研究成果

每年研究成果 2009 2020 2022 2023 2024 2024

• 75 Article
• 73 Conference contribution
• 2 Paper
• 1 Comment/debate
• 1 更多
  • 1 Review article

每年研究成果

每年研究成果

搜尋結果

• 2024

  A Blockchain-Enabled Distributed System for Trustworthy and Collaborative Intelligent Vehicle Re-Identification

  Wang, S., Yang, D., Sheng, H., Shen, J., Zhang, Y. & Ke, W., 1 2月 2024, 於: IEEE Transactions on Intelligent Vehicles. 9, 2, p. 3271-3282 12 p.

  研究成果: Article › 同行評審

  • Blockchain 100%
  • Reidentification 100%
  • Distributed Systems 100%
  • Edge Computing 22%
  • Computing Environment 11%
  1 引文 斯高帕斯（Scopus）

• An accurate slicing method for dynamic time warping algorithm and the segment-level early abandoning optimization

  Luo, Y., Ke, W., Lam, C. T. & Im, S. K., 27 9月 2024, 於: Knowledge-Based Systems. 300, 112231.

  研究成果: Article › 同行評審

  • Multiple Domain 100%
  • Quadratic Time Complexity 100%
  • Widespread Adoption 100%

• Arrhythmia classification based on multi-feature multi-path parallel deep convolutional neural networks and improved focal loss

  Ran, Z., Jiang, M., Li, Y., Wang, Z., Wu, Y., Ke, W. & Xia, L., 2024, 於: Mathematical Biosciences and Engineering. 21, 4, p. 5521-5535 15 p.

  研究成果: Article › 同行評審

  • Average Accuracy 100%
  • Multipath 100%
  • Deep Convolutional Neural Networks 100%
  • classification result 100%
  • Convolutional Neural Network 100%

• A simple transformer-based baseline for crowd tracking with Sequential Feature Aggregation and Hybrid Group Training

  Wang, C., Wu, Z., Ke, W. & Xiong, Z., 4月 2024, 於: Journal of Visual Communication and Image Representation. 100, 104144.

  研究成果: Article › 同行評審

  • Representation Learning 100%
  • Attention (Machine Learning) 100%
  • Tracking Method 100%
  • Model Complexity 100%
  • Tracking Process 100%
  1 引文 斯高帕斯（Scopus）

• Camouflaged Object Detection Based on Deep Learning with Attention-Guided Edge Detection and Multi-Scale Context Fusion

  Wen, Y., Ke, W. & Sheng, H., 3月 2024, 於: Applied Sciences (Switzerland). 14, 6, 2494.

  研究成果: Article › 同行評審

  開啟存取

  • Edge Information 100%
  • Deep Level 50%
  • Edge Extraction 50%
  • Feature Recognition 50%
  • Strength Loss 25%

• Discriminative Feature Learning with Co-Occurrence Attention Network for Vehicle ReID

  Sheng, H., Wang, S., Chen, H., Yang, D., Huang, Y., Shen, J. & Ke, W., 1 5月 2024, 於: IEEE Transactions on Circuits and Systems for Video Technology. 34, 5, p. 3510-3522 13 p.

  研究成果: Article › 同行評審

  • Representation Learning 100%
  • Reidentification 100%
  • Attention (Machine Learning) 100%
  • Discriminative Feature 100%
  • Global Feature 50%
  12 引文 斯高帕斯（Scopus）

• Distributed Collaborative Object Retrieval with Blockchain-Based Edge Computing

  Wang, S., Sheng, H., Yang, D., Yang, D., Shen, J., Zhang, Y. & Ke, W., 1 6月 2024, 於: IEEE Transactions on Industrial Informatics. 20, 6, p. 8729-8738 10 p.

  研究成果: Article › 同行評審

  • Blockchain 100%
  • Reidentification 100%
  • Edge Computing 100%
  • Domain Adaptation 100%
  • Traditional Method 50%

• Dynamic Downsampling Algorithm for 3D Point Cloud Map Based on Voxel Filtering

  Lyu, W., Ke, W., Sheng, H., Ma, X. & Zhang, H., 4月 2024, 於: Applied Sciences (Switzerland). 14, 8, 3160.

