Xiulin Zheng，Peipei Li,Jia Wu, and Xindong Wu，A Relation-Constraint Link Prediction Model for Dynamic Graphs with Entity Drift:ACM Transactions on Knowledge Discovery from Data, 19(5): 1-38 (2025)

Peipei Li，Xuegang Hu,Jiajun Li,Shiying Yu，Semi-Supervised Short Text Stream Classification Based on Drift-Aware Incremental Deep Learning:IEEE Transactions on Knowledge and Data Engineering,2025

Yihao Ouyang，Xuegang Hu,Haixiang Zhang，Peipei Li，Semi-Supervised Medical Image Segmentation Based on Frequency Domain Aware Stable Consistency Regularization:Journal of Imaging Informatics in Medicine,2025

You Wu，Yizhang Zou，Peipei Li，Partial multi-label feature selection with feature noise:. Pattern Recognit. 162: 111310 (2025),2024

Zhanwang Chen，Xuegang Hu，Peipei Li，Knowledge and Separating Soft Verbalizer based Prompt-tuning for Multi-label Short Text Classification:Applied Intelligence,2024,54):8020-8040.

Haoyang Liu，Xuegang Hu,Peipei Li,Yaojin Lin，Jun Hu，Class-Specific Semantic Generation and Reconstruction Learning for Open Set Recognition:IJCAI’24,2024):2045-2053.

Yizhang Zou，Xuegang Hu，Peipei Li，Gradient-based multi-label feature selection considering three-way variable interaction:Pattern Recognition,2023,145):109900.

Peipei Li，Xindong Wu,Xuegang Hu,Haixiang Zhang，High-Dimensional Multi-Label Data Stream Classification With Concept Drifting Detection:IEEE Transactions on Knowledge and Data Engineering,2023,35(8):8085-8099.

Peipei Li，Ma Wu,Junhong He,Xuegang Hu，Recurring Drift Detection and Model Selection-Based Ensemble Classification for Data Streams with Unlabeled Data:New Gener. Comput.,39(2):341-376.

Peipei Li，Yingying Liu,Yang Hu,Xuegang Hu,Kui Yu，Yuhong Zhang，A Drift-Sensitive Distributed LSTM Method for Short Text Steam Classification:IEEE Transactions on Big Data,2023,9(1):341-357.