Yu Sun

Affiliations:

Stanford University, CA, USA
Cornell University, NY, USA (former)

According to our database¹, Yu Sun authored at least 26 papers between 2015 and 2026.

Collaborative distances:

Dijkstra number² of three.
Erdős number³ of three.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

Learning to Discover at Test Time.

[BibT_eX]

[DOI]

CoRR, January, 2026

UltraSeP: Sequence-aware pre-training for echocardiography probe movement guidance.

[BibT_eX]

[DOI]

Pattern Recognit., 2026

2025

End-to-End Test-Time Training for Long Context.

[BibT_eX]

[DOI]

CoRR, December, 2025

One-Minute Video Generation with Test-Time Training.

[BibT_eX]

[DOI]

CoRR, April, 2025

Test-Time Training on Video Streams.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2025

Learning to (Learn at Test Time): RNNs with Expressive Hidden States.

[BibT_eX]

[DOI]

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

One-Minute Video Generation with Test-Time Training.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Sequence-aware Pre-training for Echocardiography Probe Guidance.

[BibT_eX]

[DOI]

CoRR, 2024

Cardiac Copilot: Automatic Probe Guidance for Echocardiography with World Model.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Structure-aware World Model for Probe Guidance via Large-scale Self-supervised Pre-train.

[BibT_eX]

[DOI]

Proceedings of the Simplifying Medical Ultrasound - 5th International Workshop, 2024

Test-Time Training on Nearest Neighbors for Large Language Models.

[BibT_eX]

[DOI]

Moritz Hardt

Yu Sun

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Learning to (Learn at Test Time).

[BibT_eX]

[DOI]

CoRR, 2023

Test-Time Training on Video Streams.

[BibT_eX]

[DOI]

CoRR, 2023

2022

Test-Time Training with Masked Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Self-Supervised Policy Adaptation during Deployment.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Self-Supervised Policy Adaptation during Deployment.

[BibT_eX]

[DOI]

CoRR, 2020

Test-Time Training with Self-Supervision for Generalization under Distribution Shifts.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Test-Time Training for Out-of-Distribution Generalization.

[BibT_eX]

[DOI]

CoRR, 2019

Unsupervised Domain Adaptation through Self-Supervision.

[BibT_eX]

[DOI]

CoRR, 2019

2018

Adversarial Deep Averaging Networks for Cross-Lingual Sentiment Classification.

[BibT_eX]

[DOI]

Trans. Assoc. Comput. Linguistics, 2018

An empirical study on evaluation metrics of generative adversarial networks.

[BibT_eX]

[DOI]

CoRR, 2018

2017

On Calibration of Modern Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Supervised Word Mover's Distance.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Deep Networks with Stochastic Depth.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2016, 2016

Private Causal Inference.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

From Word Embeddings To Document Distances.

[BibT_eX]

[DOI]

Proceedings of the 32nd International Conference on Machine Learning, 2015

Yu Sun

Timeline

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Bibliography

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