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2020 – today
- 2023
[j42]Cheng Peng, Qin Hu, Zhilin Wang, Ryan Wen Liu, Zehui Xiong:
Online-Learning-Based Fast-Convergent and Energy-Efficient Device Selection in Federated Edge Learning. IEEE Internet Things J. 10(6, March 15): 5571-5582 (2023)- [j41]Ryan Wen Liu
, Yu Guo, Yuxu Lu, Kwok Tai Chui, Brij B. Gupta:
Deep Network-Enabled Haze Visibility Enhancement for Visual IoT-Driven Intelligent Transportation Systems. IEEE Trans. Ind. Informatics 19(2): 1581-1591 (2023) - [j40]Yuxu Lu, Yu Guo, Ryan Wen Liu, Kwok Tai Chui, Brij B. Gupta:
GradDT: Gradient-Guided Despeckling Transformer for Industrial Imaging Sensors. IEEE Trans. Ind. Informatics 19(2): 2238-2248 (2023) - [j39]Yu Guo, Yuxu Lu, Jingxiang Qu, Ryan Wen Liu, Wenqi Ren:
MDSFE: Multiscale Deep Stacking Fusion Enhancer Network for Visual Data Enhancement. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - [i13]Yu Guo, Ryan Wen Liu, Jingxiang Qu, Yuxu Lu, Fenghua Zhu, Yisheng Lv:
Asynchronous Trajectory Matching-Based Multimodal Maritime Data Fusion for Vessel Traffic Surveillance in Inland Waterways. CoRR abs/2302.11283 (2023) - 2022
- [j38]Qiuxiang Zhong, Ryan Wen Liu, Yuping Duan:
Spatially Adapted First and Second Order Regularization for Image Reconstruction: From an Image Surface Perspective. J. Sci. Comput. 92(2): 33 (2022) - [j37]Yuxu Lu, Yu Guo, Ryan Wen Liu, Wenqi Ren:
MTRBNet: Multi-Branch Topology Residual Block-Based Network for Low-Light Enhancement. IEEE Signal Process. Lett. 29: 1127-1131 (2022) - [j36]Ryan Wen Liu, Yu Guo, Jiangtian Nie, Qin Hu, Zehui Xiong, Han Yu, Mohsen Guizani:
Intelligent Edge-Enabled Efficient Multi-Source Data Fusion for Autonomous Surface Vehicles in Maritime Internet of Things. IEEE Trans. Green Commun. Netw. 6(3): 1574-1587 (2022) - [j35]Ryan Wen Liu, Maohan Liang, Jiangtian Nie, Yanli Yuan, Zehui Xiong, Han Yu, Nadra Guizani:
STMGCN: Mobile Edge Computing-Empowered Vessel Trajectory Prediction Using Spatio-Temporal Multigraph Convolutional Network. IEEE Trans. Ind. Informatics 18(11): 7977-7987 (2022) - [j34]Shiyao Ma, Jiangtian Nie, Jiawen Kang, Lingjuan Lyu, Ryan Wen Liu, Ruihui Zhao, Ziyao Liu, Dusit Niyato:
Privacy-Preserving Anomaly Detection in Cloud Manufacturing Via Federated Transformer. IEEE Trans. Ind. Informatics 18(12): 8977-8987 (2022) - [j33]Zhe Xiao, Xiuju Fu, Liye Zhang, Wanbing Zhang, Ryan Wen Liu, Zhao Liu, Rick Siow Mong Goh:
Big Data Driven Vessel Trajectory and Navigating State Prediction With Adaptive Learning, Motion Modeling and Particle Filtering Techniques. IEEE Trans. Intell. Transp. Syst. 23(4): 3696-3709 (2022) - [j32]Maohan Liang, Ryan Wen Liu, Yang Zhan, Huanhuan Li, Fenghua Zhu, Fei-Yue Wang:
