World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
72
Citations
18137
World Ranking
1699
National Ranking
231

Overview

Yue Gao is a researcher affiliated with Tsinghua University in China. Their work primarily spans the fields of Computer Science and Engineering, with a significant focus on Computer Vision and Pattern Recognition, Artificial Intelligence, and related subfields.

The scientist has contributed extensively to topics such as:

  • Advanced Graph Neural Networks
  • 3D Shape Modeling and Analysis
  • Advanced Image and Video Retrieval Techniques
  • 3D Surveying and Cultural Heritage
  • Graph Theory and Algorithms
  • Complex Network Analysis Techniques
  • Advanced Vision and Imaging

Among Yue Gao's notable recent publications are:

  • HGNN+: General Hypergraph Neural Networks, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Deep Multi-View Enhancement Hashing for Image Retrieval, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Hypergraph Learning: Methods and Practices, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Improving Image Captioning by Leveraging Intra- and Inter-layer Global Representation in Transformer Network, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • Domain General Face Forgery Detection by Learning to Weight, 2021, Proceedings of the AAAI Conference on Artificial Intelligence

The venues in which Yue Gao frequently publishes include:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • SSRN Electronic Journal
  • IEEE Transactions on Image Processing
  • Proceedings of the AAAI Conference on Artificial Intelligence

Collaborative work is a key aspect of Yue Gao's research activities. Frequent co-authors include:

  • Shaoyi Du
  • Qionghai Dai
  • Xibin Zhao
  • Yifan Feng
  • Shihui Ying

In addition to journal and conference publications, Yue Gao has published a book titled Hypergraph Computation in 2023 through Springer International Publishing.

Best Publications

  • Hypergraph Neural Networks

    Yifan Feng;Haoxuan You;Zizhao Zhang;Rongrong Ji

  • 3-D Object Retrieval and Recognition With Hypergraph Analysis

    Yue Gao;Meng Wang;Dacheng Tao;Rongrong Ji

  • GVCNN: Group-View Convolutional Neural Networks for 3D Shape Recognition

    Yifan Feng;Zizhao Zhang;Xibin Zhao;Rongrong Ji

  • Visual-Textual Joint Relevance Learning for Tag-Based Social Image Search

    Yue Gao;Meng Wang;Zheng-Jun Zha;Jialie Shen

  • Deep Multi-View Enhancement Hashing for Image Retrieval

    Chenggang Yan;Biao Gong;Yuxuan Wei;Yue Gao

  • Exploring Principles-of-Art Features For Image Emotion Recognition

    Sicheng Zhao;Yue Gao;Xiaolei Jiang;Hongxun Yao

  • Dynamic Hypergraph Neural Networks.

    Jianwen Jiang;Yuxuan Wei;Yifan Feng;Jingxuan Cao

  • Hypergraph Learning: Methods and Practices.

    Yue Gao;Zizhao Zhang;Haojie Lin;Xibin Zhao

  • MeshNet: Mesh Neural Network for 3D Shape Representation

    Yutong Feng;Yifan Feng;Haoxuan You;Xibin Zhao

  • Camera Constraint-Free View-Based 3-D Object Retrieval

    Yue Gao;Jinhui Tang;Richang Hong;Shuicheng Yan

  • Improved and promising identification of human MicroRNAs by incorporating a high-quality negative set

    Leyi Wei;Minghong Liao;Yue Gao;Rongrong Ji

  • Spectral-Spatial Constraint Hyperspectral Image Classification

    Rongrong Ji;Yue Gao;Richang Hong;Qiong Liu

  • High-order resting-state functional connectivity network for MCI classification

    Xiaobo Chen;Han Zhang;Yue Gao;Chong Yaw Wee

  • Large-Scale Cross-Modality Search via Collective Matrix Factorization Hashing

    Guiguang Ding;Yuchen Guo;Jile Zhou;Yue Gao

  • Representative Discovery of Structure Cues for Weakly-Supervised Image Segmentation

    Luming Zhang;Yue Gao;Yingjie Xia;Ke Lu

  • Less is More: Efficient 3-D Object Retrieval With Query View Selection

    Yue Gao;Meng Wang;Zheng-Jun Zha;Qi Tian

  • CORE: a content-based retrieval engine for multimedia information systems

    J. K. Wu;A. Desai Narasimhalu;B. M. Mehtre;C. P. Lam

  • Detecting Anatomical Landmarks for Fast Alzheimer’s Disease Diagnosis

    Jun Zhang;Yue Gao;Yaozong Gao;Brent C. Munsell

  • 3-D Object Retrieval With Hausdorff Distance Learning

    Yue Gao;Meng Wang;Rongrong Ji;Xindong Wu

  • Dual Channel Hypergraph Collaborative Filtering

    Shuyi Ji;Yifan Feng;Rongrong Ji;Xibin Zhao

  • Continuous Probability Distribution Prediction of Image Emotions via Multitask Shared Sparse Regression

    Sicheng Zhao;Hongxun Yao;Yue Gao;Rongrong Ji

Frequent Co-Authors

Rongrong Ji
Rongrong Ji Xiamen University
Qionghai Dai
Qionghai Dai Tsinghua University
Tat-Seng Chua
Tat-Seng Chua National University of Singapore
Guiguang Ding
Guiguang Ding Tsinghua University
Sicheng Zhao
Sicheng Zhao Tsinghua University
Jungong Han
Jungong Han Aberystwyth University
Xuelong Li
Xuelong Li China Telecom (China)
Dinggang Shen
Dinggang Shen ShanghaiTech University
Qi Tian
Qi Tian Huawei Technologies (China)
Meng Wang
Meng Wang Hefei University of Technology

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