Yang Feng

According to our database, Yang Feng authored at least 15 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Federated Transfer Learning with Differential Privacy.

Mengchu Li, Ye Tian, Yang Feng, Yi Yu

CoRR, 2024

Towards the Theory of Unsupervised Federated Learning: Non-asymptotic Analysis of Federated EM Algorithms.

Ye Tian, Haolei Weng, Yang Feng

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

2023

Spectral Clustering via Adaptive Layer Aggregation for Multi-Layer Networks.

Sihan Huang, Haolei Weng, Yang Feng

J. Comput. Graph. Stat., 2023

Unsupervised Federated Learning: A Federated Gradient EM Algorithm for Heterogeneous Mixture Models with Robustness against Adversarial Attacks.

Ye Tian, Haolei Weng, Yang Feng

CoRR, 2023

Learning from Similar Linear Representations: Adaptivity, Minimaxity, and Robustness.

Ye Tian, Yuqi Gu, Yang Feng

CoRR, 2023

2022

Unsupervised Multi-task and Transfer Learning on Gaussian Mixture Models.

Ye Tian, Haolei Weng, Yang Feng

CoRR, 2022

2021

Imbalanced classification: A paradigm-based review.

Yang Feng, Min Zhou, Xin Tong

Stat. Anal. Data Min., 2021

RaSE: Random Subspace Ensemble Classification.

Ye Tian, Yang Feng

J. Mach. Learn. Res., 2021

Neyman-Pearson Multi-class Classification via Cost-sensitive Learning.

Ye Tian, Yang Feng

CoRR, 2021

Transfer Learning under High-dimensional Generalized Linear Models.

Ye Tian, Yang Feng

CoRR, 2021

2019

A Kronecker Product Model for Repeated Pattern Detection on 2D Urban Images.

Juan Liu, Emmanouil Z. Psarakis, Yang Feng, Ioannis Stamos

IEEE Trans. Pattern Anal. Mach. Intell., 2019

2018

A likelihood-ratio type test for stochastic block models with bounded degrees.

Mingao Yuan, Yang Feng, Zuofeng Shang

CoRR, 2018

2017

JDINAC: joint density-based non-parametric differential interaction network analysis and classification using high-dimensional sparse omics data.

Jiadong Ji, Di He, Yang Feng, Yong He, Fuzhong Xue, Lei Xie

Bioinform., 2017

2014

APPLE: approximate path for penalized likelihood estimators.

Yi Yu, Yang Feng

Stat. Comput., 2014

Regularized principal components of heritability.

Yixin Fang, Yang Feng, Ming Yuan

Comput. Stat., 2014