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Machine learning-based analysis of volatility quantitative investment strategies for American financial stocks Journal article
Yan, Keyue, Li, Ying. Machine learning-based analysis of volatility quantitative investment strategies for American financial stocks[J]. Quantitative Finance and Economics, 2024, 8(2), 364-386.
Authors:  Yan, Keyue;  Li, Ying
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:3.2/2.2 | Submit date：2024/07/04
Machine Learning  Quantitative Investment  Time Series  Volatility Prediction  
Market Sentiment Analysis Based on Social Media and Trading Volume for Asset Price Movement Prediction Conference paper
Li, Jiahao, Gong, Yuyun, Zhao, Qinghua, Xie, Yufan, Fong, Simon, Yen, Jerome. Market Sentiment Analysis Based on Social Media and Trading Volume for Asset Price Movement Prediction[C]:Springer Science and Business Media Deutschland GmbH, 2023, 383-398.
Authors:  Li, Jiahao;  Gong, Yuyun;  Zhao, Qinghua;  Xie, Yufan;  Fong, Simon; et al.
Favorite | TC[Scopus]:0 | Submit date：2024/02/22
Fast Fourier Transform  Machine Learning  Market Sentiment Analysis  Price Movement Prediction  Time Series Synchronization Verification  Vader  
Prediction of Dissolved Oxygen in Rivers Based on LSTM Model with Improved Attention Mechanism 基于注意力机制优化的 LSTM 河流溶解氧预测模型研究 Journal article
Zhou, Quan, Hu, Xuanming, Wang, Dongkun, Zhang, Wucai, Chen, Zhongying, Wang, Jinpeng, Wang, Pengyang, Ren, Xiuwen. Prediction of Dissolved Oxygen in Rivers Based on LSTM Model with Improved Attention Mechanism 基于注意力机制优化的 LSTM 河流溶解氧预测模型研究[J]. Research of Environmental Sciences, 2023, 36(6), 1135-1146.
Authors:  Zhou, Quan;  Hu, Xuanming;  Wang, Dongkun;  Zhang, Wucai;  Chen, Zhongying; et al.
Favorite | TC[Scopus]:2 | Submit date：2023/07/20
Attention Mechanism  Dissolved Oxygen Prediction  Lstm Model  Time Series Prediction  
Synchronous Prediction of Asset Prices’ Multivariate Time Series Based on Multi-task Learning and Data Augmentation Conference paper
Li, Jiahao, Zhao, Qinghua, Fong, Simon, Yen, Jerome. Synchronous Prediction of Asset Prices’ Multivariate Time Series Based on Multi-task Learning and Data Augmentation[C]:Springer Science and Business Media Deutschland GmbH, 2023, 536-551.
Authors:  Li, Jiahao;  Zhao, Qinghua;  Fong, Simon;  Yen, Jerome
Favorite | TC[Scopus]:0 | Submit date：2024/02/22
Data Augmentation  Forex Forecast  Multi-task Learning  Multivariate Time Series Analysis  Synchronous Prediction  
Prediction of Bitcoin Prices’ Trends with Ensemble Learning Models Conference paper
Yan,Keyue, Wang,Yimeng. Prediction of Bitcoin Prices’ Trends with Ensemble Learning Models[C]. Academic Exchange Information Centre (AEIC), Chongqing Engineering Research Centre for Computer Vision Intelligence Technology, School of Artificial Intelligence:SPIE, 2023.
Authors:  Yan,Keyue;  Wang,Yimeng
Favorite | TC[Scopus]:3 | Submit date：2023/08/03
Ensemble Learning  Financial Time Series  Prediction  
Wind Power Prediction Based on Multi-Class Autoregressive Moving Average Model with Logistic Function Journal article
Yunxuan Dong, Shaodan Ma, Hongcai Zhang, Guanghua Yang. Wind Power Prediction Based on Multi-Class Autoregressive Moving Average Model with Logistic Function[J]. Journal of Modern Power Systems and Clean Energy, 2022, 10(5), 1184 - 1193.
Authors:  Yunxuan Dong;  Shaodan Ma;  Hongcai Zhang;  Guanghua Yang
Favorite | TC[WOS]:21 TC[Scopus]:23  IF:5.7/5.4 | Submit date：2023/03/01
Wind Power Prediction  Wind Generation  Time Series Analysis  Logistic Function Based Classification  
Model selection for RBF-ARX models Journal article
Chen, Qiong Ying, Chen, Long, Su, Jian Nan, Fu, Ming Jian, Chen, Guang Yong. Model selection for RBF-ARX models[J]. Applied Soft Computing, 2022, 121, 108723.
Authors:  Chen, Qiong Ying;  Chen, Long;  Su, Jian Nan;  Fu, Ming Jian;  Chen, Guang Yong
Favorite | TC[WOS]:7 TC[Scopus]:9  IF:7.2/7.0 | Submit date：2022/06/10
Model Selection  Genetic Algorithms  Parameter Estimation  Rbf-arx Models  Time Series Prediction  Variable Projection  
Trajectory Prediction Using Multivariate Time-series Data Stream Learning with Fused Kalman-filter and Evolving Correlated Horizons Feature Selection Conference paper
Li, Tengyue, Fong, Simon. Trajectory Prediction Using Multivariate Time-series Data Stream Learning with Fused Kalman-filter and Evolving Correlated Horizons Feature Selection[C], 2022, 663-670.
Authors:  Li, Tengyue;  Fong, Simon
Favorite | TC[Scopus]:0 | Submit date：2023/03/06
Data Analytics  Data Stream Mining  Kalman Filter  Multivariate Time Series Forecasting  Trajectory Prediction  
Maximum Information Exploitation Using Broad Learning System for Large-Scale Chaotic Time-Series Prediction Journal article
Han, Min, Li, Weijie, Feng, Shoubo, Qiu, Tie, Chen, C. L.Philip. Maximum Information Exploitation Using Broad Learning System for Large-Scale Chaotic Time-Series Prediction[J]. IEEE Transactions on Neural Networks and Learning Systems, 2021, 32(6), 2320-2329.
Authors:  Han, Min;  Li, Weijie;  Feng, Shoubo;  Qiu, Tie;  Chen, C. L.Philip
Favorite | TC[WOS]:31 TC[Scopus]:36  IF:10.2/10.4 | Submit date：2021/12/08
Broad Learning System (Bls)  Chaotic Time Series  Feature Reactivation  Maximum Information Exploitation (Mie)  Prediction  
Recurrent Broad Learning Systems for Time Series Prediction Journal article
Xu,Meiling, Han,Min, Chen,C. L.Philip, Qiu,Tie. Recurrent Broad Learning Systems for Time Series Prediction[J]. IEEE Transactions on Cybernetics, 2020, 50(4), 1405-1417.
Authors:  Xu,Meiling;  Han,Min;  Chen,C. L.Philip;  Qiu,Tie
Favorite | TC[WOS]:170 TC[Scopus]:180  IF:9.4/10.3 | Submit date：2021/03/09
Broad Learning Systems (Blss)  Neural Networks (Nns)  Prediction  Time Series