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个人信息Personal Information
教授 博士生导师 硕士生导师
性别：女
在职信息：在职
所在单位：软件学院
入职时间：1997-07-01
学科：计算机应用技术
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- [1] 田广坡. MultiWaveNet: A long time series forecasting framework based on multi-scale analysis and multi-channel feature fusion. Expert Systems with Applications, 124088, 2024.
- [2] 马翔. U-Mixer: An Unet-Mixer Architecture with Stationarity Correction for Time Series Forecasting.. 2024.
- [3] 赵天龙. Diff-MGR: Dynamic causal graph attention and pattern reproduction guided diffusion model for multivariate time series probabilistic forecasting. Information Sciences, 120742, 2024.
- [4] 马翔. Bridging the Modality Gap: Dimension Information Alignment and Sparse Spatial Constraint for Image-Text Matching. 2024.
- [5] 李澳. Multi-scale convolution enhanced transformer for multivariate long-term timeseries forecasting. NEURAL NETWORKS, 106745, 2024.
- [6] 雷曾裕. DR-GAT: Dynamic routing graph attention network for stock recommendation. Information Sciences, 119833, 2024.
- [7] 杨震. MDF-DMC: A stock prediction model combining multi-view stock data features with dynamic market correlation information. Expert Systems with Applications, 122134, 2024.
- [8] 文德春. MWDINet: A multilevel wavelet decomposition interaction network for stock price prediction. Expert Systems with Applications, 122091, 2024.
- [9] 田光坡. MultiWaveNet: A long time series forecasting framework based on multi-scale analysis and multi-channel feature fusion. Expert Systems with Applications, 251, 2024.
- [10] 文德春. MWDINet: A multilevel wavelet decomposition interaction network for stock price prediction. Expert Systems with Applications, 238, 2024.
- [11] 杨震. MDF-DMC: A stock prediction model combining multi-view stock data features with dynamic market correlation information. Expert Systems with Applications, 238, 2024.
- [12] 冯文治. A representation learning framework for stock movement prediction. Applied Soft Computing, 144, 2023.
- [13] 雷曾裕. DR-GAT: Dynamic routing graph attention network for stock recommendation. Information Sciences, 654, 2024.
- [14] 刘化金. A stock rank prediction method combining industry attributes and price data of stocks. Information Processing & Management, 60, 2023.
- [15] 赵天龙. Asset correlation based deep reinforcement learning for the portfolio selection. Expert Systems with Applications, 221, 2023.
- [16] 宋国伟. Stock ranking prediction using a graph aggregation network based on stock price and stock relationship information. Information Sciences, 643, 2023.
- [17] 马翔. Dynamic graph construction via motif detection for stock prediction. Information Processing & Management, 60, 2023.
- [18] 袁晨迅. COVID19-MLSF: A multi-task learning-based stock market forecasting framework during the COVID-19 pandemic. Expert Systems with Applications, 119549, 2023.
- [19] Chenxun Yuan. COVID19-MLSF: A multi-task learning-based stock market forecasting framework during the COVID-19 pandemic. Expert Systems With Applications, 217, 2023.
- [20] 刘腾腾. A stock price prediction method based on meta-learning and variational mode decomposition. Knowledge-Based Systems, 2022.