Yewei Xia

Orcid: 0000-0001-5515-5913

According to our database¹, Yewei Xia authored at least 19 papers between 2023 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

On csauthors.net:

Bibliography

2025

Regression-based conditional independence test with adaptive kernels.

[BibT_eX]

[DOI]

Artif. Intell., 2025

Fast Causal Discovery by Approximate Kernel-based Generalized Score Functions with Linear Computational Complexity.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Score-based Generative Modeling for Conditional Independence Testing.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Efficient Constraint-based Window Causal Graph Discovery in Time Series with Multiple Time Lags.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Identifying Causal Mechanism Shifts Under Additive Models with Arbitrary Noise.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Extracting Rare Dependence Patterns via Adaptive Sample Reweighting.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Identification of Latent Confounders via Investigating the Tensor Ranks of the Nonlinear Observations.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

A New Model for Prototype-based Continual Learning in Hyperspherical Space.

[BibT_eX]

[DOI]

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Towards Effective Causal Partitioning by Edge Cutting of Adjoint Graph.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Hybrid Causal Feature Selection for Cancer Biomarker Identification From RNA-Seq Data.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2024

Efficiently Learning Significant Fourier Feature Pairs for Statistical Independence Testing.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Learning Adaptive Kernels for Statistical Independence Tests.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Self-Supervised Learning for Multimedia Recommendation.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2023

Conditional Independence Test Based on Residual Similarity.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2023

Causal Gene Identification Using Non-Linear Regression-Based Independence Tests.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Flexible Differentially Private Vertical Federated Learning with Adaptive Feature Embeddings.

[BibT_eX]

[DOI]

CoRR, 2023

Causal Discovery by Continuous Optimization with Conditional Independence Constraint: Methodology and Performance.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2023

Multi-Level Wavelet Mapping Correlation for Statistical Dependence Measurement: Methodology and Performance.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Differentially Private Nonlinear Causal Discovery from Numerical Data.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Yewei Xia

Timeline

Legend:

Links

On csauthors.net:

Bibliography

Loading...