World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
54
Citations
8254
World Ranking
4664
National Ranking
625

Overview

Zhihui Lai is affiliated with Shenzhen University in China and specializes in fields related to computer science and engineering. Their research portfolio includes over 120 publications in computer science with significant contributions across various subfields, notably computer vision and pattern recognition, artificial intelligence, and computational mechanics.

Their work extensively covers topics such as face and expression recognition, sparse and compressive sensing techniques, and remote-sensing image classification. Other main topics include video surveillance and tracking methods, image retrieval and classification techniques, face recognition and analysis, and advanced image and video retrieval techniques.

Frequent collaborators of Zhihui Lai include Jie Zhou, Jun Wan, Jiajun Wen, Can Gao, and Linlin Shen, reflecting a network of scholarly cooperation on multiple projects.

They have published regularly in a range of scientific venues, with multiple papers appearing in:

  • arXiv (Cornell University)
  • Pattern Recognition
  • Information Sciences
  • International Journal of Machine Learning and Cybernetics
  • Neural Networks

Significant recent papers by Zhihui Lai include:

  • "Structured optimal graph based sparse feature extraction for semi-supervised learning" (2020) published in Signal Processing
  • "Discriminative deep multi-task learning for facial expression recognition" (2020) published in Information Sciences
  • "Projected fuzzy C-means clustering with locality preservation" (2020) published in Pattern Recognition
  • "A deep convolutional neural network for diabetic retinopathy detection via mining local and long-range dependence" (2023) published in CAAI Transactions on Intelligence Technology
  • "Low-rank adaptive graph embedding for unsupervised feature extraction" (2020) published in Pattern Recognition

The focus on semi-supervised learning, clustering methods, deep learning architectures, and feature extraction techniques demonstrates a strong emphasis on image and pattern recognition technologies. Their research activities bridge core artificial intelligence approaches with practical applications such as facial expression and diabetic retinopathy detection.

Zhihui Lai's publication record indicates a multidisciplinary approach, combining computer vision with signal processing, machine learning, and biomedical imaging. This breadth supports ongoing developments in automated recognition systems and advanced image analytics within the engineering and computer science communities.

Best Publications

  • Multilinear Sparse Principal Component Analysis

    Zhihui Lai;Yong Xu;Qingcai Chen;Jian Yang

  • Discriminative Elastic-Net Regularized Linear Regression

    Zheng Zhang;Zhihui Lai;Yong Xu;Ling Shao

  • Joint sparse principal component analysis

    Shuangyan Yi;Zhihui Lai;Zhenyu He;Yiu Ming Cheung

  • Wavelet Integrated CNNs for Noise-Robust Image Classification

    Qiufu Li;Linlin Shen;Sheng Guo;Zhihui Lai

  • A hybrid piezo-dielectric wind energy harvester for high-performance vortex-induced vibration energy harvesting

    Zhihui Lai;Shuaibo Wang;Likuan Zhu;Guoqing Zhang

  • A Locality-Constrained and Label Embedding Dictionary Learning Algorithm for Image Classification

    Zhengming Li;Zhihui Lai;Yong Xu;Jian Yang

  • WaveCNet: Wavelet Integrated CNNs to Suppress Aliasing Effect for Noise-Robust Image Classification

    Qiufu Li;Linlin Shen;Sheng Guo;Zhihui Lai

  • Using the idea of the sparse representation to perform coarse-to-fine face recognition

    Yong Xu;Qi Zhu;Zizhu Fan;David Zhang

  • Approximate Orthogonal Sparse Embedding for Dimensionality Reduction

    Zhihui Lai;Wai Keung Wong;Yong Xu;Jian Yang

  • Integrating conventional and inverse representation for face recognition.

    Yong Xu;Xuelong Li;Jian Yang;Zhihui Lai

  • Low-Rank Preserving Projections

    Yuwu Lu;Zhihui Lai;Yong Xu;Xuelong Li

  • Low-Rank Embedding for Robust Image Feature Extraction

    Wai Keung Wong;Zhihui Lai;Jiajun Wen;Xiaozhao Fang

  • Sparse tensor discriminant analysis

    Zhihui Lai;Yong Xu;Jian Yang;Jinhui Tang

  • Structured optimal graph based sparse feature extraction for semi-supervised learning

    Zhonghua Liu;Zhihui Lai;Weihua Ou;Kaibing Zhang

  • Face recognition by sparse discriminant analysis via joint L2,1-norm minimization

    Xiaoshuang Shi;Yujiu Yang;Zhenhua Guo;Zhihui Lai;Zhihui Lai

  • Weak-signal detection based on the stochastic resonance of bistable Duffing oscillator and its application in incipient fault diagnosis

    Zhi-hui Lai;Zhi-hui Lai;Yong-gang Leng

  • Robust Semi-Supervised Subspace Clustering via Non-Negative Low-Rank Representation

    Xiaozhao Fang;Yong Xu;Xuelong Li;Zhihui Lai

  • Human Gait Recognition via Sparse Discriminant Projection Learning

    Zhihui Lai;Yong Xu;Zhong Jin;David Zhang

  • Regularized Label Relaxation Linear Regression

    Xiaozhao Fang;Yong Xu;Xuelong Li;Zhihui Lai

  • Rotational Invariant Dimensionality Reduction Algorithms

    Zhihui Lai;Yong Xu;Jian Yang;Linlin Shen

  • Robust Discriminant Regression for Feature Extraction

    Zhihui Lai;Dongmei Mo;Wai Keung Wong;Yong Xu

  • Scalable Supervised Asymmetric Hashing With Semantic and Latent Factor Embedding

    Zheng Zhang;Zhihui Lai;Zi Huang;Wai Keung Wong

Frequent Co-Authors

Wai Keung Wong
Wai Keung Wong Hong Kong Polytechnic University
Linlin Shen
Linlin Shen Shenzhen University
Yong Xu
Yong Xu Harbin Institute of Technology
Xuelong Li
Xuelong Li China Telecom (China)
David Zhang
David Zhang Chinese University of Hong Kong, Shenzhen
Henry Leung
Henry Leung University of Calgary
Duoqian Miao
Duoqian Miao Tongji University
Zhong Jin
Zhong Jin Nanjing University
Witold Pedrycz
Witold Pedrycz University of Alberta
Ali Javey
Ali Javey University of California, Berkeley

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