  研究成果: Article › 同行評審

  開啟存取
  2 引文 斯高帕斯（Scopus）

• Experimental Study of Bluetooth Indoor Positioning Using RSS and Deep Learning Algorithms

  Wu, C., Wong, I. C., Wang, Y., Ke, W. & Yang, X., 5月 2024, 於: Mathematics. 12, 9, 1386.

  研究成果: Article › 同行評審

  開啟存取

  • Mechanical Strength 100%
  • Dynamic Field 50%
  • Commercial Product 50%
  • Energy Technology 50%
  • Indoor Positioning Systems 50%

• Joint attribute soft-sharing and contextual local: a multi-level features learning network for person re-identification

  Wang, W., Chen, Y., Wang, D., Tie, Z., Tao, L. & Ke, W., 4月 2024, 於: Visual Computer. 40, 4, p. 2251-2264 14 p.

  研究成果: Article › 同行評審

  • Representation Learning 100%
  • Person Re-Identification 100%
  • Learning Network 100%
  • Discriminative Feature 33%
  • local feature 33%
  2 引文 斯高帕斯（Scopus）

• KDTM: Multi-Stage Knowledge Distillation Transfer Model for Long-Tailed DGA Detection

  Fan, B., Ma, H., Liu, Y., Yuan, X. & Ke, W., 3月 2024, 於: Mathematics. 12, 5, 626.

  研究成果: Article › 同行評審

  開啟存取

  • Multistage 100%
  • Detection Algorithm 100%
  • Transfer Learning 100%
  • Knowledge Distillation 100%
  • Smaller Sample 100%
  1 引文 斯高帕斯（Scopus）

• Large kernel convolution application for land cover change detection of remote sensing images

  Huang, J., Yuan, X., Lam, C. T., Ke, W. & Huang, G., 8月 2024, 於: International Journal of Applied Earth Observation and Geoinformation. 132, 104077.

  研究成果: Article › 同行評審

  開啟存取

  • Land Cover Change 100%
  • Kernel Convolution 100%
  • Land Cover 50%

• Light Field Depth Estimation for Non-Lambertian Objects via Adaptive Cross Operator

  Cui, Z., Sheng, H., Yang, D., Wang, S., Chen, R. & Ke, W., 1 2月 2024, 於: IEEE Transactions on Circuits and Systems for Video Technology. 34, 2, p. 1199-1211 13 p.

  研究成果: Article › 同行評審

  • Depth Estimation 100%
  • Lambertian Object 100%
  • Depth Information 33%
  • Aliasing 16%
  • Transparent Object 16%
  24 引文 斯高帕斯（Scopus）

• Manipulating Data Lakes Intelligently with Java Annotations

  Hoi, L. M., Ke, W. & Im, S. K., 2024, 於: IEEE Access. 12, p. 34903-34917 15 p.

  研究成果: Article › 同行評審

  開啟存取

  • Annotation 100%
  • Artificial Intelligence 66%
  • Information Storage 33%
  • Processing Data 33%
  • Data Type 33%
  1 引文 斯高帕斯（Scopus）

• MMDN: Arrhythmia detection using multi-scale multi-view dual-branch fusion network

  Zhu, Y., Jiang, M., He, X., Li, Y., Li, J., Mao, J. & Ke, W., 10月 2024, 於: Biomedical Signal Processing and Control. 96, 106468.

  研究成果: Article › 同行評審

  • Feature Fusion 100%
  • Multilayer Neural Networks 100%
  • Auxiliaries 100%
  • Recognition Result 50%
  • Multilayer Perceptron 50%

• Multi-Agent Deep Reinforcement Learning Joint Beamforming for Slicing Resource Allocation

  Yan, D., Ng, B. K., Ke, W. & Lam, C. T., 1 5月 2024, 於: IEEE Wireless Communications Letters. 13, 5, p. 1220-1224 5 p.

  研究成果: Article › 同行評審

  • Resource Allocation 100%
  • Multi-Agent Deep Reinforcement Learning 100%
  • Utility Function 66%
  • Fast Convergence 33%
  • Mean Algorithm 33%

• Object manipulation based on the head manipulation space in VR

  Liu, X., Wang, L., Ke, W. & Im, S. K., 12月 2024, 於: International Journal of Human Computer Studies. 192, 103346.

