World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
20899
World Ranking
9933
National Ranking
302

Overview

Ah Chung Tsoi is affiliated with the University of Wollongong in Australia and has contributed extensively to research in Computer Science and Medicine. Their work spans several subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Radiation, Biomedical Engineering, and Pulmonary and Respiratory Medicine.

The scientist's research focuses on topics related to Advanced Radiotherapy Techniques, Radiation Therapy and Dosimetry, Medical Imaging Techniques and Applications, Face and Expression Recognition, Human Pose and Action Recognition, Gait Recognition and Analysis, and Emotion and Mood Recognition.

Among the recent publications associated with Ah Chung Tsoi are the following:

  • Sign Language Translation with Hierarchical Spatio-Temporal Graph Neural Network, 2022, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • Graph Fusion Network-Based Multimodal Learning for Freezing of Gait Detection, 2021, IEEE Transactions on Neural Networks and Learning Systems
  • Fast and accurate dose predictions for novel radiotherapy treatments in heterogeneous phantoms using conditional 3D-UNet generative adversarial networks, 2022, Medical Physics
  • Higher Order Polynomial Transformer for Fine-Grained Freezing of Gait Detection, 2023, IEEE Transactions on Neural Networks and Learning Systems
  • A Study on the effects of recursive convolutional layers in convolutional neural networks, 2021, Neurocomputing

Frequent co-authors collaborating with Ah Chung Tsoi include Markus Hagenbuchner, Florian Mentzel, Michael Lerch, Anatoly Rosenfeld, and Susanna Guatelli.

Major venues of publication for this researcher include:

  • Neurocomputing
  • Sensors
  • SSRN Electronic Journal
  • arXiv (Cornell University)
  • IEEE Transactions on Neural Networks and Learning Systems

The diversity in the publication venues reflects an interdisciplinary approach bridging engineering, computer science, and medical physics. The combination of research topics highlights involvement in both theoretical advancements in artificial intelligence and practical applications, particularly in medical imaging and radiotherapy treatment.

Best Publications

  • The Graph Neural Network Model

    F. Scarselli;M. Gori;Ah Chung Tsoi;M. Hagenbuchner

  • Face recognition: a convolutional neural-network approach

    S. Lawrence;C.L. Giles;Ah Chung Tsoi;A.D. Back

  • Universal approximation using feedforward neural networks: a survey of some existing methods, and some new results

    Franco Scarselli;Ah Chung Tsoi

  • Noisy Time Series Prediction using Recurrent Neural Networks and Grammatical Inference

    C. Lee Giles;Steve Lawrence;Ah Chung Tsoi

  • Classification of EEG signals using the wavelet transform

    Neep Hazarika;Jean Zhu Chen;Ah Chung Tsoi;Alex Sergejew

  • Locally recurrent globally feedforward networks: a critical review of architectures

    Ah Chung Tsoi;A.D. Back

  • Lessons in neural network training: overfitting may be harder than expected

    Steve Lawrence;C. Lee Giles;Ah Chung Tsoi

  • What Size Neural Network Gives Optimal Generalization? Convergence Properties of Backpropagation

    Steve Lawrence;C. Lee Giles;Ah Chung Tsoi

  • Fir and iir synapses, a new neural network architecture for time series modeling

    A. D. Back;A. C. Tsoi

  • Incremental training of support vector machines

    A. Shilton;M. Palaniswami;D. Ralph;Ah Chung Tsoi

  • Computational Capabilities of Graph Neural Networks

    F. Scarselli;M. Gori;Ah Chung Tsoi;M. Hagenbuchner

  • A self-organizing map for adaptive processing of structured data

    M. Hagenbuchner;A. Sperduti;Ah Chung Tsoi

  • Neural Network Classification and Prior Class Probabilities

    Steve Lawrence;Ian Burns;Andrew D. Back;Ah Chung Tsoi

  • Discrete time recurrent neural network architectures: A unifying review

    Ah Chung Tsoi;Andrew D. Back

  • Rule inference for financial prediction using recurrent neural networks

    C.L. Giles;S. Lawrence;Ah Chung Tsoi

  • Nonlinear considerations in EEG signal classification

    N. Hazarika;Ah Chung Tsoi;A.A. Sergejew

  • Graph Neural Networks for Ranking Web Pages

    Franco Scarselli;Sweah Liang Yong;Marco Gori;Markus Hagenbuchner

  • Architectural Style Classification Using Multinomial Latent Logistic Regression

    Zhe Xu;Dacheng Tao;Ya Zhang;Junjie Wu

  • Function Approximation with Neural Networks and Local Methods: Bias, Variance and Smoothness

    Steve Lawrence;Ah Chung Tsoi;Andrew D. Back

  • Learning fuzzy inference systems using an adaptive membership function scheme

    A. Lotfi;A.C. Tsoi

  • The Vapnik-Chervonenkis dimension of graph and recursive neural networks.

    Franco Scarselli;Ah Chung Tsoi;Markus Hagenbuchner

Frequent Co-Authors

Steve Lawrence
Steve Lawrence Google (United States)
Marco Gori
Marco Gori University of Siena
Alessandro Sperduti
Alessandro Sperduti University of Padua
C. Lee Giles
C. Lee Giles Pennsylvania State University
Brian D. O. Anderson
Brian D. O. Anderson Australian National University
Zheru Chi
Zheru Chi Hong Kong Polytechnic University
Dacheng Tao
Dacheng Tao Nanyang Technological University
Soura Dasgupta
Soura Dasgupta University of Iowa
Junjie Wu
Junjie Wu Beihang University
Gerard Ledwich
Gerard Ledwich Queensland University of Technology

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