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Yu Huang

Affiliations:
  • Tsinghua University, Institute for Interdisciplinary Information Sciences, IIIS, China


According to our database1, Yu Huang authored at least 10 papers between 2020 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
In-Context Learning with Representations: Contextual Generalization of Trained Transformers.
[BibTeX]
[DOI]
Tong Yang
,
Yu Huang
,
Yingbin Liang
,
Yuejie Chi
CoRR, 2024

Transformers Provably Learn Feature-Position Correlations in Masked Image Modeling.
[BibTeX]
[DOI]
Yu Huang
,
Zixin Wen
,
Yuejie Chi
,
Yingbin Liang
CoRR, 2024

In-context Convergence of Transformers.
[BibTeX]
[DOI]
Yu Huang
,
Yuan Cheng
,
Yingbin Liang
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Accelerating Convergence of Score-Based Diffusion Models, Provably.
[BibTeX]
[DOI]
Gen Li
,
Yu Huang
,
Timofey Efimov
,
Yuting Wei
,
Yuejie Chi
,
Yuxin Chen
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Online Min-max Problems with Non-convexity and Non-stationarity.
[BibTeX]
[DOI]
Yu Huang
,
Yuan Cheng
,
Yingbin Liang
,
Longbo Huang
Trans. Mach. Learn. Res., 2023

2022
Provable Generalization of Overparameterized Meta-learning Trained with SGD.
[BibTeX]
[DOI]
Yu Huang
,
Yingbin Liang
,
Longbo Huang
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Modality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably).
[BibTeX]
[DOI]
Yu Huang
,
Junyang Lin
,
Chang Zhou
,
Hongxia Yang
,
Longbo Huang
Proceedings of the International Conference on Machine Learning, 2022

2021
What Makes Multimodal Learning Better than Single (Provably).
[BibTeX]
[DOI]
Yu Huang
,
Chenzhuang Du
,
Zihui Xue
,
Xuanyao Chen
,
Hang Zhao
,
Longbo Huang
CoRR, 2021

What Makes Multi-Modal Learning Better than Single (Provably).
[BibTeX]
[DOI]
Yu Huang
,
Chenzhuang Du
,
Zihui Xue
,
Xuanyao Chen
,
Hang Zhao
,
Longbo Huang
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Heavy traffic analysis of approximate max-weight matching algorithms for input-queued switches.
[BibTeX]
[DOI]
Yu Huang
,
Longbo Huang
Perform. Evaluation, 2020


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