Fine-Grained Vessel Traffic Flow Prediction With a Spatio-Temporal Multigraph Convolutional Network. IEEE Trans. Intell. Transp. Syst. 23(12): 23694-23707 (2022) - [j31]Ryan Wen Liu, Maohan Liang, Jiangtian Nie, Wei Yang Bryan Lim, Yang Zhang, Mohsen Guizani:
Deep Learning-Powered Vessel Trajectory Prediction for Improving Smart Traffic Services in Maritime Internet of Things. IEEE Trans. Netw. Sci. Eng. 9(5): 3080-3094 (2022) - [c30]Jingxiang Qu, Ryan Wen Liu, Jiangtian Nie, Xianjun Deng, Zehui Xiong, Yang Zhang, Han Yu, Dusit Niyato:
Edge Computing-Enabled Multi-Sensor Data Fusion for Intelligent Surveillance in Maritime Transportation Systems. DASC/PiCom/CBDCom/CyberSciTech 2022: 1-8 - [c29]Kwok Tai Chui, Miltiadis D. Lytras, Ryan Wen Liu, Mingbo Zhao, Miguel Torres Ruiz:
Early Fall Prediction Using Hybrid Recurrent Neural Network and Long Short-Term Memory. ICO 2022: 34-41 - [c28]Jingxiang Qu, Yu Guo, Yuxu Lu, Fenghua Zhu, Yingchun Huan, Ryan Wen Liu:
Intelligent Maritime Surveillance Framework Driven by Fusion of Camera-Based Vessel Detection and AIS Data. ITSC 2022: 2280-2285 - [c27]Yuxu Lu, Yu Guo, Yanhong Huang, Fenghua Zhu, Xianjun Hu, Ryan Wen Liu:
Fast Deep Multi-patch Progressive Network for Low-light Image Enhancement in Intelligent Transportation Systems. ITSC 2022: 2675-2680 - [i12]Shiyao Ma, Jiangtian Nie, Jiawen Kang, Lingjuan Lyu, Ryan Wen Liu, Ruihui Zhao, Ziyao Liu, Dusit Niyato:
Privacy-preserving Anomaly Detection in Cloud Manufacturing via Federated Transformer. CoRR abs/2204.00843 (2022) - 2021
- [j30]Ryan Wen Liu, Jiangtian Nie, Sahil Garg, Zehui Xiong, Yang Zhang, M. Shamim Hossain:
Data-Driven Trajectory Quality Improvement for Promoting Intelligent Vessel Traffic Services in 6G-Enabled Maritime IoT Systems. IEEE Internet Things J. 8(7): 5374-5385 (2021) - [j29]Maohan Liang, Yang Zhan, Ryan Wen Liu:
MVFFNet: Multi-view feature fusion network for imbalanced ship classification. Pattern Recognit. Lett. 151: 26-32 (2021) - [j28]Kwok Tai Chui, Brij B. Gupta, Ryan Wen Liu, Pandian Vasant:
Handling Data Heterogeneity in Electricity Load Disaggregation via Optimized Complete Ensemble Empirical Mode Decomposition and Wavelet Packet Transform. Sensors 21(9): 3133 (2021) - [j27]Xinyu Zhang, Chengbo Wang, Kwok Tai Chui, Ryan Wen Liu:
A Real-Time Collision Avoidance Framework of MASS Based on B-Spline and Optimal Decoupling Control. Sensors 21(14): 4911 (2021) - [j26]Kwok Tai Chui, Brij B. Gupta, Ryan Wen Liu, Xinyu Zhang, Pandian Vasant, J. Joshua Thomas:
Extended-Range Prediction Model Using NSGA-III Optimized RNN-GRU-LSTM for Driver Stress and Drowsiness. Sensors 21(19): 6412 (2021) - [j25]Lizhi Xiong, Xinwei Zhong, Neal N. Xiong, Ryan Wen Liu:
QR-3S: A High Payload QR Code Secret Sharing System for Industrial Internet of Things in 6G Networks. IEEE Trans. Ind. Informatics 17(10): 7213-7222 (2021) - [j24]Qiaohong Li, Sahil Garg, Jiangtian Nie, Xiang Li, Ryan Wen Liu, Zhiguang Cao, M. Shamim Hossain:
