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Computer Science

D-Index
58
Citations
10690
World Ranking
3696
National Ranking
495

Overview

Tommy W. S. Chow is affiliated with the City University of Hong Kong in China. Their research primarily spans the fields of Computer Science and Engineering, with a focus on specialized subfields including Artificial Intelligence, Control and Systems Engineering, Computer Vision and Pattern Recognition, Information Systems, and Mechanical Engineering.

The scientist's main topics of work involve Machine Fault Diagnosis Techniques, Text and Document Classification Technologies, Topic Modeling, Recommender Systems and Techniques, Sentiment Analysis and Opinion Mining, Fault Detection and Control Systems, and Anomaly Detection Techniques and Applications.

Tommy W. S. Chow has published extensively in various academic venues. Frequent publication venues include:

  • IEEE Transactions on Industrial Informatics
  • IEEE Transactions on Instrumentation and Measurement
  • IEEE Transactions on Cybernetics
  • IEEE Transactions on Neural Networks and Learning Systems
  • Neural Networks

Recent papers authored or co-authored by Tommy W. S. Chow include:

  • GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis, 2023, Engineering Applications of Artificial Intelligence
  • Deep Adversarial Subdomain Adaptation Network for Intelligent Fault Diagnosis, 2022, IEEE Transactions on Industrial Informatics
  • Multiscale Residual Attention Convolutional Neural Network for Bearing Fault Diagnosis, 2022, IEEE Transactions on Instrumentation and Measurement
  • Causal Disentanglement Domain Generalization for time-series signal fault diagnosis, 2024, Neural Networks
  • Kernel-Based Statistical Process Monitoring and Fault Detection in the Presence of Missing Data, 2021, IEEE Transactions on Industrial Informatics

The scientist has collaborated frequently with several co-authors, including Jianghong Ma, Yu Wang, Yixuan Yuan, Linshan Jia, and Tianjun Wei. These collaborations have contributed to the breadth and depth of their research output.

Best Publications

  • Motor Bearing Fault Diagnosis Using Trace Ratio Linear Discriminant Analysis

    Xiaohang Jin;Mingbo Zhao;Tommy W. S. Chow;Michael Pecht

  • Neural network based short-term load forecasting using weather compensation

    T.W.S. Chow;C.T. Leung

  • A recurrent neural-network-based real-time learning control strategy applying to nonlinear systems with unknown dynamics

    T.W.S. Chow;Yong Fang

  • A weight initialization method for improving training speed in feedforward neural network

    Jim Y.F. Yam;Tommy W.S. Chow

  • A neural-based crowd estimation by hybrid global learning algorithm

    Siu-Yeung Cho;T.W.S. Chow;Chi-Tat Leung

  • Anomaly Detection and Fault Prognosis for Bearings

    Xiaohang Jin;Yi Sun;Zijun Que;Yu Wang

  • Textual and Visual Content-Based Anti-Phishing: A Bayesian Approach

    Haijun Zhang;Gang Liu;T. W. S. Chow;Wenyin Liu

  • Induction machine fault detection using SOM-based RBF neural networks

    S. Wu;T.W.S. Chow

  • Estimating optimal feature subsets using efficient estimation of high-dimensional mutual information

    T.W.S. Chow;D. Huang

  • Induction machine fault diagnostic analysis with wavelet technique

    T.W.S. Chow;Shi Hai

  • Clustering of the self-organizing map using a clustering validity index based on inter-cluster and intra-cluster density

    Sitao Wu;Tommy W.S. Chow

  • Object-Level Video Advertising: An Optimization Framework

    Haijun Zhang;Xiong Cao;John K. L. Ho;Tommy W. S. Chow

  • Nonlinear autoregressive integrated neural network model for short-term load forecasting

    T.W.S. Chow;C.-T. Leung

  • Feedforward networks training speed enhancement by optimal initialization of the synaptic coefficients

    J.Y.F. Yam;T.W.S. Chow

  • Effective feature selection scheme using mutual information

    D. Huang;Tommy W. S. Chow

  • Effective strategy of adding nodes and links for maximizing the traffic capacity of scale-free network.

    Wei Huang;Tommy W. S. Chow

  • 2-D system theory based iterative learning control for linear continuous systems with time delays

    Xiao-Dong Li;T.W.S. Chow;J.K.L. Ho

  • Approximation of dynamical time-variant systems by continuous-time recurrent neural networks

    Xiao-Dong Li;J.K.L. Ho;T.W.S. Chow

  • A new shifting grid clustering algorithm

    Eden W.M. Ma;Tommy W.S. Chow

  • Approach to Fault Identification for Electronic Products Using Mahalanobis Distance

    S Kumar;T W S Chow;M Pecht

Frequent Co-Authors

Mingbo Zhao
Mingbo Zhao Donghua University
Zhao Zhang
Zhao Zhang Hefei University of Technology
Michael Pecht
Michael Pecht University of Maryland, College Park
Q. M. Jonathan Wu
Q. M. Jonathan Wu University of Windsor
Guanrong Chen
Guanrong Chen City University of Hong Kong
Jinyan Li
Jinyan Li University of Technology Sydney
Kwok-Leung Tsui
Kwok-Leung Tsui Virginia Tech
Marleen de Bruijne
Marleen de Bruijne Erasmus University Rotterdam
Chi Pui Pang
Chi Pui Pang Chinese University of Hong Kong
Mo-Yuen Chow
Mo-Yuen Chow North Carolina State University

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