You-Wei Luo

Orcid: 0000-0002-3027-6679

According to our database1, You-Wei Luo authored at least 21 papers between 2020 and 2025.

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

Timeline

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Bibliography

2025
Preference Optimization for Combinatorial Optimization Problems.
CoRR, May, 2025

Partial Domain Adaptation via Importance Sampling-Based Shift Correction.
IEEE Trans. Image Process., 2025

Invariant Model Learning on Local-Aware Wasserstein Geodesic for Domain Adaptation.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

MPOT: Manifold Preserving Optimal Transport for Visual Recognition Under Severe Distribution Shift.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024
Geometric Understanding of Discriminability and Transferability for Visual Domain Adaptation.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

When Invariant Representation Learning Meets Label Shift: Insufficiency and Theoretical Insights.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Towards Unsupervised Domain Adaptation via Domain-Transformer.
Int. J. Comput. Vis., December, 2024

Maximizing conditional independence for unsupervised domain adaptation.
Sci. China Inf. Sci., 2024

COD: Learning Conditional Invariant Representation for Domain Adaptation Regression.
Proceedings of the Computer Vision - ECCV 2024, 2024

Probability-Polarized Optimal Transport for Unsupervised Domain Adaptation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
BuresNet: Conditional Bures Metric for Transferable Representation Learning.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

MOT: Masked Optimal Transport for Partial Domain Adaptation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Unsupervised Domain Adaptation via Discriminative Manifold Propagation.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Maximizing Conditional Independence for Unsupervised Domain Adaptation.
CoRR, 2022

Towards Unsupervised Domain Adaptation via Domain-Transformer.
CoRR, 2022

Generalized Label Shift Correction via Minimum Uncertainty Principle: Theory and Algorithm.
CoRR, 2022

2021
Geometry-Aware Unsupervised Domain Adaptation.
CoRR, 2021

Conditional Bures Metric for Domain Adaptation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Discriminative Residual Analysis for Image Set Classification With Posture and Age Variations.
IEEE Trans. Image Process., 2020

Enhanced Transport Distance for Unsupervised Domain Adaptation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Unsupervised Domain Adaptation via Discriminative Manifold Embedding and Alignment.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020


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