World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
58
Citations
15710
World Ranking
3586
National Ranking
1722

Overview

Jingkuan Song is affiliated with Columbia University in the United States and works primarily in the field of Computer Science. Their research focuses extensively on areas related to Computer Vision and Pattern Recognition, which constitute the majority of their publications. Additional subfields of study include Artificial Intelligence, Signal Processing, Biomedical Engineering, and Computer Networks and Communications.

The main topics of Jingkuan Song's work encompass:

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

They have contributed a significant number of papers to several frequent publication venues, including:

  • arXiv (Cornell University)
  • IEEE Transactions on Image Processing
  • Pattern Recognition
  • IEEE Transactions on Multimedia
  • IEEE Transactions on Circuits and Systems for Video Technology

Some of the recent papers authored by or involving Jingkuan Song are:

  • Binary neural networks: A survey (2020), published in Pattern Recognition
  • Explainable deep learning for efficient and robust pattern recognition: A survey of recent developments (2021), published in Pattern Recognition
  • Spatio-Temporal Attention Networks for Action Recognition and Detection (2020), published in IEEE Transactions on Multimedia
  • BATCH: A Scalable Asymmetric Discrete Cross-Modal Hashing (2020), published in IEEE Transactions on Knowledge and Data Engineering
  • Prompting for Multi-Modal Tracking (2022), published in Proceedings of the 30th ACM International Conference on Multimedia

Jingkuan Song has collaborated frequently with a number of coauthors, prominently including Lianli Gao, Heng Tao Shen, Pengpeng Zeng, Xuanhan Wang, and Yuan-Fang Li. These collaborations reflect ongoing partnerships within their research focus areas.

Best Publications

  • A Survey on Learning to Hash

    Jingdong Wang;Ting Zhang;Jingkuan Song;Nicu Sebe

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

    Jingkuan Song;Yang Yang;Yi Yang;Zi Huang

  • Hashing for Similarity Search: A Survey

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

  • Learning Deep Representations of Appearance and Motion for Anomalous Event Detection

    Dan Xu;Elisa Ricci;Yan Yan;Jingkuan Song

  • NAIS: Neural Attentive Item Similarity Model for Recommendation

    Xiangnan He;Zhankui He;Jingkuan Song;Zhenguang Liu

  • Binary Neural Networks: A Survey

    Haotong Qin;Ruihao Gong;Xianglong Liu;Xiao Bai

  • Beyond Product Quantization: Deep Progressive Quantization for Image Retrieval

    Lianli Gao;Xiaosu Zhu;Jingkuan Song;Zhou Zhao

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

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

  • Forward and Backward Information Retention for Accurate Binary Neural Networks

    Haotong Qin;Ruihao Gong;Xianglong Liu;Mingzhu Shen

  • Explainable deep learning for efficient and robust pattern recognition: A survey of recent developments

    Xiao Bai;Xiang Wang;Xianglong Liu;Qiang Liu

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

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

  • Effective Multiple Feature Hashing for Large-Scale Near-Duplicate Video Retrieval

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

  • Self-Supervised Video Hashing With Hierarchical Binary Auto-Encoder

    Jingkuan Song;Hanwang Zhang;Xiangpeng Li;Lianli Gao

  • Salience-Guided Cascaded Suppression Network for Person Re-Identification

    Xuesong Chen;Canmiao Fu;Yong Zhao;Feng Zheng

  • From Deterministic to Generative: Multimodal Stochastic RNNs for Video Captioning

    Jingkuan Song;Yuyu Guo;Lianli Gao;Xuelong Li

  • Beyond RNNs: Positional Self-Attention with Co-Attention for Video Question Answering

    Xiangpeng Li;Jingkuan Song;Lianli Gao;Xianglong Liu

  • Quantization-based hashing

    Jingkuan Song;Lianli Gao;Li Liu;Xiaofeng Zhu

  • Hierarchical LSTMs with Adaptive Attention for Visual Captioning

    Lianli Gao;Xiangpeng Li;Jingkuan Song;Heng Tao Shen

  • Ternary Adversarial Networks With Self-Supervision for Zero-Shot Cross-Modal Retrieval

    Xing Xu;Huimin Lu;Jingkuan Song;Yang Yang

  • Local and Global Structure Preservation for Robust Unsupervised Spectral Feature Selection

    Xiaofeng Zhu;Shichao Zhang;Rongyao Hu;Yonghua Zhu

  • Hierarchical LSTMs with Adaptive Attention for Visual Captioning

    Jingkuan Song;Xiangpeng Li;Lianli Gao;Heng Tao Shen

Frequent Co-Authors

Heng Tao Shen
Heng Tao Shen University of Electronic Science and Technology of China
Lianli Gao
Lianli Gao University of Electronic Science and Technology of China
Nicu Sebe
Nicu Sebe University of Trento
Yang Yang
Yang Yang University of Electronic Science and Technology of China
Zi Huang
Zi Huang University of Queensland
Xianglong Liu
Xianglong Liu Beihang University
Fumin Shen
Fumin Shen University of Electronic Science and Technology of China
Yan Yan
Yan Yan Illinois Institute of Technology
Dongxiang Zhang
Dongxiang Zhang Zhejiang University
Elisa Ricci
Elisa Ricci Fondazione Bruno Kessler

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