Publications

Zheng Shi, Abdurakhmon Sadiev, Nicolas Loizou, Peter Richtárik, Martin Takáč (2023). AI-SARAH: Adaptive and Implicit Stochastic Recursive Gradient Methods. TMLR.

Zheng Shi (2022). Advanced Algorithms and Applications in Machine Learning. PhD Dissertation.

Majid Jahani, Sergey Rusakov, Zheng Shi, Peter Richtárik, Michael W. Mahoney, Martin Takáč (2022). Doubly Adaptive Scaled Algorithm for Machine Learning Using Second-Order Information. ICLR.

Zheng Shi, Sila Gulgec, Albert S Berahas, Shamim N Pakzad, Martin Takáč (2021). Finite difference neural networks: Fast prediction of partial differential equations. ICMLA.

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Zheng Shi, Srinivas Rangarajan, Martin Takáč (2020). Improved Training of Graph-Embedding Based Neural Network Energy Functions for Catalysis. AIChEL.

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Sila Gulgec, Zheng Shi, Neil Deshmukh, Shamim N Pakzad, Martin Takáč (2019). FD-Net with Auxiliary Time Steps: Fast Prediction of PDEs using Hessian-Free Trust-Region Methods. NeurIPS Workshop Beyond First Order Methods in ML.

Huibin Du, Linxue Wei, Marilyn A. Brown, Yangyang Wang, Zheng Shi (2012). A bibliometric analysis of recent energy efficiency literatures: an expanding and shifting focus. Energy Efficiency.

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