World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
64
Citations
19334
World Ranking
2566
National Ranking
344

Overview

Songcan Chen is affiliated with Nanjing University of Aeronautics and Astronautics in China. Their research primarily focuses on computer science, with significant contributions to artificial intelligence, computer vision and pattern recognition, signal processing, media technology, and computational mechanics.

Their work covers several main topics including domain adaptation and few-shot learning, text and document classification technologies, face and expression recognition, multimodal machine learning applications, machine learning and extreme learning machines (ELM), machine learning and data classification, and anomaly detection techniques and applications.

Frequent co-authors in their research include Sheng-Jun Huang, Chuanxing Geng, Shao-Yuan Li, Lue Tao, and Yunyun Wang.

Songcan Chen has published extensively in various venues, with a notable number of publications in:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Pattern Recognition
  • Frontiers of Computer Science

Some of the recent papers authored or co-authored by Songcan Chen include:

  • Recent Advances in Open Set Recognition: A Survey, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Semi-Supervised Multi-View Deep Discriminant Representation Learning, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • A Concise Yet Effective Model for Non-Aligned Incomplete Multi-View and Missing Multi-Label Learning, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Expand globally, shrink locally: Discriminant multi-label learning with missing labels, 2020, Pattern Recognition
  • Reconstruction Enhanced Multi-View Contrastive Learning for Anomaly Detection on Attributed Networks, 2022, Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence

Best Publications

  • Robust image segmentation using FCM with spatial constraints based on new kernel-induced distance measure

    Songcan Chen;Daoqiang Zhang

  • Fast and robust fuzzy c-means clustering algorithms incorporating local information for image segmentation

    Weiling Cai;Songcan Chen;Daoqiang Zhang

  • Sparsity preserving projections with applications to face recognition

    Lishan Qiao;Songcan Chen;Xiaoyang Tan

  • Face recognition from a single image per person: A survey

    Xiaoyang Tan;Songcan Chen;Zhi-Hua Zhou;Fuyan Zhang

  • Recent Advances in Open Set Recognition: A Survey

    Chuanxing Geng;Sheng-Jun Huang;Songcan Chen

  • A novel kernelized fuzzy C-means algorithm with application in medical image segmentation

    Dao-Qiang Zhang;Song-Can Chen

  • Semi-Supervised Dimensionality Reduction.

    Daoqiang Zhang;Zhi-Hua Zhou;Songcan Chen

  • Clustering Incomplete Data Using Kernel-Based Fuzzy C-means Algorithm

    Dao-Qiang Zhang;Song-Can Chen

  • Recognizing partially occluded, expression variant faces from single training image per person with SOM and soft k-NN ensemble

    Xiaoyang Tan;Songcan Chen;Zhi-Hua Zhou;Fuyan Zhang

  • Constraint Score: A new filter method for feature selection with pairwise constraints

    Daoqiang Zhang;Songcan Chen;Zhi-Hua Zhou

  • Doubly Aligned Incomplete Multi-view Clustering

    Menglei Hu;Songcan Chen

  • Locality preserving CCA with applications to data visualization and pose estimation

    Tingkai Sun;Songcan Chen

  • A new face recognition method based on SVD perturbation for single example image per person

    Daoqiang Zhang;Songcan Chen;Zhi-Hua Zhou

  • Making FLDA applicable to face recognition with one sample per person

    Songcan Chen;Jun Liu;Zhi-Hua Zhou

  • A comparative study on local binary pattern (LBP) based face recognition: LBP histogram versus LBP image

    Bo Yang;Bo Yang;Songcan Chen

  • Subpattern-based principle component analysis

    Songcan Chen;Yulian Zhu

  • Letters: Adaptively weighted sub-pattern PCA for face recognition

    Keren Tan;Songcan Chen

  • Graph-optimized locality preserving projections

    Limei Zhang;Lishan Qiao;Songcan Chen

  • Enhanced (PC) 2 A for face recognition with one training image per person

    Songcan Chen;Daoqiang Zhang;Zhi-Hua Zhou

  • Eyes closeness detection from still images with multi-scale histograms of principal oriented gradients

    Fengyi Song;Xiaoyang Tan;Xue Liu;Songcan Chen

Frequent Co-Authors

Daoqiang Zhang
Daoqiang Zhang Nanjing University of Aeronautics and Astronautics
Zhi-Hua Zhou
Zhi-Hua Zhou Nanjing University
Jun Liu
Jun Liu Infinia ML (United States)
Jingyu Yang
Jingyu Yang Nanjing University of Science and Technology
Dinggang Shen
Dinggang Shen ShanghaiTech University
Heng Huang
Heng Huang University of Pittsburgh
Qiang Yang
Qiang Yang Hong Kong University of Science and Technology
Xuejun Liu
Xuejun Liu China Agricultural University
Hujun Yin
Hujun Yin University of Manchester
Mingxia Liu
Mingxia Liu University of North Carolina at Chapel Hill

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