Chi-Man Vong

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 95

Top Venues

Neurocomputing

IEEE Trans. Neural Networks Learn. Syst.

CoRR

Neural Comput. Appl.

Publications

Qi Lai, Jianhang Zhou, Yanfen Gan, Chi-Man Vong, C. L. Philip Chen
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. 8 (1) (2024)
Chen-Bin Feng, Qi Lai, Kangdao Liu, Houcheng Su, Chi-Man Vong
Boosting Few-Shot Semantic Segmentation Via Segment Anything Model. CoRR (2024)
Wenbin Qian, Yinsong Xiong, Weiping Ding, Jintao Huang, Chi-Man Vong
Label correlations-based multi-label feature selection with label enhancement. Eng. Appl. Artif. Intell. 127 (Part A) (2024)
Yichen Sun, Chi-Man Vong, Shitong Wang
Fast AUC Maximization Learning Machine With Simultaneous Outlier Detection. IEEE Trans. Cybern. 53 (11) (2023)
Erhao Zhou, Chi-Man Vong, Yusuke Nojima, Shitong Wang
A Fully Interpretable First-Order TSK Fuzzy System and Its Training With Negative Entropic and Rule-Stability-Based Regularization. IEEE Trans. Fuzzy Syst. 31 (7) (2023)
Zhen Jia, Zhenbao Liu, Chi-Man Vong, Shengdong Wang, Yongyi Cai
DC-DC Buck circuit fault diagnosis with insufficient state data based on deep model and transfer strategy. Expert Syst. Appl. 213 (Part) (2023)
Jintao Huang, Chi-Man Vong, C. L. Philip Chen, Yimin Zhou
Accurate and Efficient Large-Scale Multi-Label Learning With Reduced Feature Broad Learning System Using Label Correlation. IEEE Trans. Neural Networks Learn. Syst. 34 (12) (2023)
Hongwei Yue, Yufeng Huang, Chi-Man Vong, Yingying Jin, Zhiqiang Zeng, Mingqi Yu, Chuangquan Chen
NRSTRNet: A Novel Network for Noise-Robust Scene Text Recognition. Int. J. Comput. Intell. Syst. 16 (1) (2023)
Peng Liu, Jie Du, Chi-Man Vong
A novel sequential structure for lightweight multi-scale feature learning under limited available images. Neural Networks 164 (2023)
Jintao Huang, Chi-Man Vong, Guangtai Wang, Wenbin Qian, Yimin Zhou, C. L. Philip Chen
Joint Label Enhancement and Label Distribution Learning via Stacked Graph Regularization-Based Polynomial Fuzzy Broad Learning System. IEEE Trans. Fuzzy Syst. 31 (9) (2023)
Jintao Huang, Wenbin Qian, Chi-Man Vong, Weiping Ding, Wenhao Shu, Qin Huang
Multi-Label Feature Selection via Label Enhancement and Analytic Hierarchy Process. IEEE Trans. Emerg. Top. Comput. Intell. 7 (5) (2023)
Jintao Huang, Chi-Man Vong, Wenbin Qian, Qin Huang, Yimin Zhou
Online Label Distribution Learning Using Random Vector Functional-Link Network. IEEE Trans. Emerg. Top. Comput. Intell. 7 (4) (2023)
Houcheng Su, Jintao Huang, Daixian Liu, Rui Yan, Jiao Li, Chi-Man Vong
Graph based Label Enhancement for Multi-instance Multi-label learning. CoRR (2023)
Hongyan Li, Chi-Man Vong, Zhonglin Wan
Multi-graph embedding for partial label learning. Neural Comput. Appl. 35 (27) (2023)
Jie Du, Yanhong Zhou, Peng Liu, Chi-Man Vong, Tianfu Wang
Parameter-Free Loss for Class-Imbalanced Deep Learning in Image Classification. IEEE Trans. Neural Networks Learn. Syst. 34 (6) (2023)
Zhao-Xu Yang, Hai-Jun Rong, Pak-Kin Wong, Plamen P. Angelov, Chi-Man Vong, Chi-Chong Chiu, Zhi-Xin Yang
