1 code implementation • 4 Dec 2023 • Shengkun Wang, Yangxiao Bai, Taoran Ji, Kaiqun Fu, Linhan Wang, Chang-Tien Lu
We showcase the state-of-the-art performance of our proposed model using a dataset, specifically curated by us, for predicting stock market movements and volatility.
no code implementations • 3 Dec 2023 • Shang-Ching Liu, Shengkun Wang, Wenqi Lin, Chung-Wei Hsiung, Yi-Chen Hsieh, Yu-Ping Cheng, Sian-Hong Luo, Tsungyao Chang, Jianwei Zhang
In this study, we introduce JarviX, a sophisticated data analytics framework.
1 code implementation • 28 Oct 2023 • Shengkun Wang, Yangxiao Bai, Kaiqun Fu, Linhan Wang, Chang-Tien Lu, Taoran Ji
For both investors and policymakers, forecasting the stock market is essential as it serves as an indicator of economic well-being.
1 code implementation • 11 Sep 2023 • Linhan Wang, Shuo Lei, Jianfeng He, Shengkun Wang, Min Zhang, Chang-Tien Lu
To tackle these challenges, we propose a Self-Correlation and Cross-Correlation Learning Network for the few-shot remote sensing image semantic segmentation.