Permutation Equivariant Neural Controlled Differential Equations for Dynamic Graph Representation Learning.
CoRR, June, 2025
Test-time Adaptation for Foundation Medical Segmentation Model without Parametric Updates.
CoRR, April, 2025
Enhancing Zero-Shot Image Recognition in Vision-Language Models through Human-like Concept Guidance.
CoRR, March, 2025
Deep Signature: Characterization of Large-Scale Molecular Dynamics.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Test-time Adaptation for Image Compression with Distribution Regularization.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Q-PART: Quasi-Periodic Adaptive Regression with Test-time Training for Pediatric Left Ventricular Ejection Fraction Regression.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
Learning Robust Shape Regularization for Generalizable Medical Image Segmentation.
IEEE Trans. Medical Imaging, July, 2024
Log Neural Controlled Differential Equations: The Lie Brackets Make A Difference.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Evolving Domain Generalization via Latent Structure-Aware Sequential Autoencoder.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023
LibFewShot: A Comprehensive Library for Few-Shot Learning.
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IEEE Trans. Pattern Anal. Mach. Intell., December, 2023
Learning Dynamic Graph Embeddings with Neural Controlled Differential Equations.
CoRR, 2023
Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder.
Proceedings of the International Conference on Machine Learning, 2022
Unsupervised Few-shot Learning via Distribution Shift-based Augmentation.
CoRR, 2020
Automatic Data Augmentation Via Deep Reinforcement Learning for Effective Kidney Tumor Segmentation.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020