  研究成果: Article › 同行評審

  • Augmented Reality 100%
  • Virtual Reality 100%
  • Task Completion 50%

• Online 3D behavioral tracking of aquatic model organism with a dual-camera system

  Wu, Z., Wang, C., Zhang, W., Sun, G., Ke, W. & Xiong, Z., 8月 2024, 於: Advanced Engineering Informatics. 61, 102481.

  研究成果: Article › 同行評審

  • 3d Reconstruction 100%
  • Object Detector 50%
  • Tracking System 50%
  • Monitoring System 50%
  • Simulated Data 50%
  1 引文 斯高帕斯（Scopus）

• RANDnet: Vehicle Re-Identification with Relation Attention and Nuance–Disparity Masks

  Huang, Y., Sheng, H. & Ke, W., 6月 2024, 於: Applied Sciences (Switzerland). 14, 11, 4929.

  研究成果: Article › 同行評審

  開啟存取

  • Reidentification 100%
  • Attention (Machine Learning) 50%
  • Background Noise 50%

• Secure and Privacy-Protected Bioinformation Implementation in Air Passenger Transport Based on DLT

  Chen, Y., Lyu, M., Kan, H. Y., Chan, M. P., Ke, W. & Pau, G., 8月 2024, 於: Applied Sciences (Switzerland). 14, 15, 6426.

  研究成果: Article › 同行評審

  開啟存取

  • Biometric Technology 100%

• Triple Consistency for Transparent Cheating Problem in Light Field Depth Estimation

  Cui, Z., Yang, D., Sheng, H., Wang, S., Chen, R., Cong, R. & Ke, W., 2024, (Accepted/In press) 於: IEEE Transactions on Multimedia. p. 1-14 14 p.

  研究成果: Article › 同行評審

  • Estimation Method 100%
  • Depth Estimation 100%
  • Centrifugal 66%
  • Reflectance 50%
  • State of the Art 50%

• Typing Requirement Model as Coroutines

  Gu, Q. & Ke, W., 2024, 於: IEEE Access. 12, p. 8449-8460 12 p.

  研究成果: Article › 同行評審

  開啟存取

  • Requirements Models 100%
  • Engineering 100%
  • Model-Driven Engineering 75%
  • Type Systems 75%
  • Sequence Diagram 50%
• 2023

  AEA-Net:Affinity-supervised entanglement attentive network for person re-identification

  Wang, D., Chen, Y., Tao, L., Hu, C., Tie, Z. & Ke, W., 8月 2023, 於: Pattern Recognition Letters. 172, p. 237-244 8 p.

  研究成果: Article › 同行評審

  • Person Re-Identification 100%
  • local feature 100%
  • Identification Algorithm 25%
  2 引文 斯高帕斯（Scopus）

• A multi-fault diagnosis method based on improved SMOTE for class-imbalanced data

  Xu, Y., Zhao, Y., Ke, W., He, Y. L., Zhu, Q. X., Zhang, Y. & Cheng, X., 4月 2023, 於: Canadian Journal of Chemical Engineering. 101, 4, p. 1986-2001 16 p.

  研究成果: Article › 同行評審

  • Imbalanced Data 100%
  • fault diagnose method 100%
  • Decision Trees 75%
  • Mahalanobis Distance 75%
  • Class Imbalance 50%
  7 引文 斯高帕斯（Scopus）

• A novel density ratio-based batch active learning fault diagnosis method integrated with adaptive Laplacian graph trimming

  Jiang, X., Xu, Y., Zhu, Q. X., Zhang, Y., He, Y. L., Zhang, M. Q. & Ke, W., 11月 2023, 於: Canadian Journal of Chemical Engineering. 101, 11, p. 6471-6481 11 p.

  研究成果: Article › 同行評審

  • Active Learning 100%
  • fault diagnose method 100%
  • Laplace Operator 100%
  • Tennessee 100%
  • Photovoltaic System 100%

• A novel imbalanced fault diagnosis method based on area identification conditional generative adversarial networks

  Xu, Y., Zou, X., Ke, W., Zhu, Q. X., He, Y. L., Zhang, M. Q. & Zhang, Y., 12月 2023, 於: Canadian Journal of Chemical Engineering. 101, 12, p. 6944-6958 15 p.

