World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
11760
World Ranking
10979
National Ranking
1356

Overview

Meng Yang is affiliated with Sun Yat-sen University in China and has a research focus primarily situated in the fields of Computer Science and Engineering. Their work spans 88 publications in Computer Science and 27 in Engineering, contributing notably to various subfields and topics within these disciplines.

The main subfields of study for Meng Yang include Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering, and Signal Processing. These areas reflect the scientist's broad expertise and involvement in technical aspects of computing and engineering.

The researcher's contributions emphasize several key topics, such as:

  • Domain Adaptation and Few-Shot Learning
  • Advanced Neural Network Applications
  • Video Surveillance and Tracking Methods
  • Multimodal Machine Learning Applications
  • Face and Expression Recognition
  • Topic Modeling
  • Natural Language Processing Techniques

Meng Yang has published multiple papers in prestigious venues, including:

  • "Constructing multilayer locality-constrained matrix regression framework for noise robust face super-resolution," 2020, Pattern Recognition
  • "Hierarchical Deep CNN Feature Set-Based Representation Learning for Robust Cross-Resolution Face Recognition," 2020, IEEE Transactions on Circuits and Systems for Video Technology
  • "Leaning compact and representative features for cross-modality person re-identification," 2022, World Wide Web
  • "Weakly-supervised semantic segmentation with saliency and incremental supervision updating," 2021, Pattern Recognition
  • "Deep Selective Memory Network With Selective Attention and Inter-Aspect Modeling for Aspect Level Sentiment Classification," 2021, IEEE/ACM Transactions on Audio Speech and Language Processing

The publication record also shows frequent contributions to certain venues:

  • Pattern Recognition
  • SSRN Electronic Journal
  • IEEE Transactions on Circuits and Systems for Video Technology
  • Engineering Applications of Artificial Intelligence
  • IEEE Transactions on Information Forensics and Security

Collaborative work is a significant aspect of Meng Yang's research, with frequent coauthors including Guangwei Gao, Wei-Shi Zheng, Wenfeng Luo, Yi Yu, and Jie Ling. These partnerships have resulted in multiple joint publications, reflecting a networked approach to advancing their fields of study.

Best Publications

  • Sparse representation or collaborative representation: Which helps face recognition?

    Lei Zhang;Meng Yang;Xiangchu Feng

  • Large-margin softmax loss for convolutional neural networks

    Weiyang Liu;Yandong Wen;Zhiding Yu;Meng Yang

  • Fisher Discrimination Dictionary Learning for sparse representation

    Meng Yang;Lei Zhang;Xiangchu Feng;David Zhang

  • Robust sparse coding for face recognition

    Meng Yang;Lei Zhang;Jian Yang;David Zhang

  • Gabor feature based sparse representation for face recognition with gabor occlusion dictionary

    Meng Yang;Lei Zhang

  • Sparse Representation Based Fisher Discrimination Dictionary Learning for Image Classification

    Meng Yang;Lei Zhang;Xiangchu Feng;David Zhang

  • Metaface learning for sparse representation based face recognition

    Meng Yang;Lei Zhang;Jian Yang;David Zhang

  • Toward Characteristic-Preserving Image-Based Virtual Try-On Network

    Bochao Wang;Huabin Zheng;Xiaodan Liang;Yimin Chen

  • Regularized Robust Coding for Face Recognition

    Meng Yang;Lei Zhang;Jian Yang;D. Zhang

  • Towards contactless palmprint recognition

    Lin Zhang;Lida Li;Anqi Yang;Ying Shen

  • Relaxed collaborative representation for pattern classification

    Meng Yang;Lei Zhang;David Zhang;Shenlong Wang

  • Collaborative Representation based Classification for Face Recognition

    Lei Zhang;Meng Yang;Xiangchu Feng;Yi Ma

  • Face recognition based on regularized nearest points between image sets

    Meng Yang;Pengfei Zhu;Luc Van Gool;Lei Zhang

  • Gabor feature based robust representation and classification for face recognition with Gabor occlusion dictionary

    Meng Yang;Lei Zhang;Simon C. K. Shiu;David Zhang

  • Sparse Variation Dictionary Learning for Face Recognition with a Single Training Sample per Person

    Meng Yang;Luc Van Gool;Lei Zhang

  • Joint discriminative dimensionality reduction and dictionary learning for face recognition

    Zhizhao Feng;Meng Yang;Lei Zhang;Yan Liu

  • Robust Kernel Representation With Statistical Local Features for Face Recognition

    Meng Yang;Lei Zhang;Simon Chi-Keung Shiu;D. Zhang

  • Latent Dictionary Learning for Sparse Representation Based Classification

    Meng Yang;Dengxin Dai;Lilin Shen;Luc Van Gool

  • Monogenic Binary Coding: An Efficient Local Feature Extraction Approach to Face Recognition

    Meng Yang;Lei Zhang;S. C-K Shiu;D. Zhang

  • Erasing Integrated Learning: A Simple Yet Effective Approach for Weakly Supervised Object Localization

    Jinjie Mai;Meng Yang;Wenfeng Luo

Frequent Co-Authors

Linlin Shen
Linlin Shen Shenzhen University
Lei Zhang
Lei Zhang Hong Kong Polytechnic University
David Zhang
David Zhang Chinese University of Hong Kong, Shenzhen
Wei-Shi Zheng
Wei-Shi Zheng Sun Yat-sen University
Zhihui Lai
Zhihui Lai Shenzhen University
Pengfei Zhu
Pengfei Zhu Tianjin University
Luc Van Gool
Luc Van Gool Institute for Computer Science, Artificial Intelligence and Technology (INSAIT)
Yuexian Zou
Yuexian Zou Peking University
Liang Lin
Liang Lin Sun Yat-sen University
Xiaodan Liang
Xiaodan Liang Sun Yat-sen University

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