Cui Jiaxu

Cui Jiaxu

@csjtx1021

I am an associate professor at Jilin University. My research interests include Bayesian Optimization, Graph Generation, and Network Dynamics Learning.

Jilin University China
20
Followers
5
Following
9
Public Repos
0
Private Repos

Language Breakdown

Lines of code distribution across 8 owned repositories

4.0M Total LOC
Python
3,149,900 lines
79.5%
N/A
Fortran
369,520 lines
9.3%
N/A
CSS
177,599 lines
4.5%
N/A
HTML
93,863 lines
2.4%
N/A
C
76,458 lines
1.9%
N/A
Other
96,745 lines
2.4%
N/A
I

I-Shaped Developer

I-shaped

Specialist — deep expertise in Python

Python
Fortran
CSS
HTML
C

Collaboration Network

Global Impact visualization

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Cui Jiaxu
0 active collaborators

Repos

9

PRs

0

Growth

+18%

Top Collaborators

No collaborator data yet.

Coding Streak

Contribution activity over the past year

1 day
16
Contributions
15
Commits
0
Pull Requests
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Followers 20
aajonaa

Jona Wong

@aajonaa

 crisprking

Abraham Trueba

@crisprking

 fuwifur

fuwi

@fuwifur

 Ting-TingGao

Ting-Ting Gao

@Ting-TingGao

 Angelo92Git

Angelo R

@Angelo92Git
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Following
5 total
Ting-TingGao

Ting-Ting Gao

@Ting-TingGao

 amizadeh

Saeed Amizadeh

@amizadeh

 dselsam

Daniel Selsam

@dselsam

 motus

Sergiy Matusevych

@motus

 markusweimer

Markus Weimer

@markusweimer
Synced via GitHub

Top Repositories

neural_ode_processes_for_network_dynamics-master

Neural ODE Processes for Network Dynamics (NDP4ND), a new class of stochastic processes governed by stochastic data-adaptive network dynamics, is to overcome the fundamental challenge of learning accurate network dynamics with sparse, irregularly-sampled, partial, and noisy observations.

14 2
Python
CAGG

Cost-Aware Graph Generation (CAGG), a framework for generating graphs with the optimal properties at as low cost as possible. The work has been accepted by AAAI 2021. (Python3/Pytorch)

9 0
Python
Scalable-and-Parallel-DGBO

This code is implemented according to paper "Scalable and Parallel Deep Bayesian Optimization on Attributed Graphs", accepted by TNNLS. (Python2/TensorFlow)

4 1
Python
DGBO

This code is implemented according to paper "Deep Bayesian Optimization on Attributed Graphs", published on AAAI2019. (Python2/TensorFlow)

4 1
Python
LLC-Learning-Law-of-Changes-

code for paper entitled "Learning interpretable network dynamics via universal neural symbolic regression"

2 0
Transformer-based-Symbolic-Regression

A faster implementation version of the paper "Neural Symbolic Regression that scales"

1 0
Python
Spatio-Temporal-

Matlab codes used in the paper "Predicting the patterns of spatio-temporal signal propagation in complex networks"

0 0
MATLAB
collect_preference_data_tool

This tool is used to collect the human preference data of odor molecules. (Python3)

0 0
Python
csjtx1021.github.io

This is Jiaxu Cui's homepage

0 0
CSS

Open Source Impact

Contributions to external projects

0 merged PRs

No external contributions found.