Difei Cheng

According to our database, Difei Cheng authored at least 9 papers between 2021 and 2026.

Collaborative distances:

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

2026

A Decomposition Framework for Certifiably Optimal Orthogonal Sparse PCA.

Difei Cheng, Qiao Hu

CoRR, March, 2026

Convergence analysis of the last iterate in distributed stochastic gradient descent with momentum.

Difei Cheng, Ruinan Jin, Bo Zhang

Neurocomputing, 2026

2025

Online AUC Optimization Based on Second-order Surrogate Loss.

JunRu Luo, Difei Cheng, Bo Zhang

CoRR, October, 2025

Stochastic Gradient Descent in Non-Convex Problems: Asymptotic Convergence with Relaxed Step-Size via Stopping Time Methods.

Ruinan Jin, Difei Cheng, Hong Qiao, Xin Shi, Shaodong Liu, Bo Zhang

CoRR, April, 2025

2024

Careful Seeding for k-Medois Clustering with Incremental k-Means++ Initialization.

Difei Cheng, Yunfeng Zhang, Ruinan Jin

J. Circuits Syst. Comput., 2024

2023

Fast density estimation for density-based clustering methods.

Difei Cheng, Ruihang Xu, Bo Zhang, Ruinan Jin

Neurocomputing, May, 2023

2022

Careful seeding for the k-medoids algorithm with incremental k++ cluster construction.

Difei Cheng, Bo Zhang

CoRR, 2022

Revisit last-iterate convergence of mSGD under milder requirement on step size.

Ruinan Jin, Xingkang He, Lang Chen, Difei Cheng, Vijay Gupta

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Fast Density Estimation for Density-based Clustering Methods.

Difei Cheng, Ruihang Xu, Bo Zhang

CoRR, 2021