YongzhiWu
Research Interests: integrated sensing and communication, stochastic geometry analysis in mmWave and THz networks, machine learning.
Shanghai, China
Pinned Repositories
AiLearning
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
AndroidTextDetection
项目来源：https://github.com/chentyjpm/DarknetDemoInAndroid
boundary_element_method
Mathematica Implementation of BEM
ISAC-Waveform-Design-Papers
A Summary on Papers for Integrated Sensing and Communication Waveform Design
MallDemo
OFDM_ISAC_simulator
A simple demo for OFDM ISAC systems
OFDM_radar
OFDM radar sensing algorithms for integrated sensing and communication
OTFS_radar
OTFS radar sensing algorithm
stochastic_geometry_analysis
stochastic_geometry_in_wireless_networks
Summary on stochastic geometry analysis for wireless networks, especially for mmWave and THz networks
YongzhiWu's Repositories
YongzhiWu/OFDM_radar
OFDM radar sensing algorithms for integrated sensing and communication
YongzhiWu/OTFS_radar
OTFS radar sensing algorithm
YongzhiWu/OFDM_ISAC_simulator
A simple demo for OFDM ISAC systems
YongzhiWu/stochastic_geometry_in_wireless_networks
Summary on stochastic geometry analysis for wireless networks, especially for mmWave and THz networks
YongzhiWu/ISAC-Waveform-Design-Papers
A Summary on Papers for Integrated Sensing and Communication Waveform Design
YongzhiWu/stochastic_geometry_analysis
YongzhiWu/boundary_element_method
Mathematica Implementation of BEM
YongzhiWu/AiLearning
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
YongzhiWu/AndroidTextDetection
项目来源：https://github.com/chentyjpm/DarknetDemoInAndroid
YongzhiWu/Blind-Channel-Identification
Blind channel identification and source signal recovery. The source codes will be make public after acceptance of the paper.
YongzhiWu/OTFS-Simulation
A simulation of a wideband wireless communications system with multipath fading for OFDM and OTFS
YongzhiWu/radar_tools
雷达信号处理工具箱
YongzhiWu/ChannelNet
Implementation of the paper "Deep Learning-Based Channel Estimation"
YongzhiWu/DarknetDemoInAndroid
process a demo in android
YongzhiWu/dl_ofdm
Deep-Waveform: A Learned OFDM Receiver Based on Deep Complex Convolutional Networks
YongzhiWu/DNN_detection_via_keras
This is the simplest implementation of Power of Deep Learning for Channel Estimation and Signal Detection in OFDM Systems using keras.
YongzhiWu/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
YongzhiWu/fcn.berkeleyvision.org
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
YongzhiWu/filter
YongzhiWu/libpku
北京大学课程资料整理
YongzhiWu/mnist
YongzhiWu/mnist_cnn
YongzhiWu/MRBrainSExp
YongzhiWu/object_detection_yolo
YongzhiWu/OFDM_DNN
YongzhiWu/otfs-chan-est-and-eq
Simulation codes for "Channel Estimation and Equalization for CP-OFDM-based OTFS in Fractional Doppler Channels"
YongzhiWu/pytorch-fcn
PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
YongzhiWu/PyTorch-YOLOv3
Minimal PyTorch implementation of YOLOv3
YongzhiWu/SJTUBeamer
上海交通大学 Beamer 模版 | Beamer template for Shanghai Jiao Tong University
YongzhiWu/YongzhiWu.github.io
Github Pages for my personal academic personal websites, forked from academicpages / academicpages.github.io