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Yujin Zhu
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2020 – today
- 2023
- [c6]Zheyu He, Yujin Zhu, Linlin Wang, Liang Xu:
UMRSpell: Unifying the Detection and Correction Parts of Pre-trained Models towards Chinese Missing, Redundant, and Spelling Correction. ACL (1) 2023: 10238-10250 - 2022
- [c5]Yujin Zhu, Zilong Zhao, Robert Birke, Lydia Y. Chen:
Permutation-Invariant Tabular Data Synthesis. IEEE Big Data 2022: 5855-5864 - [i2]Yujin Zhu, Zilong Zhao, Robert Birke, Lydia Y. Chen:
Permutation-Invariant Tabular Data Synthesis. CoRR abs/2211.09286 (2022) - 2021
- [j14]Zhe Wang, Peng Jia, Xinlei Xu, Bolu Wang, Yujin Zhu, Dongdong Li:
Sample and feature selecting based ensemble learning for imbalanced problems. Appl. Soft Comput. 113(Part): 107884 (2021) - [c4]Tongtong Wu, Xuekai Li, Yuan-Fang Li, Gholamreza Haffari, Guilin Qi, Yujin Zhu, Guoqiang Xu:
Curriculum-Meta Learning for Order-Robust Continual Relation Extraction. AAAI 2021: 10363-10369 - [c3]Jiahao Chen, Zheyu He, Yujin Zhu, Liang Xu:
TKB2ert: Two-Stage Knowledge Infused Behavioral Fine-Tuned BERT. NLPCC (2) 2021: 434-446 - [i1]Tongtong Wu, Xuekai Li, Yuan-Fang Li, Reza Haffari, Guilin Qi, Yujin Zhu, Guoqiang Xu:
Curriculum-Meta Learning for Order-Robust Continual Relation Extraction. CoRR abs/2101.01926 (2021) - 2020
- [j13]Zonghai Zhu, Zhe Wang, Dongdong Li, Yujin Zhu, Wenli Du:
Geometric Structural Ensemble Learning for Imbalanced Problems. IEEE Trans. Cybern. 50(4): 1617-1629 (2020) - [j12]Zhe Wang, Chenjie Cao, Yujin Zhu:
Entropy and Confidence-Based Undersampling Boosting Random Forests for Imbalanced Problems. IEEE Trans. Neural Networks Learn. Syst. 31(12): 5178-5191 (2020)
2010 – 2019
- 2018
- [j11]Yujin Zhu, Zhe Wang, Chenjie Cao, Daqi Gao:
Regularized fisher linear discriminant through two threshold variation strategies for imbalanced problems. Knowl. Based Syst. 150: 57-73 (2018) - [j10]Yujin Zhu, Zhe Wang, Hongyuan Zha, Daqi Gao:
Boundary-Eliminated Pseudoinverse Linear Discriminant for Imbalanced Problems. IEEE Trans. Neural Networks Learn. Syst. 29(6): 2581-2594 (2018) - 2017
- [j9]Yujin Zhu, Zhe Wang, Daqi Gao, Dongdong Li:
GMFLLM: A general manifold framework unifying three classic models for dimensionality reduction. Eng. Appl. Artif. Intell. 65: 421-432 (2017) - [j8]Zhe Wang, Guowei Zhang, Dongdong Li, Yujin Zhu, Chenjie Cao:
Locality sensitive discriminant matrixized learning machine. Knowl. Based Syst. 116: 13-25 (2017) - [j7]Dongdong Li, Yujin Zhu, Zhe Wang, Chuanyu Chong, Daqi Gao:
Regularized Matrix-Pattern-Oriented Classification Machine with Universum. Neural Process. Lett. 45(3): 1077-1098 (2017) - [c2]Zhiguang Tang, Haihang Zhou, Yujin Zhu, Run Tian, Jianguo Yao:
Quantitative Availability Analysis of Hierarchical Datacenter under Power Oversubscription. SMARTCOMP 2017: 1-8 - 2016
- [j6]Yujin Zhu, Zhe Wang, Daqi Gao:
Matrixized Learning Machine with Feature-Clustering Interpolation. Neural Process. Lett. 44(2): 291-306 (2016) - 2015
- [j5]Zhe Wang, Yun Meng, Yujin Zhu, Qi Fan, Songcan Chen, Daqi Gao:
McMatMHKS: A direct multi-class matrixized learning machine. Knowl. Based Syst. 88: 184-194 (2015) - [j4]Yujin Zhu, Zhe Wang, Daqi Gao:
Gravitational fixed radius nearest neighbor for imbalanced problem. Knowl. Based Syst. 90: 224-238 (2015) - [j3]Yujin Zhu, Zhe Wang, Daqi Gao:
Matrixized learning machine with modified pairwise constraints. Pattern Recognit. 48(11): 3797-3809 (2015) - [c1]Jingfan Guo, Tongwei Ren, Jia Bei, Yujin Zhu:
Salient object detection in RGB-D image based on saliency fusion and propagation. ICIMCS 2015: 59:1-59:5 - 2014
- [j2]Zhe Wang, Yujin Zhu, Daqi Gao, Weibin Guo:
Globalized and localized matrix-pattern-oriented classification machine. Appl. Soft Comput. 25: 379-390 (2014) - [j1]Zhe Wang, Yujin Zhu, Wenwen Liu, Zhihua Chen, Daqi Gao:
Multi-view learning with Universum. Knowl. Based Syst. 70: 376-391 (2014)
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