A Novel Multiple Feature-Based Engine Knock Detection System using Sparse Bayesian Extreme Learning Machine. Cogn. Comput. 14 (2) (2022)
Qi Lai, Chi-Man Vong, Pak-Kin Wong, Shitong Wang, Tao Yan, I. Cheong Choi, Hon Ho Yu
JLBN) for gastric intestinal metaplasia subtype classification. Knowl. Based Syst. 249 (2022)
Suhang Gu, Chi-Man Vong, Pak-Kin Wong, Shitong Wang
Fast Training of Adversarial Deep Fuzzy Classifier by Downsizing Fuzzy Rules With Gradient Guided Learning. IEEE Trans. Fuzzy Syst. 30 (6) (2022)
Junliu Zhong, Yanfen Gan, Chi-Man Vong, Jixiang Yang, Jing-Hong Zhao, Jia-Hua Luo
Effective and efficient pixel-level detection for diverse video copy-move forgery types. Pattern Recognit. 122 (2022)
Yanfen Gan, Junliu Zhong, Chi-Man Vong
A Novel Copy-Move Forgery Detection Algorithm via Feature Label Matching and Hierarchical Segmentation Filtering. Inf. Process. Manag. 59 (1) (2022)
Chuangquan Chen, Chi-Man Vong, Shitong Wang, Hongtao Wang, Miaoqi Pang
Easy Domain Adaptation for cross-subject multi-view emotion recognition. Knowl. Based Syst. 239 (2022)
Runshan Xie, Chi-Man Vong, C. L. Philip Chen, Shitong Wang
Dynamic Network Structure: Doubly Stacking Broad Learning Systems With Residuals and Simpler Linear Model Transmission. IEEE Trans. Emerg. Top. Comput. Intell. 6 (6) (2022)
Yujian Liu, Jie Du, Chi-Man Vong, Guanghui Yue, Juan Yu, Yuli Wang, Baiying Lei, Tianfu Wang
Scale-adaptive super-feature based MetricUNet for brain tumor segmentation. Biomed. Signal Process. Control. 73 (2022)
Zekang Bian, Chi-Man Vong, Pak-Kin Wong, Shitong Wang
Fuzzy KNN Method With Adaptive Nearest Neighbors. IEEE Trans. Cybern. 52 (6) (2022)
Qi Lai, Jianhang Zhou, Yanfen Gan, Chi-Man Vong, Deshuang Huang
Single-Stage Broad Multi-Instance Multi-Label Learning (BMIML) with Diverse Inter-Correlations and its application to medical image classification. CoRR (2022)
Hui Huang, Hai-Jun Rong, Zhao-Xu Yang, Chi-Man Vong
Recursive least mean dual p-power solution to the generalization of evolving fuzzy system under multiple noises. Inf. Sci. 609 (2022)
Chi-Chong Wong, Chi-Man Vong, Xinyu Jiang, Yimin Zhou
Feature-Based Direct Tracking and Mapping for Real-Time Noise-Robust Outdoor 3D Reconstruction Using Quadcopters. IEEE Trans. Intell. Transp. Syst. 23 (11) (2022)
Hongyan Li, Chi-Man Vong, Pak-Kin Wong, Weng-Fai Ip, Tao Yan, I. Cheong Choi, Hon Ho Yu
A multi-feature fusion method for image recognition of gastrointestinal metaplasia (GIM). Biomed. Signal Process. Control. 69 (2021)
Jiahua Luo, Chi-Man Vong, Jie Du
Sparse Bayesian Learning with Diagonal Quasi-Newton Method For Large Scale Classification. CoRR (2021)
Zhen Jia, Zhenbao Liu, Yanfen Gan, Chi-Man Vong, Michael G. Pecht
A Deep Forest-Based Fault Diagnosis Scheme for Electronics-Rich Analog Circuit Systems. IEEE Trans. Ind. Electron. 68 (10) (2021)
Zhewei Xu, Chi-Man Vong, Chi-Chong Wong, Qiong Liu
Ground Plane Context Aggregation Network for Day-and-Night on Vehicular Pedestrian Detection. IEEE Trans. Intell. Transp. Syst. 22 (10) (2021)
Jiahua Luo, Chiman Wong, Chi-Man Vong
Multinomial Bayesian extreme learning machine for sparse and accurate classification model. Neurocomputing 423 (2021)
