Chi-Man Vong
Orcid: 0000-0001-7997-8279Affiliations:
- University of Macau
According to our database1,
Chi-Man Vong
authored at least 137 papers
between 2003 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Hybrid multiple instance learning network for weakly supervised medical image classification and localization.
Expert Syst. Appl., 2025
2024
Fast Broad Multiview Multi-Instance Multilabel Learning (FBM3L) With Viewwise Intercorrelation.
IEEE Trans. Neural Networks Learn. Syst., November, 2024
An Adaptive Deep Metric Learning Loss Function for Class-Imbalance Learning via Intraclass Diversity and Interclass Distillation.
IEEE Trans. Neural Networks Learn. Syst., November, 2024
Weakly Supervised Semantic Segmentation via Dual-Stream Contrastive Learning of Cross-Image Contextual Information.
IEEE Trans. Ind. Informatics, October, 2024
Appl. Intell., October, 2024
Class-Incremental Learning Method With Fast Update and High Retainability Based on Broad Learning System.
IEEE Trans. Neural Networks Learn. Syst., August, 2024
Doubly Interpretable Fuzzy Apriori Classifier by Successive Stacking and One-Step Wide Calculation.
IEEE Trans. Fuzzy Syst., April, 2024
Multilayer Stacked Evolving Fuzzy System Combined With Compressed Representation Learning.
IEEE Trans. Fuzzy Syst., April, 2024
DDIO-Mapping: A Fast and Robust Visual-Inertial Odometry for Low-Texture Environment Challenge.
IEEE Trans. Ind. Informatics, March, 2024
Internally and Generatively Decorrelated Ensemble of First-Order Takagi-Sugeno-Kang Fuzzy Regressors With Quintuply Diversity Guarantee.
IEEE Trans. Fuzzy Syst., March, 2024
Single-Stage Broad Multi-Instance Multi-Label Learning (BMIML) With Diverse Inter-Correlations and Its Application to Medical Image Classification.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2024
Eng. Appl. Artif. Intell., January, 2024
The MorPhEMe Machine: An Addressable Neural Memory for Learning Knowledge-Regularized Deep Contextualized Chinese Embedding.
IEEE ACM Trans. Audio Speech Lang. Process., 2024
Federated learning using model projection for multi-center disease diagnosis with non-IID data.
Neural Networks, 2024
Inf. Sci., 2024
Neurocomputing, 2024
CoRR, 2024
Spatial-Aware Conformal Prediction for Trustworthy Hyperspectral Image Classification.
CoRR, 2024
OE-BevSeg: An Object Informed and Environment Aware Multimodal Framework for Bird's-eye-view Vehicle Semantic Segmentation.
CoRR, 2024
Weakly-supervised Semantic Segmentation via Dual-stream Contrastive Learning of Cross-image Contextual Information.
CoRR, 2024
WAGL: Extreme Weather Adaptive Method for Robust and Generalizable UAV-based Cross-View Geo-localization.
Proceedings of the 2nd Workshop on UAVs in Multimedia: Capturing the World from a New Perspective, 2024
2023
Accurate and Efficient Large-Scale Multi-Label Learning With Reduced Feature Broad Learning System Using Label Correlation.
IEEE Trans. Neural Networks Learn. Syst., December, 2023
Int. J. Comput. Intell. Syst., December, 2023
IEEE Trans. Cybern., November, 2023
IEEE Trans. Emerg. Top. Comput. Intell., October, 2023
Joint Label Enhancement and Label Distribution Learning via Stacked Graph Regularization-Based Polynomial Fuzzy Broad Learning System.
IEEE Trans. Fuzzy Syst., September, 2023
Neural Comput. Appl., September, 2023
IEEE Trans. Emerg. Top. Comput. Intell., August, 2023
A novel sequential structure for lightweight multi-scale feature learning under limited available images.
Neural Networks, July, 2023
IEEE Trans. Neural Networks Learn. Syst., June, 2023
A Fully Interpretable First-Order TSK Fuzzy System and Its Training With Negative Entropic and Rule-Stability-Based Regularization.
