Anjin Liu

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 28

Top Topics

Drift Detection

Incremental Clustering

Top Venues

Australasian Conference on Artificial Intelligence

IEEE Trans. Cybern.

IEEE Trans. Neural Networks Learn. Syst.

Publications

Kun Wang, Li Xiong, Anjin Liu, Guangquan Zhang, Jie Lu
A self-adaptive ensemble for user interest drift learning. Neurocomputing 577 (2024)
Kun Wang, Jie Lu, Anjin Liu, Guangquan Zhang, Li Xiong
Evolving Gradient Boost: A Pruning Scheme Based on Loss Improvement Ratio for Learning Under Concept Drift. IEEE Trans. Cybern. 53 (4) (2023)
Kun Wang, Jie Lu, Anjin Liu, Guangquan Zhang
An Augmented Learning Approach for Multiple Data Streams Under Concept Drift. AI (1) (2023)
Kun Wang, Jie Lu, Anjin Liu, Guangquan Zhang
TCR-M: A Topic Change Recognition-based Method for Data Stream Learning. KES (2023)
Anjin Liu, Jie Lu, Yiliao Song, Junyu Xuan, Guangquan Zhang
Concept Drift Detection Delay Index. IEEE Trans. Knowl. Data Eng. 35 (5) (2023)
Yiliao Song, Jie Lu, Anjin Liu, Haiyan Lu, Guangquan Zhang
A Segment-Based Drift Adaptation Method for Data Streams. IEEE Trans. Neural Networks Learn. Syst. 33 (9) (2022)
Hang Yu, Jie Lu, Anjin Liu, Bin Wang, Ruimin Li, Guangquan Zhang
Real-Time Prediction System of Train Carriage Load Based on Multi-Stream Fuzzy Learning. IEEE Trans. Intell. Transp. Syst. 23 (9) (2022)
Zhaoqing Liu, Anjin Liu, Guangquan Zhang, Jie Lu
An Empirical Study of Fuzzy Decision Tree for Gradient Boosting Ensemble. AI (2022)
Kun Wang, Jie Lu, Anjin Liu, Yiliao Song, Li Xiong, Guangquan Zhang
Elastic gradient boosting decision tree with adaptive iterations for concept drift adaptation. Neurocomputing 491 (2022)
Zhen Fang, Jie Lu, Anjin Liu, Feng Liu, Guangquan Zhang
Learning Bounds for Open-Set Learning. ICML (2021)
Anjin Liu, Jie Lu, Guangquan Zhang
Diverse Instance-Weighting Ensemble Based on Region Drift Disagreement for Concept Drift Adaptation. IEEE Trans. Neural Networks Learn. Syst. 32 (1) (2021)
Anjin Liu, Jie Lu, Guangquan Zhang
Concept Drift Detection: Dealing With Missing Values via Fuzzy Distance Estimations. IEEE Trans. Fuzzy Syst. 29 (11) (2021)
Zhen Fang, Jie Lu, Anjin Liu, Feng Liu, Guangquan Zhang
Learning Bounds for Open-Set Learning. CoRR (2021)
Jiahua Dong, Zhen Fang, Anjin Liu, Gan Sun, Tongliang Liu
Confident Anchor-Induced Multi-Source Free Domain Adaptation. NeurIPS (2021)
Anjin Liu, Jie Lu, Guangquan Zhang
Concept Drift Detection via Equal Intensity k-Means Space Partitioning. IEEE Trans. Cybern. 51 (6) (2021)
Anjin Liu, Guangquan Zhang, Kun Wang, Jie Lu
Fast Switch Naïve Bayes to Avoid Redundant Update for Concept Drift Learning. IJCNN (2020)
Hang Yu, Anjin Liu, Bin Wang, Ruimin Li, Guangquan Zhang, Jie Lu
Real-Time Decision Making for Train Carriage Load Prediction via Multi-stream Learning. Australasian Conference on Artificial Intelligence (2020)
Anjin Liu, Jie Lu, Guangquan Zhang
Diverse Instances-Weighting Ensemble based on Region Drift Disagreement for Concept Drift Adaptation. CoRR (2020)
Jie Lu, Anjin Liu, Fan Dong, Feng Gu, João Gama, Guangquan Zhang
Learning under Concept Drift: A Review. CoRR (2020)
Kun Wang, Anjin Liu, Jie Lu, Guangquan Zhang, Li Xiong
An Elastic Gradient Boosting Decision Tree for Concept Drift Learning. Australasian Conference on Artificial Intelligence (2020)
Anjin Liu, Jie Lu, Guangquan Zhang
Concept Drift Detection: Dealing with MissingValues via Fuzzy Distance Estimations. CoRR (2020)
Anjin Liu, Jie Lu, Guangquan Zhang
Concept Drift Detection via Equal Intensity k-means Space Partitioning. CoRR (2020)
Dennis Chow, Anjin Liu, Guangquan Zhang, Jie Lu
Knowledge graph-based entity importance learning for multi-stream regression on Australian fuel price forecasting. IJCNN (2019)
Jie Lu, Anjin Liu, Fan Dong, Feng Gu, João Gama, Guangquan Zhang
Learning under Concept Drift: A Review. IEEE Trans. Knowl. Data Eng. 31 (12) (2019)
Anjin Liu, Jie Lu, Feng Liu, Guangquan Zhang
Accumulating regional density dissimilarity for concept drift detection in data streams. Pattern Recognit. 76 (2018)
Anjin Liu, Guangquan Zhang, Jie Lu
Fuzzy time windowing for gradual concept drift adaptation. FUZZ-IEEE (2017)
Anjin Liu, Yiliao Song, Guangquan Zhang, Jie Lu
Regional Concept Drift Detection and Density Synchronized Drift Adaptation. IJCAI (2017)
Anjin Liu, Guangquan Zhang, Jie Lu, Ning Lu, Chin-Teng Lin
An Online Competence-Based Concept Drift Detection Algorithm. Australasian Conference on Artificial Intelligence (2016)
Anjin Liu, Guangquan Zhang, Jie Lu
Concept Drift Detection Based on Anomaly Analysis. ICONIP (1) (2014)