World's Best Scientists 2026 revealed!
Joshua Zhexue Huang

Joshua Zhexue Huang

D-Index & Metrics

Computer Science

D-Index
47
Citations
9958
World Ranking
6439
National Ranking
857

Overview

Joshua Zhexue Huang is affiliated with Shenzhen University in China. Their research production is concentrated primarily within the field of Computer Science, with a total of 160 publications. The main subfields of study include Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Electrical and Electronic Engineering, and Signal Processing.

The scientist has contributed extensively to several key research topics, including:

  • Face and Expression Recognition
  • Advanced Clustering Algorithms Research
  • Anomaly Detection Techniques and Applications
  • Machine Learning and ELM
  • Long-Term Effects of COVID-19
  • Intensive Care Unit Cognitive Disorders
  • Domain Adaptation and Few-Shot Learning

Joshua Zhexue Huang has co-authored works with multiple other researchers. Frequent collaborators include Yulin He, Philippe Fournier-Viger, Alladoumbaye Ngueilbaye, Mohammad Sultan Mahmud, and Xiaojun Chen.

Their publications have appeared predominantly in these venues:

  • Information Sciences
  • SSRN Electronic Journal
  • Pattern Recognition
  • Engineering Applications of Artificial Intelligence
  • bioRxiv (Cold Spring Harbor Laboratory)

Recent papers of note include the following:

  • "A Prospective Study of Neurologic Disorders in Hospitalized Patients With COVID-19 in New York City," 2020, published in Neurology
  • "A survey of data partitioning and sampling methods to support big data analysis," 2020, published in Big Data Mining and Analytics
  • "A prospective study of long-term outcomes among hospitalized COVID-19 patients with and without neurological complications," 2021, published in Journal of the Neurological Sciences
  • "A review of optimization methods for computation offloading in edge computing networks," 2022, published in Digital Communications and Networks
  • "Prevalence and Impact of Hyponatremia in Patients With Coronavirus Disease 2019 in New York City," 2020, published in Critical Care Medicine

Best Publications

  • Automated variable weighting in k-means type clustering

    J.Z. Huang;M.K. Ng;Hongqiang Rong;Zichen Li

  • An Entropy Weighting k-Means Algorithm for Subspace Clustering of High-Dimensional Sparse Data

    Liping Jing;M.K. Ng;J.Z. Huang

  • A fuzzy k-modes algorithm for clustering categorical data

    Zhexue Huang;M.K. Ng

  • Fuzziness based semi-supervised learning approach for intrusion detection system

    Rana Aamir Raza Ashfaq;Xi-Zhao Wang;Joshua Zhexue Huang;Haider Abbas

  • Agglomerative Fuzzy K-Means Clustering Algorithm with Selection of Number of Clusters

    M.J. Li;M.K. Ng;Y.-m. Cheung;J.Z. Huang

  • An optimization algorithm for clustering using weighted dissimilarity measures

    Elaine Y. Chan;Wai-Ki Ching;Michael K. Ng;Joshua Zhexue Huang

  • Adaptive grid job scheduling with genetic algorithms

    Yang Gao;Hongqiang Rong;Joshua Zhexue Huang

  • A survey of data partitioning and sampling methods to support big data analysis

    Mohammad Sultan Mahmud;Joshua Zhexue Huang;Salman Salloum;Tamer Z. Emara

  • On the Impact of Dissimilarity Measure in k-Modes Clustering Algorithm

    M.K. Ng;M.J. Li;J.Z. Huang;Zengyou He

  • Big data analytics on Apache Spark

    Unknown

  • Stratified sampling for feature subspace selection in random forests for high dimensional data

    Yunming Ye;Qingyao Wu;Joshua Zhexue Huang;Michael K. Ng

  • Web services: problems and future directions

    Hongbing Wang;Hongbing Wang;Hongbing Wang;Joshua Zhexue Huang;Yuzhong Qu;Junyuan Xie

  • TW-k-means: Automated two-level variable weighting clustering algorithm for multiview data

    Xiaojun Chen;Xiaofei Xu;J. Z. Huang;Yunming Ye

  • Topic oriented community detection through social objects and link analysis in social networks

    Zhongying Zhao;Shengzhong Feng;Qiang Wang;Joshua Zhexue Huang

  • A feature group weighting method for subspace clustering of high-dimensional data

    Xiaojun Chen;Yunming Ye;Xiaofei Xu;Joshua Zhexue Huang

  • A review of optimization methods for computation offloading in edge computing networks

    Unknown

  • Joint Optimization of Energy Consumption and Latency in Mobile Edge Computing for Internet of Things

    Laizhong Cui;Chong Xu;Shu Yang;Joshua Zhexue Huang

  • Balanced parallel FP-Growth with MapReduce

    Unknown

  • Subspace clustering of text documents with feature weighting k -means algorithm

    Liping Jing;Michael K. Ng;Jun Xu;Joshua Zhexue Huang

  • Fuzzy nonlinear regression analysis using a random weight network

    Yu-Lin He;Xi-Zhao Wang;Joshua Zhexue Huang

  • Knowledge-based vector space model for text clustering

    Liping Jing;Michael K. Ng;Joshua Z. Huang

  • Unbiased Feature Selection in Learning Random Forests for High-Dimensional Data

    Unknown

  • A Fast Greedy Algorithm for Outlier Mining

    Unknown

  • Semi-supervised Feature Selection via Rescaled Linear Regression

    Xiaojun Chen;Guowen Yuan;Feiping Nie;Joshua Zhexue Huang

  • I-nice: A new approach for identifying the number of clusters and initial cluster centres

    Abdul Masud;Joshua Zhexue Huang;Chenghao Wei;Jikui Wang

  • A Note on K-modes Clustering

    Zhexue Huang;Michael K. Ng

Frequent Co-Authors

Xi-Zhao Wang
Xi-Zhao Wang Tsinghua University
Feiping Nie
Feiping Nie Northwestern Polytechnical University
Yunming Ye
Yunming Ye Harbin Institute of Technology
Jianqiang Li
Jianqiang Li Beijing University of Technology
Jiye Liang
Jiye Liang Shanxi University
Zongwei Luo
Zongwei Luo Southern University of Science and Technology
Jiafeng Guo
Jiafeng Guo Chinese Academy of Sciences
Shuigeng Zhou
Shuigeng Zhou Fudan University
Zhou Zhao
Zhou Zhao Zhejiang University
Yanyan Lan
Yanyan Lan Chinese Academy of Sciences

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