| Enhancing financial risk management through lstm and extreme value theory: A high-frequency trading volume approach M Sun, Z Feng, Z Li, W Gu, X Gu Journal of Computer Technology and Software 3 (3), 2024 | 14 | 2024 |
| Application of adaptive machine learning systems in heterogeneous data environments X Wu, Y Wu, X Li, Z Ye, X Gu, Z Wu, Y Yang Global Academic Frontiers 2 (3), 37-50, 2024 | 10 | 2024 |
| Feature Extraction and Model Optimization of Deep Learning in Stock Market Prediction Y Wei, X Gu, Z Feng, Z Li, M Sun Journal of Computer Technology and Software 3 (4), 2024 | 4 | 2024 |
| Design and Optimization of Big Data and Machine Learning-Based Risk Monitoring System in Financial Markets L Wang, Y Cheng, X Gu, Z Wu arXiv preprint arXiv:2407.19352, 2024 | | 2024 |
| From 2015 to 2023: How Machine Learning Aids Natural Product Analysis S Shi, Z Huang, X Gu, X Lin, C Zhong, J Hang, J Lin, CC Zhong, L Zhang, ... arXiv preprint arXiv:2408.00793, 2024 | | 2024 |
| Applying Conditional Generative Adversarial Networks for Imaging Diagnosis H Yang, Y Hu, S He, T Xu, J Yuan, X Gu arXiv preprint arXiv:2408.02074, 2024 | | 2024 |
| MopIR: a machine-learning-oriented data preprocessing pipeline for precise analysis of infrared spectroscopy Z Huang, X Gu, S Shi, X Meng, J Hang, J Lin, CC Zhong, Y Li, J Huang | | 2024 |
| Apply Machine Learning to Determine Cannabinoids Concentration in Cannabis H Deng, Z Huang, S Shi, X Gu, X Chen, H Yu, J Peng 2023 ASP Annual Meeting, 139, 2023 | | 2023 |
| Attitude towards Tradition, Operation Motivation and Strategies —— A Comparative Study of B&Bs in the Netherlands and Taiwan X Gu, E Ma HT Grad Conference 2020, 139, 2020 | | 2020 |
