World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
15454
World Ranking
6317
National Ranking
2822

Overview

Juyang Weng is affiliated with Michigan State University in the United States and has contributed extensively to the field of computer science. Their research primarily spans areas such as artificial intelligence, cognitive neuroscience, computational theory and mathematics, electrical and electronic engineering, and computer vision and pattern recognition.

The main topics of Weng's work include:

  • Computability, Logic, AI Algorithms
  • Reinforcement Learning in Robotics
  • Advanced Memory and Neural Computing
  • EEG and Brain-Computer Interfaces
  • Neural Networks and Applications
  • Neural dynamics and brain function
  • Domain Adaptation and Few-Shot Learning

Weng has published numerous papers with a focus on autonomous programming, developmental networks, and conscious learning. Some of the recent papers include:

  • "Autonomous Programming for General Purposes: Theory" (2020), published in the International Journal of Humanoid Robotics
  • "20 Million-Dollar Problems for Any Brain Models and a Holistic Solution: Conscious Learning" (2022), presented at the 2022 International Joint Conference on Neural Networks (IJCNN)
  • "Developmental Network-2: The Autonomous Generation of Optimal Internal-Representation Hierarchy" (2021), published in IEEE Transactions on Neural Networks and Learning Systems
  • "3D-to-2D-to-3D Conscious Learning" (2022), presented at the 2022 IEEE International Conference on Consumer Electronics (ICCE)
  • "Developmental Network Two, Its Optimality, and Emergent Turing Machines" (2022), available on arXiv (Cornell University)

Their frequent collaborators include Xiang Wu, Zejia Zheng, Sri Hrushikesh Varma Bhupathiraju, Tanisha Samant, and Alex Dresner. Weng's work is regularly published in venues such as arXiv (Cornell University), International Journal of Humanoid Robotics, the 2022 International Joint Conference on Neural Networks (IJCNN), IEEE Transactions on Neural Networks and Learning Systems, and the 2022 IEEE International Conference on Consumer Electronics (ICCE).

Juyang Weng has contributed to the book "Conscious Learning," published by World Scientific in 2022.

Best Publications

  • Camera calibration with distortion models and accuracy evaluation

    J. Weng;P. Cohen;M. Herniou

  • Using discriminant eigenfeatures for image retrieval

    D.L. Swets;J.J. Weng

  • Discriminant analysis of principal components for face recognition

    Wenyi Zhao;A. Krishnaswamy;R. Chellappa;D. L. Swets

  • Autonomous Mental Development by Robots and Animals

    Juyang Weng;James McClelland;Alex Pentland;Olaf Sporns

  • Motion and structure from two perspective views: algorithms, error analysis, and error estimation

    J. Weng;T.S. Huang;N. Ahuja

  • Candid covariance-free incremental principal component analysis

    Juyang Weng;Yilu Zhang;Wey-Shiuan Hwang

  • Optimal motion and structure estimation

    J. Weng;N. Ahuja;T.S. Huang

  • Motion and Structure from Image Sequences

    Juyang Weng;Narendra Ahuja;Thomas S. Huang

  • Motion and structure from line correspondences; closed-form solution, uniqueness, and optimization

    J. Weng;T.S. Huang;N. Ahuja

  • Matching two perspective views

    J. Weng;N. Ahuja;T.S. Huang

  • DEVELOPMENTAL ROBOTICS: THEORY AND EXPERIMENTS

    Juyang Weng

  • 3-D Motion Estimation, Understanding, and Prediction from Noisy Image Sequences

    Juyang Weng;Thomas S. Huang;Narendra Ahuja

  • Optimal registration of object views using range data

    C. Dorai;J. Weng;A.K. Jain

  • Learning recognition and segmentation of 3-D objects from 2-D images

    J.J. Weng;N. Ahuja;T.S. Huang

  • Hierarchical discriminant analysis for image retrieval

    D.L. Swets;Juyang Weng

  • Appearance-based hand sign recognition from intensity image sequences

    Yuntao Cui;Juyang Weng

  • Hierarchical discriminant regression

    W.-S. Hwang;J. Weng

  • Learning-based hand sign recognition using SHOSLIF-M

    Yuntao Cui;D.L. Swets;J.J. Weng

  • Dually Optimal Neuronal Layers: Lobe Component Analysis

    Juyang Weng;M. Luciw

  • Cresceptron: a self-organizing neural network which grows adaptively

    J. Weng;N. Ahuja;T.S. Huang

  • ESTIMATING MOTION/STRUCTURE FROM LINE CORRESPONDENCES:

    Juyang Weng;Yuncai Liu;Thomas S. Huang;Narendra Ahuja

Frequent Co-Authors

Thomas S. Huang
Thomas S. Huang University of Illinois at Urbana-Champaign
Narendra Ahuja
Narendra Ahuja University of Illinois at Urbana-Champaign
Xiangyang Xue
Xiangyang Xue Fudan University
Anil K. Jain
Anil K. Jain Michigan State University
James L. McClelland
James L. McClelland Stanford University
Philip K. McKinley
Philip K. McKinley Michigan State University
Danil V. Prokhorov
Danil V. Prokhorov Toyota Motor Corporation (Japan)
Leonid Perlovsky
Leonid Perlovsky Northeastern University
Olaf Sporns
Olaf Sporns Indiana University

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