IEEE Trans. Fuzzy Syst., 2023
DC-DC Buck circuit fault diagnosis with insufficient state data based on deep model and transfer strategy.
Expert Syst. Appl., 2023
2022
Feature-Based Direct Tracking and Mapping for Real-Time Noise-Robust Outdoor 3D Reconstruction Using Quadcopters.
IEEE Trans. Intell. Transp. Syst., 2022
Fast Training of Adversarial Deep Fuzzy Classifier by Downsizing Fuzzy Rules With Gradient Guided Learning.
IEEE Trans. Fuzzy Syst., 2022
Dynamic Network Structure: Doubly Stacking Broad Learning Systems With Residuals and Simpler Linear Model Transmission.
IEEE Trans. Emerg. Top. Comput. Intell., 2022
Effective and efficient pixel-level detection for diverse video copy-move forgery types.
Pattern Recognit., 2022
Multi-scale Multi-instance Multi-feature Joint Learning Broad Network (M<sup>3</sup>JLBN) for gastric intestinal metaplasia subtype classification.
Knowl. Based Syst., 2022
Knowl. Based Syst., 2022
Recursive least mean dual p-power solution to the generalization of evolving fuzzy system under multiple noises.
Inf. Sci., 2022
A Novel Copy-Move Forgery Detection Algorithm via Feature Label Matching and Hierarchical Segmentation Filtering.
Inf. Process. Manag., 2022
Single-Stage Broad Multi-Instance Multi-Label Learning (BMIML) with Diverse Inter-Correlations and its application to medical image classification.
CoRR, 2022
A Novel Multiple Feature-Based Engine Knock Detection System using Sparse Bayesian Extreme Learning Machine.
Cogn. Comput., 2022
Biomed. Signal Process. Control., 2022
2021
Ground Plane Context Aggregation Network for Day-and-Night on Vehicular Pedestrian Detection.
IEEE Trans. Intell. Transp. Syst., 2021
A Deep Forest-Based Fault Diagnosis Scheme for Electronics-Rich Analog Circuit Systems.
IEEE Trans. Ind. Electron., 2021
Novel Efficient RNN and LSTM-Like Architectures: Recurrent and Gated Broad Learning Systems and Their Applications for Text Classification.
IEEE Trans. Cybern., 2021
Jointly evolving and compressing fuzzy system for feature reduction and classification.
Inf. Sci., 2021
Multinomial Bayesian extreme learning machine for sparse and accurate classification model.
Neurocomputing, 2021
Scalable and memory-efficient sparse learning for classification with approximate Bayesian regularization priors.
Neurocomputing, 2021
Neurocomputing, 2021
Sparse Bayesian Learning with Diagonal Quasi-Newton Method For Large Scale Classification.
CoRR, 2021
Improving Conversational Recommendation System by Pretraining on Billions Scale of Knowledge Graph.
CoRR, 2021
A multi-feature fusion method for image recognition of gastrointestinal metaplasia (GIM).
Biomed. Signal Process. Control., 2021
An Inverse-Free and Scalable Sparse Bayesian Extreme Learning Machine for Classification Problems.
IEEE Access, 2021
Improving Conversational Recommender System by Pretraining Billion-scale Knowledge Graph.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021
Persistent Homology based Graph Convolution Network for Fine-grained 3D Shape Segmentation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
2020
Efficient Outdoor Video Semantic Segmentation Using Feedback-Based Fully Convolution Neural Network.
IEEE Trans. Ind. Informatics, 2020
Robust Online Multilabel Learning Under Dynamic Changes in Data Distribution With Labels.
IEEE Trans. Cybern., 2020
Accurate and efficient sequential ensemble learning for highly imbalanced multi-class data.
Neural Networks, 2020
Adaptive neural tracking control for automotive engine idle speed regulation using extreme learning machine.
Neural Comput. Appl., 2020
Approximate empirical kernel map-based iterative extreme learning machine for clustering.
