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ORCIDChi-Man Vong
Matthew Chi-Man Vong – 黃志文
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- unicode name: 黃志文
- affiliation: University of Macau
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2020 – today
- 2025
[j110]Qi Lai
, Chi-Man Vong, Tao Yan, Pak-Kin Wong, Xiaokun Liang:
Hybrid multiple instance learning network for weakly supervised medical image classification and localization. Expert Syst. Appl. 260: 125362 (2025)- [j109]Guangtai Wang, Jintao Huang, Yiqiang Lai, Chi-Man Vong:
Dealing with partial labels by knowledge distillation. Pattern Recognit. 158: 110965 (2025) - 2024
- [j108]Hongyan Li, Zhonglin Wan, Chi-Man Vong:
Multi-kernel partial label learning using graph contrast disambiguation. Appl. Intell. 54(20): 9760-9782 (2024) - [j107]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): 107310 (2024) - [j106]Chi-Man Wong, Fan Feng, Wen Zhang, Huajun Chen, Chi-Man Vong, Chuangquan Chen:
Billion-scale pre-trained knowledge graph model for conversational chatbot. Neurocomputing 606: 128353 (2024) - [j105]Guangtai Wang, Jintao Huang, Chi-Man Vong:
Stream label distribution learning processing via broad learning system. Inf. Sci. 677: 120836 (2024) - [j104]Jie Du, Wei Li, Peng Liu, Chi-Man Vong, Yongke You, Baiying Lei, Tianfu Wang:
Federated learning using model projection for multi-center disease diagnosis with non-IID data. Neural Networks 178: 106409 (2024) - [j103]Zhibin Quan, Chi-Man Vong, Weili Zeng, Wankou Yang:
The MorPhEMe Machine: An Addressable Neural Memory for Learning Knowledge-Regularized Deep Contextualized Chinese Embedding. IEEE ACM Trans. Audio Speech Lang. Process. 32: 1673-1686 (2024) - [j102]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): 828-839 (2024) - [j101]Erhao Zhou, Chi-Man Vong, Yusuke Nojima, Shitong Wang:
Internally and Generatively Decorrelated Ensemble of First-Order Takagi-Sugeno-Kang Fuzzy Regressors With Quintuply Diversity Guarantee. IEEE Trans. Fuzzy Syst. 32(3): 1288-1302 (2024) - [j100]Runshan Xie, Chi-Man Vong, Shitong Wang:
Doubly Interpretable Fuzzy Apriori Classifier by Successive Stacking and One-Step Wide Calculation. IEEE Trans. Fuzzy Syst. 32(4): 1653-1667 (2024) - [j99]Hui Huang, Hai-Jun Rong, Zhao-Xu Yang, Chi-Man Vong:
Multilayer Stacked Evolving Fuzzy System Combined With Compressed Representation Learning. IEEE Trans. Fuzzy Syst. 32(4): 2223-2234 (2024) - [j98]Xinyu Jiang, Heng Li, Chuangquan Chen, Yongquan Chen, Junlang Huang, Zuguang Zhou, Yimin Zhou, Chi-Man Vong:
DDIO-Mapping: A Fast and Robust Visual-Inertial Odometry for Low-Texture Environment Challenge. IEEE Trans. Ind. Informatics 20(3): 4418-4428 (2024) - [j97]Qi Lai, Chi-Man Vong, Chuangquan Chen:
Weakly Supervised Semantic Segmentation via Dual-Stream Contrastive Learning of Cross-Image Contextual Information. IEEE Trans. Ind. Informatics 20(10): 11635-11643 (2024) - [j96]Jie Du, Peng Liu, Chi-Man Vong, Chuangquan Chen, Tianfu Wang, C. L. Philip Chen:
Class-Incremental Learning Method With Fast Update and High Retainability Based on Broad Learning System. IEEE Trans. Neural Networks Learn. Syst. 35(8): 11332-11345 (2024) - [j95]Jie Du, Xiaoci Zhang, Peng Liu, Chi-Man Vong, Tianfu Wang:
An Adaptive Deep Metric Learning Loss Function for Class-Imbalance Learning via Intraclass Diversity and Interclass Distillation. IEEE Trans. Neural Networks Learn. Syst. 35(11): 15372-15386 (2024) - [j94]Qi Lai, Chi-Man Vong, Jianhang Zhou, Yimin Zhou, C. L. Philip Chen:
Fast Broad Multiview Multi-Instance Multilabel Learning (FBM3L) With Viewwise Intercorrelation. IEEE Trans. Neural Networks Learn. Syst. 35(11): 15415-15426 (2024) - [c18]Jian Sun, Xinyu Jiang, Xin Xu, Chi-Man Vong:
WAGL: Extreme Weather Adaptive Method for Robust and Generalizable UAV-based Cross-View Geo-localization. UAVM 2024: 14-18 - [i10]Chen-Bin Feng, Qi Lai, Kangdao Liu, Houcheng Su, Chi-Man Vong:
