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 22 papers between 2020 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Unsupervised Domain Adaptive Object Detection via Semantic Consistency and Compactness Learning.
IEEE Trans. Image Process., 2026

ObjecTok: Learning Holistic and Robust Object Tokens for MLLMs.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Vision and Language Integration for Domain Generalization.
CoRR, April, 2025

Concept agent network for zero-base generalized few-shot learning.
Appl. Intell., April, 2025

Frequency-Spatial Complementation: Unified Channel-Specific Style Attack for Cross-Domain Few-Shot Learning.
IEEE Trans. Image Process., 2025

DUAL-GDFQ: A Dual-Generator, Dual-Phase Learning Approach for Data-Free Quantization.
IEEE Signal Process. Lett., 2025

Label smoothing regularization-based no hyperparameter domain generalization.
Knowl. Based Syst., 2025

2024
Semantic-Aware Dynamic Generation Networks for Few-Shot Human-Object Interaction Recognition.
IEEE Trans. Neural Networks Learn. Syst., September, 2024

Relevance equilibrium network for cross-domain few-shot learning.
Int. J. Multim. Inf. Retr., June, 2024

On the Approximation Risk of Few-Shot Class-Incremental Learning.
Proceedings of the Computer Vision - ECCV 2024, 2024

Unbiased Faster R-CNN for Single-source Domain Generalized Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Dual Distillation Discriminator Networks for Domain Adaptive Few-Shot Learning.
Neural Networks, August, 2023

Self-taught cross-domain few-shot learning with weakly supervised object localization and task-decomposition.
Knowl. Based Syst., April, 2023

Memorizing Complementation Network for Few-Shot Class-Incremental Learning.
IEEE Trans. Image Process., 2023

2022
Task-Oriented High-Order Context Graph Networks for Few-Shot Human-Object Interaction Recognition.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Information Symmetry Matters: A Modal-Alternating Propagation Network for Few-Shot Learning.
IEEE Trans. Image Process., 2022

DGIG-Net: Dynamic Graph-in-Graph Networks for Few-Shot Human-Object Interaction.
IEEE Trans. Cybern., 2022

Meta hyperbolic networks for zero-shot learning.
Neurocomputing, 2022

Teachers cooperation: team-knowledge distillation for multiple cross-domain few-shot learning.
Frontiers Comput. Sci., 2022

2021
Few-Shot Human-Object Interaction Recognition With Semantic-Guided Attentive Prototypes Network.
IEEE Trans. Image Process., 2021

Self-Taught Cross-Domain Few-Shot Learning with Weakly Supervised Object Localization and Task-Decomposition.
CoRR, 2021

2020
SGAP-Net: Semantic-Guided Attentive Prototypes Network for Few-Shot Human-Object Interaction Recognition.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020


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