Tiexin Qin

Orcid: 0000-0003-2968-7320

According to our database¹, Tiexin Qin authored at least 10 papers between 2020 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

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Bibliography

2024

Learning Robust Shape Regularization for Generalizable Medical Image Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, July, 2024

Test-time adaptation for image compression with distribution regularization.

[BibT_eX]

[DOI]

CoRR, 2024

Deep Signature: Characterization of Large-Scale Molecular Dynamics.

[BibT_eX]

[DOI]

CoRR, 2024

Log Neural Controlled Differential Equations: The Lie Brackets Make A Difference.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Evolving Domain Generalization via Latent Structure-Aware Sequential Autoencoder.

[BibT_eX]

[DOI]

Tiexin Qin

Shiqi Wang

Haoliang Li

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

LibFewShot: A Comprehensive Library for Few-Shot Learning.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Learning Dynamic Graph Embeddings with Neural Controlled Differential Equations.

[BibT_eX]

[DOI]

CoRR, 2023

2022

Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder.

[BibT_eX]

[DOI]

Tiexin Qin

Shiqi Wang

Haoliang Li

Proceedings of the International Conference on Machine Learning, 2022

2020

Unsupervised Few-shot Learning via Distribution Shift-based Augmentation.

[BibT_eX]

[DOI]

CoRR, 2020

Automatic Data Augmentation Via Deep Reinforcement Learning for Effective Kidney Tumor Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Tiexin Qin

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