World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
51
Citations
13619
World Ranking
5254
National Ranking
709

Overview

Jun Yu is affiliated with Hangzhou Dianzi University in China and has a research focus within the field of Computer Science, particularly in the subfields of Computer Vision and Pattern Recognition, Artificial Intelligence, and Media Technology.

The scientist's recent publications reflect diverse interests spanning machine learning and multimedia applications. Key papers include:

  • "A comprehensive survey on pretrained foundation models: a history from BERT to ChatGPT," 2024, International Journal of Machine Learning and Cybernetics
  • "Deep Graph-neighbor Coherence Preserving Network for Unsupervised Cross-modal Hashing," 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • "A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT," 2023, arXiv (Cornell University)
  • "Toward Realistic Face Photo-Sketch Synthesis via Composition-Aided GANs," 2020, IEEE Transactions on Cybernetics
  • "Transformer-based multimodal feature enhancement networks for multimodal depression detection integrating video, audio and remote photoplethysmograph signals," 2023, Information Fusion

Frequent co-authors associated with Jun Yu's research include:

  • Yu Zhou
  • Qingming Huang
  • Jianping Fan
  • Shiqing Zhang
  • Min Meng

Jun Yu has contributed to various publication venues, with multiple papers appearing in:

  • arXiv (Cornell University)
  • IEEE Transactions on Circuits and Systems for Video Technology
  • IEEE Transactions on Multimedia
  • Neurocomputing
  • ACM Transactions on Multimedia Computing Communications and Applications

The scientist's work covers a broad range of topics including:

  • Multimodal Machine Learning Applications
  • Advanced Image and Video Retrieval Techniques
  • Domain Adaptation and Few-Shot Learning
  • Human Pose and Action Recognition
  • Generative Adversarial Networks and Image Synthesis
  • Anomaly Detection Techniques and Applications
  • Video Surveillance and Tracking Methods

Jun Yu has also contributed to book publications under the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Notable works include two editions of "Communications and Networking" published in 2020 and 2022.

Best Publications

  • Deep Modular Co-Attention Networks for Visual Question Answering

    Zhou Yu;Jun Yu;Yuhao Cui;Dacheng Tao

  • Multi-modal Factorized Bilinear Pooling with Co-attention Learning for Visual Question Answering

    Zhou Yu;Jun Yu;Jianping Fan;Dacheng Tao

  • Multimodal Deep Autoencoder for Human Pose Recovery

    Chaoqun Hong;Jun Yu;Jian Wan;Dacheng Tao

  • Click Prediction for Web Image Reranking Using Multimodal Sparse Coding

    Jun Yu;Yong Rui;Dacheng Tao

  • Beyond Bilinear: Generalized Multimodal Factorized High-Order Pooling for Visual Question Answering

    Zhou Yu;Jun Yu;Chenchao Xiang;Jianping Fan

  • Hierarchical Deep Click Feature Prediction for Fine-grained Image Recognition.

    Jun Yu;Min Tan;Hongyuan Zhang;Dacheng Tao

  • Learning to Rank Using User Clicks and Visual Features for Image Retrieval

    Jun Yu;Dacheng Tao;Meng Wang;Yong Rui

  • Adaptive Hypergraph Learning and its Application in Image Classification

    Jun Yu;Dacheng Tao;Meng Wang

  • Multimodal Transformer With Multi-View Visual Representation for Image Captioning

    Jun Yu;Jing Li;Zhou Yu;Qingming Huang

  • Deep Multimodal Distance Metric Learning Using Click Constraints for Image Ranking

    Jun Yu;Xiaokang Yang;Fei Gao;Dacheng Tao

  • Spatial Pyramid-Enhanced NetVLAD With Weighted Triplet Loss for Place Recognition

    Jun Yu;Chaoyang Zhu;Jian Zhang;Qingming Huang

  • iPrivacy: Image Privacy Protection by Identifying Sensitive Objects via Deep Multi-Task Learning

    Jun Yu;Baopeng Zhang;Zhengzhong Kuang;Dan Lin

  • Multimodal Face-Pose Estimation With Multitask Manifold Deep Learning

    Chaoqun Hong;Jun Yu;Jian Zhang;Xiongnan Jin

  • High-order distance-based multiview stochastic learning in image classification.

    Jun Yu;Yong Rui;Yuan Yan Tang;Dacheng Tao

  • Coupled Deep Autoencoder for Single Image Super-Resolution

    Kun Zeng;Jun Yu;Ruxin Wang;Cuihua Li

  • Semisupervised Multiview Distance Metric Learning for Cartoon Synthesis

    Jun Yu;Meng Wang;Dacheng Tao

  • Image-Based Three-Dimensional Human Pose Recovery by Multiview Locality-Sensitive Sparse Retrieval

    Chaoqun Hong;Jun Yu;Dacheng Tao;Meng Wang

  • Leveraging Content Sensitiveness and User Trustworthiness to Recommend Fine-Grained Privacy Settings for Social Image Sharing

    Jun Yu;Zhenzhong Kuang;Baopeng Zhang;Wei Zhang

  • Local Deep-Feature Alignment for Unsupervised Dimension Reduction

    Jian Zhang;Jun Yu;Dacheng Tao

  • ActivityNet-QA: A Dataset for Understanding Complex Web Videos via Question Answering

    Zhou Yu;Dejing Xu;Jun Yu;Ting Yu

Frequent Co-Authors

Dacheng Tao
Dacheng Tao Nanyang Technological University
Zhou Yu
Zhou Yu Hangzhou Dianzi University
Jianping Fan
Jianping Fan University of North Carolina at Charlotte
Dapeng Tao
Dapeng Tao Yunnan University
Meng Wang
Meng Wang Hefei University of Technology
Qingming Huang
Qingming Huang University of Chinese Academy of Sciences
Qi Tian
Qi Tian Huawei Technologies (China)
Yong Rui
Yong Rui Lenovo (China)
Jonathan Li
Jonathan Li University of Waterloo
Josef Kittler
Josef Kittler University of Surrey

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