Pinned Repositories
111
annotated_deep_learning_paper_implementations
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
BD-RIS-low-complexity
Simulation code for the paper: T. Fang and Y. Mao, "A Low-Complexity Beamforming Design for Beyond-Diagonal RIS Aided Multi-User Networks," in IEEE Communications Letters, vol. 28, no. 1, pp. 203-207, Jan. 2024, doi: 10.1109/LCOMM.2023.3333411.
Channel_Estimation_cGAN
Channel Estimation for One-Bit Multiuser Massive MIMO Using Conditional GAN
Code_SPLetters2023
Matlab code for paper "SNR Maximization in Beyond Diagonal RIS-assisted Single and Multiple Antenna Links" by Ignacio Santamaria, Mohammad Soleymani, Eduard Jorswieck, and Jesus Gutierrez
Hybrid-Relay-Reflecting-Intelligent-Surface-Assisted-Wireless-Communications
IT_book
本项目收藏这些年来看过或者听过的一些不错的常用的上千本书籍，没准你想找的书就在这里呢，包含了互联网行业大多数书籍和面试经验题目等等。有人工智能系列（常用深度学习框架TensorFlow、pytorch、keras。NLP、机器学习，深度学习等等），大数据系列(Spark,Hadoop,Scala,kafka等)，程序员必修系列（C、C++、java、数据结构、linux，设计模式、数据库等等）
optimization-of-bdris
Closed-Form Global Optimization of Beyond Diagonal Reconfigurable Intelligent Surfaces
pareto-frontier-for-bdris
Pareto Frontier for the Performance-Complexity Trade-Off in Beyond Diagonal Reconfigurable Intelligent Surfaces
Pengxuelian.github.io
xuelianp's Repositories
xuelianp/111
xuelianp/annotated_deep_learning_paper_implementations
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
xuelianp/BD-RIS-low-complexity
Simulation code for the paper: T. Fang and Y. Mao, "A Low-Complexity Beamforming Design for Beyond-Diagonal RIS Aided Multi-User Networks," in IEEE Communications Letters, vol. 28, no. 1, pp. 203-207, Jan. 2024, doi: 10.1109/LCOMM.2023.3333411.
xuelianp/Channel_Estimation_cGAN
Channel Estimation for One-Bit Multiuser Massive MIMO Using Conditional GAN
xuelianp/Code_SPLetters2023
Matlab code for paper "SNR Maximization in Beyond Diagonal RIS-assisted Single and Multiple Antenna Links" by Ignacio Santamaria, Mohammad Soleymani, Eduard Jorswieck, and Jesus Gutierrez
xuelianp/Hybrid-Relay-Reflecting-Intelligent-Surface-Assisted-Wireless-Communications
xuelianp/IT_book
本项目收藏这些年来看过或者听过的一些不错的常用的上千本书籍，没准你想找的书就在这里呢，包含了互联网行业大多数书籍和面试经验题目等等。有人工智能系列（常用深度学习框架TensorFlow、pytorch、keras。NLP、机器学习，深度学习等等），大数据系列(Spark,Hadoop,Scala,kafka等)，程序员必修系列（C、C++、java、数据结构、linux，设计模式、数据库等等）
xuelianp/optimization-of-bdris
Closed-Form Global Optimization of Beyond Diagonal Reconfigurable Intelligent Surfaces
xuelianp/pareto-frontier-for-bdris
Pareto Frontier for the Performance-Complexity Trade-Off in Beyond Diagonal Reconfigurable Intelligent Surfaces
xuelianp/Pengxuelian.github.io
xuelianp/Pengxuelian1.github.io
xuelianp/ris-aided-dual-functional-radar-and-communications-beamforming-design
MSc thesis at Imperial College London
xuelianp/RIS-Codes-Collection
RIS-Codes-Collection: A Complete Collection contains the Codes for RIS(IRS) Papers.
xuelianp/RIS_Optimization
RIS optimization
xuelianp/springmvc-tutorial
xuelianp/RSMA-low-complexity-MaxMin
Simulation code for the paper: F. Luo and Y. Mao, "A Practical Max-Min Fair Resource Allocation Algorithm for Rate-Splitting Multiple Access," in IEEE Communications Letters, vol. 27, no. 12, pp. 3285-3289, Dec. 2023, doi: 10.1109/LCOMM.2023.3329149.
xuelianp/SNR-CRB-constrained-beamforming-for-RIS-ISAC
xuelianp/waveform-design-for-RIS-ISAC
xuelianp/Waveform-Reflection-Design-for-RIS-ISAC
Matlab codes for paper "Joint Waveform Design and Passive Beamforming for RIS-Assisted Dual-functional Radar-Communication System" in IEEE TVT
xuelianp/xuelianp.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
xuelianp/yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite