Sub-Voxel Continuous Geometry Learning for Topology-Preserving Vascular Segmentation
投稿期刊/会议：Medical Image Analysis
People / Profile
黄思远
2025 博士研究生
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Biography
个人简介
I am currently a Ph.D. student (from fall, 2025) in School of Software , Shandong University , under the supervision of Prof. Caiming Zhang and Xuemei Li . My research interests lie in deep and scientific learning, especially science-inspired model architectures. My research goal is to model this ever-changing and non-stationary world through scientific and interpretable deep models. I am also working hard on Web3 and blockchain technology to explore how to build a more open, transparent and secure network environment.
Research Areas
研究方向
医学影像分析
Under Review
在投论文
Personal Publications
已发表论文
Future horizon-guided trend projection: A proactive mapping framework for long-term time series forecasting
Knowledge-Based Systems · KBS · 一区 · CCF-C
FL-Net: A multi-scale cross-decomposition network with frequency external attention for long-term time series forecasting
Knowledge-Based Systems · KBS · 一区 · CCF-C
MEAformer: An all-MLP transformer with temporal external attention for long-term time series forecasting
Information Sciences · INS · 一区 · CCF-B
Crosswavenet: A dual-channel network with deep cross-decomposition for long-term time series forecasting
Expert Systems with Applications · ESWA · 一区 · CCF-C
A stock series prediction model based on variational mode decomposition and dual-channel attention network
Expert Systems with Applications · ESWA · 一区 · CCF-C
SDVS-Net: A spatial dilated convolution and variable self-attention network for multivariate long-term time series forecasting
Neurocomputing · NC · 二区 · CCF-C
LMM-UNet: A lightweight UNet with multi-dilated coordinate enhanced and multi-level mixer for skin lesions segmentation
Digital Signal Processing · DSP · 三区
Education
教育经历
黄河交通学院
本科 · 数据科学与大数据技术
山东工商学院
硕士 · 计算机科学与技术
山东大学
博士 · 人工智能