Xiaoyi Mai

According to our database1, Xiaoyi Mai authored at least 12 papers between 2017 and 2024.

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

Timeline

2017
2018
2019
2020
2021
2022
2023
2024
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
The Breakdown of Gaussian Universality in Classification of High-dimensional Mixtures.
CoRR, 2024

Inconsistency of ESPRIT DoA Estimation for Large Arrays and a Correction via RMT.
Proceedings of the 32nd European Signal Processing Conference, 2024

2022
On The Effectiveness of Active Learning by Uncertainty Sampling in Classification of High-Dimensional Gaussian Mixture Data.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Consistent Semi-Supervised Graph Regularization for High Dimensional Data.
J. Mach. Learn. Res., 2021

2019
High Dimensional Classification via Empirical Risk Minimization: Improvements and Optimality.
CoRR, 2019

A Large Scale Analysis of Logistic Regression: Asymptotic Performance and New Insights.
Proceedings of the IEEE International Conference on Acoustics, 2019

Revisiting and Improving Semi-supervised Learning: A Large Dimensional Approach.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
A Random Matrix Analysis and Improvement of Semi-Supervised Learning for Large Dimensional Data.
J. Mach. Learn. Res., 2018

Classification Asymptotics in the Random Matrix Regime.
Proceedings of the 26th European Signal Processing Conference, 2018

Semi-Supervised Spectral Clustering.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017
A random matrix analysis and improvement of semi-supervised learning for large dimensional data.
CoRR, 2017

The counterintuitive mechanism of graph-based semi-supervised learning in the big data regime.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017


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