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马翔

博士后

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Biography

个人简介

山东大学博士后,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。

Research Areas

研究方向

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

Personal Publications

已发表论文

2026

ReCast: Reliability-aware Codebook-assisted Lightweight Time Series Forecasting

AAAI Conference on Artificial Intelligence · AAAI · CCF-A

2026

Aligning the True Semantics: Constrained Decoupling and Distribution Sampling for Cross-Modal Alignment

AAAI Conference on Artificial Intelligence · AAAI · CCF-A

2025

Reliable Cross-modal Alignment via Prototype Iterative Construction

ACM International Conference on Multimedia · ACM MM · CCF-A

2025

Minding Fuzzy Regions: A Data-driven Alternating Learning Paradigm for Stable Lesion Segmentation

IEEE/CVF Conference on Computer Vision and Pattern Recognition · CVPR · CCF-A

2024

Bridging the Modality Gap: Dimension Information Alignment and Sparse Spatial Constraint for Image-Text Matching

ACM International Conference on Multimedia · ACM MM · CCF-A

2024

U-Mixer: An Unet-Mixer Architecture with Stationarity Correction for Time Series Forecasting

AAAI Conference on Artificial Intelligence · AAAI · CCF-A

2023

Dynamic graph construction via motif detection for stock prediction

Information Processing & Management · IPM · CCF-B

2023

A representation learning framework for stock movement prediction

Applied Soft Computing · ASOC · 二区

2023

COVID19-MLSF: A multi-task learning-based stock market forecasting framework during the COVID-19 pandemic

Expert Systems with Applications · ESWA · 一区

2023

Asset correlation based deep reinforcement learning for the portfolio selection

Expert Systems with Applications · ESWA · 一区

2022

Fuzzy Hypergraph Network for Recommending Top-K Profitable Stocks

Information Sciences · IS · CCF-B

2022

A hierarchical attention network for stock prediction based on attentive multi-view news learning

Neurocomputing · Neurocomputing · CCF-C

2022

A stock price prediction method based on meta-learning and variational mode decomposition

Knowledge-Based Systems · KBS · 一区

2021

Image smoothing based on global sparsity decomposition and a variable parameter

Computational Visual Media · CVM · 二区

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Education

教育经历

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中国地质大学(武汉)

本科

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山东大学

硕士

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山东大学

博士

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山东大学博士后

其他