Jiahua Luo, Yanfen Gan, Chi-Man Vong, Chi-Man Wong, Chuangquan Chen
Scalable and memory-efficient sparse learning for classification with approximate Bayesian regularization priors. Neurocomputing 457 (2021)
Wanshui Gan, Pak-Kin Wong, Guokuan Yu, Rongchen Zhao, Chi-Man Vong
Light-weight network for real-time adaptive stereo depth estimation. Neurocomputing 441 (2021)
Chiman Wong, Fan Feng, Wen Zhang, Chi-Man Vong, Hui Chen, Yichi Zhang, Peng He, Huan Chen, Kun Zhao, Huajun Chen
Improving Conversational Recommendation System by Pretraining on Billions Scale of Knowledge Graph. CoRR (2021)
Jie Du, Chi-Man Vong, C. L. Philip Chen
Novel Efficient RNN and LSTM-Like Architectures: Recurrent and Gated Broad Learning Systems and Their Applications for Text Classification. IEEE Trans. Cybern. 51 (3) (2021)
Jiahua Luo, Chi-Man Vong, Zhenbao Liu, Chuangquan Chen
An Inverse-Free and Scalable Sparse Bayesian Extreme Learning Machine for Classification Problems. IEEE Access 9 (2021)
Chi-Chong Wong, Chi-Man Vong
Persistent Homology based Graph Convolution Network for Fine-grained 3D Shape Segmentation. ICCV (2021)
Chi-Man Wong, Fan Feng, Wen Zhang, Chi-Man Vong, Hui Chen, Yichi Zhang, Peng He, Huan Chen, Kun Zhao, Huajun Chen
Improving Conversational Recommender System by Pretraining Billion-scale Knowledge Graph. ICDE (2021)
Hui Huang, Hai-Jun Rong, Zhao-Xu Yang, Chi-Man Vong
Jointly evolving and compressing fuzzy system for feature reduction and classification. Inf. Sci. 579 (2021)
Hu Lin, Jingkai Zhou, Yanfen Gan, Chi-Man Vong, Qiong Liu
Novel up-scale feature aggregation for object detection in aerial images. Neurocomputing 411 (2020)
Chuangquan Chen, Chi-Man Vong, Pak-Kin Wong, Keng Iam Tai
Approximate empirical kernel map-based iterative extreme learning machine for clustering. Neural Comput. Appl. 32 (12) (2020)
Feng Wu, Chi-Man Vong, Qiong Liu
Tracking objects with partial occlusion by background alignment. Neurocomputing 402 (2020)
Chuangquan Chen, Yanfen Gan, Chi-Man Vong
Extreme semi-supervised learning for multiclass classification. Neurocomputing 376 (2020)
Pak-Kin Wong, Wei Huang, Chi-Man Vong, Zhixin Yang
Adaptive neural tracking control for automotive engine idle speed regulation using extreme learning machine. Neural Comput. Appl. 32 (18) (2020)
Jie Du, Chi-Man Vong
Robust Online Multilabel Learning Under Dynamic Changes in Data Distribution With Labels. IEEE Trans. Cybern. 50 (1) (2020)
Chi-Chong Wong, Chi-Man Vong
Efficient Outdoor 3D Point Cloud Semantic Segmentation for Critical Road Objects and Distributed Contexts. ECCV (27) (2020)
Weiru Wang, Yanfen Gan, Chi-Man Vong, Chuangquan Chen
Homo-ELM: fully homomorphic extreme learning machine. Int. J. Mach. Learn. Cybern. 11 (7) (2020)
Chi-Man Vong, Jie Du
Accurate and efficient sequential ensemble learning for highly imbalanced multi-class data. Neural Networks 128 (2020)
Jie Du, Chi-Man Vong, Chuangquan Chen, Peng Liu, Zhenbao Liu
Supervised Extreme Learning Machine-Based Auto-Encoder for Discriminative Feature Learning. IEEE Access 8 (2020)
Chi-Chong Wong, Yanfen Gan, Chi-Man Vong
Efficient Outdoor Video Semantic Segmentation Using Feedback-Based Fully Convolution Neural Network. IEEE Trans. Ind. Informatics 16 (8) (2020)
