Liang Zhang

Orcid: 0000-0003-1566-4902

Affiliations:
  • Beihang University, School of Computer Science and Engineering, Beijing, China (PhD 2007)


According to our database1, Liang Zhang authored at least 14 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
A Peer Grading Approach for Open-ended Programming Projects Based on Binary System and Swiss System.
Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

2022
Uncertainty estimation for stereo matching based on evidential deep learning.
Pattern Recognit., 2022

A modified interval type-2 Takagi-Sugeno fuzzy neural network and its convergence analysis.
Pattern Recognit., 2022

Learning multi-view visual correspondences with self-supervision.
Displays, 2022

An Online Learning Help Approach based on Q&A sites in Programming Course.
Proceedings of the IEEE International Conference on Teaching, 2022

A Comprehensive Experiment Approach to Enhancing Computer Engineering Ability.
Proceedings of the IEEE Frontiers in Education Conference, 2022

Research to Practice in Computer Programming Course using Flipped Classroom.
Proceedings of the IEEE Frontiers in Education Conference, 2022

2021
Multi-view stereo in the Deep Learning Era: A comprehensive revfiew.
Displays, 2021

Feature Selection for Fuzzy Neural Networks using Group Lasso Regularization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Relation-Aware Reasoning with Graph Convolutional Network.
Proceedings of the Image and Graphics - 11th International Conference, 2021

2020
Subspace Structure Regularized Nonnegative Matrix Factorization for Hyperspectral Unmixing.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

HMFlow: Hybrid Matching Optical Flow Network for Small and Fast-Moving Objects.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Fast Subspace Clustering Based on the Kronecker Product.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Matrix Classifier On Dynamic Functional Connectivity For Mci Identification.
Proceedings of the IEEE International Conference on Image Processing, 2020


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