Globalized and localized matrix-pattern-oriented classification machine. - Zhe Wang 002; Yujin Zhu; Daqi Gao; Weibin Guo (Appl. Soft Comput., 2014)

Multi-view learning with Universum. - Zhe Wang 002; Yujin Zhu; Wenwen Liu; Zhihua Chen; Daqi Gao (Knowl. Based Syst., 2014)

Salient object detection in RGB-D image based on saliency fusion and propagation. - Jingfan Guo; Tongwei Ren; Jia Bei; Yujin Zhu (ICIMCS, 2015)

McMatMHKS: A direct multi-class matrixized learning machine. - Zhe Wang 002; Yun Meng; Yujin Zhu; Qi Fan; Songcan Chen; Daqi Gao (Knowl. Based Syst., 2015)

Gravitational fixed radius nearest neighbor for imbalanced problem. - Yujin Zhu; Zhe Wang 002; Daqi Gao (Knowl. Based Syst., 2015)

Matrixized learning machine with modified pairwise constraints. - Yujin Zhu; Zhe Wang 002; Daqi Gao (Pattern Recognit., 2015)

Matrixized Learning Machine with Feature-Clustering Interpolation. - Yujin Zhu; Zhe Wang 002; Daqi Gao (Neural Process. Lett., 2016)

Quantitative Availability Analysis of Hierarchical Datacenter under Power Oversubscription. - Zhiguang Tang; Haihang Zhou; Yujin Zhu; Run Tian; Jianguo Yao (SMARTCOMP, 2017)

GMFLLM: A general manifold framework unifying three classic models for dimensionality reduction. - Yujin Zhu; Zhe Wang 002; Daqi Gao; Dongdong Li (Eng. Appl. Artif. Intell., 2017)

Locality sensitive discriminant matrixized learning machine. - Zhe Wang 002; Guowei Zhang; Dongdong Li; Yujin Zhu; Chenjie Cao (Knowl. Based Syst., 2017)

Regularized Matrix-Pattern-Oriented Classification Machine with Universum. - Dongdong Li; Yujin Zhu; Zhe Wang 002; Chuanyu Chong; Daqi Gao (Neural Process. Lett., 2017)

Regularized fisher linear discriminant through two threshold variation strategies for imbalanced problems. - Yujin Zhu; Zhe Wang 002; Chenjie Cao; Daqi Gao (Knowl. Based Syst., 2018)

Boundary-Eliminated Pseudoinverse Linear Discriminant for Imbalanced Problems. - Yujin Zhu; Zhe Wang 002; Hongyuan Zha; Daqi Gao (IEEE Trans. Neural Networks Learn. Syst., 2018)

Geometric Structural Ensemble Learning for Imbalanced Problems. - Zonghai Zhu; Zhe Wang 002; Dongdong Li; Yujin Zhu; Wenli Du (IEEE Trans. Cybern., 2020)

Entropy and Confidence-Based Undersampling Boosting Random Forests for Imbalanced Problems. - Zhe Wang 002; Chenjie Cao; Yujin Zhu (IEEE Trans. Neural Networks Learn. Syst., 2020)

Curriculum-Meta Learning for Order-Robust Continual Relation Extraction. - Tongtong Wu; Xuekai Li; Yuan-Fang Li; Gholamreza Haffari; Guilin Qi; Yujin Zhu; Guoqiang Xu (AAAI, 2021)

TKB2ert: Two-Stage Knowledge Infused Behavioral Fine-Tuned BERT. - Jiahao Chen; Zheyu He; Yujin Zhu; Liang Xu (NLPCC (2), 2021)

Sample and feature selecting based ensemble learning for imbalanced problems. - Zhe Wang 002; Peng Jia; Xinlei Xu; Bolu Wang; Yujin Zhu; Dongdong Li (Appl. Soft Comput., 2021)

Permutation-Invariant Tabular Data Synthesis. - Yujin Zhu; Zilong Zhao 001; Robert Birke; Lydia Y. Chen (IEEE Big Data, 2022)

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 010 (ACL (1), 2023)

Automated Software Test Input Generation with Diffusion Models. - Yujin Zhu; Xiujing Guo; Hiroyuki Okamura; Tadashi Dohi (SFPVV, 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 (ICIC (23), 2025)