Tao Yan, Pak-Kin Wong, I. Cheong Choi, Chi-Man Vong, Hon Ho Yu
Intelligent diagnosis of gastric intestinal metaplasia based on convolutional neural network and limited number of endoscopic images. Comput. Biol. Medicine 126 (2020)
Fengchao Wang, Zhewei Xu, Yanfen Gan, Chi-Man Vong, Qiong Liu
SCNet: Scale-aware coupling-structure network for efficient video object detection. Neurocomputing 404 (2020)
Zhizhong Han, Xiyang Wang, Chi-Man Vong, Yu-Shen Liu, Matthias Zwicker, C. L. Philip Chen
3DViewGraph: Learning Global Features for 3D Shapes from A Graph of Unordered Views with Attention. CoRR (2019)
Zhizhong Han, Zhenbao Liu, Junwei Han, Chi-Man Vong, Shuhui Bu, C. L. Philip Chen
Unsupervised Learning of 3-D Local Features From Raw Voxels Based on a Novel Permutation Voxelization Strategy. IEEE Trans. Cybern. 49 (2) (2019)
Zhen Jia, Zhenbao Liu, Chi-Man Vong, Xin Liu
Real-Time Response-Based Fault Analysis and Prognostics Techniques of Nonisolated DC-DC Converters. IEEE Access 7 (2019)
Zhen Jia, Zhenbao Liu, Chi-Man Vong, Michael G. Pecht
A Rotating Machinery Fault Diagnosis Method Based on Feature Learning of Thermal Images. IEEE Access 7 (2019)
Jingkai Zhou, Chi-Man Vong, Qiong Liu, Zhenyu Wang
Scale adaptive image cropping for UAV object detection. Neurocomputing 366 (2019)
Pak-Kin Wong, Xiang Hui Gao, Ka In Wong, Chi-Man Vong, Zhi-Xin Yang
Initial-training-free online sequential extreme learning machine based adaptive engine air-fuel ratio control. Int. J. Mach. Learn. Cybern. 10 (9) (2019)
Zhizhong Han, Mingyang Shang, Zhenbao Liu, Chi-Man Vong, Yu-Shen Liu, Matthias Zwicker, Junwei Han, C. L. Philip Chen
SeqViews2SeqLabels: Learning 3D Global Features via Aggregating Sequential Views by RNN With Attention. IEEE Trans. Image Process. 28 (2) (2019)
Zhizhong Han, Xiyang Wang, Chi-Man Vong, Yu-Shen Liu, Matthias Zwicker, C. L. Philip Chen
3DViewGraph: Learning Global Features for 3D Shapes from A Graph of Unordered Views with Attention. IJCAI (2019)
Zhizhong Han, Honglei Lu, Zhenbao Liu, Chi-Man Vong, Yu-Shen Liu, Matthias Zwicker, Junwei Han, C. L. Philip Chen
3D2SeqViews: Aggregating Sequential Views for 3D Global Feature Learning by CNN With Hierarchical Attention Aggregation. IEEE Trans. Image Process. 28 (8) (2019)
Tianlei Wang, Xiaoping Lai, Jiuwen Cao, Chi-Man Vong, Badong Chen
An Enhanced Hierarchical Extreme Learning Machine with Random Sparse Matrix Based Autoencoder. ICASSP (2019)
Zhenbao Liu, Zhen Jia, Chi-Man Vong, Junwei Han, Chenggang Yan, Michael G. Pecht
A Patent Analysis of Prognostics and Health Management (PHM) Innovations for Electrical Systems. IEEE Access 6 (2018)
Chi-Man Vong, Jie Du, Chiman Wong, Jiuwen Cao
Postboosting Using Extended G-Mean for Online Sequential Multiclass Imbalance Learning. IEEE Trans. Neural Networks Learn. Syst. 29 (12) (2018)
Chuangquan Chen, Chi-Man Vong, Chiman Wong, Weiru Wang, Pak-Kin Wong
Efficient extreme learning machine via very sparse random projection. Soft Comput. 22 (11) (2018)
Jiuwen Cao, Tianlei Wang, Luming Shang, Xiaoping Lai, Chi-Man Vong, Badong Chen
