PPM-Dom: A novel method for domain position prediction. - Jing Sun 007; Runyu Jing; Yuelong Wang; Tuanfei Zhu; Menglong Li; Yizhou Li (Comput. Biol. Chem., 2013)

The Effect of Edge Definition of Complex Networks on Protein Structure Identification. - Jing Sun 007; Runyu Jing; Di Wu; Tuanfei Zhu; Menglong Li; Yizhou Li (Comput. Math. Methods Medicine, 2013)

Synthetic minority oversampling technique for multiclass imbalance problems. - Tuanfei Zhu; Yaping Lin; Yonghe Liu (Pattern Recognit., 2017)

A class imbalance-aware Relief algorithm for the classification of tumors using microarray gene expression data. - Yuanyu He; Junhai Zhou; Yaping Lin; Tuanfei Zhu (Comput. Biol. Chem., 2019)

AdaBoostRS: 高维不平衡数据学习的集成整合 (AdaBoostRS: Integration of High-dimensional Unbalanced Data Learning). - Pingan Yang; Yaping Lin; Tuanfei Zhu (计算机科学, 2019)

Minority oversampling for imbalanced ordinal regression. - Tuanfei Zhu; Yaping Lin; Yonghe Liu; Wei Zhang 074; Jianming Zhang 003 (Knowl. Based Syst., 2019)

Oversampling for Imbalanced Time Series Data. - Tuanfei Zhu; Yaping Lin; Yonghe Liu (CoRR, 2020)

HIBoost: A hubness-aware ensemble learning algorithm for high-dimensional imbalanced data classification. - Qin Wu; Yaping Lin; Tuanfei Zhu; Yue Zhang (J. Intell. Fuzzy Syst., 2020)

Incremental learning imbalanced data streams with concept drift: The dynamic updated ensemble algorithm. - Zeng Li; Wenchao Huang 001; Yan Xiong 001; Siqi Ren; Tuanfei Zhu (Knowl. Based Syst., 2020)

Improving interpolation-based oversampling for imbalanced data learning. - Tuanfei Zhu; Yaping Lin; Yonghe Liu (Knowl. Based Syst., 2020)

Minority oversampling for imbalanced time series classification. - Tuanfei Zhu; Cheng Luo; Zhihong Zhang; Jing Li; Siqi Ren; Yifu Zeng (Knowl. Based Syst., 2022)

Oversampling With Reliably Expanding Minority Class Regions for Imbalanced Data Learning. - Tuanfei Zhu; Xinwang Liu 002; En Zhu (IEEE Trans. Knowl. Data Eng., 2023)

Discriminative embedded multi-view fuzzy C-means clustering for feature-redundant and incomplete data. - Yan Li 003; Xingchen Hu; Tuanfei Zhu; Jiyuan Liu 003; Xinwang Liu 002; Zhong Liu 002 (Inf. Sci., 2024)

Commonsense-based adversarial learning framework for zero-shot stance detection. - Hao Zhang; Yizhou Li; Tuanfei Zhu; Chuang Li (Neurocomputing, 2024)

Adversarial contrastive representation training with external knowledge injection for zero-shot stance detection. - Yifan Ding; Ying Lei; Anqi Wang; Xiangrun Liu; Tuanfei Zhu; Yizhou Li (Neurocomputing, 2025)

Dynamic Ensemble Framework for Imbalanced Data Classification. - Tuanfei Zhu; Xingchen Hu; Xinwang Liu 002; En Zhu; Xinzhong Zhu; Huiying Xu (IEEE Trans. Knowl. Data Eng., 2025)