Pinned Repositories
DC3
DC3: A Learning Method for Optimization with Hard Constraints
Evaluation
Evaluates the contents of the solution files and produces results suitable for scoring
Graphormer
Graphormer is a deep learning package that allows researchers and developers to train custom models for molecule modeling tasks. It aims to accelerate the research and application in AI for molecule science, such as material design, drug discovery, etc.
huxpro.github.io
My Blog / Jekyll Themes / PWA
Julia-for-Optimization-and-Learning-Scripts
L2O-G2MILP
This is the code of paper "A Deep Instance Generative Framework for MILP Solvers Under Limited Data Availability". Zijie Geng, Xijun Li, Jie Wang, Xiao Li, Yongdong Zhang, Feng Wu. NeurIPS 2023 (Spotlight).
Physics-Informed-Neural-Networks-for-AC-Optimal-Power-Flow
This repository contains the code for Physics-Informed Neural Network for AC Optimal Power Flow applications and the worst case guarantees
PowerModels.jl
A Julia/JuMP Package for Power Network Optimization
PowerModelsAnnex.jl
A PowerModels.jl Extension Package for Exploratory Work
PowerModelsSecurityConstrained.jl
A PowerModels Extension for Security Constrained Optimization Problems
xiong-p's Repositories
xiong-p/DC3
DC3: A Learning Method for Optimization with Hard Constraints
xiong-p/Evaluation
Evaluates the contents of the solution files and produces results suitable for scoring
xiong-p/Graphormer
Graphormer is a deep learning package that allows researchers and developers to train custom models for molecule modeling tasks. It aims to accelerate the research and application in AI for molecule science, such as material design, drug discovery, etc.
xiong-p/huxpro.github.io
My Blog / Jekyll Themes / PWA
xiong-p/Julia-for-Optimization-and-Learning-Scripts
xiong-p/L2O-G2MILP
This is the code of paper "A Deep Instance Generative Framework for MILP Solvers Under Limited Data Availability". Zijie Geng, Xijun Li, Jie Wang, Xiao Li, Yongdong Zhang, Feng Wu. NeurIPS 2023 (Spotlight).
xiong-p/Physics-Informed-Neural-Networks-for-AC-Optimal-Power-Flow
This repository contains the code for Physics-Informed Neural Network for AC Optimal Power Flow applications and the worst case guarantees
xiong-p/PowerModels.jl
A Julia/JuMP Package for Power Network Optimization
xiong-p/PowerModelsAnnex.jl
A PowerModels.jl Extension Package for Exploratory Work
xiong-p/PowerModelsSecurityConstrained.jl
A PowerModels Extension for Security Constrained Optimization Problems
xiong-p/rl
xiong-p/xiong-p.github.io