World's Best Scientists 2026 revealed!
Chi-Man Vong

Chi-Man Vong

D-Index & Metrics

Computer Science

D-Index
40
Citations
7210
World Ranking
9269
National Ranking
1177

Overview

Chi-Man Vong is affiliated with the University of Macau in China and specializes in computer science with a specific focus on artificial intelligence and computer vision. Their research spans a broad range of subfields including media technology, electrical and electronic engineering, and neurology.

The scientist has contributed extensively to topics related to machine learning and Extreme Learning Machines (ELM), text and document classification technologies, face and expression recognition, advanced neural network applications, advanced image and video retrieval techniques, domain adaptation and few-shot learning, as well as image retrieval and classification techniques.

Chi-Man Vong's frequent co-authors include Chuangquan Chen, Jintao Huang, Jie Du, Shitong Wang, and Pak Kin Wong, reflecting a pattern of collaborative research.

Their work appears predominantly in the following publication venues:

  • arXiv (Cornell University)
  • Neurocomputing
  • IEEE Transactions on Fuzzy Systems
  • IEEE Transactions on Emerging Topics in Computational Intelligence
  • IEEE Transactions on Neural Networks and Learning Systems

Some of the recent papers by Chi-Man Vong include:

  • "Novel Efficient RNN and LSTM-Like Architectures: Recurrent and Gated Broad Learning Systems and Their Applications for Text Classification" (2020), published in IEEE Transactions on Cybernetics
  • "Novel up-scale feature aggregation for object detection in aerial images" (2020), published in Neurocomputing
  • "Fuzzy KNN Method With Adaptive Nearest Neighbors" (2020), published in IEEE Transactions on Cybernetics
  • "A Deep Forest-Based Fault Diagnosis Scheme for Electronics-Rich Analog Circuit Systems" (2020), published in IEEE Transactions on Industrial Electronics
  • "Intelligent diagnosis of gastric intestinal metaplasia based on convolutional neural network and limited number of endoscopic images" (2020), published in Computers in Biology and Medicine

Best Publications

  • Representational learning with ELMs for big data

    Liyanaarachchi Lekamalage Chamara Kasun;Hongming Zhou;Guang-Bin Huang;Chi Man Vong

  • Extreme Learning Machine

    Erik Cambria;Guang-Bin Huang;Liyanaarachchi Lekamalage Chamara Kasun;Hongming Zhou

  • Local Receptive Fields Based Extreme Learning Machine

    Guang-Bin Huang;Zuo Bai;Liyanaarachchi Lekamalage Chamara Kasun;Chi Man Vong

  • SeqViews2SeqLabels: Learning 3D Global Features via Aggregating Sequential Views by RNN With Attention

    Zhizhong Han;Mingyang Shang;Zhenbao Liu;Chi-Man Vong

  • Sparse Bayesian Extreme Learning Machine for Multi-classification

    Jiahua Luo;Chi-Man Vong;Pak-Kin Wong

  • Kernel-Based Multilayer Extreme Learning Machines for Representation Learning

    Chi Man Wong;Chi Man Vong;Pak Kin Wong;Jiuwen Cao

  • Rate-Dependent Hysteresis Modeling and Control of a Piezostage Using Online Support Vector Machine and Relevance Vector Machine

    Pak-Kin Wong;Qingsong Xu;Chi-Man Vong;Hang-Cheong Wong

  • Real-time fault diagnosis for gas turbine generator systems using extreme learning machine

    Pak Kin Wong;Zhixin Yang;Chi Man Vong;Jianhua Zhong

  • 3D2SeqViews: Aggregating Sequential Views for 3D Global Feature Learning by CNN With Hierarchical Attention Aggregation

    Zhizhong Han;Honglei Lu;Zhenbao Liu;Chi-Man Vong

  • Prediction of automotive engine power and torque using least squares support vector machines and Bayesian inference

    Chi-Man Vong;Pak-Kin Wong;Yi-Ping Li

  • Modeling and optimization of biodiesel engine performance using kernel-based extreme learning machine and cuckoo search

    Pak Kin Wong;Ka In Wong;Chi Man Vong;Chun Shun Cheung

  • Novel Efficient RNN and LSTM-Like Architectures: Recurrent and Gated Broad Learning Systems and Their Applications for Text Classification

    Jie Du;Chi-Man Vong;C. L. Philip Chen

  • Modeling and optimization of biodiesel engine performance using advanced machine learning methods

    Ka In Wong;Pak Kin Wong;Chun Shun Cheung;Chi Man Vong

  • Capturing High-Discriminative Fault Features for Electronics-Rich Analog System via Deep Learning

    Zhenbao Liu;Zhen Jia;Chi-Man Vong;Shuhui Bu

  • A Rotating Machinery Fault Diagnosis Method Based on Feature Learning of Thermal Images

    Zhen Jia;Zhenbao Liu;Chi-Man Vong;Michael Pecht

  • Case-based Reasoning and Adaptation in Hydraulic Production Machine Design

    C.M. Vong;T.P. Leung;P.K. Wong

  • Engine ignition signal diagnosis with Wavelet Packet Transform and Multi-class Least Squares Support Vector Machines

    C. M. Vong;P. K. Wong

  • Sparse Bayesian extreme learning committee machine for engine simultaneous fault diagnosis

    Pak Kin Wong;Jianhua Zhong;Zhixin Yang;Chi Man Vong

  • Engine idle-speed system modelling and control optimization using artificial intelligence

    P K Wong;L M Tam;K Li;C M Vong

  • A New Framework of Simultaneous-Fault Diagnosis Using Pairwise Probabilistic Multi-Label Classification for Time-Dependent Patterns

    Chi-Man Vong;Pak-Kin Wong;Weng-Fai Ip

  • Fast detection of impact location using kernel extreme learning machine

    Heming Fu;Chi-Man Vong;Pak-Kin Wong;Zhixin Yang

Frequent Co-Authors

Pak Kin Wong
Pak Kin Wong University of Macau
Zhizhong Han
Zhizhong Han Wayne State University
Junwei Han
Junwei Han Northwestern Polytechnical University
C. L. Philip Chen
C. L. Philip Chen South China University of Technology
Rui P. Martins
Rui P. Martins University of Macau
Amaury Lendasse
Amaury Lendasse University of Houston
Guang-Bin Huang
Guang-Bin Huang Nanyang Technological University
C.S. Cheung
C.S. Cheung Hong Kong Polytechnic University
Michael Pecht
Michael Pecht University of Maryland, College Park
Matthias Zwicker
Matthias Zwicker University of Maryland, College Park

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