Shilin Gu

Orcid: 0000-0003-1681-5856

According to our database1, Shilin Gu authored at least 14 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Adaptive Learning in Imbalanced Data Streams With Unpredictable Feature Evolution.
IEEE Trans. Knowl. Data Eng., April, 2025

Adaptive Learning for Dynamic Features and Noisy Labels.
IEEE Trans. Pattern Anal. Mach. Intell., February, 2025

Label Shift Meets Online Learning: Ensuring Consistent Adaptation with Universal Dynamic Regret.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
Learning With Incremental Instances and Features.
IEEE Trans. Neural Networks Learn. Syst., July, 2024

Multi-Instance Learning with One Side Label Noise.
ACM Trans. Knowl. Discov. Data, June, 2024

Feature incremental learning with causality.
Pattern Recognit., February, 2024

Online imbalance learning with unpredictable feature evolution and label scarcity.
Neurocomputing, 2024

2023
Online Learning With Incremental Feature Space and Bandit Feedback.
IEEE Trans. Knowl. Data Eng., December, 2023

Incremental Learning for Simultaneous Augmentation of Feature and Class.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

2022
Incremental Feature Spaces Learning with Label Scarcity.
ACM Trans. Knowl. Discov. Data, 2022

2021
Fragmentary label distribution learning via graph regularized maximum entropy criteria.
Pattern Recognit. Lett., 2021

Active label distribution learning.
Neurocomputing, 2021

2019
Active learning with error-correcting output codes.
Neurocomputing, 2019

Recursive Maximum Margin Active Learning.
IEEE Access, 2019


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