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马翔
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Personal Information
  • Name (Pinyin):
    Ma Xiang
  • E-Mail:
  • Date of Employment:
    2024-07-11
  • School/Department:
    Shandong University
  • Education Level:
    With Certificate of Graduation for Doctorate Study
  • Business Address:
    山东省山东大学软件园校区科研楼326
  • Gender:
    Male
  • Degree:
    Doctoral Degree in Engineering
  • Status:
    Post-doctoral
  • Alma Mater:
    Shandong University
Biography

马翔,博士后,合作导师为崔立真教授。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、ACM MM、CVPR、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。



Education
  • 2020-09 — 2024-06
    山东大学
    Software Engineering
    Doctor of Engineering Professional Degree
  • 2017-09 — 2020-06
    Shandong University
    Computer Technology
    Master's Degree
  • 2013-09 — 2017-06
    China University of Geosciences (Wuhan)
    Computer Science and Technology
    Bachelor's Degree
Publication
Paper Publications

1. 马翔. ReCast: Reliability-aware Codebook-assisted Lightweight Time Series Forecasting .AAAI 2026 (Oral).2025

2. 马翔. Aligning the True Semantics: Constrained Decoupling and Distribution Sampling for Cross-Modal Alignment .AAAI 2026.2025

3. 马翔. Reliable Cross-modal Alignment via Prototype Iterative Construction .MM25.2025

4. Lexin Fang  and 马翔. Minding Fuzzy Regions: A Data-driven Alternating Learning Paradigm for Stable Lesion Segmentation. .CVPR.2025

5. 马翔 , 李雪梅 , Lexin Fang  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

6. 马翔 , 李雪梅 , Lexin Fang , Tianlong Zhao  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.2024,38 (13)

7. 马翔 , 李雪梅 , Wenzhi Feng , Lexin Fang  and 张彩明. Dynamic graph construction via motif detection for stock prediction .Information Processing & Management.2023,60 (6):103480

8. Wenzhi Feng , 马翔 , 李雪梅  and 张彩明. A representation learning framework for stock movement prediction .Applied Soft Computing.2023,144 :110409

9. Chenxun Yuan , 马翔 , Hua Wang , 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.2023,217 :119549

10. Tianlong Zhao , 马翔 , 李雪梅  and 张彩明. Asset correlation based deep reinforcement learning for the portfolio selection .Expert Systems with Applications.2023,221 :119707

11. 马翔 , Tianlong Zhao , Qiang Guo , 李雪梅  and 张彩明. Fuzzy Hypergraph Network for Recommending Top-K Profitable Stocks .Information Sciences.2022,613 :239-255

12. Xingtong Chen , 马翔 , Hua Wang , 李雪梅  and 张彩明. A hierarchical attention network for stock prediction based on attentive multi-view news learning .Neurocomputing.2022,504 :1-15

13. Tengteng Liu , 马翔 , Shuo Li , 李雪梅  and 张彩明. A stock price prediction method based on meta-learning and variational mode decomposition .Knowledge-Based Systems.2022,252 :109324

14. 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.2021,7 :483-497

Awards and Honours
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