World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
50
Citations
8943
World Ranking
5667
National Ranking
79

Electronics and Electrical Engineering

D-Index
43
Citations
6728
World Ranking
3941
National Ranking
64

Overview

Zhiping Lin is affiliated with Nanyang Technological University in Singapore. Their research spans the fields of Computer Science and Engineering, with significant contributions to the subfields of Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Biomedical Engineering, and Signal Processing.

Their work encompasses several main topics including Face and Expression Recognition, Domain Adaptation and Few-Shot Learning, Image Retrieval and Classification Techniques, Remote-Sensing Image Classification, Machine Learning and Extreme Learning Machines (ELM), Advanced Neural Network Applications, and Sparse and Compressive Sensing Techniques.

Zhiping Lin has published extensively in a variety of academic venues. Frequent publication platforms include:

  • arXiv (Cornell University)
  • Pattern Recognition
  • IEEE Transactions on Circuits and Systems for Video Technology
  • IEEE Transactions on Geoscience and Remote Sensing
  • IEEE Transactions on Neural Networks and Learning Systems

Their recent papers illustrate the scope and variety of research contributions:

  • A Review of Machine Learning for Near-Infrared Spectroscopy, 2022, Sensors
  • Dimensionality Reduction and Classification of Hyperspectral Image via Multistructure Unified Discriminative Embedding, 2021, IEEE Transactions on Geoscience and Remote Sensing
  • Attention Multihop Graph and Multiscale Convolutional Fusion Network for Hyperspectral Image Classification, 2023, IEEE Transactions on Geoscience and Remote Sensing
  • GTC: Guided Training of CTC towards Efficient and Accurate Scene Text Recognition, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • Robust semi-supervised nonnegative matrix factorization for image clustering, 2020, Pattern Recognition

Zhiping Lin has collaborated regularly with several researchers, forming frequent co-author relationships. Notable collaborators include Huiping Zhuang, Badong Chen, Zhenyu Weng, Kar-Ann Toh, and Ben Yang.

Best Publications

  • Voting based extreme learning machine

    Jiuwen Cao;Zhiping Lin;Guang-Bin Huang;Nan Liu

  • Self-Adaptive Evolutionary Extreme Learning Machine

    Jiuwen Cao;Zhiping Lin;Guang-Bin Huang

  • Deep CNNs for microscopic image classification by exploiting transfer learning and feature concatenation

    Long D. Nguyen;Dongyun Lin;Zhiping Lin;Jiuwen Cao

  • Brain tumor grading based on Neural Networks and Convolutional Neural Networks

    Yuehao Pan;Weimin Huang;Zhiping Lin;Wanzheng Zhu

  • Driver Distraction Detection Using Semi-Supervised Machine Learning

    Tianchi Liu;Yan Yang;Guang-Bin Huang;Yong Kiang Yeo

  • Robust stability and stabilisation of 2D discrete state-delayed systems

    Wojciech Paszke;James Lam;Krzysztof Gałkowski;Shengyuan Xu

  • Ensemble of subset online sequential extreme learning machine for class imbalance and concept drift

    Bilal Mirza;Zhiping Lin;Nan Liu

  • Stacked Extreme Learning Machines

    Hongming Zhou;Guang-Bin Huang;Zhiping Lin;Han Wang

  • GTC: Guided Training of CTC towards Efficient and Accurate Scene Text Recognition

    Wenyang Hu;Xiaocong Cai;Jun Hou;Shuai Yi

  • Microring resonator-assisted Fourier transform spectrometer with enhanced resolution and large bandwidth in single chip solution

    Shao Nan Zheng;Jianping Zou;Jianping Zou;Hong Cai;J. F. Song

  • Prediction of cardiac arrest in critically ill patients presenting to the emergency department using a machine learning score incorporating heart rate variability compared with the modified early warning score

    Marcus Eng Hock Ong;Christina Hui Lee Ng;Ken Goh;Nan Liu

  • Weighted Online Sequential Extreme Learning Machine for Class Imbalance Learning

    Bilal Mirza;Zhiping Lin;Kar-Ann Toh

  • Robust semi-supervised nonnegative matrix factorization for image clustering

    Siyuan Peng;Wee Ser;Badong Chen;Zhiping Lin

  • Composite function wavelet neural networks with extreme learning machine

    Jiuwen Cao;Zhiping Lin;Guang-bin Huang

  • Extreme Learning Machines on High Dimensional and Large Data Applications: A Survey

    Jiuwen Cao;Zhiping Lin

  • Micro-Doppler Mini-UAV Classification Using Empirical-Mode Decomposition Features

    Beom-Seok Oh;Xin Guo;Fangyuan Wan;Kar-Ann Toh

  • Constrained maximum correntropy adaptive filtering

    Siyuan Peng;Badong Chen;Lei Sun;Wee Ser

  • Predicting time series with wavelet packet neural networks

    Lipo Wang;Kok Keong Teo;Zhiping Lin

  • Wavelet Packet Multi-layer Perceptron for Chaotic Time Series Prediction: Effects of Weight Initialization

    Kok Keong Teo;Lipo Wang;Zhiping Lin

  • Robust H/sub /spl infin// filtering for Uncertain2-D continuous systems

    Shengyuan Xu;J. Lam;Y. Zou;Zhiping Lin

  • Positive real control for uncertain two-dimensional systems

    Shengyuan Xu;J. Lam;Zhiping Lin;K. Galkowski

  • Meta-cognitive online sequential extreme learning machine for imbalanced and concept-drifting data classification

    Bilal Mirza;Zhiping Lin

Frequent Co-Authors

Kar-Ann Toh
Kar-Ann Toh Yonsei University
Guang-Bin Huang
Guang-Bin Huang Nanyang Technological University
Wee Ser
Wee Ser Nanyang Technological University
Badong Chen
Badong Chen Xi'an Jiaotong University
Yuanjin Zheng
Yuanjin Zheng Nanyang Technological University
James Lam
James Lam University of Hong Kong
Shengyuan Xu
Shengyuan Xu Nanjing University of Science and Technology
Weimin Huang
Weimin Huang Memorial University of Newfoundland
Krzysztof Galkowski
Krzysztof Galkowski University of Zielona Góra
Yonghong Zeng
Yonghong Zeng Institute for Infocomm Research

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