Yujin Zhu

According to our database, Yujin Zhu authored at least 22 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Knowledge Editing for Large Language Model with Knowledge Neuronal Ensemble.

Yongchang Li, Yujin Zhu, Tao Yan, Shijian Fan, Gang Wu, Liang Xu

CoRR, 2024

T3: A Novel Zero-shot Transfer Learning Framework Iteratively Training on an Assistant Task for a Target Task.

Xindi Tong, Yujin Zhu, Shijian Fan, Liang Xu

CoRR, 2024

2023

UMRSpell: Unifying the Detection and Correction Parts of Pre-trained Models towards Chinese Missing, Redundant, and Spelling Correction.

Zheyu He, Yujin Zhu, Linlin Wang, Liang Xu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Permutation-Invariant Tabular Data Synthesis.

Yujin Zhu, Zilong Zhao, Robert Birke, Lydia Y. Chen

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Sample and feature selecting based ensemble learning for imbalanced problems.

Zhe Wang, Peng Jia, Xinlei Xu, Bolu Wang, Yujin Zhu, Dongdong Li

Appl. Soft Comput., 2021

TKB²ert: Two-Stage Knowledge Infused Behavioral Fine-Tuned BERT.

Jiahao Chen, Zheyu He, Yujin Zhu, Liang Xu

Proceedings of the Natural Language Processing and Chinese Computing, 2021

Curriculum-Meta Learning for Order-Robust Continual Relation Extraction.

Tongtong Wu, Xuekai Li, Yuan-Fang Li, Gholamreza Haffari, Guilin Qi, Yujin Zhu, Guoqiang Xu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Entropy and Confidence-Based Undersampling Boosting Random Forests for Imbalanced Problems.

Zhe Wang, Chenjie Cao, Yujin Zhu

IEEE Trans. Neural Networks Learn. Syst., 2020

Geometric Structural Ensemble Learning for Imbalanced Problems.

Zonghai Zhu, Zhe Wang, Dongdong Li, Yujin Zhu, Wenli Du

IEEE Trans. Cybern., 2020

2018

Boundary-Eliminated Pseudoinverse Linear Discriminant for Imbalanced Problems.

Yujin Zhu, Zhe Wang, Hongyuan Zha, Daqi Gao

IEEE Trans. Neural Networks Learn. Syst., 2018

Regularized fisher linear discriminant through two threshold variation strategies for imbalanced problems.

Yujin Zhu, Zhe Wang, Chenjie Cao, Daqi Gao

Knowl. Based Syst., 2018

2017

Regularized Matrix-Pattern-Oriented Classification Machine with Universum.

Dongdong Li, Yujin Zhu, Zhe Wang, Chuanyu Chong, Daqi Gao

Neural Process. Lett., 2017

Locality sensitive discriminant matrixized learning machine.

Zhe Wang, Guowei Zhang, Dongdong Li, Yujin Zhu, Chenjie Cao

Knowl. Based Syst., 2017

GMFLLM: A general manifold framework unifying three classic models for dimensionality reduction.

Yujin Zhu, Zhe Wang, Daqi Gao, Dongdong Li

Eng. Appl. Artif. Intell., 2017

Quantitative Availability Analysis of Hierarchical Datacenter under Power Oversubscription.

Zhiguang Tang, Haihang Zhou, Yujin Zhu, Run Tian, Jianguo Yao

Proceedings of the 2017 IEEE International Conference on Smart Computing, 2017

2016

Matrixized Learning Machine with Feature-Clustering Interpolation.

Yujin Zhu, Zhe Wang, Daqi Gao

Neural Process. Lett., 2016

2015

Matrixized learning machine with modified pairwise constraints.

Yujin Zhu, Zhe Wang, Daqi Gao

Pattern Recognit., 2015

Gravitational fixed radius nearest neighbor for imbalanced problem.

Yujin Zhu, Zhe Wang, Daqi Gao

Knowl. Based Syst., 2015

McMatMHKS: A direct multi-class matrixized learning machine.

Zhe Wang, Yun Meng, Yujin Zhu, Qi Fan, Songcan Chen, Daqi Gao

Knowl. Based Syst., 2015

Salient object detection in RGB-D image based on saliency fusion and propagation.

Jingfan Guo, Tongwei Ren, Jia Bei, Yujin Zhu

Proceedings of the 7th International Conference on Internet Multimedia Computing and Service, 2015

2014

Multi-view learning with Universum.

Zhe Wang, Yujin Zhu, Wenwen Liu, Zhihua Chen, Daqi Gao

Knowl. Based Syst., 2014

Globalized and localized matrix-pattern-oriented classification machine.

Zhe Wang, Yujin Zhu, Daqi Gao, Weibin Guo

Appl. Soft Comput., 2014