Boosting Few-Shot Semantic Segmentation Via Segment Anything Model. CoRR abs/2401.09826 (2024) - [i9]Qi Lai, Chi-Man Vong:
Weakly-supervised Semantic Segmentation via Dual-stream Contrastive Learning of Cross-image Contextual Information. CoRR abs/2405.04913 (2024) - [i8]Jian Sun, Yuqi Dai, Chi-Man Vong, Qing Xu, Shengbo Eben Li, Jianqiang Wang, Lei He, Keqiang Li:
OE-BevSeg: An Object Informed and Environment Aware Multimodal Framework for Bird's-eye-view Vehicle Semantic Segmentation. CoRR abs/2407.13137 (2024) - [i7]Kangdao Liu, Tianhao Sun, Hao Zeng, Yongshan Zhang, Chi-Man Pun, Chi-Man Vong:
Spatial-Aware Conformal Prediction for Trustworthy Hyperspectral Image Classification. CoRR abs/2409.01236 (2024) - [i6]Kangdao Liu, Hao Zeng, Jianguo Huang, Huiping Zhuang, Chi-Man Vong, Hongxin Wei:
C-Adapter: Adapting Deep Classifiers for Efficient Conformal Prediction Sets. CoRR abs/2410.09408 (2024) - 2023
- [j93]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): 118918 (2023) - [j92]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): 5 (2023) - [j91]Hongyan Li, Chi-Man Vong, Zhonglin Wan:
Multi-graph embedding for partial label learning. Neural Comput. Appl. 35(27): 20253-20271 (2023) - [j90]Peng Liu, Jie Du, Chi-Man Vong:
A novel sequential structure for lightweight multi-scale feature learning under limited available images. Neural Networks 164: 124-134 (2023) - [j89]Yichen Sun, Chi-Man Vong, Shitong Wang:
Fast AUC Maximization Learning Machine With Simultaneous Outlier Detection. IEEE Trans. Cybern. 53(11): 6843-6857 (2023) - [j88]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): 1177-1190 (2023) - [j87]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): 1377-1393 (2023) - [j86]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): 2305-2319 (2023) - [j85]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): 3290-3304 (2023) - [j84]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): 3234-3240 (2023) - [j83]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): 10240-10253 (2023) - [i5]Houcheng Su, Jintao Huang, Daixian Liu, Rui Yan, Jiao Li, Chi-Man Vong:
Graph based Label Enhancement for Multi-instance Multi-label learning. CoRR abs/2304.10705 (2023) - 2022
- [j82]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: 103442 (2022) - [j81]Zhao-Xu Yang, Hai-Jun Rong, Pak Kin Wong, Plamen 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): 828-851 (2022) - [j80]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): 102783 (2022) - [j79]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: 228-247 (2022) - [j78]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: 107982 (2022) - [j77]Qi Lai, Chi-Man Vong, Pak-Kin Wong, Shitong Wang, Tao Yan, I. Cheong Choi, Hon Ho Yu:
Multi-scale Multi-instance Multi-feature Joint Learning Broad Network (M3JLBN) for gastric intestinal metaplasia subtype classification. Knowl. Based Syst. 249: 108960 (2022) - [j76]Junliu Zhong, Yanfen Gan, Chi-Man Vong, Ji-Xiang Yang, Jing-Hong Zhao, Jiahua Luo:
Effective and efficient pixel-level detection for diverse video copy-move forgery types. Pattern Recognit. 122: 108286 (2022) - [j75]Zekang Bian, Chi-Man Vong, Pak-Kin Wong, Shitong Wang:
Fuzzy KNN Method With Adaptive Nearest Neighbors. IEEE Trans. Cybern. 52(6): 5380-5393 (2022) - [j74]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): 1378-1395 (2022) - [j73]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): 1967-1980 (2022) - [j72]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): 20489-20505 (2022) - [i4]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 abs/2209.02625 (2022) - 2021
- [j71]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: 87543-87551 (2021) - [j70]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: 102909 (2021) - [j69]Jiahua Luo, Chiman Wong, Chi-Man Vong:
Multinomial Bayesian extreme learning machine for sparse and accurate classification model. Neurocomputing 423: 24-33 (2021) - [j68]Wanshui Gan, Pak-Kin Wong, Guokuan Yu, Rongchen Zhao, Chi-Man Vong:
Light-weight network for real-time adaptive stereo depth estimation. Neurocomputing 441: 118-127 (2021) - [j67]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: 106-116 (2021) - [j66]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: 218-230 (2021) - [j65]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): 1586-1597 (2021) - [j64]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): 10087-10096 (2021) - [j63]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): 6395-6406 (2021) - [c17]Chi-Chong Wong, Chi-Man Vong:
Persistent Homology based Graph Convolution Network for Fine-grained 3D Shape Segmentation. ICCV 2021: 7078-7087 - [c16]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: 2607-2612 - [i3]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 abs/2104.14899 (2021) - [i2]Jiahua Luo, Chi-Man Vong, Jie Du:
Sparse Bayesian Learning with Diagonal Quasi-Newton Method For Large Scale Classification. CoRR abs/2107.08195 (2021) - 2020
- [j62]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: 11700-11709 (2020) - [j61]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: 104026 (2020) - [j60]Chuangquan Chen, Yanfen Gan, Chi-Man Vong:
Extreme semi-supervised learning for multiclass classification. Neurocomputing 376: 103-118 (2020) - [j59]Feng Wu, Chi-Man Vong, Qiong Liu:
Tracking objects with partial occlusion by background alignment. Neurocomputing 402: 1-13 (2020) - [j58]Fengchao Wang, Zhewei Xu, Yanfen Gan, Chi-Man Vong, Qiong Liu:
SCNet: Scale-aware coupling-structure network for efficient video object detection. Neurocomputing 404: 283-293 (2020) - [j57]Hu Lin, Jingkai Zhou, Yanfen Gan, Chi-Man Vong, Qiong Liu:
Novel up-scale feature aggregation for object detection in aerial images. Neurocomputing 411: 364-374 (2020) - [j56]Weiru Wang, Yanfen Gan, Chi-Man Vong, Chuangquan Chen:
Homo-ELM: fully homomorphic extreme learning machine. Int. J. Mach. Learn. Cybern. 11(7): 1531-1540 (2020) - [j55]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): 8031-8046 (2020) - [j54]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): 14399-14409 (2020) - [j53]Chi-Man Vong, Jie Du:
Accurate and efficient sequential ensemble learning for highly imbalanced multi-class data. Neural Networks 128: 268-278 (2020) - [j52]Jie Du, Chi-Man Vong:
Robust Online Multilabel Learning Under Dynamic Changes in Data Distribution With Labels. IEEE Trans. Cybern. 50(1): 374-385 (2020) - [j51]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): 5128-5136 (2020) - [c15]Chi-Chong Wong, Chi-Man Vong:
Efficient Outdoor 3D Point Cloud Semantic Segmentation for Critical Road Objects and Distributed Contexts. ECCV (27) 2020: 499-514 - [e1]Jiuwen Cao, Chi-Man Vong, Yoan Miche, Amaury Lendasse:
Proceedings of ELM 2018, International Conference on Extreme Learning Machine, Singapore, 21-23 November 2018. Proceedings in Adaptation, Learning and Optimization 11, Springer 2020, ISBN 978-3-030-23306-8 [contents]
2010 – 2019
- 2019
- [j50]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: 12348-12359 (2019) - [j49]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: 67996-68009 (2019) - [j48]Jingkai Zhou, Chi-Man Vong, Qiong Liu, Zhenyu Wang:
Scale adaptive image cropping for UAV object detection. Neurocomputing 366: 305-313 (2019) - [j47]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): 2245-2256 (2019) - [j46]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): 481-494 (2019) - [j45]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): 658-672 (2019) - [j44]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): 3986-3999 (2019) - [c14]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: 3817-3821 - [c13]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: 758-765 - [i1]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 abs/1905.07503 (2019) - 2018
