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ORCIDTommy W. S. Chow
Tommy Wai-Shing Chow
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- affiliation: City University of Hong Kong
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2020 – today
- 2025
[j205]Mingxuan Mao
, Diyu Gui, Tommy W. S. Chow:
Territory Division Lyapunov Controller for Fast Maximum Power Point Tracking of Pavement PV System. IEEE Trans. Ind. Electron. 72(1): 536-546 (2025)- 2024
- [j204]Linshan Jia, Tommy W. S. Chow, Yixuan Yuan:
Causal Disentanglement Domain Generalization for time-series signal fault diagnosis. Neural Networks 172: 106099 (2024) - [j203]Yiwen Liu, Wenyu Xing, Mingquan Lin, Yuping Liu, Tommy W. S. Chow:
A New Classification Method for Diagnosing COVID-19 Pneumonia via Joint Parallel Deformable MLP Modules and Bi-LSTM With Multi-Source Generated Data of CXR Images. IEEE Trans. Consumer Electron. 70(1): 2794-2805 (2024) - [j202]Yang Zhao, Jianghong Ma, Tommy W. S. Chow:
Extractive Negative Opinion Summarization of Consumer Electronics Reviews. IEEE Trans. Consumer Electron. 70(1): 3521-3528 (2024) - [j201]Linshan Jia, Tommy W. S. Chow, Yu Wang, Jianghong Ma:
Dynamic Balanced Dual Prototypical Domain Generalization for Cross-Machine Fault Diagnosis. IEEE Trans. Instrum. Meas. 73: 1-10 (2024) - [j200]Tianjun Wei, Tommy W. S. Chow, Jianghong Ma:
FPSR+: Toward Robust, Efficient, and Scalable Collaborative Filtering With Partition-Aware Item Similarity Modeling. IEEE Trans. Knowl. Data Eng. 36(12): 8283-8296 (2024) - [j199]Wenting Chen, Jie Liu, Tommy W. S. Chow, Yixuan Yuan:
STAR-RL: Spatial-Temporal Hierarchical Reinforcement Learning for Interpretable Pathology Image Super-Resolution. IEEE Trans. Medical Imaging 43(12): 4368-4379 (2024) - [j198]Xiaolei Lu, Tommy W. S. Chow:
Partial Sequence Labeling With Structured Gaussian Processes. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2783-2792 (2024) - [i11]Wenting Chen, Jie Liu, Tommy W. S. Chow, Yixuan Yuan:
Spatial-temporal Hierarchical Reinforcement Learning for Interpretable Pathology Image Super-Resolution. CoRR abs/2406.18310 (2024) - 2023
- [j197]Linshan Jia, Tommy W. S. Chow, Yixuan Yuan:
GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis. Eng. Appl. Artif. Intell. 119: 105794 (2023) - [j196]Choujun Zhan, Yonglin Liu, Zeqiong Wu, Mingbo Zhao, Tommy W. S. Chow:
A hybrid machine learning framework for forecasting house price. Expert Syst. Appl. 233: 120981 (2023) - [j195]Tianjun Wei, Tommy W. S. Chow:
FGCR: Fused graph context-aware recommender system. Knowl. Based Syst. 277: 110806 (2023) - [j194]Junwei Gu, Yu Wang, Tommy W. S. Chow, Mingquan Zhang, Wenjian Lu:
A locally weighted multi-domain collaborative adaptation for failure prediction in SSDs. Knowl. Based Syst. 280: 111012 (2023) - [j193]Tianjun Wei, Tommy W. S. Chow, Jianghong Ma, Mingbo Zhao:
ExpGCN: Review-aware Graph Convolution Network for explainable recommendation. Neural Networks 157: 202-215 (2023) - [j192]Xiaolei Lu, Tommy W. S. Chow:
Modeling Sequential Annotations for Sequence Labeling With Crowds. IEEE Trans. Cybern. 53(4): 2335-2345 (2023) - [j191]Mingxuan Mao, Xinying Feng, Jihao Xin, Tommy W. S. Chow:
A Convolutional Neural Network-Based Maximum Power Point Voltage Forecasting Method for Pavement PV Array. IEEE Trans. Instrum. Meas. 72: 1-9 (2023) - [j190]Yang Zhao, Tommy W. S. Chow:
Opinion Summarization via Submodular Information Measures. IEEE Trans. Knowl. Data Eng. 35(11): 11708-11721 (2023) - [j189]Tianjun Wei, Tommy W. S. Chow, Jianghong Ma:
Modeling Self-Representation Label Correlations for Textual Aspects and Emojis Recommendation. IEEE Trans. Neural Networks Learn. Syst. 34(12): 10762-10774 (2023) - [j188]Jianghong Ma, Tommy W. S. Chow:
Latent Topic-Aware Multioutput Learning. IEEE Trans. Syst. Man Cybern. Syst. 53(12): 7547-7559 (2023) - [c36]Tianjun Wei, Jianghong Ma, Tommy W. S. Chow:
Collaborative Residual Metric Learning. SIGIR 2023: 1107-1116 - [c35]Tianjun Wei, Jianghong Ma, Tommy W. S. Chow:
Fine-tuning Partition-aware Item Similarities for Efficient and Scalable Recommendation. WWW 2023: 823-832 - [d1]Tianjun Wei, Jianghong Ma, Tommy W. S. Chow:
FPSR Implementation. Zenodo, 2023
- [i10]Tianjun Wei, Jianghong Ma, Tommy W. S. Chow:
Collaborative Residual Metric Learning. CoRR abs/2304.07971 (2023) - 2022
- [j187]Jianghong Ma, Tommy W. S. Chow, Haijun Zhang:
Semantic-Gap-Oriented Feature Selection and Classifier Construction in Multilabel Learning. IEEE Trans. Cybern. 52(1): 101-115 (2022) - [j186]Xiaolei Lu, Tommy W. S. Chow:
Weak Disambiguation for Partial Structured Output Learning. IEEE Trans. Cybern. 52(2): 1258-1268 (2022) - [j185]Jianghong Ma, Bernard Chi Yuen Chiu, Tommy W. S. Chow:
Multilabel Classification With Group-Based Mapping: A Framework With Local Feature Selection and Local Label Correlation. IEEE Trans. Cybern. 52(6): 4596-4610 (2022) - [j184]Jicong Fan, Tommy W. S. Chow, S. Joe Qin:
Kernel-Based Statistical Process Monitoring and Fault Detection in the Presence of Missing Data. IEEE Trans. Ind. Informatics 18(7): 4477-4487 (2022) - [j183]Yanxu Liu, Yu Wang, Tommy W. S. Chow, Baotong Li:
Deep Adversarial Subdomain Adaptation Network for Intelligent Fault Diagnosis. IEEE Trans. Ind. Informatics 18(9): 6038-6046 (2022) - [j182]Linshan Jia, Tommy W. S. Chow, Yu Wang, Yixuan Yuan:
Multiscale Residual Attention Convolutional Neural Network for Bearing Fault Diagnosis. IEEE Trans. Instrum. Meas. 71: 1-13 (2022) - [j181]Yu Wang, Yanxu Liu, Tommy W. S. Chow, Junwei Gu, Mingquan Zhang:
A Balanced Adversarial Domain Adaptation Method for Partial Transfer Intelligent Fault Diagnosis. IEEE Trans. Instrum. Meas. 71: 1-11 (2022) - [j180]Jianghong Ma, Tommy W. S. Chow:
Topic-Based Instance and Feature Selection in Multilabel Classification. IEEE Trans. Neural Networks Learn. Syst. 33(1): 315-329 (2022) - [i9]Tianjun Wei, Jianghong Ma, Tommy W. S. Chow:
Efficient and Scalable Recommendation via Item-Item Graph Partitioning. CoRR abs/2207.05959 (2022) - [i8]Xiaolei Lu, Tommy W. S. Chow:
Duration modeling with semi-Markov Conditional Random Fields for keyphrase extraction. CoRR abs/2209.09149 (2022) - [i7]Xiaolei Lu, Tommy W. S. Chow:
Partial sequence labeling with structured Gaussian Processes. CoRR abs/2209.09397 (2022) - [i6]Xiaolei Lu, Tommy W. S. Chow:
Weak Disambiguation for Partial Structured Output Learning. CoRR abs/2209.09410 (2022) - [i5]Xiaolei Lu, Tommy W. S. Chow:
Modeling sequential annotations for sequence labeling with crowds. CoRR abs/2209.09430 (2022) - 2021
- [j179]Yang Zhao, Tommy W. S. Chow:
Opinion subset selection via submodular maximization. Inf. Sci. 560: 283-306 (2021) - [j178]Yang Zhao, Tommy W. S. Chow:
Monotone submodular subset for sentiment analysis of online reviews. Neural Comput. Appl. 33(19): 12381-12396 (2021) - [j177]Jianghong Ma, Haijun Zhang, Tommy W. S. Chow:
Multilabel Classification With Label-Specific Features and Classifiers: A Coarse- and Fine-Tuned Framework. IEEE Trans. Cybern. 51(2): 1028-1042 (2021) - [j176]Yu Wang, Long He, Shan Jiang, Tommy W. S. Chow:
Failure Prediction of Hard Disk Drives Based on Adaptive Rao-Blackwellized Particle Filter Error Tracking Method. IEEE Trans. Ind. Informatics 17(2): 913-921 (2021) - [j175]Yu Wang, Yizhen Peng, Tommy W. S. Chow:
Adaptive Particle Filter-Based Approach for RUL Prediction Under Uncertain Varying Stresses With Application to HDD. IEEE Trans. Ind. Informatics 17(9): 6272-6281 (2021) - [j174]Xiaolei Lu, Tommy W. S. Chow:
Duration Modeling with Semi-Markov Conditional Random Fields for Keyphrase Extraction. IEEE Trans. Knowl. Data Eng. 33(4): 1453-1466 (2021) - 2020
- [j173]Xueli Chen, Mingquan Lin, He Cui, Yimin Chen, Arna van Engelen, Marleen de Bruijne, M. Reza Azarpazhooh, Seyed Mojtaba Sohrevardi, Tommy W. S. Chow, John David Spence, Bernard Chiu:
Three-dimensional ultrasound evaluation of the effects of pomegranate therapy on carotid plaque texture using locality preserving projection. Comput. Methods Programs Biomed. 184: 105276 (2020) - [j172]Jicong Fan, Mingbo Zhao, Tommy W. S. Chow:
Matrix Completion via Sparse Factorization Solved by Accelerated Proximal Alternating Linearized Minimization. IEEE Trans. Big Data 6(1): 119-130 (2020) - [j171]Haijun Zhang, Yanfang Sun, Mingbo Zhao, Tommy W. S. Chow, Q. M. Jonathan Wu:
Bridging User Interest to Item Content for Recommender Systems: An Optimization Model. IEEE Trans. Cybern. 50(10): 4268-4280 (2020) - [j170]Haijun Zhang, Wang Huang, Linlin Liu, Tommy W. S. Chow:
Learning to Match Clothing From Textual Feature-Based Compatible Relationships. IEEE Trans. Ind. Informatics 16(11): 6750-6759 (2020) - [j169]Dawei Li, Siyuan Yan, Mingbo Zhao, Tommy W. S. Chow:
Spatiotemporal Tree Filtering for Enhancing Image Change Detection. IEEE Trans. Image Process. 29: 8805-8820 (2020) - [j168]Hadrien Van Lierde, Tommy W. S. Chow, Guanrong Chen:
Scalable Spectral Clustering for Overlapping Community Detection in Large-Scale Networks. IEEE Trans. Knowl. Data Eng. 32(4): 754-767 (2020) - [j167]Jicong Fan, Tommy W. S. Chow:
Exactly Robust Kernel Principal Component Analysis. IEEE Trans. Neural Networks Learn. Syst. 31(3): 749-761 (2020)
2010 – 2019
- 2019
- [j166]Hadrien Van Lierde, Tommy W. S. Chow, Jean-Charles Delvenne:
Spectral clustering algorithms for the detection of clusters in block-cyclic and block-acyclic graphs. J. Complex Networks 7(1): 1-53 (2019) - [j165]Yuzhu Ji, Haijun Zhang, Kuo-Kun Tseng, Tommy W. S. Chow, Q. M. Jonathan Wu:
Graph model-based salient object detection using objectness and multiple saliency cues. Neurocomputing 323: 188-202 (2019) - [j164]Hadrien Van Lierde, Tommy W. S. Chow:
Query-oriented text summarization based on hypergraph transversals. Inf. Process. Manag. 56(4): 1317-1338 (2019) - [j163]Hadrien Van Lierde, Tommy W. S. Chow:
Learning with fuzzy hypergraphs: A topical approach to query-oriented text summarization. Inf. Sci. 496: 212-224 (2019) - [j162]Mingbo Zhao, Zhaoyang Tian, Tommy W. S. Chow:
Fault diagnosis on wireless sensor network using the neighborhood kernel density estimation. Neural Comput. Appl. 31(8): 4019-4030 (2019) - [j161]Jianghong Ma, Tommy W. S. Chow:
Label-specific feature selection and two-level label recovery for multi-label classification with missing labels. Neural Networks 118: 110-126 (2019) - [j160]Xiaohang Jin, Jicong Fan, Tommy W. S. Chow:
Fault Detection for Rolling-Element Bearings Using Multivariate Statistical Process Control Methods. IEEE Trans. Instrum. Meas. 68(9): 3128-3136 (2019) - [j159]Ang Yang, Yu Wang, Yanyang Zi, Tommy W. S. Chow:
An Enhanced Trace Ratio Linear Discriminant Analysis for Fault Diagnosis: An Illustrated Example Using HDD Data. IEEE Trans. Instrum. Meas. 68(12): 4629-4639 (2019) - [j158]Jianghong Ma, Tommy W. S. Chow:
Topic-Based Algorithm for Multilabel Learning With Missing Labels. IEEE Trans. Neural Networks Learn. Syst. 30(7): 2138-2152 (2019) - [c34]Yizhen Peng, Yu Wang, Tommy W. S. Chow:
Adaptive Remaining Useful Lifetime Prediction of Magnetic Head under Varying Stress Conditions. INDIN 2019: 1271-1274 - [c33]Yu Wang, Shan Jiang, Long He, Yizhen Peng, Tommy W. S. Chow:
Hard Disk Drives Failure Detection Using A Dynamic Tracking Method. INDIN 2019: 1473-1477 - [c32]Xiaolei Lu, Tommy W. S. Chow, Haijun Zhang:
Piecewise Large Margin Learning for Partially Annotated Sequences. INDIN 2019: 1483-1487 - [i4]Hadrien Van Lierde, Tommy W. S. Chow:
Query-oriented text summarization based on hypergraph transversals. CoRR abs/1902.00672 (2019) - [i3]Hadrien Van Lierde, Tommy W. S. Chow:
Learning with fuzzy hypergraphs: a topical approach to query-oriented text summarization. CoRR abs/1906.09445 (2019) - 2018
- [j157]Jianghong Ma, Tommy W. S. Chow:
Robust non-negative sparse graph for semi-supervised multi-label learning with missing labels. Inf. Sci. 422: 336-351 (2018) - [j156]Jicong Fan, Zhaoyang Tian, Mingbo Zhao, Tommy W. S. Chow:
Accelerated low-rank representation for subspace clustering and semi-supervised classification on large-scale data. Neural Networks 100: 39-48 (2018) - [j155]Jicong Fan, Tommy W. S. Chow, Mingbo Zhao, John K. L. Ho:
Nonlinear Dimensionality Reduction for Data with Disconnected Neighborhood Graph. Neural Process. Lett. 47(2): 697-716 (2018) - [j154]Jicong Fan, Tommy W. S. Chow:
Non-linear matrix completion. Pattern Recognit. 77: 378-394 (2018) - [j153]Haijun Zhang, Shuang Wang, Xiaofei Xu, Tommy W. S. Chow, Q. M. Jonathan Wu:
Tree2Vector: Learning a Vectorial Representation for Tree-Structured Data. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5304-5318 (2018) - [i2]Jicong Fan, Tommy W. S. Chow:
Exactly Robust Kernel Principal Component Analysis. CoRR abs/1802.10558 (2018) - [i1]Hadrien Van Lierde, Tommy W. S. Chow, Jean-Charles Delvenne:
Spectral clustering algorithms for the detection of clusters in block-cyclic and block-acyclic graphs. CoRR abs/1805.00862 (2018) - 2017
- [j152]Jicong Fan, Tommy W. S. Chow:
Deep learning based matrix completion. Neurocomputing 266: 540-549 (2017) - [j151]Jianghong Ma, Zhaoyang Tian, Haijun Zhang, Tommy W. S. Chow:
Multi-Label Low-dimensional Embedding with Missing Labels. Knowl. Based Syst. 137: 65-82 (2017) - [j150]Jicong Fan, Tommy W. S. Chow:
Sparse subspace clustering for data with missing entries and high-rank matrix completion. Neural Networks 93: 36-44 (2017) - [j149]Jicong Fan, Tommy W. S. Chow:
Matrix completion by least-square, low-rank, and sparse self-representations. Pattern Recognit. 71: 290-305 (2017) - [j148]Mingbo Zhao, Tommy W. S. Chow, Peng Tang, Zengfu Wang, Jun Guo, Moshe Zukerman:
Route Selection for Cabling Considering Cost Minimization and Earthquake Survivability Via a Semi-Supervised Probabilistic Model. IEEE Trans. Ind. Informatics 13(2): 502-511 (2017) - [j147]Haijun Zhang, Xiong Cao, John K. L. Ho, Tommy W. S. Chow:
Object-Level Video Advertising: An Optimization Framework. IEEE Trans. Ind. Informatics 13(2): 520-531 (2017) - [c31]Mingbo Zhao, Tommy W. S. Chow, Haijun Zhang, Yan Li:
Rolling fault diagnosis via robust semi-supervised model with capped l2, 1-norm regularization. ICIT 2017: 1064-1069 - [c30]Dong Yang, Tommy W. S. Chow, Yichao Zhang, Guanrong Chen:
An exponential triangle model for the Facebook network based on big data. INDIN 2017: 992-996 - [c29]Hadrien Van Lierde, Tommy W. S. Chow:
Incorporating word embeddings in the hierarchical dirichlet process for query-oriented text summarization. INDIN 2017: 1037-1042 - [c28]Cong-Sheng Huang, Tommy Wai-Shing Chow, Mo-Yuen Chow:
Li-ion battery parameter identification with low pass filter for measurement noise rejection. ISIE 2017: 2075-2080 - [c27]Mingquan Lin, Weifu Chen, Mingbo Zhao, Eli Gibson, Matthew Bastian-Jordan, Derek W. Cool, Zahra Kassam, Tommy W. S. Chow, Aaron D. Ward, Bernard Chiu:
Prostate lesion detection and localization based on locality alignment discriminant analysis. Computer-Aided Diagnosis 2017: 101344A - 2016
- [j146]Wenlong Cheng, Tommy W. S. Chow, Ming-Bo Zhao:
Locality Constrained-ℓp Sparse Subspace Clustering for Image Clustering. Neurocomputing 205: 22-31 (2016) - [j145]Peng Tang, Ming-Bo Zhao, Tommy W. S. Chow:
Locality Alignment Discriminant Analysis for Visualizing Regional English. Neural Process. Lett. 43(1): 295-307 (2016) - [j144]Peng Tang, Tommy W. S. Chow:
Wireless Sensor-Networks Conditions Monitoring and Fault Diagnosis Using Neighborhood Hidden Conditional Random Field. IEEE Trans. Ind. Informatics 12(3): 933-940 (2016) - [j143]Xiaohang Jin, Yi Sun, Zijun Que, Yu Wang, Tommy W. S. Chow:
Anomaly Detection and Fault Prognosis for Bearings. IEEE Trans. Instrum. Meas. 65(9): 2046-2054 (2016) - [j142]Haijun Zhang, Tommy W. S. Chow, Q. M. Jonathan Wu:
Organizing Books and Authors by Multilayer SOM. IEEE Trans. Neural Networks Learn. Syst. 27(12): 2537-2550 (2016) - [j141]Zhao Zhang, Fanzhang Li, Tommy W. S. Chow, Li Zhang, Shuicheng Yan:
Sparse Codes Auto-Extractor for Classification: A Joint Embedding and Dictionary Learning Framework for Representation. IEEE Trans. Signal Process. 64(14): 3790-3805 (2016) - [c26]Mingbo Zhao, Tommy W. S. Chow, Kim Fung Tsang:
Vehicle route planning for logistics network optimization via multiple spanning tree. INDIN 2016: 800-805 - 2015
- [j140]Min Wei, Tommy W. S. Chow, Rosa H. M. Chan:
Clustering Heterogeneous Data with k-Means by Mutual Information-Based Unsupervised Feature Transformation. Entropy 17(3): 1535-1548 (2015) - [j139]Min Wei, Tommy W. S. Chow, Rosa H. M. Chan:
Heterogeneous feature subset selection using mutual information-based feature transformation. Neurocomputing 168: 706-718 (2015) - [j138]Ming-Bo Zhao, Tommy W. S. Chow, Zhou Wu, Zhao Zhang, Bing Li:
Learning from normalized local and global discriminative information for semi-supervised regression and dimensionality reduction. Inf. Sci. 324: 286-309 (2015) - [j137]Ming-Bo Zhao, Tommy W. S. Chow, Zhao Zhang, Bing Li:
Automatic image annotation via compact graph based semi-supervised learning. Knowl. Based Syst. 76: 148-165 (2015) - [j136]Zhao Zhang, Ming-Bo Zhao, Tommy W. S. Chow:
Graph Based Constrained Semi-Supervised Learning Framework via Label Propagation over Adaptive Neighborhood. IEEE Trans. Knowl. Data Eng. 27(9): 2362-2376 (2015) - [j135]Qingyao Wu, Yunming Ye, Haijun Zhang, Tommy W. S. Chow, Shen-Shyang Ho:
ML-TREE: A Tree-Structure-Based Approach to Multilabel Learning. IEEE Trans. Neural Networks Learn. Syst. 26(3): 430-443 (2015) - [j134]Lu Xu, Tommy W. S. Chow, Eden W. M. Ma:
Topology-Based Clustering Using Polar Self-Organizing Map. IEEE Trans. Neural Networks Learn. Syst. 26(4): 798-808 (2015) - [j133]Xiaohang Jin, Tommy W. S. Chow, Yi Sun, Jihong Shan, Bill C. P. Lau:
Kuiper test and autoregressive model-based approach for wireless sensor network fault diagnosis. Wirel. Networks 21(3): 829-839 (2015) - [c25]Mingbo Zhao, Tommy W. S. Chow:
Wireless sensor network fault detection via semi-supervised local kernel density estimation. ICIT 2015: 1495-1500 - [c24]Peng Tang, Tommy W. S. Chow:
Wireless sensor network faulty scenes diagnosis using high dimensional Neighborhood Hidden Conditional Random Field. INDIN 2015: 1130-1135 - 2014
- [j132]Ming-Bo Zhao, Zhao Zhang, Tommy W. S. Chow, Bing Li:
Soft label based Linear Discriminant Analysis for image recognition and retrieval. Comput. Vis. Image Underst. 121: 86-99 (2014) - [j131]Xiaohang Jin, Fang Yuan, Tommy W. S. Chow, Ming-Bo Zhao:
Weighted local and global regressive mapping: A new manifold learning method for machine fault classification. Eng. Appl. Artif. Intell. 30: 118-128 (2014) - [j130]Bill C. P. Lau, Eden W. M. Ma, Tommy W. S. Chow:
Probabilistic fault detector for Wireless Sensor Network. Expert Syst. Appl. 41(8): 3703-3711 (2014) - [j129]Peng Tang, Tommy W. S. Chow:
Mining language variation using word using and collocation characteristics. Expert Syst. Appl. 41(17): 7805-7819 (2014) - [j128]Bing Li, Tommy W. S. Chow, Peng Tang:
Analyzing rough set based attribute reductions by extension rule. Neurocomputing 123: 185-196 (2014) - [j127]Peng Tang, Ming-Bo Zhao, Tommy W. S. Chow:
Text style analysis using trace ratio criterion patch alignment embedding. Neurocomputing 136: 201-212 (2014) - [j126]Ming-Bo Zhao, Zhao Zhang, Tommy W. S. Chow, Bing Li:
A general soft label based Linear Discriminant Analysis for semi-supervised dimensionality reduction. Neural Networks 55: 83-97 (2014) - [j125]Ming-Bo Zhao, Rosa H. M. Chan, Tommy W. S. Chow, Peng Tang:
Compact Graph based Semi-Supervised Learning for Medical Diagnosis in Alzheimer's Disease. IEEE Signal Process. Lett. 21(10): 1192-1196 (2014) - [j124]Yuan Gao, Rosa H. M. Chan, Tommy W. S. Chow, Liyun Zhang, Sylvia Bonilla, Chi-Pui Pang, Mingzhi Zhang, Yuk Fai Leung:
A High-Throughput Zebrafish ScreeningMethod for Visual Mutants by Light-Induced Locomotor Response. IEEE ACM Trans. Comput. Biol. Bioinform. 11(4): 693-701 (2014) - [j123]Xiaohang Jin, Ming-Bo Zhao, Tommy W. S. Chow, Michael G. Pecht:
Motor Bearing Fault Diagnosis Using Trace Ratio Linear Discriminant Analysis. IEEE Trans. Ind. Electron. 61(5): 2441-2451 (2014) - [j122]Yu Wang, Eden W. M. Ma, Tommy W. S. Chow, Kwok-Leung Tsui:
A Two-Step Parametric Method for Failure Prediction in Hard Disk Drives. IEEE Trans. Ind. Informatics 10(1): 419-430 (2014) - [c23]Zhao Zhang, Ming-Bo Zhao, Tommy W. S. Chow:
Label propagation and soft-similarity measure for graph based Constrained Semi-Supervised Learning. IJCNN 2014: 2927-2934 - 2013
- [j121]Zhao Zhang, Tommy W. S. Chow, Ning Ye:
Semisupervised Multimodal Dimensionality Reduction. Comput. Intell. 29(1): 70-110 (2013) - [j120]Bing Li, Guanrong Chen, Tommy W. S. Chow:
Naming Game with Multiple Hearers. Commun. Nonlinear Sci. Numer. Simul. 18(5): 1214-1228 (2013) - [j119]Peng Tang, Tommy W. S. Chow:
Recognition of word collocation habits using frequency rank ratio and inter-term intimacy. Expert Syst. Appl. 40(11): 4301-4314 (2013) - [j118]Xiaohang Jin, Tommy W. S. Chow:
Anomaly detection of cooling fan and fault classification of induction motor using Mahalanobis-Taguchi system. Expert Syst. Appl. 40(15): 5787-5795 (2013) - [j117]Zhou Wu, Tommy W. S. Chow, Shi Cheng, Yuhui Shi:
Contour Gradient Optimization. Int. J. Swarm Intell. Res. 4(2): 1-28 (2013) - [j116]Xiao-Dong Li, Tommy W. S. Chow, L. L. Cheng:
Adaptive iterative learning control of non-linear MIMO continuous systems with iteration-varying initial error and reference trajectory. Int. J. Syst. Sci. 44(4): 786-794 (2013) - [j115]Bing Li, Tommy W. S. Chow, Di Huang:
A novel feature selection method and its application. J. Intell. Inf. Syst. 41(2): 235-268 (2013) - [j114]Zhou Wu, Tommy W. S. Chow:
Neighborhood field for cooperative optimization. Soft Comput. 17(5): 819-834 (2013) - [j113]Ming-Bo Zhao, Rosa H. M. Chan, Peng Tang, Tommy W. S. Chow, Savio W. H. Wong:
Trace Ratio Linear Discriminant Analysis for Medical Diagnosis: A Case Study of Dementia. IEEE Signal Process. Lett. 20(5): 431-434 (2013) - [j112]Zhao Zhang, Tommy W. S. Chow, Ming-Bo Zhao:
M-Isomap: Orthogonal Constrained Marginal Isomap for Nonlinear Dimensionality Reduction. IEEE Trans. Cybern. 43(1): 180-191 (2013) - [j111]Zhao Zhang, Tommy W. S. Chow, Ming-Bo Zhao:
Trace Ratio Optimization-Based Semi-Supervised Nonlinear Dimensionality Reduction for Marginal Manifold Visualization. IEEE Trans. Knowl. Data Eng. 25(5): 1148-1161 (2013) - [j110]Zhao Zhang, Ming-Bo Zhao, Tommy W. S. Chow:
Binary- and Multi-class Group Sparse Canonical Correlation Analysis for Feature Extraction and Classification. IEEE Trans. Knowl. Data Eng. 25(10): 2192-2205 (2013) - 2012
- [j109]Zhao Zhang, Tommy W. S. Chow:
Maximum Margin Multisurface Support Tensor Machines with application to image classification and segmentation. Expert Syst. Appl. 39(1): 849-860 (2012) - [j108]Haijun Zhang, Tommy W. S. Chow:
A multi-level matching method with hybrid similarity for document retrieval. Expert Syst. Appl. 39(3): 2710-2719 (2012) - [j107]Zhao Zhang, Tommy W. S. Chow:
Robust linearly optimized discriminant analysis. Neurocomputing 79: 140-157 (2012) - [j106]Zhao Zhang, Ming-Bo Zhao, Tommy W. S. Chow:
Marginal semi-supervised sub-manifold projections with informative constraints for dimensionality reduction and recognition. Neural Networks 36: 97-111 (2012) - [j105]Ming-Bo Zhao, Zhao Zhang, Tommy W. S. Chow:
Trace ratio criterion based generalized discriminative learning for semi-supervised dimensionality reduction. Pattern Recognit. 45(4): 1482-1499 (2012) - [j104]Haijun Zhang, Q. M. Jonathan Wu, Tommy W. S. Chow, Ming-Bo Zhao:
A two-dimensional Neighborhood Preserving Projection for appearance-based face recognition. Pattern Recognit. 45(5): 1866-1876 (2012) - [j103]Zhao Zhang, Ming-Bo Zhao, Tommy W. S. Chow:
Constrained large Margin Local Projection algorithms and extensions for multimodal dimensionality reduction. Pattern Recognit. 45(12): 4466-4493 (2012) - [j102]Ming-Bo Zhao, Tommy W. S. Chow, Zhao Zhang:
Random walk-based fuzzy linear discriminant analysis for dimensionality reduction. Soft Comput. 16(8): 1393-1409 (2012) - [j101]Wenbin Wang, Matthew J. Carr, Tommy W. S. Chow, Michael G. Pecht:
A Two-Level Inspection Model With Technological Insertions. IEEE Trans. Reliab. 61(2): 479-490 (2012) - [c22]Zhou Wu, Lu Xu, Tommy W. S. Chow, Ming-Bo Zhao:
Local cooperation delivers global optimization. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c21]Ming-Bo Zhao, Zhao Zhang, Tommy W. S. Chow:
On the Theoretical and Computational Analysis between SDA and Lap-LDA. ICTAI 2012: 122-129 - [c20]Zhao Zhang, Ming-Bo Zhao, Tommy W. S. Chow:
Extracting the informative constraints for semi-supervised marginal projections in multimodal dimensionality reduction. IJCNN 2012: 1-8 - [c19]Ming-Bo Zhao, Zhao Zhang, Tommy W. S. Chow, Zhou Wu:
On the theoretical and computational analysis between Trace Ratio LDA and null-space LDA. IJCNN 2012: 1-7 - 2011
- [j100]Yang Xu, Lu Xu, Tommy W. S. Chow:
PPoSOM: A new variant of PolSOM by using probabilistic assignment for multidimensional data visualization. Neurocomputing 74(11): 2018-2027 (2011) - [j99]Tommy W. S. Chow, John Sum:
Guest editorial: special issue on the emerging applications of neural networks. Neural Comput. Appl. 20(7): 923-924 (2011) - [j98]Haijun Zhang, Tommy W. S. Chow:
A coarse-to-fine framework to efficiently thwart plagiarism. Pattern Recognit. 44(2): 471-487 (2011) - [j97]Zhao Zhang, Tommy W. S. Chow:
Tensor Locally Linear Discriminative Analysis. IEEE Signal Process. Lett. 18(11): 643-646 (2011) - [j96]Haijun Zhang, Gang Liu, Tommy W. S. Chow, Wenyin Liu:
Textual and Visual Content-Based Anti-Phishing: A Bayesian Approach. IEEE Trans. Neural Networks 22(10): 1532-1546 (2011) - [c18]Ming-Bo Zhao, Zhao Zhang, Tommy W. S. Chow:
ITR-Score algorithm: An efficient Trace ratio criterion based algorithm for supervised dimensionality reduction. IJCNN 2011: 145-152 - 2010
- [j95]M. K. M. Rahman, Tommy W. S. Chow:
Content-based hierarchical document organization using multi-layer hybrid network and tree-structured features. Expert Syst. Appl. 37(4): 2874-2881 (2010) - [j94]Haijun Zhang, Tommy W. S. Chow, M. K. M. Rahman:
A novel dual wing harmonium model aided by 2-D wavelet transform subbands for document data mining. Expert Syst. Appl. 37(6): 4403-4412 (2010) - [j93]Lu Xu, Yang Xu, Tommy W. S. Chow:
PolSOM: A new method for multidimensional data visualization. Pattern Recognit. 43(4): 1668-1675 (2010) - [j92]Sachin Kumar, Tommy W. S. Chow, Michael G. Pecht:
Approach to Fault Identification for Electronic Products Using Mahalanobis Distance. IEEE Trans. Instrum. Meas. 59(8): 2055-2064 (2010) - [j91]Lu Xu, Tommy W. S. Chow:
Self-organizing potential field network: a new optimization algorithm. IEEE Trans. Neural Networks 21(9): 1482-1495 (2010) - [c17]Lu Xu, Tommy W. S. Chow:
High Dimensional Data Classification by the PolSOM Algorithm. DMIN 2010: 308-312 - [c16]M. K. M. Rahman, Tommy W. S. Chow, Siu-Yeung Cho:
A segmentation based approach for shape recovery from multi-color images. ICARCV 2010: 659-663
2000 – 2009
- 2009
- [j90]Xiaodong Li, Tommy W. S. Chow, John K. L. Ho:
Quasi-sliding mode based repetitive control for nonlinear continuous-time systems with rejection of periodic disturbances. Autom. 45(1): 103-108 (2009) - [j89]Zhaohui Gan, Tommy W. S. Chow, W. N. Chau:
Clone selection programming and its application to symbolic regression. Expert Syst. Appl. 36(2): 3996-4005 (2009) - [j88]P. Y. Wang, Tommy W. S. Chow, Chris W. F. Chiu:
Computational accounting in determining Chart of Accounts using nominal data analysis and concept of entropy. Expert Syst. Appl. 36(3): 6966-6977 (2009) - [j87]Zhaohui Gan, Ming-Bo Zhao, Tommy W. S. Chow:
Induction machine fault detection using clone selection programming. Expert Syst. Appl. 36(4): 8000-8012 (2009) - [j86]Tommy W. S. Chow, Haijun Zhang, M. K. M. Rahman:
A new document representation using term frequency and vectorized graph connectionists with application to document retrieval. Expert Syst. Appl. 36(10): 12023-12035 (2009) - [j85]Haijun Zhang, Tommy W. S. Chow, M. K. M. Rahman:
A new dual wing harmonium model for document retrieval. Pattern Recognit. 42(11): 2950-2960 (2009) - [j84]Tommy W. S. Chow, M. K. M. Rahman:
Multilayer SOM With Tree-Structured Data for Efficient Document Retrieval and Plagiarism Detection. IEEE Trans. Neural Networks 20(9): 1385-1402 (2009) - [c15]Yang Xu, Lu Xu, Tommy W. S. Chow, Anthony Shi-Sheung Fong:
PPoSOM: A Multidimensional Data Visualization Using Probabilistic Assignment Based on Polar SOM. ICONIP (1) 2009: 212-220 - 2008
- [j83]Di Huang, Zhaohui Gan, Tommy W. S. Chow:
