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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.
[more] Physics-aware Real-time Human motion optimization based mmWave Radar device
Published:
– Design a plug-and-play physics-based optimization module according to the physical characteristics of human movement.
– Module can refined the point cloud data collected by millimeter-wave radar based on the characteristics of human movement to meet the physical constraints
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
Blind multi-Poissonian image deconvolution with sparse log-step gradient prior
Published in Optics Express, 2024
Citation: Wende Dong, Qixiang Wang, Shuyin Tao, Chao Tian. (2024). "Blind multi-Poissonian image deconvolution with sparse log-step gradient prior." Optics Express. 1(1).
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talks
Talk 1 on Relevant Topic in Your Field
Published:
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Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
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:
- BYD Corporate Special Scholarship in Nanjing University of Aeronautics and Astronautics –2024
- First-class academic scholarship in Nanjing University of Aeronautics and Astronautics –2022~present
- Outstanding graduate student in Kunming University of Science and Technology –2021
- Second prize national mathematical modeling competition –2019
- 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