马翔
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Personal Information:
  • Name (Pinyin):
    Ma Xiang
  • Date of Birth:
    1996-02-23
  • E-Mail:
    xiangma@sdu.edu.cn
  • 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。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。



Education
  • 2020-9 — 2024-6
    Shandong University
    Software Engineering
    博士
  • 2013-9 — 2017-6
    China University of Geosciences (Wuhan)
    Computer Science and Technology
    Bachelor's Degree
  • 2017-9 — 2020-6
    Shandong University
    Computer Technology
    Master's Degree
Publication
Research direction

No contents

Papers

1. Ma Xiang , Li Xuemei , Lexin Fang  and zhangcaiming. Bridging the Modality Gap: Dimension Information Alignment and Sparse Spatial Constraint for Image-Text Matching .ACM Multimedia 2024 (MM'24).2024

2. Ma Xiang , Li Xuemei , Lexin Fang , Tianlong Zhao  and zhangcaiming. U-Mixer: An Unet-Mixer Architecture with Stationarity Correction for Time Series Forecasting .Proceedings of the AAAI Conference on Artificial Intelligence.2024,38 (13)

3. Ma Xiang , Li Xuemei , Wenzhi Feng , Lexin Fang  and zhangcaiming. Dynamic graph construction via motif detection for stock prediction .Information Processing & Management.2023,60 (6):103480

4. Wenzhi Feng , Ma Xiang , Li Xuemei  and zhangcaiming. A representation learning framework for stock movement prediction .Applied Soft Computing.2023,144 :110409

5. Chenxun Yuan , Ma Xiang , Hua Wang , zhangcaiming  and Li Xuemei. COVID19-MLSF: A multi-task learning-based stock market forecasting framework during the COVID-19 pandemic .Expert Systems with Applications.2023,217 :119549

6. Tianlong Zhao , Ma Xiang , Li Xuemei  and zhangcaiming. Asset correlation based deep reinforcement learning for the portfolio selection .Expert Systems with Applications.2023,221 :119707

7. Ma Xiang , Tianlong Zhao , Qiang Guo , Li Xuemei  and zhangcaiming. Fuzzy Hypergraph Network for Recommending Top-K Profitable Stocks .Information Sciences.2022,613 :239-255

8. Xingtong Chen , Ma Xiang , Hua Wang , Li Xuemei  and zhangcaiming. A hierarchical attention network for stock prediction based on attentive multi-view news learning .Neurocomputing.2022,504 :1-15

9. Tengteng Liu , Ma Xiang , Shuo Li , Li Xuemei  and zhangcaiming. A stock price prediction method based on meta-learning and variational mode decomposition .Knowledge-Based Systems.2022,252 :109324

10. Ma Xiang , Zhou Yuanfeng , Li Xuemei  and zhangcaiming. Image smoothing based on global sparsity decomposition and a variable parameter .Computational Visual Media.2021,7 :483-497

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