Master Student in Deep Learning

Xihua University

Biography

I am a master student of artificial intelligence at the Xihua University. I am very fortunate to be advised by Prof. Hong Peng. My research includes machine learning, deep learning, computer vision.

Interests

  • Machine Learning
  • Deep Learning
  • Computer Vision
  • Artificial Intelligence
  • PyTorch

Education

  • M.Sc in Computer Science, 2018

    Xihua University, Chengdu

  • BSc in Software Engineering, 2014

    Xihua University, Chengdu

Experience

 
 
 
 
 

Algorithm Engineer Intern

Xihua University

Jul 2020 – Present Chengdu, China
Responsibilities include:

  • Pedestrian Detection
  • Image Fusion
 
 
 
 
 

Master Student - Artificial Intelligence

Xihua University

Sep 2018 – Jun 2021 Chengdu, China
Responsibilities include:

  • Learning basic computer science knowledge
  • Researching in machine learning and computer vision
  • Teaching assistants for Machine Learning course

Publications

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Medical Image Fusion Method Based on Coupled Neural P Systems in Nonsubsampled Shearlet Transform Domain

Coupled neural P systems (CNP systems) are a recently developed Turing-universal, distributed and parallel computing model, combining …
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Nonlinear Spiking Neural P Systems

This paper proposes a new variant of spiking neural P systems (in short, SNP systems), nonlinear spiking neural P systems (in short, …
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Multi-focus image fusion based on dynamic threshold neural P systems and surfacelet transform

Dynamic threshold neural P systems (DTNP systems) are recently proposed distributed and parallel computing models, inspired from the …
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Spiking neural P systems with inhibitory rules

Motivated by the mechanism of inhibitory synapses, a new kind of spiking neural P (SNP) system rules, called inhibitory rules, is …
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On String Languages Generated by Spiking Neural P Systems with Multiple Channels

We study spiking neural P system with multiple channels (SNP-MC), where each neuron can be connected to several subsets of neurons. …

Recent Posts

Solving Elliptic Curve Discrete Log by CADO-NFS

Learn how to use CADO-NFS to solve discrete log in weak elliptic curve crypto in CTF challenge
Last updated on Jul 18, 2020 2 min read Crypto, CTF

Projects

Updating

Popular Topics

Accepting/Generating Devices CADO-NFS CNP systems Computational Efficiency Computer Vision Computing Model Crypto CTF Deep Learning DTNP Firing Rules Function Computing Fusion Performance Image Fusion Inhibitory Rules Machine Learning Medical Images Multi-focus Images NSNP Systems NSST

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