Xiyao Liu

Orcid: 0000-0002-9978-1286

Affiliations:

Chinese Academy of Sciences, Shenyang Institute of Automation, State Key Laboratory of Robotics, Shenyang, China
Tianjin University, School of Electrical and Information Engineering, Tianjin, China

According to our database¹, Xiyao Liu authored at least 20 papers between 2020 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

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Bibliography

2025

Vision and Language Integration for Domain Generalization.

[BibT_eX]

[DOI]

CoRR, April, 2025

Concept agent network for zero-base generalized few-shot learning.

[BibT_eX]

[DOI]

Appl. Intell., April, 2025

Frequency-Spatial Complementation: Unified Channel-Specific Style Attack for Cross-Domain Few-Shot Learning.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2025

DUAL-GDFQ: A Dual-Generator, Dual-Phase Learning Approach for Data-Free Quantization.

[BibT_eX]

[DOI]

Sihan Wang

Zhi Han

Xiyao Liu

IEEE Signal Process. Lett., 2025

Label smoothing regularization-based no hyperparameter domain generalization.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2025

2024

Semantic-Aware Dynamic Generation Networks for Few-Shot Human-Object Interaction Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., September, 2024

Relevance equilibrium network for cross-domain few-shot learning.

[BibT_eX]

[DOI]

Int. J. Multim. Inf. Retr., June, 2024

On the Approximation Risk of Few-Shot Class-Incremental Learning.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Unbiased Faster R-CNN for Single-source Domain Generalized Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Dual Distillation Discriminator Networks for Domain Adaptive Few-Shot Learning.

[BibT_eX]

[DOI]

Neural Networks, August, 2023

Self-taught cross-domain few-shot learning with weakly supervised object localization and task-decomposition.

[BibT_eX]

[DOI]

Knowl. Based Syst., April, 2023

Memorizing Complementation Network for Few-Shot Class-Incremental Learning.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2023

2022

Task-Oriented High-Order Context Graph Networks for Few-Shot Human-Object Interaction Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., 2022

Information Symmetry Matters: A Modal-Alternating Propagation Network for Few-Shot Learning.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2022

DGIG-Net: Dynamic Graph-in-Graph Networks for Few-Shot Human-Object Interaction.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2022

Meta hyperbolic networks for zero-shot learning.

[BibT_eX]

[DOI]

Neurocomputing, 2022

Teachers cooperation: team-knowledge distillation for multiple cross-domain few-shot learning.

[BibT_eX]

[DOI]

Frontiers Comput. Sci., 2022

2021

Few-Shot Human-Object Interaction Recognition With Semantic-Guided Attentive Prototypes Network.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2021

Self-Taught Cross-Domain Few-Shot Learning with Weakly Supervised Object Localization and Task-Decomposition.

[BibT_eX]

[DOI]

CoRR, 2021

2020

SGAP-Net: Semantic-Guided Attentive Prototypes Network for Few-Shot Human-Object Interaction Recognition.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Xiyao Liu

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