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Predicting Peptide Permeability Across Diverse Barriers: A Systematic Investigation Journal article
Tan, Xiaorong, Liu, Qianhui, Fang, Yanpeng, Zhu, Yingli, Chen, Fei, Zeng, Wenbin, Ouyang, Defang, Dong, Jie. Predicting Peptide Permeability Across Diverse Barriers: A Systematic Investigation[J]. Molecular Pharmaceutics, 2024, 21(8), 4116-4127.
Authors:  Tan, Xiaorong;  Liu, Qianhui;  Fang, Yanpeng;  Zhu, Yingli;  Chen, Fei; et al.
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:4.5/4.6 | Submit date：2024/08/05
Cell Permeability  Drug Delivery  Graph Neural Network  Machine Learning  Peptide  Permeability Prediction  
Multimodal Machine Learning for Prognosis and Survival Prediction in Renal Cell Carcinoma Patients: A Two-Stage Framework with Model Fusion and Interpretability Analysis Journal article
Yan, Keyue, Fong, Simon, Li, Tengyue, Song, Qun. Multimodal Machine Learning for Prognosis and Survival Prediction in Renal Cell Carcinoma Patients: A Two-Stage Framework with Model Fusion and Interpretability Analysis[J]. APPLIED SCIENCES-BASEL, 2024, 14(13), 5686.
Authors:  Yan, Keyue;  Fong, Simon;  Li, Tengyue;  Song, Qun
Favorite | TC[WOS]:0 TC[Scopus]:1  IF:2.5/2.7 | Submit date：2024/08/05
Machine Learning  Multimodal Data  Renal Cell Carcinoma  Survival Prediction  
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  
Machine learning-based quantitative trading strategies across different time intervals in the American market Journal article
Wang, Yimeng, Yan, Keyue. Machine learning-based quantitative trading strategies across different time intervals in the American market[J]. Quantitative Finance and Economics, 2023, 7(4), 569-594.
Authors:  Wang, Yimeng;  Yan, Keyue
Favorite | TC[WOS]:3 TC[Scopus]:5  IF:3.2/2.2 | Submit date：2024/02/22
Machine Learning  Moving Average  Quantitative Trading  Stock Price Prediction  
PERT-GNN: Latency Prediction for Microservice-based Cloud-Native Applications via Graph Neural Networks Conference paper
Da Sun Handason Tam, Yang Liu, Huanle Xu, Siyue Xie, Wing Cheong Lau. PERT-GNN: Latency Prediction for Microservice-based Cloud-Native Applications via Graph Neural Networks[C], 2023, 2155 - 2165.
Authors:  Da Sun Handason Tam;  Yang Liu;  Huanle Xu;  Siyue Xie;  Wing Cheong Lau
Favorite | TC[WOS]:2 TC[Scopus]:5 | Submit date：2023/07/30
Delay Prediction  Microservices  Cloud Computing  Graph Neural Networks  Graph Transformers  Machine Learning  
Accurate water level predictions in a tidal reach: Integration of Physics-based and Machine learning approaches Journal article
Fei, Kai, Du, Haoxuan, Gao, Liang. Accurate water level predictions in a tidal reach: Integration of Physics-based and Machine learning approaches[J]. Journal of Hydrology, 2023, 622, 129705.
Authors:  Fei, Kai;  Du, Haoxuan;  Gao, Liang
Favorite | TC[WOS]:12 TC[Scopus]:13  IF:5.9/6.4 | Submit date：2023/08/03
Hydrologic-hydrodynamic Coupling Model  Machine Learning  Relative Contribution  Tidal Reach  Upstream Discharge  Water Level Prediction  
Predicting Adolescent Mental Health Outcomes Across Cultures: A Machine Learning Approach Journal article
Rothenberg,W. Andrew, Bizzego,Andrea, Esposito,Gianluca, Lansford,Jennifer E., Al-Hassan,Suha M., Bacchini,Dario, Bornstein,Marc H., Chang,Lei, Deater-Deckard,Kirby, Di Giunta,Laura, Dodge,Kenneth A., Gurdal,Sevtap, Liu,Qin, Long,Qian, Oburu,Paul, Pastorelli,Concetta, Skinner,Ann T., Sorbring,Emma, Tapanya,Sombat, Steinberg,Laurence, Tirado,Liliana Maria Uribe, Yotanyamaneewong,Saengduean, Alampay,Liane Peña. Predicting Adolescent Mental Health Outcomes Across Cultures: A Machine Learning Approach[J]. JOURNAL OF YOUTH AND ADOLESCENCE, 2023, 52(8), 1595-1619.
Authors:  Rothenberg,W. Andrew;  Bizzego,Andrea;  Esposito,Gianluca;  Lansford,Jennifer E.;  Al-Hassan,Suha M.; et al.
Favorite | TC[WOS]:12 TC[Scopus]:16  IF:3.7/5.3 | Submit date：2023/08/03
Machine Learning  Externalizing  Internalizing  Adolescence  Prediction  Parenting  
Predicting liposome formulations by the integrated machine learning and molecular modeling approaches Journal article
Han, Run, Ye, Zhuyifan, Zhang, Yunsen, Cheng, Yaxin, Zheng, Ying, Ouyang, Defang. Predicting liposome formulations by the integrated machine learning and molecular modeling approaches[J]. Asian Journal of Pharmaceutical Sciences, 2023, 18(3), 100811.
Authors:  Han, Run;  Ye, Zhuyifan;  Zhang, Yunsen;  Cheng, Yaxin;  Zheng, Ying; et al.
Favorite | TC[WOS]:13 TC[Scopus]:13  IF:10.7/9.0 | Submit date：2023/06/05
Formulation Prediction  Liposome  Machine Learning  Molecular Modeling  
A multi-site tide level prediction model based on graph convolutional recurrent networks Journal article
Xinlong Zhang, Tengfei Wang, Weiping Wang, Ping Shen, Zhongya Cai, Huayang Cai. A multi-site tide level prediction model based on graph convolutional recurrent networks[J]. Ocean Engineering, 2023, 269, 113579.
Authors:  Xinlong Zhang;  Tengfei Wang;  Weiping Wang;  Ping Shen;  Zhongya Cai; et al.
Favorite | TC[WOS]:7 TC[Scopus]:9  IF:4.6/4.8 | Submit date：2023/02/22
Multi-site Tide  Tide Level Prediction  Machine Learning  Graph Convolutional Recurrent Networks