Chi-Man Vong

Orcid: 0000-0001-7997-8279

  • University of Macau

According to our database1, Chi-Man Vong authored at least 124 papers between 2003 and 2024.

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In proceedings 
PhD thesis 


Online presence:



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

Label correlations-based multi-label feature selection with label enhancement.
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

Stream label distribution learning processing via broad learning system.
Inf. Sci., 2024

Weakly-supervised Semantic Segmentation via Dual-stream Contrastive Learning of Cross-image Contextual Information.
CoRR, 2024

Boosting Few-Shot Semantic Segmentation Via Segment Anything Model.
CoRR, 2024

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

NRSTRNet: A Novel Network for Noise-Robust Scene Text Recognition.
Int. J. Comput. Intell. Syst., December, 2023

Fast AUC Maximization Learning Machine With Simultaneous Outlier Detection.
IEEE Trans. Cybern., November, 2023

Multi-Label Feature Selection via Label Enhancement and Analytic Hierarchy Process.
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

Multi-graph embedding for partial label learning.
Neural Comput. Appl., September, 2023

Online Label Distribution Learning Using Random Vector Functional-Link Network.
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

Parameter-Free Loss for Class-Imbalanced Deep Learning in Image Classification.
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

Graph based Label Enhancement for Multi-instance Multi-label learning.
CoRR, 2023

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

Fuzzy KNN Method With Adaptive Nearest Neighbors.
IEEE Trans. Cybern., 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

Easy Domain Adaptation for cross-subject multi-view emotion recognition.
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

Scale-adaptive super-feature based MetricUNet for brain tumor segmentation.
Biomed. Signal Process. Control., 2022

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

Light-weight network for real-time adaptive stereo depth estimation.
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

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

Homo-ELM: fully homomorphic extreme learning machine.
Int. J. Mach. Learn. Cybern., 2020

Tracking objects with partial occlusion by background alignment.
Neurocomputing, 2020

SCNet: Scale-aware coupling-structure network for efficient video object detection.
Neurocomputing, 2020

Novel up-scale feature aggregation for object detection in aerial images.
Neurocomputing, 2020

Extreme semi-supervised learning for multiclass classification.
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

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

Scale adaptive image cropping for UAV object detection.
Neurocomputing, 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

Kernel-Based Multilayer Extreme Learning Machines for Representation Learning.
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

Efficient extreme learning machine via very sparse random projection.
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

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

Post-boosting of classification boundary for imbalanced data using geometric mean.
Neural Networks, 2017

Efficient shape classification using region descriptors.
Multim. Tools Appl., 2017

Encrypted image classification based on multilayer extreme learning machine.
Multidimens. Syst. Signal Process., 2017

A novel meta-cognitive fuzzy-neural model with backstepping strategy for adaptive control of uncertain nonlinear systems.
Neurocomputing, 2017

Advances in extreme learning machines (ELM2015).
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

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

Fast detection of impact location using kernel extreme learning machine.
Neural Comput. Appl., 2016

Ensemble extreme learning machine and sparse representation classification.
J. Frankl. Inst., 2016

Sparse Bayesian extreme learning committee machine for engine simultaneous fault diagnosis.
Neurocomputing, 2016

Advances in extreme learning machines (ELM2014).
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

Fast and accurate face detection by sparse Bayesian extreme learning machine.
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

Local Receptive Fields Based Extreme Learning Machine.
IEEE Comput. Intell. Mag., 2015

Sparse Bayesian Extreme Learning Machine for Multi-classification.
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

Hybrid model predictive controller for engine air-ratio control.
Proceedings of the 13th International Conference on Control Automation Robotics & Vision, 2014

A New Framework of Simultaneous-Fault Diagnosis Using Pairwise Probabilistic Multi-Label Classification for Time-Dependent Patterns.
IEEE Trans. Ind. Electron., 2013

Extreme Learning Machines.
IEEE Intell. Syst., 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

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

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

Simultaneous faults diagnosis for automotive ignition patterns.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

Case-based adaptation for automotive engine electronic control unit calibration.
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

Least Squares Support Vector Prediction for Daily Atmospheric Pollutant Level.
Proceedings of the 9th IEEE/ACIS International Conference on Computer and Information Science, 2010

Prediction of automotive engine power and torque using least squares support vector machines and Bayesian inference.
Eng. Appl. Artif. Intell., 2006

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

Data Transformation in Modern Petrol Engine Tune-up.
Proceedings of the Advances in Logic Based Intelligent Systems, 2005

Knowledge Acquisition Through Case-Based Adaptation for Hydraulic Power Machine Design.
Proceedings of the ICEIS 2003, 2003