chulhongsung
Assistant Professor, Department of Statistics.
Changwon National UniversityChangwon, South Korea
Pinned Repositories
Awesome-SSL4TS
A professionally curated list of awesome resources (paper, code, data, etc.) on Self-Supervised Learning for Time Series (SSL4TS).
DeepWalk_R
DeepWalk with R
efficient-adversarial-augmentation
Efficient Adversarial Augmentation for Graph Classification
flow_prediction
A flow prediction model using seq2seq
H-composition
H-composition
ny-taxi
The repository for a data mining class project
Special-Topics-in-Statistics
The repository for special topics in Statistics
time-series-forecasting
Tutorial repository for time series forecasting models
W-NET
Tensorflow Implementation of "W-Net: A Deep Model for Fully Unsupervised Image Segmentation"
chulhongsung's Repositories
chulhongsung/time-series-forecasting
Tutorial repository for time series forecasting models
chulhongsung/W-NET
Tensorflow Implementation of "W-Net: A Deep Model for Fully Unsupervised Image Segmentation"
chulhongsung/efficient-adversarial-augmentation
Efficient Adversarial Augmentation for Graph Classification
chulhongsung/ny-taxi
The repository for a data mining class project
chulhongsung/Awesome-SSL4TS
A professionally curated list of awesome resources (paper, code, data, etc.) on Self-Supervised Learning for Time Series (SSL4TS).
chulhongsung/FactorVAE
Reproduce AAAI22-FactorVAE
chulhongsung/GPQR
Pessimistic portfolio with sparse group lasso
chulhongsung/InstaTran
Interpretable Water Level Forecaster with Spatiotemporal Causal Attention Mechanisms
chulhongsung/AIConference2024
Key Dates of AI and Data Mining Conferences in 2024
chulhongsung/awesome-AI-for-time-series-papers
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
chulhongsung/Causal-Inference-with-Python
Causal Inference for The Brave and True 책의 한국어 번역 자료입니다.
chulhongsung/chulhongsung
chulhongsung/chulhongsung.github.io
chulhongsung/crispy-chainsaw
chulhongsung/deep-hedging
Deep hedging
chulhongsung/Efficient-Python-for-Data-Scientists
chulhongsung/LSQ-DPG
chulhongsung/marcap
market cap datasets (1995~2021 daily, 10 million+ rows)
chulhongsung/mixtape
chulhongsung/MQBoost
Multiple quantiles estimation model maintaining non-crossing condition (or monotone quantile condition) using LightGBM and XGBoost
chulhongsung/OptML_course
EPFL Course - Optimization for Machine Learning - CS-439
chulhongsung/policy-gradient-method
DRL based on policy gradient method
chulhongsung/SMOTE_CLS
Repository for "Improving SMOTE via Fusing Conditional VAE for Data-adaptve Noise Filtering"
chulhongsung/Time-Series-Forecasting-and-Deep-Learning
Resources about time series forecasting and deep learning.
chulhongsung/Time-Series-Library
A Library for Advanced Deep Time Series Models.
chulhongsung/Time-Series-Works-Conferences
Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)
chulhongsung/treevae
Tree Variational Autoencoders pytorch implementation
chulhongsung/TrendClustering
Clustering for Regional Time Trend in the Nonstationary Extreme Distribution
chulhongsung/VAEs
Implementations of various VAE papers with tensorflow 2.0 or pytorch.
chulhongsung/XGBoost_quantile_regression