSP
Ryan Wen Liu, Shengwu Xiong, Huisi Wu
2018 — conf
EMD-Based Recurrent Neural Network with Adaptive Regrouping for Port Cargo Throughput Prediction.
ICONIP (1)
Yan Li, Ryan Wen Liu, Quandang Ma, Jingxian Liu
2018 Misc conf
Lo-Regularized Hybrid Gradient Sparsity Priors for Robust Single-Image Blind Deblurring.
ICASSP
Ryan Wen Liu, Wei Yin, Shengwu Xiang, Silang Peng
2018 — conf
OCT Segmentation: Integrating Open Parametric Contour Model of the Retinal Layers and Shape Constraint to the Mumford-Shah Functional.
ShapeMI@MICCAI
Jinming Duan, Weicheng Xie, Ryan Wen Liu, Christopher R. Tench, Irene Gottlob, Frank Proudlock, Li Bai
2018 J jnl
OCT segmentation: Integrating open parametric contour model of the retinal layers and shape constraint to the Mumford-Shah functional.
CoRR
Jinming Duan, Weicheng Xie, Ryan Wen Liu, Christopher R. Tench, Irene Gottlob, Frank Proudlock, Li Bai
2018 J jnl
Spatially adaptive total generalized variation-regularized image deblurring with impulse noise.
J. Electronic Imaging
Qiuxiang Zhong, Chuansheng Wu, Qiaoling Shu, Ryan Wen Liu
2018 J jnl
Spatio-Temporal Vessel Trajectory Clustering Based on Data Mapping and Density.
IEEE Access
Huanhuan Li, Jingxian Liu, Kefeng Wu, Zaili Yang, Ryan Wen Liu, Naixue Xiong
2018 — conf
Two-Phase Transmission Map Estimation for Robust Image Dehazing.
ICONIP (6)
Qiaoling Shu, Chuansheng Wu, Ryan Wen Liu, Kwok Tai Chui, Shengwu Xiong
2018 J jnl
Variational Regularized Tree-Structured Wavelet Sparsity for CS-SENSE Parallel Imaging.
IEEE Access
Ryan Wen Liu, Quandang Ma, Simon C. H. Yu, Kwok Tai Chui, Naixue Xiong
2018 J jnl
Variational total curvature model for multiplicative noise removal.
IET Comput. Vis.
Xinli Xu, Teng Yu, Xinmei Xu, Guojia Hou, Ryan Wen Liu, Huizhu Pan
2017 J jnl
A Dimensionality Reduction-Based Multi-Step Clustering Method for Robust Vessel Trajectory Analysis.
Sensors
Huanhuan Li, Jingxian Liu, Ryan Wen Liu, Naixue Xiong, Kefeng Wu, Tai-Hoon Kim
2017 J jnl
Effective Alternating Direction Optimization Methods for Sparsity-Constrained Blind Image Deblurring.
Sensors
Naixue Xiong, Ryan Wen Liu, Maohan Liang, Di Wu, Zhao Liu, Huisi Wu
2017 C conf
Hybrid regularization for compressed sensing MRI: Exploiting shearlet transform and group-sparsity total variation.
FUSION
Ryan Wen Liu, Lin Shi, Simon C. H. Yu, Defeng Wang
2017 J jnl
Reconstruction of Undersampled Big Dynamic MRI Data Using Non-Convex Low-Rank and Sparsity Constraints.
Sensors
Ryan Wen Liu, Lin Shi, Simon Chun-Ho Yu, Naixue Xiong, Defeng Wang
2017 C conf
Single-image blind deblurring with hybrid sparsity regularization.
FUSION
Ryan Wen Liu, Yan Li, Yi Liu, Jinming Duan, Tian Xu, Jingxian Liu
2017 — conf
Vessel traffic flow separation-prediction using low-rank and sparse decomposition.
ITSC
Ryan Wen Liu, Jinwei Chen, Zhao Liu, Yan Li, Yi Liu, Jingxian Liu
2016 — conf
Robust two-step image restoration with adaptive regularization parameter.
ICIIP
Ryan Wen Liu, Weihuang Wu, Maohan Liang, Tian Xu, Jingxian Liu
2016 — conf
Trajectory compression-guided visualization of spatio-temporal AIS vessel density.
WCSP
Yan Li, Ryan Wen Liu, Jingxian Liu, Yu Huang, Bin Hu, Kai Wang
2015 J jnl
Box-constrained second-order total generalized variation minimization with a combined L1, 2 data-fidelity term for image reconstruction.
J. Electronic Imaging
Ryan Wen Liu, Lin Shi, Simon C. H. Yu, Defeng Wang
2015 B conf
Constrained Nonconvex Hybrid Variational Model for Edge-Preserving Image Restoration.
SMC
Ryan Wen Liu, Di Wu, Chuan-Sheng Wu, Tian Xu, Naixue Xiong
2015 B conf
Hybrid Regularized Blur Kernel Estimation for Single-Image Blind Deconvolution.
SMC
Ryan Wen Liu, Di Wu, Chuan-Sheng Wu, Naixue Xiong
2013 J jnl
A Robust Alternating Direction Method for Constrained Hybrid Variational Deblurring Model.
CoRR
Ryan Wen Liu, Tian Xu
2013 J jnl
A predictor-corrector iterated Tikhonov regularization for linear ill-posed inverse problems.
Appl. Math. Comput.
Ryan Wen Liu, Chuansheng Wu