World's Best Scientists 2026 revealed!
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Computer Science
China
2026

D-Index & Metrics

Computer Science

D-Index
92
Citations
32143
World Ranking
546
National Ranking
74

Research.com Recognitions

  • 2026 - Research.com Computer Science in China Leader Award
  • 2025 - Research.com Computer Science in China Leader Award
  • 2023 - Research.com Computer Science in China Leader Award
  • 2022 - Research.com Computer Science in China Leader Award

Overview

Heng Tao Shen is affiliated with the University of Electronic Science and Technology of China. Their research primarily belongs to the field of Computer Science, with a substantial focus on specialized subfields and topics within this domain.

The main subfields of study for Heng Tao Shen include:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Media Technology
  • Signal Processing
  • Electrical and Electronic Engineering

Research topics frequently addressed by Heng Tao Shen are:

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

Heng Tao Shen has coauthored extensively with several researchers. Notable frequent collaborators include:

  • Lianli Gao
  • Jingkuan Song
  • Yang Yang
  • Xing Xu
  • Jingjing Li

The scientist has contributed significantly to various academic venues, with repeated publications in:

  • arXiv (Cornell University)
  • IEEE Transactions on Multimedia
  • IEEE Transactions on Circuits and Systems for Video Technology
  • IEEE Transactions on Neural Networks and Learning Systems
  • IEEE Transactions on Image Processing

Selected recent papers illustrate Heng Tao Shen's research themes and publication record:

  • Exploiting Subspace Relation in Semantic Labels for Cross-Modal Hashing, 2020, IEEE Transactions on Knowledge and Data Engineering
  • Deep Fuzzy Hashing Network for Efficient Image Retrieval, 2020, IEEE Transactions on Fuzzy Systems
  • Maximum Density Divergence for Domain Adaptation, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Cross-Modal Attention With Semantic Consistence for Image-Text Matching, 2020, IEEE Transactions on Neural Networks and Learning Systems
  • Remote Sensing Image Super-Resolution via Mixed High-Order Attention Network, 2020, IEEE Transactions on Geoscience and Remote Sensing

Best Publications

  • Supervised Discrete Hashing

    Fumin Shen;Chunhua Shen;Wei Liu;Heng Tao Shen

  • A Survey on Learning to Hash

    Jingdong Wang;Ting Zhang;Jingkuan Song;Nicu Sebe

  • L2,1-Norm Regularized Discriminative Feature Selection for Unsupervised

    Yi Yang;Heng Tao Shen;Zhigang Ma;Zi Huang

  • l 2,1 -norm regularized discriminative feature selection for unsupervised learning

    Yi Yang;Heng Tao Shen;Zhigang Ma;Zi Huang

  • Adversarial Cross-Modal Retrieval

    Bokun Wang;Yang Yang;Xing Xu;Alan Hanjalic

  • Inter-media hashing for large-scale retrieval from heterogeneous data sources

    Jingkuan Song;Yang Yang;Yi Yang;Zi Huang

  • Video Captioning With Attention-Based LSTM and Semantic Consistency

    Lianli Gao;Zhao Guo;Hanwang Zhang;Xing Xu

  • Hashing for Similarity Search: A Survey

    Jingdong Wang;Heng Tao Shen;Jingkuan Song;Jianqiu Ji

  • Binary Multi-View Clustering

    Zheng Zhang;Li Liu;Fumin Shen;Heng Tao Shen

  • Discovery of convoys in trajectory databases

    Hoyoung Jeung;Man Lung Yiu;Xiaofang Zhou;Christian S. Jensen

  • Beyond Product Quantization: Deep Progressive Quantization for Image Retrieval

    Lianli Gao;Xiaosu Zhu;Jingkuan Song;Zhou Zhao

  • Discovering popular routes from trajectories

    Zaiben Chen;Heng Tao Shen;Xiaofang Zhou

  • Learning Discriminative Binary Codes for Large-scale Cross-modal Retrieval

    Xing Xu;Fumin Shen;Yang Yang;Heng Tao Shen

  • A Hybrid Prediction Model for Moving Objects

    Hoyoung Jeung;Qing Liu;Heng Tao Shen;Xiaofang Zhou

  • Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization

    Fumin Shen;Yan Xu;Li Liu;Yang Yang

  • Multiple feature hashing for real-time large scale near-duplicate video retrieval

    Jingkuan Song;Yi Yang;Zi Huang;Heng Tao Shen

  • Deep Fuzzy Hashing Network for Efficient Image Retrieval

    Huimin Lu;Ming Zhang;Xing Xu;Yujie Li

  • Linear cross-modal hashing for efficient multimedia search

    Xiaofeng Zhu;Zi Huang;Heng Tao Shen;Xin Zhao

  • Maximum Density Divergence for Domain Adaptation

    Jingjing Li;Erpeng Chen;Zhengming Ding;Lei Zhu

  • Transfer Independently Together: A Generalized Framework for Domain Adaptation

    Jingjing Li;Ke Lu;Zi Huang;Lei Zhu

  • Searching trajectories by locations: an efficiency study

    Zaiben Chen;Heng Tao Shen;Xiaofang Zhou;Yu Zheng

  • Beyond Frame-level CNN: Saliency-Aware 3-D CNN With LSTM for Video Action Recognition

    Xuanhan Wang;Lianli Gao;Jingkuan Song;Heng Tao Shen

  • Proceedings of the 23rd ACM international conference on Multimedia

    Xiaofang Zhou;Alan F. Smeaton;Qi Tian;Dick C.A. Bulterman

Frequent Co-Authors

Yang Yang
Yang Yang University of Electronic Science and Technology of China
Zi Huang
Zi Huang University of Queensland
Fumin Shen
Fumin Shen University of Electronic Science and Technology of China
Xiaofang Zhou
Xiaofang Zhou Hong Kong University of Science and Technology
Jingkuan Song
Jingkuan Song Columbia University
Lianli Gao
Lianli Gao University of Electronic Science and Technology of China
Dongxiang Zhang
Dongxiang Zhang Zhejiang University
Bin Cui
Bin Cui Peking University
Chunhua Shen
Chunhua Shen Zhejiang University
Xuelong Li
Xuelong Li China Telecom (China)

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