  研究成果: Article › 同行評審

  • Generative Adversarial Networks 100%
  • fault diagnose method 100%
  • Auxiliaries 100%
  • Fault Diagnosis 42%
  • Discriminator 28%
  1 引文 斯高帕斯（Scopus）

• A novel imbalanced fault diagnosis method integrated KLFDA with improved cost-sensitive learning ANBSVM

  Jiang, X., Xu, Y., Ke, W., Zhang, Y., Zhu, Q. & He, Y., 4月 2023, 於: Canadian Journal of Chemical Engineering. 101, 4, p. 1943-1952 10 p.

  研究成果: Article › 同行評審

  • Adaptive Learning 100%
  • fault diagnose method 100%
  • Discriminant Analysis 100%
  • Support Vector Machine 100%
  • Bayesian 100%

• A novel pattern classification integrated GLPP with improved AROMF for fault diagnosis

  Xu, Y., Jiang, X., Ke, W., Zhu, Q., He, Y., Zhang, Y. & Wang, Z., 3月 2023, 於: Process Safety and Environmental Protection. 171, p. 299-311 13 p.

  研究成果: Article › 同行評審

  • Fault Diagnosis 100%
  • Pattern Classification 100%
  • Test Signal 50%
  • Pattern Matching 33%
  • fault diagnose method 33%
  2 引文 斯高帕斯（Scopus）

• Deep Reinforcement Learning Based Resource Allocation for Network Slicing With Massive MIMO

  Yan, D., Ng, B. K., Ke, W. & Lam, C. T., 2023, 於: IEEE Access. 11, p. 75899-75911 13 p.

  研究成果: Article › 同行評審

  開啟存取

  • Network Slicing 100%
  • Deep Reinforcement Learning 100%
  • Resource Allocation 100%
  • MIMO Systems 100%
  • Reinforcement Learning 100%
  5 引文 斯高帕斯（Scopus）

• Fusion and Allocation Network for Light Field Image Super-Resolution

  Zhang, W., Ke, W., Wu, Z., Zhang, Z., Sheng, H. & Xiong, Z., 3月 2023, 於: Mathematics. 11, 5, 1088.

  研究成果: Article › 同行評審

  開啟存取

  • Light Field 100%
  • Field Image 100%
  • super resolution 100%
  • Information Fusion 100%
  • Feature Fusion 20%
  1 引文 斯高帕斯（Scopus）

• Fusion of Multi-Modal Features to Enhance Dense Video Caption

  Huang, X., Chan, K. H., Wu, W., Sheng, H. & Ke, W., 6月 2023, 於: Sensors. 23, 12, 5565.

  研究成果: Article › 同行評審

  開啟存取

  • Long Short-Term Memory Network 100%
  • Visual Feature 100%
  • Confidence Score 100%
  • Computing Methodology 100%
  • Sequence Length 100%
  3 引文 斯高帕斯（Scopus）

• Hybrid Motion Model for Multiple Object Tracking in Mobile Devices

  Wu, Y., Sheng, H., Zhang, Y., Wang, S., Xiong, Z. & Ke, W., 15 3月 2023, 於: IEEE Internet of Things Journal. 10, 6, p. 4735-4748 14 p.

  研究成果: Article › 同行評審

  開啟存取

  • Tracking Object 100%
  • Motion Model 100%
  • Mobile Device 100%
  • Internet of Things 25%
  • Intelligent Transportation System 25%
  38 引文 斯高帕斯（Scopus）

• Improving 3-D Zebrafish Tracking With Multiview Data Fusion and Global Association

  Wang, C., Wu, Z., Chen, Y., Zhang, W., Ke, W. & Xiong, Z., 1 8月 2023, 於: IEEE Sensors Journal. 23, 15, p. 17245-17259 15 p.

