World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
14679
World Ranking
6680
National Ranking
898

Overview

Jing Liu is affiliated with the Chinese Academy of Sciences in China and has contributed extensively to the field of Computer Science, with a particular focus on Computer Vision and Pattern Recognition. Their work spans over 206 publications, which include significant research in Artificial Intelligence, Biomedical Engineering, Media Technology, and Cognitive Neuroscience.

Their research prominently covers several main topics including:

  • Multimodal Machine Learning Applications
  • Advanced Neural Network Applications
  • Advanced Image and Video Retrieval Techniques
  • Human Pose and Action Recognition
  • Video Surveillance and Tracking Methods
  • Domain Adaptation and Few-Shot Learning
  • Topic Modeling

Jing Liu's frequent collaboration network includes coauthors such as Xinxin Zhu, Xingjian He, Longteng Guo, Hanqing Lu, and Weining Wang, each contributing to multiple joint works.

The scientist has published research in a variety of notable venues, with recurring publications in:

  • arXiv (Cornell University)
  • IEEE Transactions on Multimedia
  • IEEE Transactions on Neural Networks and Learning Systems
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Pattern Recognition

Some of the recent papers authored or co-authored by Jing Liu include:

  • "Unsupervised Feature Selection Using Nonnegative Spectral Analysis" (2021), Proceedings of the AAAI Conference on Artificial Intelligence
  • "Scene Segmentation With Dual Relation-Aware Attention Network" (2020), IEEE Transactions on Neural Networks and Learning Systems
  • "AAformer: Auto-Aligned Transformer for Person Re-Identification" (2023), IEEE Transactions on Neural Networks and Learning Systems
  • "Scalable Vision Transformers with Hierarchical Pooling" (2021), 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "CPTR: Full Transformer Network for Image Captioning" (2021), arXiv (Cornell University)

Jing Liu's research focus includes the development and application of advanced neural network techniques, including transformers and attention mechanisms, which appear in studies related to scene segmentation, person re-identification, and image captioning.

Best Publications

  • Dual Attention Network for Scene Segmentation

    Jun Fu;Jing Liu;Haijie Tian;Yong Li

  • Unsupervised feature selection using nonnegative spectral analysis

    Zechao Li;Yi Yang;Jing Liu;Xiaofang Zhou

  • Robust Structured Subspace Learning for Data Representation

    Zechao Li;Jing Liu;Jinhui Tang;Hanqing Lu

  • Clustering-Guided Sparse Structural Learning for Unsupervised Feature Selection

    Zechao Li;Jing Liu;Yi Yang;Xiaofang Zhou

  • Image annotation via graph learning

    Jing Liu;Mingjing Li;Qingshan Liu;Hanqing Lu

  • Scene Segmentation With Dual Relation-Aware Attention Network

    Jun Fu;Jing Liu;Jie Jiang;Yong Li

  • Normalized and Geometry-Aware Self-Attention Network for Image Captioning

    Longteng Guo;Jing Liu;Xinxin Zhu;Peng Yao

  • Stacked Deconvolutional Network for Semantic Segmentation

    Jun Fu;Jing Liu;Yuhang Wang;Jin Zhou

  • Image classification by non-negative sparse coding, low-rank and sparse decomposition

    Chunjie Zhang;Jing Liu;Qi Tian;Changsheng Xu

  • Dual cross-media relevance model for image annotation

    Jing Liu;Bin Wang;Mingjing Li;Zhiwei Li

  • Learning ordinal discriminative features for age estimation

    Changsheng Li;Qingshan Liu;Jing Liu;Hanqing Lu

  • AAformer: Auto-Aligned Transformer for Person Re-Identification.

    Kuan Zhu;Haiyun Guo;Shiliang Zhang;Yaowei Wang

  • Aligning Linguistic Words and Visual Semantic Units for Image Captioning

    Longteng Guo;Jing Liu;Jinhui Tang;Jiangwei Li

  • Adaptive sliding mode current control with sliding mode disturbance observer for PMSM drives

    Yongting Deng;Jianli Wang;Hongwen Li;Jing Liu

  • Adaptive Context Network for Scene Parsing

    Jun Fu;Jing Liu;Yuhang Wang;Yong Li

  • User-Aware Image Tag Refinement via Ternary Semantic Analysis

    Jitao Sang;Changsheng Xu;Jing Liu

  • Partially Shared Latent Factor Learning With Multiview Data

    Jing Liu;Yu Jiang;Zechao Li;Zhi-Hua Zhou

  • Sparse representation for robust abnormality detection in crowded scenes

    Xiaobin Zhu;Xiaobin Zhu;Jing Liu;Jinqiao Wang;Changsheng Li

  • An adaptive graph model for automatic image annotation

    Jing Liu;Mingjing Li;Wei-Ying Ma;Qingshan Liu

  • MSCap: Multi-Style Image Captioning With Unpaired Stylized Text

    Longteng Guo;Jing Liu;Peng Yao;Jiangwei Li

  • CPTR: Full Transformer Network for Image Captioning

    Wei Liu;Sihan Chen;Longteng Guo;Xinxin Zhu

  • Stacked Deconvolutional Network for Semantic Segmentation

    Jun Fu;Jing Liu;Yuhang Wang;Hanqing Lu

Frequent Co-Authors

Hanqing Lu
Hanqing Lu Chinese Academy of Sciences
Zechao Li
Zechao Li Nanjing University of Science and Technology
Jinqiao Wang
Jinqiao Wang Chinese Academy of Sciences
Changsheng Xu
Changsheng Xu Chinese Academy of Sciences
Qi Tian
Qi Tian Huawei Technologies (China)
Qingming Huang
Qingming Huang University of Chinese Academy of Sciences
Qingshan Liu
Qingshan Liu Nanjing University of Information Science and Technology
Jinhui Tang
Jinhui Tang Nanjing University of Science and Technology
Jian Cheng
Jian Cheng Chinese Academy of Sciences
Mingjing Li
Mingjing Li Microsoft (United States)

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