Yuanhao Xiong

Orcid: 0000-0002-0940-2079

According to our database¹, Yuanhao Xiong authored at least 19 papers between 2018 and 2024.

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

2024

Ameliorate Spurious Correlations in Dataset Condensation.

[BibT_eX]

[DOI]

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

Structured Video-Language Modeling with Temporal Grouping and Spatial Grounding.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

UNICORN: A Unified Causal Video-Oriented Language-Modeling Framework for Temporal Video-Language Tasks.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Spatiotemporally Discriminative Video-Language Pre-Training with Text Grounding.

[BibT_eX]

[DOI]

CoRR, 2023

FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Training Meta-Surrogate Model for Transferable Adversarial Attack.

[BibT_eX]

[DOI]

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

2022

Efficient Non-Parametric Optimizer Search for Diverse Tasks.

[BibT_eX]

[DOI]

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

Extreme Zero-Shot Learning for Extreme Text Classification.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Learning to Schedule Learning rate with Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Learning to Learn with Smooth Regularization.

[BibT_eX]

[DOI]

Yuanhao Xiong

Cho-Jui Hsieh

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Adversarial Attack across Datasets.

[BibT_eX]

[DOI]

CoRR, 2021

2020

How much progress have we made in neural network training? A New Evaluation Protocol for Benchmarking Optimizers.

[BibT_eX]

[DOI]

CoRR, 2020

Learning to Learn by Zeroth-Order Oracle.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Improved Adversarial Training via Learned Optimizer.

[BibT_eX]

[DOI]

Yuanhao Xiong

Cho-Jui Hsieh

Proceedings of the Computer Vision - ECCV 2020, 2020

Toward A Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Adaptive Gradient Methods with Dynamic Bound of Learning Rate.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Learning Phase Competition for Traffic Signal Control.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Learning Traffic Signal Control from Demonstrations.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Deep Neural Networks for Linear Sum Assignment Problems.

[BibT_eX]

[DOI]

IEEE Wirel. Commun. Lett., 2018

Yuanhao Xiong

Timeline

Legend:

Links

On csauthors.net:

Bibliography

Loading...