Deyi Liu

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 10

Top Topics

Semidefinite Programming

Visual Representations

Convex Functions

Top Venues

J. Optim. Theory Appl.

Publications

Quoc Tran-Dinh, Deyi Liu
A new randomized primal-dual algorithm for convex optimization with fast last iterate convergence rates. Optim. Methods Softw. 38 (1) (2023)
Yuzixuan Zhu, Deyi Liu, Quoc Tran-Dinh
New Primal-Dual Algorithms for a Class of Nonsmooth and Nonlinear Convex-Concave Minimax Problems. SIAM J. Optim. 32 (4) (2022)
Zhan Wu, Jundong Huang, Haohua Meng, Gang Li, Deyi Liu, Size Xiao
An application of an automation operation and maintenance tool design and application. RICAI (2022)
Deyi Liu, Volkan Cevher, Quoc Tran-Dinh
A Newton Frank-Wolfe method for constrained self-concordant minimization. J. Glob. Optim. 83 (2) (2022)
Zhenlin Xu, Deyi Liu, Junlin Yang, Colin Raffel, Marc Niethammer
Robust and Generalizable Visual Representation Learning via Random Convolutions. ICLR (2021)
Weiqing Yao, Qiang Rao, Jiajun Yuan, Deyi Liu, Jie Xu
Monitoring Method for Archival Data Change of Electrical Information Acquisition System Based On Data Middle Office and Its Application. AIAM (ACM) (2021)
Deyi Liu, Quoc Tran-Dinh
An Inexact Interior-Point Lagrangian Decomposition Algorithm with Inexact Oracles. J. Optim. Theory Appl. 185 (3) (2020)
Deyi Liu, Volkan Cevher, Quoc Tran-Dinh
A Newton Frank-Wolfe Method for Constrained Self-Concordant Minimization. CoRR (2020)
Zhenlin Xu, Deyi Liu, Junlin Yang, Marc Niethammer
Robust and Generalizable Visual Representation Learning via Random Convolutions. CoRR (2020)
Quoc Tran-Dinh, Deyi Liu, Lam M. Nguyen
Hybrid Variance-Reduced SGD Algorithms For Minimax Problems with Nonconvex-Linear Function. NeurIPS (2020)