World's Best Scientists 2026 revealed!
Alan Wee-Chung Liew

Alan Wee-Chung Liew

D-Index & Metrics

Computer Science

D-Index
46
Citations
7341
World Ranking
6919
National Ranking
219

Overview

Alan Wee-Chung Liew is affiliated with Griffith University in Australia and has contributed extensively to the field of computer science, with a particular focus on artificial intelligence. Their research covers various subfields including computer vision and pattern recognition, electrical and electronic engineering, information systems, as well as management science and operations research.

Their work encompasses several key research topics such as data stream mining techniques, recommender systems and techniques, privacy-preserving technologies in data, anomaly detection techniques and applications, topic modeling, energy load and power forecasting, and advanced graph neural networks.

Alan Wee-Chung Liew has published in a range of venues, frequently contributing to:

  • arXiv (Cornell University)
  • Knowledge-Based Systems
  • IEEE Transactions on Neural Networks and Learning Systems
  • IEEE Transactions on Fuzzy Systems
  • IEEE Access

Their recent papers include:

  • A Novel Improved Particle Swarm Optimization With Long-Short Term Memory Hybrid Model for Stock Indices Forecast, 2021, IEEE Access
  • Preventing DeepFake Attacks on Speaker Authentication by Dynamic Lip Movement Analysis, 2020, IEEE Transactions on Information Forensics and Security
  • A Survey of Machine Unlearning, 2022, arXiv (Cornell University)
  • LiDAR-Guided Cross-Attention Fusion for Hyperspectral Band Selection and Image Classification, 2024, IEEE Transactions on Geoscience and Remote Sensing
  • An Evidential Multi-Target Domain Adaptation Method Based on Weighted Fusion for Cross-Domain Pattern Classification, 2023, IEEE Transactions on Neural Networks and Learning Systems

The scientist collaborates with several frequent coauthors, including:

  • Tien Thanh Nguyen
  • Shirui Pan
  • Shilin Wang
  • John McCall
  • Hui Tian

The range of their scientific contributions spans 123 publications in computer science, with 75 focusing specifically on artificial intelligence. Their interdisciplinary research bridges theoretical development and practical applications in multiple domains aligned with evolving technological advancements.

Best Publications

  • An adaptive spatial fuzzy clustering algorithm for 3-D MR image segmentation

    A.W.C. Liew;Hong Yan

  • General Retinal Vessel Segmentation Using Regularization-Based Multiconcavity Modeling

    Benson S Y Lam;Yongsheng Gao;Alan Wee-Chung Liew

  • Fuzzy image clustering incorporating spatial continuity

    Alan Wee-Chung Liew;Shu Hung Leung;Wing Hong Lau

  • Missing value imputation for gene expression data: computational techniques to recover missing data from available information

    AlanWee Chung Liew;Ngai Fong Law;Hong Yan

  • Segmentation of color lip images by spatial fuzzy clustering

    A.W.-C. Liew;Shu Hung Leung;Wing Hong Lau

  • Blocking artifacts suppression in block-coded images using overcomplete wavelet representation

    A.W.-C. Liew;Hong Yan

  • Current Methods in the Automatic Tissue Segmentation of 3D Magnetic Resonance Brain Images

    Alan Wee-Chung Liew;Hong Yan

  • Pattern recognition techniques for the emerging field of bioinformatics: A review

    Alan Wee-Chung Liew;Hong Yan;Mengsu Yang

  • Cluster analysis of gene expression data based on self-splitting and merging competitive learning

    Shuanhu Wu;A.W.-C. Liew;Hong Yan;Mengsu Yang

  • Sequence-based prediction of protein-peptide binding sites using support vector machine.

    Ghazaleh Taherzadeh;Yuedong Yang;Tuo Zhang;Alan Wee-Chung Liew

  • A Survey of Machine Unlearning

    Unknown

  • Discovering biclusters in gene expression data based on high-dimensional linear geometries

    Xiangchao Gan;Alan Wee-Chung Liew;Hong Yan;Hong Yan

  • Missing value imputation for the analysis of incomplete traffic accident data

    Rupam Deb;Alan Wee-Chung Liew

  • Microarray missing data imputation based on a set theoretic framework and biological knowledge

    Xiangchao Gan;Alan Wee-Chung Liew;Hong Yan

  • Image segmentation based on adaptive cluster prototype estimation

    A.W.-C. Liew;Hong Yan;N.F. Law

  • Structure-based prediction of protein- peptide binding regions using Random Forest.

    Ghazaleh Taherzadeh;Yaoqi Zhou;Alan Wee-Chung Liew;Yuedong Yang;Yuedong Yang

  • Identification of coherent patterns in gene expression data using an efficient biclustering algorithm and parallel coordinate visualization

    Kin-on Cheng;Ngai-fong Bonnie Law;Wan-chi Siu;Alan Wee-chung Liew

  • DB-Curve: a novel 2D method of DNA sequence visualization and representation

    Yonghui Wu;Alan Wee-Chung Liew;Hong Yan;Hong Yan;Mengsu Yang

  • Lip Contour Extraction from Color Images Using a Deformable Model

    Alan Wee-Chung Liew;Shu Hung Leung;Wing Hong Lau

  • Robust adaptive spot segmentation of DNA microarray images

    Alan Wee-Chung Liew;Hong Yan;Mengsu Yang

  • Gene expression data clustering and visualization based on a binary hierarchical clustering framework

    Lap Keung Szeto;Alan Wee-Chung Liew;Hong Yan;Hong Yan;Sy-sen Tang

  • Visual Speech Recognition: Lip Segmentation and Mapping

    Alan Wee-Chung Liew;Shilin Wang

  • Spectral estimation in unevenly sampled space of periodically expressed microarray time series data

    Alan Wee-Chung Liew;Jun Xian;Jun Xian;Shuanhu Wu;Shuanhu Wu;David Keith Smith

  • Multiconstrained gene clustering based on generalized projections

    Jia Zeng;Jia Zeng;Shanfeng Zhu;Alan Wee-Chung Liew;Hong Yan;Hong Yan

  • General Retinal Vessel Segmentation UsingRegularization-Based Multiconcavity Modeling

    Benson Lam;Yongsheng Gao;Alan Wee-Chung Liew

Frequent Co-Authors

Hong Yan
Hong Yan City University of Hong Kong
Mengsu Yang
Mengsu Yang City University of Hong Kong
Jun Zhou
Jun Zhou Griffith University
Yuedong Yang
Yuedong Yang Sun Yat-sen University
Yaoqi Zhou
Yaoqi Zhou Griffith University
Witold Pedrycz
Witold Pedrycz University of Alberta
Xiuping Jia
Xiuping Jia University of New South Wales
Wan-Chi Siu
Wan-Chi Siu Hong Kong Polytechnic University
Qinghua Huang
Qinghua Huang Northwestern Polytechnical University
Chang-Tsun Li
Chang-Tsun Li Deakin University

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