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Name: Yuchen Wu
Type: User
Company: Northeastern University
Location: Shen yang
Name: Yuchen Wu
Type: User
Company: Northeastern University
Location: Shen yang
This is the PyTorch implementation of the paper CSI-GPT: Integrating Generative Pre-Trained Transformer with Federated-Tuning to Acquire Downlink Massive MIMO Channels
Deep Learning for Massive MIMO with 1-Bit ADCs
Signal processing for digital communication written in Matlab
5GMdata project: Scripts to repeatedly invoke Remcom Wireless Insite and SUMO
6G Wireless Communication Security - Deep Learning Based Channel Estimation Dataset
6G and Security repository for telecommunications and AI research. We will share our implementations and publications in 5G and beyond technology, 6G, Security, Machine learning on 6G, Massive MIMO, THz communication and communication networks.
IEEE 802.11ad A-BFT beamforming training simulator in Python
Simulation code for the comparitive analysis of the number of SICs increase with the number of increase in devices in NOMA, and cooperative NOMA types
Reproduction of CsiNet-LSTM
patent
Spatially Separable Attention Transformer Network implemented in Pytorch
Official repository of ACmix (CVPR2022)
This is an implementation of ACRNet for results reproduction on COST2100
Simulation codes for my paper in TCOM: Active RIS-Aided ISAC Systems: Beamforming Design and Performance Analysis
Modern wireless cellular networks use massive multiple-input multiple-output (MIMO) technology. This technology involves operations with an antenna array at a base station that simultaneously serves multiple mobile devices which also use multiple antennas on their side. For this, various precoding and detection techniques are used, allowing each user to receive the signal intended for him from the base station. There is an important class of linear precoding called Regularized Zero-Forcing (RZF). In this work, we propose Adaptive RZF (ARZF) with a special kind of regularization matrix with different coefficients for each layer of multi-antenna users. These regularization coefficients are defined by explicit formulas based on SVD decompositions of user channel matrices. We study the optimization problem, which is solved by the proposed algorithm, with the connection to other possible problem statements. We also compare the proposed algorithm with state-of-the-art linear precoding algorithms on simulations with the Quadriga channel model. The proposed approach provides a significant increase in quality with the same computation time as in the reference methods.
Simulation code for "X. Wu, Y. Cai, M. Zhao, R. C. de Lamare and B. Champagne, "Adaptive Widely Linear Constrained Constant Modulus Reduced-Rank Beamforming," in IEEE Transactions on Aerospace and Electronic Systems, vol. 53, no. 1, pp. 477-492, Feb. 2017, doi: 10.1109/TAES.2017.2650838."
ADD-GCN: Attention-Driven Dynamic Graph Convolutional Network for Multi-Label Image Recognition (ECCV 2020)
Unofficial PyTorch implementation of the paper "ADD-GCN: Attention-Driven Dynamic Graph Convolutional Network for Multi-Label Image Recognition" ECCV 2020
Training Neural Networks Without Gradients: A ADMM Approach
Prune DNN using Alternating Direction Method of Multipliers (ADMM)
Clustering, Image Denoising, Manifold Learning and Autoencoders
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.