Jiawei Huang

Orcid: 0000-0003-4819-2585

Affiliations:
  • University of Science and Technology of China, Hefei, Anhui, China


According to our database1, Jiawei Huang authored at least 10 papers between 2020 and 2025.

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

Timeline

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Bibliography

2025
An Effective Manifold-based Optimization Method for Distributionally Robust Classification.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
On Robust Wasserstein Barycenter: The Model and Algorithm.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Bi-criteria Sublinear Time Algorithms for Clustering with Outliers in High Dimensions.
Proceedings of the Computing and Combinatorics - 30th International Conference, 2024

2022
Random Projection and Recovery for High Dimensional Optimization with Arbitrary Outliers.
Int. J. Comput. Geom. Appl., 2022

Coresets for Wasserstein Distributionally Robust Optimization Problems.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Is Simple Uniform Sampling Efficient for Center-Based Clustering With Outliers: When and Why?
CoRR, 2021

Defending SVMs against poisoning attacks: the hardness and DBSCAN approach.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

A Novel Sequential Coreset Method for Gradient Descent Algorithms.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Defending Support Vector Machines against Poisoning Attacks: the Hardness and Algorithm.
CoRR, 2020

The Effectiveness of Johnson-Lindenstrauss Transform for High Dimensional Optimization with Outliers.
CoRR, 2020


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