马翔，博士后。2024年6月于山东大学软件学院获得博士学位，师从张彩明教授。研究兴趣主要包括时间序列分析与决策、多模态信息融合、计算机视觉、大模型高效迁移等。在国内外顶级期刊和会议等发表论文多篇，如AAAI、ACMMM、INS、IPM等，担任多个国际顶级会议与期刊的评审人或者程序委员会委员。
时间序列分析与决策（新能源、金融、气象等领域的应用）
多模态大模型
可信学习
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1. 马翔. Reliable Cross-modal Alignment via Prototype Iterative Construction. MM25, 2025.
2. 房乐鑫 and 马翔. Minding Fuzzy Regions: A Data-driven Alternating Learning Paradigm for Stable Lesion Segmentation.. CVPR, 2025.
3. 马翔 , 李雪梅 , 房乐鑫 and 张彩明. Bridging the Modality Gap: Dimension Information Alignment and Sparse Spatial Constraint for Image-Text Matching. ACM Multimedia 2024 (MM'24), 2024.
4. 马翔 , 李雪梅 , 房乐鑫 , 赵天龙 and 张彩明. U-Mixer: An Unet-Mixer Architecture with Stationarity Correction for Time Series Forecasting. Proceedings of the AAAI Conference on Artificial Intelligence, 38, 2024.
5. 马翔 , 李雪梅 , 冯文治 , 房乐鑫 and 张彩明. Dynamic graph construction via motif detection for stock prediction. Information Processing & Management, 60, 103480, 2023.
6. 冯文治 , 马翔 , 李雪梅 and 张彩明. A representation learning framework for stock movement prediction. Applied Soft Computing, 144, 110409, 2023.
7. 袁晨迅 , 马翔 , 王桦 , 张彩明 and 李雪梅. COVID19-MLSF: A multi-task learning-based stock market forecasting framework during the COVID-19 pandemic. Expert Systems with Applications, 217, 119549, 2023.
8. 赵天龙 , 马翔 , 李雪梅 and 张彩明. Asset correlation based deep reinforcement learning for the portfolio selection. Expert Systems with Applications, 221, 119707, 2023.
9. 马翔 , 赵天龙 , 郭强 , 李雪梅 and 张彩明. Fuzzy Hypergraph Network for Recommending Top-K Profitable Stocks. Information Sciences, 613, 239-255, 2022.
10. 陈星潼 , 马翔 , 王桦 , 李雪梅 and 张彩明. A hierarchical attention network for stock prediction based on attentive multi-view news learning. Neurocomputing, 504, 1-15, 2022.
11. 刘腾腾 , 马翔 , 李硕 , 李雪梅 and 张彩明. A stock price prediction method based on meta-learning and variational mode decomposition. Knowledge-Based Systems, 252, 109324, 2022.
12. 马翔 , 周元峰 , 李雪梅 and 张彩明. Image smoothing based on global sparsity decomposition and a variable parameter. Computational Visual Media, 7, 483-497, 2021.
1. XXX的可用性评测研究-2028/04/05, 省联合重点项目
