xiaogaogaoxiao Goto Github PK

ppo-bihyb

Implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs".

ppo-early-stopping

Source code and reproduction step for the paper "An Empirical Investigation of Early Stopping in Proximal Policy Optimization Algorithm", NeurIPS2020 submission.

ppt

Zhao-Rong Lai, Dao-Qing Dai, Chuan-Xian Ren, and Ke-Kun Huang. “A peak price tracking based learning system for portfolio selection”, IEEE Transactions on Neural Networks and Learning Systems, 2017. Accepted.

practical-machine-learning

从算法的基本原理出发，不调用任何已实现的库，用MATLAB实现经典机器学习算法。

practical-ris-hardware-aging

Simulation code for “On Hardware Aging for Practical RIS-Assisted Communication Systems,” by K. Wang, CT. Lam, and BK. Ng, Electronics Letters, to appear.

pre-trained-eeg-for-deep-learning

Universal Joint Feature Extraction for P300 EEG Classification Using Multi-Task Autoencoder (IEEE Access)

precoding

precoding-mimo-crn

precoding_code

Precoding

predict-flight-delay

携程大数据比赛-预测航班是否延误：涵盖源代码，以及过程记录

preparation-of-papers-for-ieee-signal-processing-letters-5-page-limit-

SPL

pri_spca

The codes for our NeurIPS 2021 paper: Towards Sample-Optimal Compressive Phase Retrieval with Sparse and Generative Priors

pricing-based-rate-allocation-game-in-tvws-backhaul

Implementation of "A Pricing-Based Rate Allocation Game in TVWS Backhaul and Access Link for Rural Broadband." IEEE Systems Journal 99 (2018): 1-8.

primal-dual-linesearch

Codes for primal-dual method with linesearch

primaldualcvxopt

This is a Matlab code implementing new primal-dual methods for composite convex optimization

primaldualdecomp

This code accompanies the paper "Primal-dual decomposition by operator splitting and applications to image deblurring."

privacy-preserving-linear-region-search-service

Code for IEEE Transactions on Services Computing 2017 paper "Privacy-Preserving Linear Region Search Service".

prl-2020

This GitHub repository has the Python code, data, and results of the paper "An entropy-based prediction framework for stock returns using kernel adaptive filtering within a neural network architecture".

prnet

We propose a novel deep unfolded phase retrieval network dubbed as PRNet to recover high-quality images by using the learned convolutional sparse coding (CSC).

probabilistic_axyb

Probabilistic Framework for Hand-Eye and Robot-World Calibration AX=YB (under review)

problem-of-base-stations-optimal-placement

Problem solving by the branch and bound method

project

Hierarchichal Resource Allocation Framework For Hyper-Dense small Cell Network.

project_dcnnmld

Offical repo for the paper titled "A MIMO Detector with Deep Learning in the Presence of Correlated Interference"

projectednewton

projection-methods

Experimenting with projection methods for solving convex feasibility problems.

projsplitfit

Projective Splitting for data fitting problems

provable_plug_and_play

proxdist

Code for the numerical experiments from manuscripts for the proximal distance algorithm

proxdykstra-socp

The implementation of the proxDykstra algorithm used to solve SOCP optimization problems.

proxhspga

A Hybrid Proximal Stochastic Policy Gradient Algorithm (ProxHSPGA) to solve composite optimization problems in reinforcement learning.