- [j43]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: 18088-18107 (2018) - [j42]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: 187-197 (2018) - [j41]Chi-Man Vong, Chuangquan Chen, Pak-Kin Wong:
Empirical kernel map-based multilayer extreme learning machines for representation learning. Neurocomputing 310: 265-276 (2018) - [j40]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): 1517-1538 (2018) - [j39]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): 1539-1558 (2018) - [j38]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): 3563-3574 (2018) - [j37]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): 3049-3063 (2018) - [j36]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): 757-762 (2018) - [j35]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): 6163-6177 (2018) - [c12]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: 740-755 - 2017
- [j34]Chi-Man Vong, Yan Liu, Jiuwen Cao, Chun Yin:
Cascaded re-ranking modelling of translation hypotheses using extreme learning machines. Appl. Soft Comput. 58: 681-689 (2017) - [j33]Yan Liu, Chi-Man Vong, Pak-Kin Wong:
Extreme Learning Machine for Huge Hypotheses Re-ranking in Statistical Machine Translation. Cogn. Comput. 9(2): 285-294 (2017) - [j32]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: 332-344 (2017) - [j31]Amaury Lendasse, Chi-Man Vong, Kar-Ann Toh, Yoan Miche, Guang-Bin Huang:
Advances in extreme learning machines (ELM2015). Neurocomputing 261: 1-3 (2017) - [j30]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): 851-865 (2017) - [j29]Cong Lin, Chi-Man Pun, Chi-Man Vong, Don Adjeroh:
Efficient shape classification using region descriptors. Multim. Tools Appl. 76(1): 83-102 (2017) - [j28]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: 101-114 (2017) - [j27]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): 1213-1226 (2017) - [j26]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): 3707-3720 (2017) - [j25]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): 2268-2281 (2017) - 2016
- [j24]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): 746-756 (2016) - [j23]Amaury Lendasse, Chi-Man Vong, Yoan Miche, Guang-Bin Huang:
Advances in extreme learning machines (ELM2014). Neurocomputing 174: 1-3 (2016) - [j22]Pak-Kin Wong, Jianhua Zhong, Zhixin Yang, Chi-Man Vong:
Sparse Bayesian extreme learning committee machine for engine simultaneous fault diagnosis. Neurocomputing 174: 331-343 (2016) - [j21]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: 117-125 (2016) - [j20]Jiuwen Cao, Jiaoping Hao, Xiaoping Lai, Chi-Man Vong, Minxia Luo:
Ensemble extreme learning machine and sparse representation classification. J. Frankl. Inst. 353(17): 4526-4541 (2016) - [j19]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): 79-92 (2016) - [j18]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): 121-130 (2016) - [j17]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): 5331-5344 (2016) - 2015
- [j16]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): 18-29 (2015) - [j15]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): 381-391 (2015) - [j14]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: 397-404 (2015) - [j13]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): 1149-1156 (2015) - 2014
- [j12]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: 238-248 (2014) - [j11]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: 136-144 (2014) - [j10]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: 249-257 (2014) - [j9]Jiahua Luo, Chi-Man Vong, Pak-Kin Wong:
Sparse Bayesian Extreme Learning Machine for Multi-classification. IEEE Trans. Neural Networks Learn. Syst. 25(4): 836-843 (2014) - [c11]Pak-Kin Wong, Hang-Cheong Wong, Tong Meng Iong, Chi-Man Vong:
Hybrid model predictive controller for engine air-ratio control. ICARCV 2014: 181-186 - [c10]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: 347-352 - 2013
- [j8]Ka In Wong, Pak-Kin Wong, Chun Shun Cheung, Chi-Man Vong:
Modelling of diesel engine performance using advanced machine learning methods under scarce and exponential data set. Appl. Soft Comput. 13(11): 4428-4441 (2013) - [j7]Erik Cambria, Guang-Bin Huang, Liyanaarachchi Lekamalage Chamara Kasun, Hongming Zhou, Chi-Man Vong, Jiarun Lin, Jianping Yin, Zhiping Cai, Qiang Liu, Kuan Li, Victor C. M. Leung, Liang Feng, Yew-Soon Ong, Meng-Hiot Lim, Anton Akusok, Amaury Lendasse, Francesco Corona, Rui Nian, Yoan Miche, Paolo Gastaldo, Rodolfo Zunino, Sergio Decherchi, Xuefeng Yang, Kezhi Mao, Beom-Seok Oh, Je-Hyoung Jeon, Kar-Ann Toh, Andrew Beng Jin Teoh, Jaihie Kim, Hanchao Yu, Yiqiang Chen, Junfa Liu:
Extreme Learning Machines. IEEE Intell. Syst. 28(6): 30-59 (2013) - [j6]Chi-Man Vong, Pak-Kin Wong, Weng-Fai Ip:
A New Framework of Simultaneous-Fault Diagnosis Using Pairwise Probabilistic Multi-Label Classification for Time-Dependent Patterns. IEEE Trans. Ind. Electron. 60(8): 3372-3385 (2013) - [c9]Chi-Man Vong, Pak-Kin Wong, Ka In Wong, Zi-Qian Ma:
Inspection and control of vehicle emissions through Internet of Things and traffic lights. ICCVE 2013: 863-868 - 2012
- [j5]Pak-Kin Wong, Qingsong Xu, Chi-Man Vong, Hang-Cheong Wong:
Rate-Dependent Hysteresis Modeling and Control of a Piezostage Using Online Support Vector Machine and Relevance Vector Machine. IEEE Trans. Ind. Electron. 59(4): 1988-2001 (2012) - [c8]Pak-Kin Wong, Hang-Cheong Wong, Chi-Man Vong:
Modelling and prediction of automotive engine airratio using relevance vector machine. ICARCV 2012: 1710-1715 - 2011
- [j4]Chi-Man Vong, Pak-Kin Wong, Weng-Fai Ip:
Case-based expert system using wavelet packet transform and kernel-based feature manipulation for engine ignition system diagnosis. Eng. Appl. Artif. Intell. 24(7): 1281-1294 (2011) - [j3]Chi-Man Vong, Pak-Kin Wong:
Engine ignition signal diagnosis with Wavelet Packet Transform and Multi-class Least Squares Support Vector Machines. Expert Syst. Appl. 38(7): 8563-8570 (2011) - [c7]Chi-Man Vong, Pak-Kin Wong, Weng-Fai Ip:
Simultaneous faults diagnosis for automotive ignition patterns. ICMLC 2011: 1324-1330 - 2010
- [j2]Chi-Man Vong, Pak-Kin Wong:
Case-based adaptation for automotive engine electronic control unit calibration. Expert Syst. Appl. 37(4): 3184-3194 (2010) - [c6]Chi-Man Vong, Pak-Kin Wong, Weng-Fai Ip:
Case-Based Classification System with Clustering for Automotive Engine Spark Ignition Diagnosis. ACIS-ICIS 2010: 17-22 - [c5]Weng-Fai Ip, Chi-Man Vong, J. Y. Yang, Pak-Kin Wong:
Least Squares Support Vector Prediction for Daily Atmospheric Pollutant Level. ACIS-ICIS 2010: 23-28 - [c4]Pak-Kin Wong, Hang-Cheong Wong, Chi-Man Vong, Weng-Fai Ip:
Predictive Air-Ratio Controller for Automotive Engines Based on Online Neural Network: Design and Experimental Evaluation. ACIS-ICIS 2010: 275-279
2000 – 2009
- 2006
- [j1]Chi-Man Vong, Pak-Kin Wong, Yi-Ping Li:
Prediction of automotive engine power and torque using least squares support vector machines and Bayesian inference. Eng. Appl. Artif. Intell. 19(3): 277-287 (2006) - 2005
- [c3]Chi-Man Vong, Pak-Kin Wong, Yi-Ping Li:
Data Transformation in Modern Petrol Engine Tune-up. LAPTEC 2005: 26-33 - [c2]Pak-Kin Wong, Chi-Man Vong, Y. P. Li, Lap-Mou Tam:
Modelling and Prediction of Electronically Controlled Automotive Engine Power and Torque Using Support Vector Machines. LAPTEC 2005: 87-96 - 2003
- [c1]Chi-Man Vong, Yi-Ping Li, Pak-Kin Wong:
Knowledge Acquisition Through Case-Based Adaptation for Hydraulic Power Machine Design. ICEIS (2) 2003: 571-574
Coauthor Index
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