mS2GD: Mini-Batch Semi-Stochastic Gradient Descent in the Proximal Setting. - Jakub Konecný; Jie Liu 036; Peter Richtárik; Martin Takác 001 (CoRR, 2014)

Projected Semi-Stochastic Gradient Descent Method with Mini-Batch Scheme under Weak Strong Convexity Assumption. - Jie Liu 036; Martin Takác 001 (CoRR, 2016)

Mini-Batch Semi-Stochastic Gradient Descent in the Proximal Setting. - Jakub Konecný; Jie Liu 036; Peter Richtárik; Martin Takác 001 (IEEE J. Sel. Top. Signal Process., 2016)

SARAH: A Novel Method for Machine Learning Problems Using Stochastic Recursive Gradient. - Lam M. Nguyen; Jie Liu 036; Katya Scheinberg; Martin Takác 001 (ICML, 2017)

Stochastic Recursive Gradient Algorithm for Nonconvex Optimization. - Lam M. Nguyen; Jie Liu 036; Katya Scheinberg; Martin Takác 001 (CoRR, 2017)

Hybrid Methods in Solving Alternating-Current Optimal Power Flows. - Jie Liu 036; Alan C. Liddell Jr.; Jakub Marecek; Martin Takác 001 (IEEE Trans. Smart Grid, 2017)

On the Acceleration of L-BFGS with Second-Order Information and Stochastic Batches. - Jie Liu 036; Yu Rong 001; Martin Takác 001; Junzhou Huang (CoRR, 2018)

Tencent ML-Images: A Large-Scale Multi-Label Image Database for Visual Representation Learning. - Baoyuan Wu; Weidong Chen; Yanbo Fan; Yong Zhang 034; Jinlong Hou; Jie Liu 036; Tong Zhang 001 (IEEE Access, 2019)

Tencent ML-Images: A Large-Scale Multi-Label Image Database for Visual Representation Learning. - Baoyuan Wu; Weidong Chen; Yanbo Fan; Yong Zhang 034; Jinlong Hou; Jie Liu 036; Junzhou Huang; Wei Liu 005; Tong Zhang 001 (CoRR, 2019)

Optimal Power Flow Pursuit in the Alternating Current Model. - Jie Liu 036; Antonio Bellon; Andrea Simonetto; Martin Takác 001; Jakub Marecek (CoRR, 2022)