Concept Drift Detection Based on Anomaly Analysis. - Anjin Liu; Guangquan Zhang 001; Jie Lu 001 (ICONIP (1), 2014)

An Online Competence-Based Concept Drift Detection Algorithm. - Anjin Liu; Guangquan Zhang 001; Jie Lu 001; Ning Lu 007; Chin-Teng Lin (Australasian Conference on Artificial Intelligence, 2016)

Fuzzy time windowing for gradual concept drift adaptation. - Anjin Liu; Guangquan Zhang 001; Jie Lu 001 (FUZZ-IEEE, 2017)

Regional Concept Drift Detection and Density Synchronized Drift Adaptation. - Anjin Liu; Yiliao Song; Guangquan Zhang 001; Jie Lu 001 (IJCAI, 2017)

Accumulating regional density dissimilarity for concept drift detection in data streams. - Anjin Liu; Jie Lu 001; Feng Liu 003; Guangquan Zhang 001 (Pattern Recognit., 2018)

Concept drift adaptation for learning with streaming data - Anjin Liu (2018)

Knowledge graph-based entity importance learning for multi-stream regression on Australian fuel price forecasting. - Dennis Chow; Anjin Liu; Guangquan Zhang 001; Jie Lu 001 (IJCNN, 2019)

Learning under Concept Drift: A Review. - Jie Lu 001; Anjin Liu; Fan Dong; Feng Gu; João Gama 001; Guangquan Zhang 001 (IEEE Trans. Knowl. Data Eng., 2019)

An Elastic Gradient Boosting Decision Tree for Concept Drift Learning. - Kun Wang 050; Anjin Liu; Jie Lu 001; Guangquan Zhang 001; Li Xiong 002 (Australasian Conference on Artificial Intelligence, 2020)

Real-Time Decision Making for Train Carriage Load Prediction via Multi-stream Learning. - Hang Yu 006; Anjin Liu; Bin Wang 045; Ruimin Li; Guangquan Zhang 001; Jie Lu 001 (Australasian Conference on Artificial Intelligence, 2020)

Fast Switch Naïve Bayes to Avoid Redundant Update for Concept Drift Learning. - Anjin Liu; Guangquan Zhang 001; Kun Wang 050; Jie Lu 001 (IJCNN, 2020)

Diverse Instances-Weighting Ensemble based on Region Drift Disagreement for Concept Drift Adaptation. - Anjin Liu; Jie Lu 001; Guangquan Zhang 001 (CoRR, 2020)

Concept Drift Detection: Dealing with MissingValues via Fuzzy Distance Estimations. - Anjin Liu; Jie Lu 001; Guangquan Zhang 001 (CoRR, 2020)

Learning Bounds for Open-Set Learning. - Zhen Fang 001; Jie Lu 001; Anjin Liu; Feng Liu 003; Guangquan Zhang 001 (ICML, 2021)

Confident Anchor-Induced Multi-Source Free Domain Adaptation. - Jiahua Dong 001; Zhen Fang 001; Anjin Liu; Gan Sun; Tongliang Liu (NeurIPS, 2021)

Concept Drift Detection via Equal Intensity k-Means Space Partitioning. - Anjin Liu; Jie Lu 001; Guangquan Zhang 001 (IEEE Trans. Cybern., 2021)

Concept Drift Detection: Dealing With Missing Values via Fuzzy Distance Estimations. - Anjin Liu; Jie Lu 001; Guangquan Zhang 001 (IEEE Trans. Fuzzy Syst., 2021)

Diverse Instance-Weighting Ensemble Based on Region Drift Disagreement for Concept Drift Adaptation. - Anjin Liu; Jie Lu 001; Guangquan Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

An Empirical Study of Fuzzy Decision Tree for Gradient Boosting Ensemble. - Zhaoqing Liu; Anjin Liu; Guangquan Zhang 001; Jie Lu 001 (AI, 2022)

Elastic gradient boosting decision tree with adaptive iterations for concept drift adaptation. - Kun Wang 050; Jie Lu 001; Anjin Liu; Yiliao Song; Li Xiong 002; Guangquan Zhang 001 (Neurocomputing, 2022)

Real-Time Prediction System of Train Carriage Load Based on Multi-Stream Fuzzy Learning. - Hang Yu 006; Jie Lu 001; Anjin Liu; Bin Wang 045; Ruimin Li; Guangquan Zhang 001 (IEEE Trans. Intell. Transp. Syst., 2022)

A Segment-Based Drift Adaptation Method for Data Streams. - Yiliao Song; Jie Lu 001; Anjin Liu; Haiyan Lu; Guangquan Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

An Augmented Learning Approach for Multiple Data Streams Under Concept Drift. - Kun Wang 050; Jie Lu 001; Anjin Liu; Guangquan Zhang 001 (AI (1), 2023)

TCR-M: A Topic Change Recognition-based Method for Data Stream Learning. - Kun Wang 050; Jie Lu 001; Anjin Liu; Guangquan Zhang 001 (KES, 2023)

Evolving Gradient Boost: A Pruning Scheme Based on Loss Improvement Ratio for Learning Under Concept Drift. - Kun Wang 050; Jie Lu 001; Anjin Liu; Guangquan Zhang 001; Li Xiong 002 (IEEE Trans. Cybern., 2023)

Concept Drift Detection Delay Index. - Anjin Liu; Jie Lu 001; Yiliao Song; Junyu Xuan; Guangquan Zhang 001 (IEEE Trans. Knowl. Data Eng., 2023)

A self-adaptive ensemble for user interest drift learning. - Kun Wang 050; Li Xiong 002; Anjin Liu; Guangquan Zhang 001; Jie Lu 001 (Neurocomputing, 2024)

TS-DM: A Time Segmentation-Based Data Stream Learning Method for Concept Drift Adaptation. - Kun Wang 050; Jie Lu 001; Anjin Liu; Guangquan Zhang 001 (IEEE Trans. Cybern., 2024)

Early Concept Drift Detection via Prediction Uncertainty. - Pengqian Lu; Jie Lu 001; Anjin Liu; Guangquan Zhang 001 (AAAI, 2025)

Tracking Correlations Between Multiple Data Streams Through Evolutionary Regressor Chains. - Bin Zhang; Jie Lu 001; Anjin Liu; Xin Yao 001; Guangquan Zhang 001 (IEEE Trans. Cybern., 2025)