World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
55
Citations
13230
World Ranking
4285
National Ranking
569

Overview

Shiji Song is affiliated with Tsinghua University in China and has an extensive publication record primarily in computer science and engineering. Their research spans multiple subfields, with a focus on computer vision, artificial intelligence, and control and systems engineering.

The scientist's work covers key topics including domain adaptation and few-shot learning, advanced neural network applications, and multimodal machine learning applications. Additional topics include advanced image and video retrieval techniques, human pose and action recognition, machine learning and data classification, as well as advanced memory and neural computing.

Frequent co-authors collaborating with Shiji Song include Gao Huang, Yulin Wang, Yizeng Han, Haojun Jiang, and Chaofei Wang. These collaborations reflect a consistent engagement with researchers contributing to their areas of focus.

Shiji Song has published in several notable venues, among them:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Neurocomputing
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • IEEE Transactions on Neural Networks and Learning Systems

Selected recent papers illustrate the scope and areas of their research:

  • "Vision Transformer with Deformable Attention", 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Dynamic Neural Networks: A Survey", 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "On the Integration of Self-Attention and Convolution", 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Regularizing Deep Networks with Semantic Data Augmentation", 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Domain Adaptation via Prompt Learning", 2023, IEEE Transactions on Neural Networks and Learning Systems

The volume and diversity of Shiji Song's research demonstrate a sustained contribution to advancing knowledge in computer vision and artificial intelligence, with an emphasis on contemporary neural network methods and domain adaptation strategies. The integration of self-attention mechanisms and transformer architectures appears prominently in their recent work.

Best Publications

  • Trends in extreme learning machines

    Gao Huang;Guang-Bin Huang;Shiji Song;Keyou You

  • Semi-Supervised and Unsupervised Extreme Learning Machines

    Gao Huang;Shiji Song;Jatinder N. D. Gupta;Cheng Wu

  • Dynamic Neural Networks: A Survey

    Yizeng Han;Gao Huang;Shiji Song;Le Yang

  • Stabilization of Delay Systems: Delay-Dependent Impulsive Control

    Xiaodi Li;Shiji Song

  • 3D Object Detection with Pointformer

    Xuran Pan;Zhuofan Xia;Shiji Song;Li Erran Li

  • Carbon-efficient scheduling of flow shops by multi-objective optimization

    Jian-Ya Ding;Shiji Song;Cheng Wu

  • Domain Invariant and Class Discriminative Feature Learning for Visual Domain Adaptation

    Shuang Li;Shiji Song;Gao Huang;Zhengming Ding

  • Impulsive Control for Existence, Uniqueness, and Global Stability of Periodic Solutions of Recurrent Neural Networks With Discrete and Continuously Distributed Delays

    Xiaodi Li;Shiji Song

  • Resolution Adaptive Networks for Efficient Inference

    Le Yang;Yizeng Han;Xi Chen;Shiji Song

  • Existence and uniqueness of solutions to Cauchy problem of fuzzy differential equations

    Shiji Song;Congxin Wu

  • Parallel Machine Scheduling Under Time-of-Use Electricity Prices: New Models and Optimization Approaches

    Jian-Ya Ding;Shiji Song;Rui Zhang;Raymond Chiong

  • Lyapunov conditions for finite-time stability of time-varying time-delay systems

    Xiaodi Li;Xueyan Yang;Shiji Song

  • Domain Adaptation via Prompt Learning

    Unknown

  • Effect of delayed impulses on input-to-state stability of nonlinear systems

    Xiaodi Li;Xiaoli Zhang;Shiji Song

  • Exponential Stability of Nonlinear Systems With Delayed Impulses and Applications

    Xiaodi Li;Shiji Song;Jianhong Wu

  • Regularizing Deep Networks with Semantic Data Augmentation.

    Yulin Wang;Gao Huang;Shiji Song;Xuran Pan

  • Depth Control of Model-Free AUVs via Reinforcement Learning

    Hui Wu;Shiji Song;Keyou You;Cheng Wu

  • An improved iterated greedy algorithm with a Tabu-based reconstruction strategy for the no-wait flowshop scheduling problem

    Jian-Ya Ding;Shiji Song;Jatinder N.D. Gupta;Rui Zhang

  • A hybrid artificial bee colony algorithm for the job shop scheduling problem

    Rui Zhang;Shiji Song;Cheng Wu

  • Distributed Convex Optimization with Inequality Constraints over Time-Varying Unbalanced Digraphs

    Pei Xie;Keyou You;Roberto Tempo;Shiji Song

  • Glance and Focus: a Dynamic Approach to Reducing Spatial Redundancy in Image Classification.

    Yulin Wang;Kangchen Lv;Rui Huang;Shiji Song

  • Implicit Semantic Data Augmentation for Deep Networks

    Yulin Wang;Xuran Pan;Shiji Song;Hong Zhang

  • Implicit Semantic Data Augmentation for Deep Networks

    Yulin Wang;Xuran Pan;Shiji Song;Hong Zhang

  • Cooperative localization for autonomous underwater vehicles using parallel projection

    Qizhu Chen;Keyou You;Shiji Song

Frequent Co-Authors

Cheng Wu
Cheng Wu Tsinghua University
Gao Huang
Gao Huang Tsinghua University
Keyou You
Keyou You Tsinghua University
Xiaodi Li
Xiaodi Li Shandong Normal University
Rui Zhang
Rui Zhang National University of Singapore
Jatinder N. D. Gupta
Jatinder N. D. Gupta University of Alabama in Huntsville
Raymond Chiong
Raymond Chiong University of Newcastle Australia
Zuo-Jun Max Shen
Zuo-Jun Max Shen University of Hong Kong
Kang Li
Kang Li University of Leeds
Kilian Q. Weinberger
Kilian Q. Weinberger Cornell University

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