Neural Comput. Appl., 2020
Int. J. Mach. Learn. Cybern., 2020
Neurocomputing, 2020
Neurocomputing, 2020
Neurocomputing, 2020
Intelligent diagnosis of gastric intestinal metaplasia based on convolutional neural network and limited number of endoscopic images.
Comput. Biol. Medicine, 2020
Supervised Extreme Learning Machine-Based Auto-Encoder for Discriminative Feature Learning.
IEEE Access, 2020
Efficient Outdoor 3D Point Cloud Semantic Segmentation for Critical Road Objects and Distributed Contexts.
Proceedings of the Computer Vision - ECCV 2020, 2020
2019
SeqViews2SeqLabels: Learning 3D Global Features via Aggregating Sequential Views by RNN With Attention.
IEEE Trans. Image Process., 2019
3D2SeqViews: Aggregating Sequential Views for 3D Global Feature Learning by CNN With Hierarchical Attention Aggregation.
IEEE Trans. Image Process., 2019
Unsupervised Learning of 3-D Local Features From Raw Voxels Based on a Novel Permutation Voxelization Strategy.
IEEE Trans. Cybern., 2019
Initial-training-free online sequential extreme learning machine based adaptive engine air-fuel ratio control.
Int. J. Mach. Learn. Cybern., 2019
A Rotating Machinery Fault Diagnosis Method Based on Feature Learning of Thermal Images.
IEEE Access, 2019
Real-Time Response-Based Fault Analysis and Prognostics Techniques of Nonisolated DC-DC Converters.
IEEE Access, 2019
3DViewGraph: Learning Global Features for 3D Shapes from A Graph of Unordered Views with Attention.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
An Enhanced Hierarchical Extreme Learning Machine with Random Sparse Matrix Based Autoencoder.
Proceedings of the IEEE International Conference on Acoustics, 2019
2018
IEEE Trans. Neural Networks Learn. Syst., 2018
Postboosting Using Extended G-Mean for Online Sequential Multiclass Imbalance Learning.
IEEE Trans. Neural Networks Learn. Syst., 2018
Deep Spatiality: Unsupervised Learning of Spatially-Enhanced Global and Local 3D Features by Deep Neural Network With Coupled Softmax.
IEEE Trans. Image Process., 2018
Soft Comput., 2018
Efficient point-by-point engine calibration using machine learning and sequential design of experiment strategies.
J. Frankl. Inst., 2018
An intelligent propagation distance estimation algorithm based on fundamental frequency energy distribution for periodic vibration localization.
J. Frankl. Inst., 2018
Online extreme learning machine based modeling and optimization for point-by-point engine calibration.
Neurocomputing, 2018
Empirical kernel map-based multilayer extreme learning machines for representation learning.
Neurocomputing, 2018
A Patent Analysis of Prognostics and Health Management (PHM) Innovations for Electrical Systems.
IEEE Access, 2018
DAliM: Machine Learning Based Intelligent Lucky Money Determination for Large-Scale E-Commerce Businesses.
Proceedings of the Service-Oriented Computing - 16th International Conference, 2018
2017
Mesh Convolutional Restricted Boltzmann Machines for Unsupervised Learning of Features With Structure Preservation on 3-D Meshes.
IEEE Trans. Neural Networks Learn. Syst., 2017
BoSCC: Bag of Spatial Context Correlations for Spatially Enhanced 3D Shape Representation.
IEEE Trans. Image Process., 2017
Capturing High-Discriminative Fault Features for Electronics-Rich Analog System via Deep Learning.
IEEE Trans. Ind. Informatics, 2017
Neural Networks, 2017
Multidimens. Syst. Signal Process., 2017
A novel meta-cognitive fuzzy-neural model with backstepping strategy for adaptive control of uncertain nonlinear systems.
Neurocomputing, 2017
Extreme Learning Machine for Huge Hypotheses Re-ranking in Statistical Machine Translation.
Cogn. Comput., 2017
Cascaded re-ranking modelling of translation hypotheses using extreme learning machines.
