순천향대학교 AI·빅데이터학과 ADS 연구실

Welcome to the official channel of the Laboratory for Applied Data Science, part of the Department of AI and Big Data at Soonchunhyang University. Our research lab primarily focuses on studies related to investment strategies in the stock market (including futures) using artificial intelligence.

[Paper Review]FactorVQVAE: Discrete latent factor model via Vector Quantized Variational Autoencoder
[Paper Review]FactorVQVAE: Discrete latent factor model via Vector Quantized Variational Autoencoder
[Paper Review] GNN-based social media sentiment analysis for stock market forecasting and trading
[Paper Review] GNN-based social media sentiment analysis for stock market forecasting and trading
[Paper Review]An enhanced interval-valued decomposition integration model for stock price prediction
[Paper Review]An enhanced interval-valued decomposition integration model for stock price prediction
[Paper Review] Hidden-layer configurations in reinforcement learning models for stock portfolio
[Paper Review] Hidden-layer configurations in reinforcement learning models for stock portfolio
[Paper Review] Leveraging multi-time-span sequences and feature correlations for improved stock
[Paper Review] Leveraging multi-time-span sequences and feature correlations for improved stock
[Paper Review] A multi-agent reinforcement learning framework for optimizing financial trading
[Paper Review] A multi-agent reinforcement learning framework for optimizing financial trading
[Paper Review]Leveraging multi-time-span sequences and feature correlations for improved stock trend
[Paper Review]Leveraging multi-time-span sequences and feature correlations for improved stock trend
[Paper Review] Deep learning in stock portfolio selection and predictions
[Paper Review] Deep learning in stock portfolio selection and predictions
[Paper Review] Forecasting financial signal for automated trading: An interpretable approach
[Paper Review] Forecasting financial signal for automated trading: An interpretable approach
[Paper Review] A new LSTM based reversal point prediction method using upward/downward
[Paper Review] A new LSTM based reversal point prediction method using upward/downward
[Paper Review] Automated cryptocurrency trading approach using ensemble deep reinforcement learning
[Paper Review] Automated cryptocurrency trading approach using ensemble deep reinforcement learning
[Paper Review] A novel Deep Reinforcement Learning based automated stock trading system
[Paper Review] A novel Deep Reinforcement Learning based automated stock trading system
[Paper Review] Stock market forecasting using a multi-task approach integrating long short-term
[Paper Review] Stock market forecasting using a multi-task approach integrating long short-term
[Paper Review] Series decomposition Transformer with period-correlation for stock market index
[Paper Review] Series decomposition Transformer with period-correlation for stock market index
[Paper Review] A stock time series forecasting approach incorporating candlestick patterns
[Paper Review] A stock time series forecasting approach incorporating candlestick patterns
[Paper Review] Stockformer: A price–volume factor stock selection model based on wavelet transform
[Paper Review] Stockformer: A price–volume factor stock selection model based on wavelet transform
[Paper Review] Stock return prediction with multiple measures using neural network models
[Paper Review] Stock return prediction with multiple measures using neural network models
[Paper Review] An interpretable intuitionistic fuzzy inference model for stock prediction
[Paper Review] An interpretable intuitionistic fuzzy inference model for stock prediction
[Paper Review] Enhanced stock price forecasting through a regularized ensemble framework with GCNs
[Paper Review] Enhanced stock price forecasting through a regularized ensemble framework with GCNs
[Paper Review] Exploiting experience accumulation in stock price prediction with continual learning
[Paper Review] Exploiting experience accumulation in stock price prediction with continual learning
[Paper Review] Transformer-based attention network for stock movement prediction
[Paper Review] Transformer-based attention network for stock movement prediction
[Paper Review] Prediction of index futures movement using TimeGAN and 3D-CNN:Empirical evidence
[Paper Review] Prediction of index futures movement using TimeGAN and 3D-CNN:Empirical evidence
[Paper Review] MWDINet: A multilevel wavelet decomposition interaction network for stock price
[Paper Review] MWDINet: A multilevel wavelet decomposition interaction network for stock price
[Paper Review] Stock price momentum modeling using social media data
[Paper Review] Stock price momentum modeling using social media data
[Paper Review] The application research of neural network and BP algorithm in stock price pattern
[Paper Review] The application research of neural network and BP algorithm in stock price pattern
[Paper Review] Attention-based CNN–LSTM for high-frequency multiple cryptocurrencytrend prediction
[Paper Review] Attention-based CNN–LSTM for high-frequency multiple cryptocurrencytrend prediction
[Paper Review] DTSMLA: A dynamic task scheduling multi-level attention model for stock ranking
[Paper Review] DTSMLA: A dynamic task scheduling multi-level attention model for stock ranking
[Paper Review] Predicting the highest and lowest stock price indices
[Paper Review] Predicting the highest and lowest stock price indices
[Paper Review] Stock price prediction using deep learning and frequency decomposition
[Paper Review] Stock price prediction using deep learning and frequency decomposition
[Paper Review] Multi-scale contrast approach for stock index prediction with adaptive stock fusion
[Paper Review] Multi-scale contrast approach for stock index prediction with adaptive stock fusion