A Highly Efficient Vehicle Taillight Detection Approach Based on Deep Learning. IEEE Trans. Intell. Transp. Syst. 22(7): 4716-4726 (2021) - [c26]Jun Liu, Ryan Wen Liu, Jianing Sun, Tieyong Zeng:
Rank-One Prior: Toward Real-Time Scene Recovery. CVPR 2021: 14802-14810 - [c25]Zhouheng Ge, Wenbo Yang, Ryan Wen Liu:
Logarithmic Retinex Decomposition-Aided Convolutional Neural Networks for Low-Light Image Enhancement. ICDSP 2021: 20-26 - [c24]Wenbo Yang, Zhouheng Ge, Ryan Wen Liu:
Deep Learning-Enabled Low-light Image Enhancement In Maritime Video Surveillance. ICDSP 2021: 40-45 - [c23]Ryan Wen Liu, Maohan Liang, Jiangtian Nie, Sahil Garg, Yang Zhang, Zehui Xiong:
Extraction of Hottest Shipping Routes: From Positioning Data to Intelligent Surveillance. IRI 2021: 255-262 - [c22]Ryan Wen Liu, Maohan Liang, Jiangtian Nie, Xianjun Deng, Zehui Xiong, Jiawen Kang, Helin Yang, Yang Zhang:
Intelligent Data-Driven Vessel Trajectory Prediction in Marine Transportation Cyber-Physical System. iThings/GreenCom/CPSCom/SmartData/Cybermatics 2021: 314-321 - [c21]Yuxu Lu, Yu Guo, Fenghua Zhu, Ryan Wen Liu:
Towards Low-Visibility Enhancement in Maritime Video Surveillance: An Efficient and Effective Multi-Deep Neural Network. ITSC 2021: 2869-2874 - [c20]Yu Guo, Yuxu Lu, Ryan Wen Liu, Lizheng Wang, Fenghua Zhu:
Heterogeneous Twin Dehazing Network for Visibility Enhancement in Maritime Video Surveillance. ITSC 2021: 2875-2880 - [i11]Maohan Liang, Ryan Wen Liu, Shichen Li, Zhe Xiao, Xin Liu, Feng Lu:
An Unsupervised Learning Method with Convolutional Auto-Encoder for Vessel Trajectory Similarity Computation. CoRR abs/2101.03169 (2021) - [i10]Jun Liu, Ryan Wen Liu, Jianing Sun, Tieyong Zeng:
Rank-One Prior: Toward Real-Time Scene Recovery. CoRR abs/2103.17126 (2021) - 2020
- [j23]Kwok Tai Chui, Ryan Wen Liu, Mingbo Zhao, Patricia Ordóñez de Pablos:
Predicting Students' Performance With School and Family Tutoring Using Generative Adversarial Network-Based Deep Support Vector Machine. IEEE Access 8: 86745-86752 (2020) - [j22]Yu Guo, Yuxu Lu, Ryan Wen Liu, Meifang Yang, Kwok Tai Chui:
Low-Light Image Enhancement With Regularized Illumination Optimization and Deep Noise Suppression. IEEE Access 8: 145297-145315 (2020) - [j21]Yu Huang, Yan Li, Zhaofeng Zhang, Ryan Wen Liu:
GPU-Accelerated Compression and Visualization of Large-Scale Vessel Trajectories in Maritime IoT Industries. IEEE Internet Things J. 7(11): 10794-10812 (2020) - [j20]Huanhuan Li, Jingxian Liu, Zaili Yang, Ryan Wen Liu, Kefeng Wu, Yuan Wan:
Adaptively constrained dynamic time warping for time series classification and clustering. Inf. Sci. 534: 97-116 (2020) - [j19]Kwok Tai Chui, Miltiadis D. Lytras, Ryan Wen Liu:
A Generic Design of Driver Drowsiness and Stress Recognition Using MOGA Optimized Deep MKL-SVM. Sensors 20(5): 1474 (2020) - [j18]Miltiadis D. Lytras, Kwok Tai Chui, Ryan Wen Liu:
Moving Towards Intelligent Transportation via Artificial Intelligence and Internet-of-Things. Sensors 20(23): 6945 (2020) - [j17]Zhe Xiao, Zengxiang Li, Yechao Yang, Piao Chen, Ryan Wen Liu, Wei Jing, Yauheni Pyrloh, Ekanut Sotthiwat, Rick Siow Mong Goh:
Blockchain and IoT for Insurance: A Case Study and Cyberinfrastructure Solution on Fine-Grained Transportation Insurance. IEEE Trans. Comput. Soc. Syst. 7(6): 1409-1422 (2020) - [c19]Xian Zhong, Oubo Gong, Wenxin Huang, Jingling Yuan, Bo Ma, Ryan Wen Liu:
Multi-Scale Residual Network for Image Classification. ICASSP 2020: 2023-2027 - [c18]Yu Guo, Yuxu Lu, Meifang Yang, Ryan Wen Liu:
Low-light Image Enhancement with Deep Blind Denoising. ICMLC 2020: 406-411 - [c17]Yuxu Lu, Meifang Yang, Ryan Wen Liu:
DSPNet: Deep Learning-Enabled Blind Reduction of Speckle Noise. ICPR 2020: 3475-3482 - [i9]Zhaoyang Sun, Wenxuan Liu, Feng Liu, Ryan Wen Liu, Shengwu Xiong:
Local Facial Makeup Transfer via Disentangled Representation. CoRR abs/2003.12065 (2020) - [i8]Yu Huang, Yan Li, Zhaofeng Zhang, Ryan Wen Liu:
GPU-Accelerated Compression and Visualization of Large-Scale Vessel Trajectories in Maritime IoT Industries. CoRR abs/2004.13653 (2020) - [i7]Yu Guo, Yuxu Lu, Ryan Wen Liu, Meifang Yang, Kwok Tai Chui:
Low-Light Maritime Image Enhancement with Regularized Illumination Optimization and Deep Noise Suppression. CoRR abs/2008.03765 (2020)
2010 – 2019
- 2019
- [j16]Zhengwei He, Lan You, Ryan Wen Liu, Fan Yang, Jie Ma, Naixue Xiong:
A Cloud-Based Real Time Polluted Gas Spread Simulation Approach on Virtual Reality Networking. IEEE Access 7: 22532-22540 (2019) - [j15]Yan Li, Ryan Wen Liu, Zhao Liu, Jingxian Liu:
Similarity Grouping-Guided Neural Network Modeling for Maritime Time Series Prediction. IEEE Access 7: 72647-72659 (2019) - [j14]Jingxian Liu, Huanhuan Li, Zaili Yang, Kefeng Wu, Yi Liu, Ryan Wen Liu:
Adaptive Douglas-Peucker Algorithm With Automatic Thresholding for AIS-Based Vessel Trajectory Compression. IEEE Access 7: 150677-150692 (2019) - [j13]Kwok Tai Chui, Ryan Wen Liu, Miltiadis D. Lytras, Mingbo Zhao:
Big data and IoT solution for patient behaviour monitoring. Behav. Inf. Technol. 38(9): 940-949 (2019) - [j12]Lu Liu, Huan Yang, Jiyun Fan, Ryan Wen Liu, Yuping Duan:
Rician noise and intensity nonuniformity correction (NNC) model for MRI data. Biomed. Signal Process. Control. 49: 506-519 (2019) - [j11]Ryan Wen Liu, Wei Yin, Lin Shi, Jinming Duan, Simon Chun-Ho Yu, Defeng Wang:
Undersampled CS image reconstruction using nonconvex nonsmooth mixed constraints. Multim. Tools Appl. 78(10): 12749-12782 (2019) - [j10]Kwok Tai Chui, Wadee Alhalabi, Ryan Wen Liu:
Head motion coefficient-based algorithm for distracted driving detection. Data Technol. Appl. 53(2): 171-188 (2019) - [c16]Qiaoling Shu, Chuansheng Wu, Zhe Xiao, Ryan Wen Liu:
Variational Regularized Transmission Refinement for Image Dehazing. ICIP 2019: 2781-2785 - [c15]Yuxu Lu, Ryan Wen Liu, Fenge Chen, Liang Xie:
Learning a Deep Convolutional Network for Speckle Noise Reduction in Underwater Sonar Images. ICMLC 2019: 445-450 - [c14]Xin Nie, Meifang Yang, Ryan Wen Liu:
Deep Neural Network-Based Robust Ship Detection Under Different Weather Conditions. ITSC 2019: 47-52 - [c13]Meifang Yang, Xin Nie, Ryan Wen Liu:
Coarse-to-Fine Luminance Estimation for Low-Light Image Enhancement in Maritime Video Surveillance. ITSC 2019: 299-304 - [i6]Qiaoling Shu, Chuansheng Wu, Zhe Xiao, Ryan Wen Liu:
Variational Regularized Transmission Refinement for Image Dehazing. CoRR abs/1902.07069 (2019) - [i5]Zhaoyang Sun, Shengwu Xiong, Ryan Wen Liu:
Directional Regularized Tensor Modeling for Video Rain Streaks Removal. CoRR abs/1902.07090 (2019) - [i4]Yan Li, Ryan Wen Liu, Zhao Liu, Jingxian Liu:
Similarity Grouping-Guided Neural Network Modeling for Maritime Time Series Prediction. CoRR abs/1905.04872 (2019) - [i3]Qiuxiang Zhong, Ryan Wen Liu, Yuping Duan:
Spatially Adapted First and Second Order Regularization for Image Reconstruction: From an Image Surface Perspective. CoRR abs/1912.00628 (2019) - 2018
- [j9]Huanhuan Li, Jingxian Liu, Kefeng Wu, Zaili Yang, Ryan Wen Liu, Naixue Xiong:
Spatio-Temporal Vessel Trajectory Clustering Based on Data Mapping and Density. IEEE Access 6: 58939-58954 (2018) - [j8]Ryan Wen Liu, Quandang Ma, Simon C. H. Yu, Kwok Tai Chui, Naixue Xiong:
Variational Regularized Tree-Structured Wavelet Sparsity for CS-SENSE Parallel Imaging. IEEE Access 6: 61050-61064 (2018) - [j7]Xinli Xu, Teng Yu, Xinmei Xu, Guojia Hou, Ryan Wen Liu, Huizhu Pan:
Variational total curvature model for multiplicative noise removal. IET Comput. Vis. 12(4): 542-552 (2018) - [j6]Qiuxiang Zhong, Chuansheng Wu, Qiaoling Shu, Ryan Wen Liu:
Spatially adaptive total generalized variation-regularized image deblurring with impulse noise. J. Electronic Imaging 27(05): 053006 (2018) - [c12]Ryan Wen Liu, Wei Yin, Shengwu Xiang, Silang Peng:
Lo-Regularized Hybrid Gradient Sparsity Priors for Robust Single-Image Blind Deblurring. ICASSP 2018: 1348-1352 - [c11]Ryan Wen Liu, Shengwu Xiong, Huisi Wu:
A Second-Order Variational Framework for Joint Depth Map Estimation and Image Dehazing. ICASSP 2018: 1433-1437 - [c10]Yan Li, Ryan Wen Liu, Quandang Ma, Jingxian Liu:
EMD-Based Recurrent Neural Network with Adaptive Regrouping for Port Cargo Throughput Prediction. ICONIP (1) 2018: 499-510 - [c9]Qiaoling Shu, Chuansheng Wu, Ryan Wen Liu, Kwok Tai Chui, Shengwu Xiong:
Two-Phase Transmission Map Estimation for Robust Image Dehazing. ICONIP (6) 2018: 529-541 - [c8]Jinming Duan, Weicheng Xie, Ryan Wen Liu, Christopher R. Tench, Irene Gottlob, Frank Proudlock, Li Bai:
OCT Segmentation: Integrating Open Parametric Contour Model of the Retinal Layers and Shape Constraint to the Mumford-Shah Functional. ShapeMI@MICCAI 2018: 178-188 - [i2]Jinming Duan, Weicheng Xie, Ryan Wen Liu, Christopher R. Tench, Irene Gottlob, Frank Proudlock, Li Bai:
OCT segmentation: Integrating open parametric contour model of the retinal layers and shape constraint to the Mumford-Shah functional. CoRR abs/1808.02917 (2018) - 2017
- [j5]Naixue Xiong, Ryan Wen Liu, Maohan Liang, Di Wu, Zhao Liu, Huisi Wu:
Effective Alternating Direction Optimization Methods for Sparsity-Constrained Blind Image Deblurring. Sensors 17(1): 174 (2017) - [j4]Ryan Wen Liu, Lin Shi, Simon Chun-Ho Yu, Naixue Xiong, Defeng Wang:
Reconstruction of Undersampled Big Dynamic MRI Data Using Non-Convex Low-Rank and Sparsity Constraints. Sensors 17(3): 509 (2017) - [j3]Huanhuan Li, Jingxian Liu, Ryan Wen Liu, Naixue Xiong, Kefeng Wu, Tai-Hoon Kim:
A Dimensionality Reduction-Based Multi-Step Clustering Method for Robust Vessel Trajectory Analysis. Sensors 17(8): 1792 (2017) - [c7]Ryan Wen Liu, Yan Li, Yi Liu, Jinming Duan, Tian Xu, Jingxian Liu:
Single-image blind deblurring with hybrid sparsity regularization. FUSION 2017: 1-8 - [c6]Ryan Wen Liu, Lin Shi, Simon C. H. Yu, Defeng Wang:
Hybrid regularization for compressed sensing MRI: Exploiting shearlet transform and group-sparsity total variation. FUSION 2017: 1-8 - [c5]Ryan Wen Liu, Jinwei Chen, Zhao Liu, Yan Li, Yi Liu, Jingxian Liu:
Vessel traffic flow separation-prediction using low-rank and sparse decomposition. ITSC 2017: 1-6 - 2016
- [c4]Ryan Wen Liu, Weihuang Wu, Maohan Liang, Tian Xu, Jingxian Liu:
Robust two-step image restoration with adaptive regularization parameter. ICIIP 2016: 47 - [c3]Yan Li, Ryan Wen Liu, Jingxian Liu, Yu Huang, Bin Hu, Kai Wang:
Trajectory compression-guided visualization of spatio-temporal AIS vessel density. WCSP 2016: 1-5 - 2015
- [j2]Ryan Wen Liu, Lin Shi, Simon C. H. Yu, Defeng Wang:
Box-constrained second-order total generalized variation minimization with a combined L1, 2 data-fidelity term for image reconstruction. J. Electronic Imaging 24(3): 033026 (2015) - [c2]Ryan Wen Liu, Di Wu, Chuan-Sheng Wu, Tian Xu, Naixue Xiong:
Constrained Nonconvex Hybrid Variational Model for Edge-Preserving Image Restoration. SMC 2015: 1809-1814 - [c1]Ryan Wen Liu, Di Wu, Chuan-Sheng Wu, Naixue Xiong:
Hybrid Regularized Blur Kernel Estimation for Single-Image Blind Deconvolution. SMC 2015: 1815-1820 - 2013
- [j1]Ryan Wen Liu, Chuansheng Wu:
A predictor-corrector iterated Tikhonov regularization for linear ill-posed inverse problems. Appl. Math. Comput. 221: 802-818 (2013) - [i1]Ryan Wen Liu, Tian Xu:
A Robust Alternating Direction Method for Constrained Hybrid Variational Deblurring Model. CoRR abs/1309.0123 (2013)
Coauthor Index
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