Identifying and analyzing sepsis states: A retrospective study on patients with sepsis in ICUs
Published in Plos Digital Health, 2022
Identifying and analyzing sepsis states: A retrospective study on patients with sepsis in ICUs
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Publications
Newton-ADMM: A Distributed GPU-Accelerated Optimizer for Multiclass Classification Problems.
Published in Proceedings of the ACM/IEEE Supercomputing Conference, 2020
Distributed Second Order Optimizer for Multiclass Classification Problems.
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Aikyatan: mapping distal regulatory elements using convolutional learning on gpu.
Published in BMC Bioinformatics, 2019
This paper is about designing the convolutional neural network to utilize the shift-invariant property of the histone modification signals to increase the regulatory elements prediction rate.
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Opening up the blackbox: an interpretable deep neural network-based classifier for cell-type specific enhancer predictions
Published in BMC System Biology, 2016
This paper is about designing an interpretable deep neural network for enhancer prediction task.
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Subset selection of high-depth next generation sequencing reads for de novos genome assembly using mapreduce framework.
Published in BMC Genomics, 2015
This paper is about using Mapreduce Framework to select high-quality NGS reads for the De novo whole-genome sequence assembly.
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Book Chapter
Parallel Optimization Techniques for Machine Learning. Published in Springer, 2020
- Higher order optimization techniques for convex and non-convex problems.