Embedded Files
Publications
Publications
Jie Liu, Yu Rong, Martin Takáč and Junzhou Huang. On the Acceleration of L-BFGS with Second-Order Information and Stochastic Batches. Submitted, 2018.
Jie Liu, Jianlin Guo, Philip Orlik, Masahiko Shibata, Daiki Nakahara, Satoshi Mii and Martin Takáč. Anomaly Detection in Manufacturing Systems Using Structured Neural Networks. IEEE World Congress on Intelligent Control and Automation (WCICA), 2018.
Jie Liu, Jakub Marecek, Andrea Simonetto and Martin Takáč. A Coordinate-Descent Algorithm for Tracking Solutions in Time-Varying Optimal Power Flows. Power Systems Computation Conference (PSCC), 2018.
Lam M. Nguyen, Jie Liu, Katya Scheinberg and Martin Takáč. Stochastic Recursive Gradient Algorithm for Nonconvex Optimization. ArXiv:1705.07261.
Lam M. Nguyen, Jie Liu, Katya Scheinberg and Martin Takáč. SARAH: A Novel Method for Machine Learning Problems using Stochastic Recursive Gradient. International Conference on Machine Learning (ICML), 2017.
Jie Liu, Alan Lidell, Jakub Mareček and Martin Takáč. Hybrid Methods in Solving Alternating-Current Optimal Power Flows. IEEE Transactions on Smart Grid, 2017.
Jie Liu and Martin Takáč. Projected Semi-Stochastic Gradient Descent Method with Mini-Batch Scheme under Weak Strong Convexity Assumption. Proceedings of Modeling and Optimization: Theory and Applications (MOPTA), 2016.
Jakub Konečný, Jie Liu, Peter Richtárik and Martin Takáč. Mini-Batch Semi-Stochastic Gradient Descent in the Proximal Setting. IEEE Journal of Selected Topics in Signal Processing, 10(2): 242-255, 2016.
Jakub Konečný, Jie Liu, Peter Richtárik and Martin Takáč. mS2GD: Mini-Batch Semi-Stochastic Gradient Descent in the Proximal Setting. Neural Information Processing Systems (NIPS) workshop on Optimization for Machine Learning, 2014.
Patents
Patents
Jianlin Guo, Jie Liu and Philip Orlik. Anomaly Detection in Manufacturing Systems Using Structured Neural Networks. U.S. Patent No. 20190302707 (issued on 10/03/2019).
Ioannis Akrotirianakis, Amit Charkraborty and Jie Liu. Maintenance Event Planning using Adaptive Predictive Methodologies. U.S. Patent No. 20170076216 (issued on 03/16/2017).
Jie Liu, Ioannis Akrotirianakis and Amit Charkraborty. System and Method for Predicting Power Plant Operational Parameters Utilizing Artificial Neural Network Deep Learning Methodologies. U.S. Patent No. 20170091615 (issued on 03/30/2017).
As of Dec. 01, 2025, I have a total citations of 1500+ at Google Scholar.
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