  研究成果: Article › 同行評審

  • Data Fusion 100%
  • Face 100%
  • Video Sequences 50%
  • Tracking System 50%
  • Tracking Object 50%
  3 引文 斯高帕斯（Scopus）

• Light field super-resolution using complementary-view feature attention

  Zhang, W., Ke, W., Yang, D., Sheng, H. & Xiong, Z., 12月 2023, 於: Computational Visual Media. 9, 4, p. 843-858 16 p.

  研究成果: Article › 同行評審

  開啟存取

  • super resolution 100%
  • Attention (Machine Learning) 33%
  • Multiple Perspective 33%
  • Experimental Result 33%
  • Angular Position 33%
  9 引文 斯高帕斯（Scopus）

• MFSRNet: spatial-angular correlation retaining for light field super-resolution

  Wang, S., Sheng, H., Yang, D., Cui, Z., Cong, R. & Ke, W., 9月 2023, 於: Applied Intelligence. 53, 17, p. 20327-20345 19 p.

  研究成果: Article › 同行評審

  • Multiscale 100%
  • Light Field 100%
  • Scale Feature 100%
  • Angular Correlation 100%
  • super resolution 100%
  2 引文 斯高帕斯（Scopus）

• Parallel Dense Video Caption Generation with Multi-Modal Features

  Huang, X., Chan, K. H., Ke, W. & Sheng, H., 9月 2023, 於: Mathematics. 11, 17, 3685.

  研究成果: Article › 同行評審

  開啟存取

  • Long Short-Term Memory Network 100%
  • Transfer Information 100%
  • Experimental Result 100%
  • Extracted Feature 100%
  2 引文 斯高帕斯（Scopus）

• SMigraPH: a perceptually retained method for passive haptics-based migration of MR indoor scenes

  Ma, Q., Wang, L., Ke, W. & Im, S. K., 2023, (Accepted/In press) 於: Visual Computer.

  研究成果: Article › 同行評審

  • Head Mounted Display 100%

• Uncertainty-guided joint attention and contextual relation network for person re-identification

  Wang, D., Chen, Y., Wang, W., Tie, Z., Fang, X. & Ke, W., 5月 2023, 於: Journal of Visual Communication and Image Representation. 93, 103822.

  研究成果: Article › 同行評審

  • Person Re-Identification 100%
  • local feature 100%
  • Contextual Information 16%
  • Individual Pixel 16%
  4 引文 斯高帕斯（Scopus）

• Visualizing the Behavior of Learning European Portuguese in Different Regions of the World Through a Mobile Application

  Hoi, L. M., Sun, Y., Ke, W. & Im, S. K., 2023, 於: IEEE Access. 11, p. 113913-113930 18 p.

  研究成果: Article › 同行評審

  開啟存取

  • Mobile Application 100%
  • Language Instruction 100%
  • Language Learning 100%
  • Consumers 66%
  • Learning Experiences 33%

• VVIR-OM: Efficient Object Manipulation in VR with Variable Virtual Interaction Region

  Zheng, Q., Wang, L., Ke, W. & Im, S. K., 2023, (Accepted/In press) 於: International Journal of Human-Computer Interaction.

  研究成果: Article › 同行評審

  • Virtual Reality 100%
  • Virtual Interaction 100%
  • Interaction Region 100%
  • Virtual Environments 10%
  • Mapping Algorithm 10%
  1 引文 斯高帕斯（Scopus）
• 2022

  An Imbalanced Multifault Diagnosis Method Based on Bias Weights AdaBoost

  Jiang, X., Xu, Y., Ke, W., Zhang, Y., Zhu, Q. X. & He, Y. L., 2022, 於: IEEE Transactions on Instrumentation and Measurement. 71

  研究成果: Article › 同行評審

  • Minority Class 100%
  • Fault Diagnosis 100%
  • Weak Classifier 100%
  • Base Classifier 100%
  • Comparison Result 50%
  33 引文 斯高帕斯（Scopus）

• Image Classification of Alzheimer’s Disease Based on External-Attention Mechanism and Fully Convolutional Network

  Jiang, M., Yan, B., Li, Y., Zhang, J., Li, T. & Ke, W., 3月 2022, 於: Brain Sciences. 12, 3, 319.

