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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.

Pages

Posts

Future Blog Post

less than 1 minute read

Published:

This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

portfolio

projects

[more] Deep learning model deployment based on NVIDIA Jetson AGX Orin

Published:

– Organized merchandise from numerous clients preparing them to be shot in photo studio.
– Build an end-to-end dehazing network based on the SwinTransformer model under the GAN architecture, and conduct training and verification on the dehazing dataset.
– Reduce the amount of model parameters and calculations through cheap convolution, network clipping, model quantification and other model lightweight technologies.
– Combine the dehazing network with the YOLOv5 target The target detection network is deployed on NVIDIA edge computing devices.

Blind multi-Poissonian image deconvolution with sparse log-step gradient prior

Published:

– Design a novel sparse log-step gradient prior which adopts a mixture of logarithm and step functions to regularize the image gradients and combine it with the Poisson distribution to formulate the blind multi-image deconvolution problem.
– Incorporate the methods of variable splitting and Lagrange multiplier to convert the original problem into sub-problems.
– Design a non-blind multi-image deconvolution algorithm which is based on the log-step gradient prior to reach the final restored image.

Signal enhancement and physical augmentation framework based on Reinforcement Learning

Published:

– Designing and verifying a signal enhancement and physical augmentation framework based on Reinforcement Learning, which will not only enhance the generalization of the model and solve many unseen activities of the dataset, but also add real physical constraints of the human body through Reinforcement Learning methods.

publications

talks

teaching

Undergraduate

Rail transit signaling and control, Kunming Universuty of Science and Technology, School of Information Engineering and Automatization , 2017

Graduation GPA: 84/100

Award:

  1. BYD Corporate Special Scholarship in Nanjing University of Aeronautics and Astronautics –2024
  2. First-class academic scholarship in Nanjing University of Aeronautics and Astronautics –2022~present
  3. Outstanding graduate student in Kunming University of Science and Technology –2021
  4. Second prize national mathematical modeling competition –2019
  5. School-level scholarships(fourtimes) –2017~2021

Master

Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, department of Automation, 2022

Graduation GPA: 86.8/100