An intelligent propagation distance estimation algorithm based on fundamental frequency energy distribution for periodic vibration localization. J. Frankl. Inst. 355 (4) (2018)
Chiman Wong, Chi-Man Vong, Pak-Kin Wong, Jiuwen Cao
Kernel-Based Multilayer Extreme Learning Machines for Representation Learning. IEEE Trans. Neural Networks Learn. Syst. 29 (3) (2018)
Min Fu, Chi Man Wong, Hai Zhu, Yanjun Huang, Yuanping Li, Xi Zheng, Jia Wu, Jian Yang, Chi-Man Vong
DAliM: Machine Learning Based Intelligent Lucky Money Determination for Large-Scale E-Commerce Businesses. ICSOC (2018)
Pak-Kin Wong, Xiang Hui Gao, Ka In Wong, Chi-Man Vong
Efficient point-by-point engine calibration using machine learning and sequential design of experiment strategies. J. Frankl. Inst. 355 (4) (2018)
Zhizhong Han, Zhenbao Liu, Chi-Man Vong, Yu-Shen Liu, Shuhui Bu, Junwei Han, C. L. Philip Chen
Deep Spatiality: Unsupervised Learning of Spatially-Enhanced Global and Local 3D Features by Deep Neural Network With Coupled Softmax. IEEE Trans. Image Process. 27 (6) (2018)
Pak-Kin Wong, Xiang Hui Gao, Ka In Wong, Chi-Man Vong
Online extreme learning machine based modeling and optimization for point-by-point engine calibration. Neurocomputing 277 (2018)
Chi-Man Vong, Chuangquan Chen, Pak-Kin Wong
Empirical kernel map-based multilayer extreme learning machines for representation learning. Neurocomputing 310 (2018)
Chi-Man Vong, Yan Liu, Jiuwen Cao, Chun Yin
Cascaded re-ranking modelling of translation hypotheses using extreme learning machines. Appl. Soft Comput. 58 (2017)
Jie Du, Chi-Man Vong, Chi-Man Pun, Pak-Kin Wong, Weng-Fai Ip
Post-boosting of classification boundary for imbalanced data using geometric mean. Neural Networks 96 (2017)
Amaury Lendasse, Chi-Man Vong, Kar-Ann Toh, Yoan Miche, Guang-Bin Huang
Advances in extreme learning machines (ELM2015). Neurocomputing 261 (2017)
Cong Lin, Chi-Man Pun, Chi-Man Vong, Don Adjeroh
Efficient shape classification using region descriptors. Multim. Tools Appl. 76 (1) (2017)
Zhenbao Liu, Zhen Jia, Chi-Man Vong, Shuhui Bu, Junwei Han, Xiaojun Tang
Capturing High-Discriminative Fault Features for Electronics-Rich Analog System via Deep Learning. IEEE Trans. Ind. Informatics 13 (3) (2017)
Hai-Jun Rong, Zhao-Xu Yang, Pak-Kin Wong, Chi-Man Vong, Guang-She Zhao
A novel meta-cognitive fuzzy-neural model with backstepping strategy for adaptive control of uncertain nonlinear systems. Neurocomputing 230 (2017)
Weiru Wang, Chi-Man Vong, Yilong Yang, Pak-Kin Wong
Encrypted image classification based on multilayer extreme learning machine. Multidimens. Syst. Signal Process. 28 (3) (2017)
Zhizhong Han, Zhenbao Liu, Junwei Han, Chi-Man Vong, Shuhui Bu, Chun Lung Philip Chen
Mesh Convolutional Restricted Boltzmann Machines for Unsupervised Learning of Features With Structure Preservation on 3-D Meshes. IEEE Trans. Neural Networks Learn. Syst. 28 (10) (2017)
Yan Liu, Chi-Man Vong, Pak-Kin Wong
Extreme Learning Machine for Huge Hypotheses Re-ranking in Statistical Machine Translation. Cogn. Comput. 9 (2) (2017)
Zhizhong Han, Zhenbao Liu, Chi-Man Vong, Yu-Shen Liu, Shuhui Bu, Junwei Han, C. L. Philip Chen
BoSCC: Bag of Spatial Context Correlations for Spatially Enhanced 3D Shape Representation. IEEE Trans. Image Process. 26 (8) (2017)
Jiuwen Cao, Jiaoping Hao, Xiaoping Lai, Chi-Man Vong, Minxia Luo
Ensemble extreme learning machine and sparse representation classification. J. Frankl. Inst. 353 (17) (2016)
Heming Fu, Chi-Man Vong, Pak-Kin Wong, Zhixin Yang
Fast detection of impact location using kernel extreme learning machine. Neural Comput. Appl. 27 (1) (2016)
Amaury Lendasse, Chi-Man Vong, Yoan Miche, Guang-Bin Huang
Advances in extreme learning machines (ELM2014). Neurocomputing 174 (2016)
Zhizhong Han, Zhenbao Liu, Junwei Han, Chi-Man Vong, Shuhui Bu, Xuelong Li
Unsupervised 3D Local Feature Learning by Circle Convolutional Restricted Boltzmann Machine. IEEE Trans. Image Process. 25 (11) (2016)
Pak-Kin Wong, Jianhua Zhong, Zhixin Yang, Chi-Man Vong
Sparse Bayesian extreme learning committee machine for engine simultaneous fault diagnosis. Neurocomputing 174 (2016)
Pak-Kin Wong, Xiang Hui Gao, Ka In Wong, Chi-Man Vong
An Analytical Study on Reasoning of Extreme Learning Machine for Classification from Its Inductive Bias. Cogn. Comput. 8 (4) (2016)
Pak-Kin Wong, Hang-Cheong Wong, Chi-Man Vong, Zhengchao Xie, Shaojia Huang
Model predictive engine air-ratio control using online sequential extreme learning machine. Neural Comput. Appl. 27 (1) (2016)
Xiang Hui Gao, Ka In Wong, Pak-Kin Wong, Chi-Man Vong
Adaptive control of rapidly time-varying discrete-time system using initial-training-free online extreme learning machine. Neurocomputing 194 (2016)
Ka In Wong, Chi-Man Vong, Pak-Kin Wong, Jiahua Luo
Sparse Bayesian extreme learning machine and its application to biofuel engine performance prediction. Neurocomputing 149 (2015)
Guang-Bin Huang, Zuo Bai, Liyanaarachchi Lekamalage Chamara Kasun, Chi-Man Vong
Local Receptive Fields Based Extreme Learning Machine. IEEE Comput. Intell. Mag. 10 (2) (2015)
Chi-Man Vong, Keng Iam Tai, Chi-Man Pun, Pak-Kin Wong
Fast and accurate face detection by sparse Bayesian extreme learning machine. Neural Comput. Appl. 26 (5) (2015)
Chi-Man Vong, Weng-Fai Ip, Chi-Chong Chiu, Pak-Kin Wong
Imbalanced Learning for Air Pollution by Meta-Cognitive Online Sequential Extreme Learning Machine. Cogn. Comput. 7 (3) (2015)
Pak-Kin Wong, Zhixin Yang, Chi-Man Vong, Jianhua Zhong
Real-time fault diagnosis for gas turbine generator systems using extreme learning machine. Neurocomputing 128 (2014)
Chi-Man Vong, Pak-Kin Wong, Ka In Wong
Simultaneous-fault detection based on qualitative symptom descriptions for automotive engine diagnosis. Appl. Soft Comput. 22 (2014)
Pak-Kin Wong, Hang-Cheong Wong, Tong Meng Iong, Chi-Man Vong
Hybrid model predictive controller for engine air-ratio control. ICARCV (2014)
Chi-Man Vong, Pak-Kin Wong, Zi-Qian Ma, Ka In Wong
Application of RFID technology and the maximum spanning tree algorithm for solving vehicle emissions in cities on Internet of Things. WF-IoT (2014)
Chi-Man Vong, Weng-Fai Ip, Pak-Kin Wong, Chi-Chong Chiu
Predicting minority class for suspended particulate matters level by extreme learning machine. Neurocomputing 128 (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Chi-Man Vong