  研究成果: Article › 同行評審

  開啟存取

  • Attention (Machine Learning) 100%
  • Image Classification 100%
  • Convolutional Network 100%
  • Neural Network 100%
  • Classification Performance 100%
  12 引文 斯高帕斯（Scopus）

• Learning for Data Synthesis: Joint Local Salient Projection and Adversarial Network Optimization for Vehicle Re-Identification

  Chen, Y., Ke, W., Zhang, W., Wang, C., Sheng, H. & Xiong, Z., 12月 2022, 於: Sensors. 22, 23, 9539.

  研究成果: Article › 同行評審

  開啟存取

  • Reidentification 100%
  • Network Optimization 100%
  • Data Synthesis 100%
  • Training Data 40%
  • Deep Learning 40%

• Learning More in Vehicle Re-Identification: Joint Local Blur Transformation and Adversarial Network Optimization

  Chen, Y., Ke, W., Sheng, H. & Xiong, Z., 8月 2022, 於: Applied Sciences (Switzerland). 12, 15, 7467.

  研究成果: Article › 同行評審

  開啟存取

  • Reidentification 100%
  • Network Optimization 100%
  • Generator Network 100%
  • Learning Framework 50%
  • Convolutional Neural Network 50%

• Local perspective based synthesis for vehicle re-identification: A transformation state adversarial method

  Chen, Y., Ke, W., Lin, H., Lam, C. T., Lv, K., Sheng, H. & Xiong, Z., 2月 2022, 於: Journal of Visual Communication and Image Representation. 83, 103432.

  研究成果: Article › 同行評審

  • Reidentification 100%
  • Convolutional Neural Network 20%
  • Perspective Transformation 20%
  • Generator Network 20%
  • Data Synthesis 20%
  8 引文 斯高帕斯（Scopus）

• Multiple classifier for concatenate-designed neural network

  Chan, K. H., Im, S. K. & Ke, W., 1月 2022, 於: Neural Computing and Applications. 34, 2, p. 1359-1372 14 p.

  研究成果: Article › 同行評審

  • Neural Network 100%
  • multiple classifier 100%
  • Fast Convergence 50%
  • Residual Neural Network 50%
  • DenseNet 50%
  20 引文 斯高帕斯（Scopus）

• Progressive Multi-Scale Fusion Network for Light Field Super-Resolution

  Zhang, W., Ke, W., Sheng, H. & Xiong, Z., 7月 2022, 於: Applied Sciences (Switzerland). 12, 14, 7135.

  研究成果: Article › 同行評審

  開啟存取

  • Multiscale 100%
  • Light Field 100%
  • Feature Fusion 100%
  • super resolution 100%
  • Auxiliaries 100%
  2 引文 斯高帕斯（Scopus）

• Visualization deep learning model for automatic arrhythmias classification

  Jiang, M., Qiu, Y., Zhang, W., Zhang, J., Wang, Z., Ke, W., Wu, Y. & Wang, Z., 31 8月 2022, 於: Physiological Measurement. 43, 8, 085003.

  研究成果: Article › 同行評審

  • Deep Learning 100%
  • Recurrent 100%
  • Deep Learning Model 100%
  • Electrocardiography 100%
  • Arrhythmia 100%
  9 引文 斯高帕斯（Scopus）
• 2021

  A General Method for Generating Discrete Orthogonal Matrices

  Chan, K. H., Ke, W. & Im, S. K., 2021, 於: IEEE Access. 9, p. 120380-120391 12 p., 9521887.

  研究成果: Article › 同行評審

  開啟存取

  • Orthogonal Matrix 100%
  • Polynomial 42%
  • Continuous Function 28%
  • Orthogonal Function 28%
  • Orthogonal Polynomial 14%
  10 引文 斯高帕斯（Scopus）

• A multilayer caru framework to obtain probability distribution for paragraph-based sentiment analysis

  Ke, W. & Chan, K. H., 1 12月 2021, 於: Applied Sciences (Switzerland). 11, 23, 11344.

  研究成果: Article › 同行評審

  開啟存取

  • Convolutional Neural Network 100%
  • Sentiment Analysis 100%
  • Extractor 100%
  • Recurrent Neural Network 50%
  • Term Dependency 50%
  13 引文 斯高帕斯（Scopus）