Yujin Zhu

Orcid: 0000-0002-6666-2870

According to our database1, Yujin Zhu authored at least 25 papers between 2014 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Scenario dynamics-informed enhancement of power grid resilience to typhoons.
Reliab. Eng. Syst. Saf., 2026

2025
Risk-Informed Resilience Enhancement of Power System against Typhoon Disaster.
Proceedings of the 2025 9th International Conference on System Reliability and Safety (ICSRS), 2025

T3: A Novel Zero-Shot Transfer Learning Framework Iteratively Training on an Assistant Task for a Target Task.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

2024
Knowledge Editing for Large Language Model with Knowledge Neuronal Ensemble.
CoRR, 2024

Automated Software Test Input Generation with Diffusion Models.
Proceedings of the Software Fault Prevention, Verification, and Validation, 2024

2023
UMRSpell: Unifying the Detection and Correction Parts of Pre-trained Models towards Chinese Missing, Redundant, and Spelling Correction.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Permutation-Invariant Tabular Data Synthesis.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Sample and feature selecting based ensemble learning for imbalanced problems.
Appl. Soft Comput., 2021

TKB<sup>2</sup>ert: Two-Stage Knowledge Infused Behavioral Fine-Tuned BERT.
Proceedings of the Natural Language Processing and Chinese Computing, 2021

Curriculum-Meta Learning for Order-Robust Continual Relation Extraction.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Entropy and Confidence-Based Undersampling Boosting Random Forests for Imbalanced Problems.
IEEE Trans. Neural Networks Learn. Syst., 2020

Geometric Structural Ensemble Learning for Imbalanced Problems.
IEEE Trans. Cybern., 2020

2018
Boundary-Eliminated Pseudoinverse Linear Discriminant for Imbalanced Problems.
IEEE Trans. Neural Networks Learn. Syst., 2018

Regularized fisher linear discriminant through two threshold variation strategies for imbalanced problems.
Knowl. Based Syst., 2018

2017
Regularized Matrix-Pattern-Oriented Classification Machine with Universum.
Neural Process. Lett., 2017

Locality sensitive discriminant matrixized learning machine.
Knowl. Based Syst., 2017

GMFLLM: A general manifold framework unifying three classic models for dimensionality reduction.
Eng. Appl. Artif. Intell., 2017

Quantitative Availability Analysis of Hierarchical Datacenter under Power Oversubscription.
Proceedings of the 2017 IEEE International Conference on Smart Computing, 2017

2016
Matrixized Learning Machine with Feature-Clustering Interpolation.
Neural Process. Lett., 2016

2015
Matrixized learning machine with modified pairwise constraints.
Pattern Recognit., 2015

Gravitational fixed radius nearest neighbor for imbalanced problem.
Knowl. Based Syst., 2015

McMatMHKS: A direct multi-class matrixized learning machine.
Knowl. Based Syst., 2015

Salient object detection in RGB-D image based on saliency fusion and propagation.
Proceedings of the 7th International Conference on Internet Multimedia Computing and Service, 2015

2014
Multi-view learning with Universum.
Knowl. Based Syst., 2014

Globalized and localized matrix-pattern-oriented classification machine.
Appl. Soft Comput., 2014


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