Appl. Soft Comput., 2017
2016
Unsupervised 3D Local Feature Learning by Circle Convolutional Restricted Boltzmann Machine.
IEEE Trans. Image Process., 2016
Model predictive engine air-ratio control using online sequential extreme learning machine.
Neural Comput. Appl., 2016
Neural Comput. Appl., 2016
J. Frankl. Inst., 2016
Sparse Bayesian extreme learning committee machine for engine simultaneous fault diagnosis.
Neurocomputing, 2016
Adaptive control of rapidly time-varying discrete-time system using initial-training-free online extreme learning machine.
Neurocomputing, 2016
An Analytical Study on Reasoning of Extreme Learning Machine for Classification from Its Inductive Bias.
Cogn. Comput., 2016
2015
Neural Comput. Appl., 2015
Sparse Bayesian extreme learning machine and its application to biofuel engine performance prediction.
Neurocomputing, 2015
Imbalanced Learning for Air Pollution by Meta-Cognitive Online Sequential Extreme Learning Machine.
Cogn. Comput., 2015
IEEE Comput. Intell. Mag., 2015
2014
IEEE Trans. Neural Networks Learn. Syst., 2014
Real-time fault diagnosis for gas turbine generator systems using extreme learning machine.
Neurocomputing, 2014
Predicting minority class for suspended particulate matters level by extreme learning machine.
Neurocomputing, 2014
Simultaneous-fault detection based on qualitative symptom descriptions for automotive engine diagnosis.
Appl. Soft Comput., 2014
Application of RFID technology and the maximum spanning tree algorithm for solving vehicle emissions in cities on Internet of Things.
Proceedings of the IEEE World Forum on Internet of Things, 2014
Proceedings of the 13th International Conference on Control Automation Robotics & Vision, 2014
2013
A New Framework of Simultaneous-Fault Diagnosis Using Pairwise Probabilistic Multi-Label Classification for Time-Dependent Patterns.
IEEE Trans. Ind. Electron., 2013
Modelling of diesel engine performance using advanced machine learning methods under scarce and exponential data set.
Appl. Soft Comput., 2013
Inspection and control of vehicle emissions through Internet of Things and traffic lights.
Proceedings of the International Conference on Connected Vehicles and Expo, 2013
2012
Rate-Dependent Hysteresis Modeling and Control of a Piezostage Using Online Support Vector Machine and Relevance Vector Machine.
IEEE Trans. Ind. Electron., 2012
Modelling and prediction of automotive engine airratio using relevance vector machine.
Proceedings of the 12th International Conference on Control Automation Robotics & Vision, 2012
2011
Engine ignition signal diagnosis with Wavelet Packet Transform and Multi-class Least Squares Support Vector Machines.
Expert Syst. Appl., 2011
Case-based expert system using wavelet packet transform and kernel-based feature manipulation for engine ignition system diagnosis.
Eng. Appl. Artif. Intell., 2011
Proceedings of the International Conference on Machine Learning and Cybernetics, 2011
2010
Expert Syst. Appl., 2010
Predictive Air-Ratio Controller for Automotive Engines Based on Online Neural Network: Design and Experimental Evaluation.
Proceedings of the 9th IEEE/ACIS International Conference on Computer and Information Science, 2010
Case-Based Classification System with Clustering for Automotive Engine Spark Ignition Diagnosis.
Proceedings of the 9th IEEE/ACIS International Conference on Computer and Information Science, 2010
Proceedings of the 9th IEEE/ACIS International Conference on Computer and Information Science, 2010
2006
Prediction of automotive engine power and torque using least squares support vector machines and Bayesian inference.
Eng. Appl. Artif. Intell., 2006
2005
Modelling and Prediction of Electronically Controlled Automotive Engine Power and Torque Using Support Vector Machines.
Proceedings of the Advances in Logic Based Intelligent Systems, 2005
Proceedings of the Advances in Logic Based Intelligent Systems, 2005
2003
Knowledge Acquisition Through Case-Based Adaptation for Hydraulic Power Machine Design.
Proceedings of the ICEIS 2003, 2003