Yang Feng - RankMe

20 papers A* 1Journal 19

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Learning from Similar Linear Representations: Adaptivity, Minimaxity, and Robustness. J. Mach. Learn. Res. Ye Tian, Yuqi Gu, Yang Feng
2025	J	`jnl`	Multi-label Random Subspace Ensemble Classification. J. Comput. Graph. Stat. Fan Bi, Jianan Zhu, Yang Feng
2024	J	`jnl`	Federated Transfer Learning with Differential Privacy. CoRR Mengchu Li, Ye Tian, Yang Feng, Yi Yu
2024	A*	`conf`	Towards the Theory of Unsupervised Federated Learning: Non-asymptotic Analysis of Federated EM Algorithms. ICML Ye Tian, Haolei Weng, Yang Feng
2023	J	`jnl`	Learning from Similar Linear Representations: Adaptivity, Minimaxity, and Robustness. CoRR Ye Tian, Yuqi Gu, Yang Feng
2023	J	`jnl`	Spectral Clustering via Adaptive Layer Aggregation for Multi-Layer Networks. J. Comput. Graph. Stat. Sihan Huang, Haolei Weng, Yang Feng
2023	J	`jnl`	Unsupervised Federated Learning: A Federated Gradient EM Algorithm for Heterogeneous Mixture Models with Robustness against Adversarial Attacks. CoRR Ye Tian, Haolei Weng, Yang Feng
2022	J	`jnl`	Unsupervised Multi-task and Transfer Learning on Gaussian Mixture Models. CoRR Ye Tian, Haolei Weng, Yang Feng
2021	J	`jnl`	Imbalanced classification: A paradigm-based review. Stat. Anal. Data Min. Yang Feng, Min Zhou, Xin Tong
2021	J	`jnl`	Neyman-Pearson Multi-class Classification via Cost-sensitive Learning. CoRR Ye Tian, Yang Feng
2021	J	`jnl`	RaSE: Random Subspace Ensemble Classification. J. Mach. Learn. Res. Ye Tian, Yang Feng
2021	J	`jnl`	Transfer Learning under High-dimensional Generalized Linear Models. CoRR Ye Tian, Yang Feng
2020	J	`jnl`	RaSE: Random Subspace Ensemble Classification. CoRR Ye Tian, Yang Feng
2020	J	`jnl`	Spectral clustering via adaptive layer aggregation for multi-layer networks. CoRR Sihan Huang, Haolei Weng, Yang Feng
2019	J	`jnl`	A Kronecker Product Model for Repeated Pattern Detection on 2D Urban Images. IEEE Trans. Pattern Anal. Mach. Intell. Juan Liu, Emmanouil Z. Psarakis, Yang Feng, Ioannis Stamos
2018	J	`jnl`	A likelihood-ratio type test for stochastic block models with bounded degrees. CoRR Mingao Yuan, Yang Feng, Zuofeng Shang
2017	J	`jnl`	JDINAC: joint density-based non-parametric differential interaction network analysis and classification using high-dimensional sparse omics data. Bioinform. Jiadong Ji, Di He, Yang Feng, Yong He, Fuzhong Xue, Lei Xie
2014	J	`jnl`	APPLE: approximate path for penalized likelihood estimators. Stat. Comput. Yi Yu, Yang Feng
2014	J	`jnl`	Regularized principal components of heritability. Comput. Stat. Yixin Fang, Yang Feng, Ming Yuan
2012	J	`jnl`	APPLE: Approximate Path for Penalized Likelihood Estimators CoRR Yi Yu, Yang Feng