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Jing Wang

Orcid: 0000-0003-3779-0301

According to our database1, Jing Wang authored at least 6 papers between 2020 and 2025.

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

Timeline

Legend:

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Links

Online presence:

On csauthors.net:

Bibliography

2025
A Survey of Optimization Methods for Training DL Models: Theoretical Perspective on Convergence and Generalization.
[BibTeX]
[DOI]
Jing Wang
,
Anna Choromanska
CoRR, January, 2025

2024
AutoDrop: Training Deep Learning Models with Automatic Learning Rate Drop.
[BibTeX]
[DOI]
Jing Wang
,
Yunfei Teng
,
Anna Choromanska
Proceedings of the Uncertainty in Artificial Intelligence, 2024

Adjacent Leader Decentralized Stochastic Gradient Descent.
[BibTeX]
[DOI]
Haoze He
,
Jing Wang
,
Anna Choromanska
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023
Automatic document classification via transformers for regulations compliance management in large utility companies.
[BibTeX]
[DOI]
Tolga Dimlioglu
,
Jing Wang
,
Devansh Bisla
,
Anna Choromanska
,
Simon Odie
,
Leon Bukhman
,
Afolabi Olomola
,
James D. Wong
Neural Comput. Appl., August, 2023

2022
Low-Pass Filtering SGD for Recovering Flat Optima in the Deep Learning Optimization Landscape.
[BibTeX]
[DOI]
Devansh Bisla
,
Jing Wang
,
Anna Choromanska
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2020
SGB: Stochastic Gradient Bound Method for Optimizing Partition Functions.
[BibTeX]
[DOI]
Jing Wang
,
Anna Choromanska
CoRR, 2020


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