Enhanced feature selection models using gradient-based and point injection techniques. Neurocomputing 71(16-18): 3114-3123 (2008) - [j82]Xiaodong Li, Tommy W. S. Chow, John K. L. Ho:
Iterative learning control for a class of nonlinear discrete-time systems with multiple input delays. Int. J. Syst. Sci. 39(4): 361-369 (2008) - [j81]Tommy W. S. Chow, Piyang Wang, Eden W. M. Ma:
A New Feature Selection Scheme Using a Data Distribution Factor for Unsupervised Nominal Data. IEEE Trans. Syst. Man Cybern. Part B 38(2): 499-509 (2008) - [j80]Zhaohui Gan, Tommy W. S. Chow, Di Huang:
Effective Gene Selection Method Using Bayesian Discriminant Based Criterion and Genetic Algorithms. J. Signal Process. Syst. 50(3): 293-304 (2008) - [p2]Tommy W. S. Chow, Di Huang:
Data Reduction for Pattern Recognition and Data Analysis. Computational Intelligence: A Compendium 2008: 81-109 - [p1]Di Huang, Tommy W. S. Chow:
Towards the Enhancement of Gene Selection Performance. Computational Intelligence in Bioinformatics 2008: 219-236 - 2007
- [b1]Tommy W. S. Chow, Siu-Yeung Cho:
Neural Networks and Computing - Learning Algorithms and Applications. Series in Electrical and Computer Engineering 7, WorldScientific 2007, ISBN 978-1-86094-758-2, pp. 1-324 - [j79]Di Huang, Tommy W. S. Chow:
Identifying the biologically relevant gene categories based on gene expression and biological data: an example on prostate cancer. Bioinform. 23(12): 1503-1510 (2007) - [j78]Tommy W. S. Chow, M. K. M. Rahman:
A new image classification technique using tree-structured regional features. Neurocomputing 70(4-6): 1040-1050 (2007) - [j77]Di Huang, Tommy W. S. Chow:
Improving the effectiveness of RBF classifier based on a hybrid cost function. Neural Comput. Appl. 16(4-5): 395-405 (2007) - [j76]M. K. M. Rahman, Wang Pi Yang, Tommy W. S. Chow, Sitao Wu:
A flexible multi-layer self-organizing map for generic processing of tree-structured data. Pattern Recognit. 40(5): 1406-1424 (2007) - [j75]Di Huang, Tommy W. S. Chow:
Effective Gene Selection Method With Small Sample Sets Using Gradient-Based and Point Injection Techniques. IEEE ACM Trans. Comput. Biol. Bioinform. 4(3): 467-475 (2007) - [j74]Xiaodong Li, Tommy W. S. Chow, John K. L. Ho, Hongzhou Tan:
Repetitive Learning Control of Nonlinear Continuous-Time Systems Using Quasi-Sliding Mode. IEEE Trans. Control. Syst. Technol. 15(2): 369-374 (2007) - [j73]Sitao Wu, Tommy W. S. Chow:
Self-Organizing and Self-Evolving Neurons: A New Neural Network for Optimization. IEEE Trans. Neural Networks 18(2): 385-396 (2007) - [c14]Piyang Wang, Tommy W. S. Chow:
A new feature selection scheme using data distribution factor for transactional data. ESANN 2007: 169-174 - 2006
- [j72]Siu-Yeung Cho, Tommy W. S. Chow:
Robust face recognition using generalized neural reflectance model. Neural Comput. Appl. 15(2): 170-182 (2006) - [j71]Sitao Wu, Tommy W. S. Chow, Kai Tat Ng, Kim Fung Tsang:
Improvement of borrowing channel assignment for patterned traffic load by online cellular probabilistic self-organizing map. Neural Comput. Appl. 15(3-4): 298-309 (2006) - [j70]Di Huang, Tommy W. S. Chow:
Enhancing Density-Based Data Reduction Using Entropy. Neural Comput. 18(2): 470-495 (2006) - [j69]Sitao Wu, Tommy W. S. Chow, Kai Tat Ng:
Using Cellular Probabilistic Self-Organizing Map in Borrowing Channel Assignment for Patterned Traffic Load. Neural Process. Lett. 23(1): 71-88 (2006) - [j68]Tommy W. S. Chow, M. K. M. Rahman:
Face Matching in Large Database by Self-Organizing Maps. Neural Process. Lett. 23(3): 305-323 (2006) - [j67]Tommy W. S. Chow, M. K. M. Rahman, Sitao Wu:
Content-based image retrieval by using tree-structured features and multi-layer self-organizing map. Pattern Anal. Appl. 9(1): 1-20 (2006) - [c13]Di Huang, Tommy W. S. Chow:
An Excellent Feature Selection Model Using Gradient-Based and Point Injection Techniques. ICONIP (2) 2006: 679-692 - [c12]Sitao Wu, Tommy W. S. Chow, Di Huang:
Visualization of Induction Machine Fault Detection Using Self-Organizing Map and Support Vector Machine. IPCV 2006: 138-144 - [c11]Yong Fang, Tommy W. S. Chow:
Wavelets Based Neural Network for Function Approximation. ISNN (1) 2006: 80-85 - 2005
- [j66]Xiaodong Li, John K. L. Ho, Tommy W. S. Chow:
An iterative learning control method and mathematical model for robotic manipulation at undesired locations. Int. J. Comput. Integr. Manuf. 18(6): 480-486 (2005) - [j65]Di Huang, Tommy W. S. Chow:
Effective feature selection scheme using mutual information. Neurocomputing 63: 325-343 (2005) - [j64]Sitao Wu, M. K. M. Rahman, Tommy W. S. Chow:
Content-based image retrieval using growing hierarchical self-organizing quadtree map. Pattern Recognit. 38(5): 707-722 (2005) - [j63]Di Huang, Tommy W. S. Chow:
Efficiently searching the important input variables using Bayesian discriminant. IEEE Trans. Circuits Syst. I Regul. Pap. 52-I(4): 785-793 (2005) - [j62]Xiaodong Li, Tommy W. S. Chow, John K. L. Ho:
2-D system theory based iterative learning control for linear continuous systems with time delays. IEEE Trans. Circuits Syst. I Regul. Pap. 52-I(7): 1421-1430 (2005) - [j61]Di Huang, Tommy W. S. Chow, Eden W. M. Ma, Jinyan Li:
Efficient selection of discriminative genes from microarray gene expression data for cancer diagnosis. IEEE Trans. Circuits Syst. I Regul. Pap. 52-I(9): 1909-1918 (2005) - [j60]Xiaodong Li, John K. L. Ho, Tommy W. S. Chow:
Approximation of dynamical time-variant systems by continuous-time recurrent neural networks. IEEE Trans. Circuits Syst. II Express Briefs 52-II(10): 656-660 (2005) - [j59]Yong Fang, Tommy W. S. Chow:
Nonlinear dynamical systems control using a new RNN temporal learning strategy. IEEE Trans. Circuits Syst. II Express Briefs 52-II(11): 719-723 (2005) - [j58]Tommy W. S. Chow, Di Huang:
Estimating optimal feature subsets using efficient estimation of high-dimensional mutual information. IEEE Trans. Neural Networks 16(1): 213-224 (2005) - [j57]Sitao Wu, Tommy W. S. Chow:
PRSOM: a new visualization method by hybridizing multidimensional scaling and self-organizing map. IEEE Trans. Neural Networks 16(6): 1362-1380 (2005) - 2004
- [j56]Tommy W. S. Chow, Sitao Wu:
Cell-splitting grid: a self-creating and self-organizing neural network. Neurocomputing 57: 373-387 (2004) - [j55]Sitao Wu, Tommy W. S. Chow:
Clustering of the self-organizing map using a clustering validity index based on inter-cluster and intra-cluster density. Pattern Recognit. 37(2): 175-188 (2004) - [j54]Eden W. M. Ma, Tommy W. S. Chow:
A new shifting grid clustering algorithm. Pattern Recognit. 37(3): 503-514 (2004) - [j53]Tommy W. S. Chow, Sitao Wu:
An online cellular probabilistic self-organizing map for static and dynamic data sets. IEEE Trans. Circuits Syst. I Regul. Pap. 51-I(4): 732-747 (2004) - [j52]Sitao Wu, Tommy W. S. Chow:
Induction machine fault detection using SOM-based RBF neural networks. IEEE Trans. Ind. Electron. 51(1): 183-194 (2004) - [j51]Tommy W. S. Chow, Shi Hai:
Induction machine fault diagnostic analysis with wavelet technique. IEEE Trans. Ind. Electron. 51(3): 558-565 (2004) - [c10]Sitao Wu, Tommy W. S. Chow:
Intelligent machine fault detection using SOM based RBF neural networks. IJCNN 2004: 2077-2082 - 2003
- [j50]Bao-Yun Wang, Tommy W. S. Chow, Kai Tat Ng:
Adaptive Identification Algorithms for AR System Driven by Chaotic Sequence. Int. J. Bifurc. Chaos 13(4): 963-972 (2003) - [j49]Sitao Wu, Tommy W. S. Chow:
Self-Organizing-Map Based Clustering Using a Local Clustering Validity Index. Neural Process. Lett. 17(3): 253-271 (2003) - [j48]Di Huang, Tommy W. S. Chow:
A People-Counting System Using a Hybrid RBF Neural Network. Neural Process. Lett. 18(2): 97-113 (2003) - [c9]Di Huang, Tommy W. S. Chow:
Searching optimal feature subset using mutual information. ESANN 2003: 161-166 - [c8]Sitao Wu, Tommy W. S. Chow:
Support vector visualization and clustering using self-organizing map and vector one-class classification. IJCNN 2003: 803-808 - 2002
- [j47]Tommy W. S. Chow, Siu-Yeung Cho:
Industrial neural vision system for underground railway station platform surveillance. Adv. Eng. Informatics 16(1): 73-83 (2002) - [j46]Siu-Yeung Cho, Tommy W. S. Chow:
A New Color 3D SFS Methodology Using Neural-Based Color Reflectance Models and Iterative Recursive Method. Neural Comput. 14(11): 2751-2789 (2002) - [j45]Siu-Yeung Cho, Tommy W. S. Chow, Kai Tat Ng:
Shape From Shading by Using Neural Based Colour Reflectance Model. Neural Process. Lett. 16(2): 121-136 (2002) - [j44]Tommy W. S. Chow, Sitao Wu:
Piecewise Linear Projection Based on Self Organizing Map. Neural Process. Lett. 16(2): 151-163 (2002) - 2001
- [j43]Chi-Tat Leung, Tommy W. S. Chow:
Least third-order cumulant method with adaptive regularization parameter selection for neural networks. Artif. Intell. 127(2): 169-197 (2001) - [j42]Tommy W. S. Chow, Jiu-Chao Feng, K. T. Ng:
Chaotic network synchronization with application to communications. Int. J. Commun. Syst. 14(2): 217-230 (2001) - [j41]Siu-Yeung Cho, Tommy W. S. Chow:
Enhanced 3D Shape Recovery Using the Neural-Based Hybrid Reflectance Model. Neural Comput. 13(11): 2617-2637 (2001) - [j40]Jim Y. F. Yam, Tommy W. S. Chow:
Feedforward networks training speed enhancement by optimal initialization of the synaptic coefficients. IEEE Trans. Neural Networks 12(2): 430-434 (2001) - [j39]Siu-Yeung Cho, Tommy W. S. Chow:
Neural computation approach for developing a 3D shape reconstruction model. IEEE Trans. Neural Networks 12(5): 1204-1214 (2001) - 2000
- [j38]Jim Y. F. Yam, Tommy W. S. Chow:
A weight initialization method for improving training speed in feedforward neural network. Neurocomputing 30(1-4): 219-232 (2000) - [j37]Tommy W. S. Chow, Yong Fang:
Two-dimensional learning strategy for multilayer feedforward neural network. Neurocomputing 34(1-4): 195-206 (2000) - [j36]Yong Fang, Tommy W. S. Chow:
Synthesis of the sliding-mode neural network controller for unknown nonlinear discrete-time systems. Int. J. Syst. Sci. 31(3): 401-408 (2000) - [j35]Siu-Yeung Cho, Tommy W. S. Chow:
Shape and surface measurement technology by an improved shape-from-shading neural algorithm. IEEE Trans. Ind. Electron. 47(1): 225-230 (2000) - [j34]Tommy W. S. Chow, Xiao-Dong Li, Yong Fang:
A real-time learning control approach for nonlinear continuous-time system using recurrent neural networks. IEEE Trans. Ind. Electron. 47(2): 478-486 (2000) - [j33]Hongzhou Tan, Tommy W. S. Chow:
Blind identification of quadratic nonlinear models using neural networks with higher order cumulants. IEEE Trans. Ind. Electron. 47(3): 687-696 (2000) - [j32]Tommy W. S. Chow, Hongzhou Tan:
HOS-based nonparametric and parametric methodologies for machine fault detection. IEEE Trans. Ind. Electron. 47(5): 1051-1059 (2000) - [j31]Siu-Yeung Cho, Tommy W. S. Chow:
A neural-learning-based reflectance model for 3-D shape reconstruction. IEEE Trans. Ind. Electron. 47(6): 1346-1350 (2000) - [j30]Siu-Yeung Cho, Tommy W. S. Chow:
Learning parametric specular reflectance model by radial basis function network. IEEE Trans. Neural Networks Learn. Syst. 11(6): 1498-1503 (2000)
1990 – 1999
- 1999
- [j29]Tommy W. S. Chow, Jim Y. F. Yam, Siu-Yeung Cho:
Fast training algorithm for feedforward neural networks: application to crowd estimation at underground stations. Artif. Intell. Eng. 13(3): 301-307 (1999) - [j28]Chi-Tat Leung, Tommy W. S. Chow:
Adaptive Regularization Parameter Selection Method for Enhancing Generalization Capability of Neural Networks. Artif. Intell. 107(2): 347-356 (1999) - [j27]Siu-Yeung Cho, Tommy W. S. Chow:
Training multilayer neural networks using fast global learning algorithm - least-squares and penalized optimization methods. Neurocomputing 25(1-3): 115-131 (1999) - [j26]Siu-Yeung Cho, Tommy W. S. Chow:
A Fast Heuristic Global Learning Algorithm for Multilayer Neural Networks. Neural Process. Lett. 9(2): 177-187 (1999) - [j25]Siu-Yeung Cho, Tommy W. S. Chow:
A Fast Neural Learning Vision System for Crowd Estimation at Underground Stations Platform. Neural Process. Lett. 10(2): 111-120 (1999) - [j24]Yong Fang, Tommy W. S. Chow, Kai Tat Ng:
Linear neural network based blind equalization. Signal Process. 76(1): 37-42 (1999) - [j23]Tommy W. S. Chow, Oulian Shuai, Hongzhou Tan:
Correction to "Semiblind Identification of Nonminimum-Phase ARMA Models via Order Recursion with Higher Order Cumulants". IEEE Trans. Ind. Electron. 46(2): 477 (1999) - [j22]Hongzhou Tan, Tommy W. S. Chow:
Blind and total identification of ARMA mode in higher order cumulants domain. IEEE Trans. Ind. Electron. 46(6): 1233-1240 (1999) - [j21]Yong Fang, Tommy W. S. Chow:
Blind equalization of a noisy channel by linear neural network. IEEE Trans. Neural Networks 10(4): 918-924 (1999) - [j20]Siu-Yeung Cho, Tommy W. S. Chow:
Shape recovery from shading by a new neural-based reflectance model. IEEE Trans. Neural Networks 10(6): 1536-1541 (1999) - [j19]Siu-Yeung Cho, Tommy W. S. Chow, Chi-Tat Leung:
A neural-based crowd estimation by hybrid global learning algorithm. IEEE Trans. Syst. Man Cybern. Part B 29(4): 535-541 (1999) - 1998
- [j18]Yong Fang, Tommy W. S. Chow:
Iterative Learning Control of Linear Discrete-Time Multivariable Systems. Autom. 34(11): 1459-1462 (1998) - [j17]Siu-Yeung Cho, Tommy W. S. Chow:
A Layer-by-Layer Least Squares based Recurrent Networks Training Algorithm: Stalling and Escape. Neural Process. Lett. 7(1): 15-25 (1998) - [j16]Tommy W. S. Chow, Yong Fang:
A recurrent neural-network-based real-time learning control strategy applying to nonlinear systems with unknown dynamics. IEEE Trans. Ind. Electron. 45(1): 151-161 (1998) - [j15]Tommy W. S. Chow, Hongzhou Tan:
Semiblind identification of nonminimum-phase ARMA models via order recursion with higher order cumulants. IEEE Trans. Ind. Electron. 45(4): 663-671 (1998) - [c7]Yong Fang, Tommy W. S. Chow:
Chattering free sliding mode control based on recurrent neural network. SMC 1998: 1726-1731 - 1997
- [j14]Tommy W. S. Chow, Jinyan Li:
Higher-Order Petri Net Models Based on Artificial Neural Networks. Artif. Intell. 92(1-2): 289-300 (1997) - [j13]Jim Y. F. Yam, Tommy W. S. Chow, Chi-Tat Leung:
A new method in determining initial weights of feedforward neural networks for training enhancement. Neurocomputing 16(1): 23-32 (1997) - [j12]Chi-Tat Leung, Tommy W. S. Chow:
A novel noise robust fourth-order cumulants cost function. Neurocomputing 16(2): 139-147 (1997) - [j11]Siu-Yeung Cho, Tommy W. S. Chow:
Development of a Recurrent Sigma-Pi Neural Network Rainfall Forecasting System in Hong Kong. Neural Comput. Appl. 5(2): 66-75 (1997) - [j10]Tommy W. S. Chow, Oulian Shuai:
Feedforward Neural Networks Based Input-Output Models for Railway Carriage System Identification. Neural Process. Lett. 5(2): 57-67 (1997) - [j9]Tommy W. S. Chow, Hongzhou Tan, Gou Fei:
Third-order cumulant RLS algorithm for nonminimum ARMA systems identification. Signal Process. 61(1): 23-38 (1997) - [j8]Tommy W. S. Chow, Gou Fei, Siu-Yeung Cho:
Higher order cumulants-based least squares for nonminimum-phase systems identification. IEEE Trans. Ind. Electron. 44(5): 707-716 (1997) - [j7]Jinyan Li, Tommy W. S. Chow, Boris Igelnik, Yoh-Han Pao:
Comments on "Stochastic choice of basis functions in adaptive function approximation and the functional-link net" [and reply]. IEEE Trans. Neural Networks 8(2): 452-454 (1997) - [j6]Jim Y. F. Yam, Tommy W. S. Chow:
Extended least squares based algorithm for training feedforward networks. IEEE Trans. Neural Networks 8(3): 806-810 (1997) - [c6]Yong Fang, Tommy W. S. Chow:
Neural network adative wavelets for function approximation. ESANN 1997 - [c5]Chi-Tat Leung, Tommy W. S. Chow:
A hybrid global learning algorithm based on global search and least squares techniques for backpropagation networks. ICNN 1997: 1890-1895 - 1996
- [j5]Chi-Tat Leung, Tommy W. S. Chow, Yat-Fung Yam:
A Least Third-Order Cumulants Objective Function. Neural Process. Lett. 3(2): 91-99 (1996) - [j4]Tommy W. S. Chow, Chi-Tat Leung:
Performance enhancement using nonlinear preprocessing. IEEE Trans. Neural Networks 7(4): 1039-1042 (1996) - [c4]Tommy W. S. Chow, Siu-Yeung Cho:
Neural network application: rainfall forecasting system in Hong Kong. ESANN 1996 - [c3]Chi-Tat Leung, Tommy W. S. Chow:
Noise robustness enhancement using fourth-order cumulants cost function. ICNN 1996: 1918-1923 - 1995
- [j3]Yat-Fung Yam, Tommy W. S. Chow:
Determining initial weights of feedforward neural networks based on least squares method. Neural Process. Lett. 2(2): 13-17 (1995) - [j2]Yat-Fung Yam, Tommy W. S. Chow:
Accelerated training algorithm for feedforward neural networks based on least squares method. Neural Process. Lett. 2(4): 20-25 (1995) - [c2]Tommy W. S. Chow, Chi-Tat Leung:
Neural network piecewise linear preprocessing for time-series prediction. ESANN 1995 - [c1]Jin-Yan Li, Tommy W. S. Chow, Ying-Lin Yu:
The estimation theory and optimization algorithm for the number of hidden units in the higher-order feedforward neural network. ICNN 1995: 1229-1233 - 1994
- [j1]Tommy W. S. Chow, Gou Fei:
Recurrent Sigma-Pi-linked back-propagation network. Neural Process. Lett. 1(2): 5-8 (1994)
Coauthor Index
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