Yanli Liu
Yanli Liu
Research Scientist, InnoPeak Technology (OPPO US Research Center)
Verified email at math.ucla.edu - Homepage
Title
Cited by
Cited by
Year
A new use of Douglas–Rachford splitting for identifying infeasible, unbounded, and pathological conic programs
Y Liu, EK Ryu, W Yin
Mathematical Programming, 1-29, 2017
26*2017
An Improved Analysis of (Variance-Reduced) Policy Gradient and Natural Policy Gradient Methods
Y Liu, K Zhang, T Başar, W Yin
NeurIPS 2020, 2020
212020
An improved analysis of stochastic gradient descent with momentum
Y Liu, Y Gao, W Yin
NeurIPS 2020, 2020
172020
Douglas–Rachford splitting and ADMM for pathological convex optimization
EK Ryu, Y Liu, W Yin
Computational Optimization and Applications 74 (3), 747-778, 2019
15*2019
Breaking the Span Assumption Yields Fast Finite-Sum Minimization
R Hannah, Y Liu, D O'Connor, W Yin
NeurIPS 2018: Advances in Neural Information Processing Systems, 2312-2321, 2018
142018
An envelope for Davis–Yin splitting and strict saddle-point avoidance
Y Liu, W Yin
Journal of Optimization Theory and Applications 181 (2), 567-587, 2019
102019
Acceleration of Primal–Dual Methods by Preconditioning and Simple Subproblem Procedures
Y Liu, Y Xu, W Yin
Journal of Scientific Computing 86 (2), 1-34, 2021
82021
Decentralized Learning With Lazy and Approximate Dual Gradients
Y Liu, Y Sun, W Yin
IEEE Transactions on Signal Processing 69, 1362-1377, 2021
32021
Acceleration of SVRG and Katyusha X by Inexact Preconditioning
Y Liu, F Feng, W Yin
ICML 2019: International Conference on Machine Learning, 2019
32019
SMOF: Squeezing More Out of Filters Yields Hardware-Friendly CNN Pruning
Y Liu, B Guan, Q Xu, W Li, S Quan
arXiv preprint arXiv:2110.10842, 2021
2021
Operator Splitting Methods for Convex and Nonconvex Optimization
Y Liu
UCLA (Ph.D. Thesis), 2020
2020
Reconstruction of Cell Focal Adhesions using Physical Constraints and Compressive Regularization
JC Chang, Y Liu, T Chou
Biophysical journal 113 (11), 2530-2539, 2017
2017
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Articles 1–12