Online Active Learning Paired Ensemble for Concept Drift and Class Imbalance. - Hang Zhang 008; Weike Liu; Jicheng Shan; Qingbao Liu (IEEE Access, 2018)

An Air Quality Grade Forecasting Approach Based on Ensemble Learning. - Weike Liu; Hang Zhang 008; Qingbao Liu (AIAM (IEEE), 2019)

Resample-Based Ensemble Framework for Drifting Imbalanced Data Streams. - Hang Zhang 008; Weike Liu; Shuo Wang; Jicheng Shan; Qingbao Liu (IEEE Access, 2019)

Online Learning Method for Drift and Imbalance Problem in Client Credit Assessment. - Hang Zhang 008; Qingbao Liu (Symmetry, 2019)

Online Active Learning Ensemble Framework for Drifted Data Streams. - Jicheng Shan; Hang Zhang 008; Weike Liu; Qingbao Liu (IEEE Trans. Neural Networks Learn. Syst., 2019)

Detection of Anomaly User Behaviors Based on Deep Neural Networks. - Zhaoyun Ding; Lina Liu 011; Donghua Yu; Songping Huang; Hang Zhang 008; Kai Liu (TrustCom, 2021)

A comprehensive active learning method for multiclass imbalanced data streams with concept drift. - Weike Liu; Hang Zhang 008; Zhaoyun Ding; Qingbao Liu; Cheng Zhu 002 (Knowl. Based Syst., 2021)

Reinforcement Online Active Learning Ensemble for Drifting Imbalanced Data Streams. - Hang Zhang 008; Weike Liu; Qingbao Liu (IEEE Trans. Knowl. Data Eng., 2022)

Datasets and source codes for OALEnsemble. - Jicheng Shan; Hang Zhang 008; Weike Liu; Qingbao Liu (IEEE DataPort, 2022)

Multiclass imbalanced and concept drift network traffic classification framework based on online active learning. - Weike Liu; Cheng Zhu 002; Zhaoyun Ding; Hang Zhang 008; Qingbao Liu (Eng. Appl. Artif. Intell., 2023)

CSAL: Cost sensitive active learning for multi-source drifting stream. - Hang Zhang 008; Weike Liu; Hao Yang 042; Yun Zhou 001; Cheng Zhu 002; Weiming Zhang 003 (Knowl. Based Syst., 2023)

Confidence-based and sample-reweighted test-time adaptation. - Hao Yang 042; Min Wang 034; Zhengfei Yu; Hang Zhang 008; Jinshen Jiang; Yun Zhou 001 (Knowl. Based Syst., 2024)