| A labeling method for financial time series prediction based on trends D Wu, X Wang, J Su, B Tang, S Wu Entropy 22 (10), 1162, 2020 | 54 | 2020 |
| A hybrid method based on extreme learning machine and wavelet transform denoising for stock prediction D Wu, X Wang, S Wu Entropy 23 (4), 440, 2021 | 35 | 2021 |
| Jointly modeling transfer learning of industrial chain information and deep learning for stock prediction D Wu, X Wang, S Wu Expert Systems with Applications 191, 116257, 2022 | 30 | 2022 |
| A stock time series forecasting approach incorporating candlestick patterns and sequence similarity M Liang, S Wu, X Wang, Q Chen Expert Systems with Applications 205, 117595, 2022 | 24 | 2022 |
| A hybrid framework based on extreme learning machine, discrete wavelet transform, and autoencoder with feature penalty for stock prediction D Wu, X Wang, S Wu Expert Systems with Applications 207, 118006, 2022 | 19 | 2022 |
| Construction of stock portfolios based on k-means clustering of continuous trend features D Wu, X Wang, S Wu Knowledge-Based Systems 252, 109358, 2022 | 18 | 2022 |
| Pfc: A novel perceptual features-based framework for time series classification S Wu, X Wang, M Liang, D Wu Entropy 23 (8), 1059, 2021 | 6 | 2021 |
| A novel time-sensitive composite similarity model for multivariate time-series correlation analysis M Liang, X Wang, S Wu Entropy 23 (6), 731, 2021 | 6 | 2021 |
| Improving stock trend prediction through financial time series classification and temporal correlation analysis based on aligning change point M Liang, X Wang, S Wu Soft Computing 27 (7), 3655-3672, 2023 | 5 | 2023 |
| Statistical analysis of the community lockdown for COVID-19 pandemic S Wu, X Wang, J Su Applied Intelligence 52 (4), 3465-3482, 2022 | 5 | 2022 |
| VGbel: An exploration of ensemble learning incorporating non-Euclidean structural representation for time series classification S Wu, M Liang, X Wang, Q Chen Expert Systems with Applications 224, 119942, 2023 | 4 | 2023 |
Dingming Wu电子科技大学Verified email at uestc.edu.cn
