张帆，男，1986年4月生。工学博士，教授，博士生导师，泰山学者青年专家。兼任未来健康智能医疗山东省高等学校未来产业工程研究中心主任、山东省未来智能金融工程实验室副主任、中国图学学会大数据专委会委员。主要研究方向为复杂数据统计学习、多模态医学影像分析、长序列时空预测。获山东计算机学会科学技术奖·自然科学奖二等奖1项。

教育经历

2009年毕业于山东大学计算机科学与技术专业，获工学学士学位

2015年毕业于山东大学计算机科学与技术专业，获工学博士学位

工作经历

2015.07-至今 山东工商学院 讲师、副教授、教授

主要科研和教学项目

[1]主持国家自然科学基金区域创新发展联合基金重点项目：脑肿瘤影像智能处理及三维建模关键技术研究（U24A20219），2025.01-2028.12

[2]主持烟台市科技创新发展计划项目：多模态影像融合的高精度颅脑智能计算与三维重建（2024JCYJ034），2024.09-2026.12

[3]主持山东省泰山学者青年专家项目（tsqn202306274），2023.01-2025.12

[4]主持国家自然科学基金面上项目：几何造型与机器学习融合的图像数据拟合问题研究（62272281），2022.09-2026.12

[5]主持山东省高等学校优秀青年创新团队：金融大数据计算与投资决策创新团队（2019KJN042），2019.12-2022.12

[6]主持国家自然科学基金青年项目：基于特征和稀疏性的图像去噪理论和算法研究（61602277），2017.01-2019.12

[7]主持山东省自然科学基金青年项目：图像放大中以边缘为约束的曲面拟合问题研究（ZR2016FQ12），2016.11-2019.06

主要论文

[1]IdealTSF: Can Non-Ideal Data Contribute to Enhancing the Performance of Time Series Forecasting Models?（通讯作者），AAAI Conference on Artificial Intelligence（AAAI-26），2026.03

[2]Multi-scale temporal correlation multi-dimensional decomposition network for time series analysis（第一作者），Pattern Recognition，2026

[3]Time-TK: A Multi-Offset Temporal Interaction Framework Combining Transformer and Kolmogorov-Arnold Networks for Time Series Forecasting（第一作者），The ACM Web Conference (WWW)，2026

[4]EEO-TFV: Escape-Explore Optimizer for Web-Scale Time-Series Forecasting and Vision Analysis（通讯作者），The ACM Web Conference (WWW)，2026

[5]PMNet: A progressive MLP-based framework for time series forecasting with long-short term dependency synergy（通讯作者），Applied Soft Computing，2026

[6]AlignTime: Interperiodic phase alignment sampling for time-series forecasting（通讯作者），Information Processing & Management，2026

[7]Decoding with Structured Awareness: Integrating Directional, Frequency-Spatial, and Structural Attention for Medical Image Segmentation（第一作者），AAAI Conference on Artificial Intelligence，2025.11

[8]MESA-Net: Multi-Scale Enhanced Spatial Attention Network for medical image segmentation（通讯作者），Computers & Graphics，2025.11

[9]Probabilistic intervals prediction based on adaptive regression with attention residual connections and covariance constraints（第一作者），Engineering Applications of Artificial Intelligence，2025.09

[10]Frequency decomposition and patch modeling framework for time-series forecasting（通讯作者），Applied Soft Computing，2025.09

[11]An Interactive Attention Mechanism Network Integrating the Cl Activation Function for Time Series Forecasting（通讯作者），IEEE Internet of Things Journal，2025.09

[12]Traffic prediction based on spatio-temporal feature embedding fusion and gate operation optimization（通讯作者），Neurocomputing，2025.09

[13]TS-AC: Teacher-Student Model With Aggregation Masked Convolution and Concentrated Linear Attention for Chest CT Abnormality Detection（通讯作者），IEEE Transactions on Instrumentation and Measurement，2025.09

[14]A channel-independent network based on wavelet enhancement for long-term time series forecasting（通讯作者），Engineering Applications of Artificial Intelligence，2025.08

[15]Robust memory-based graph neural networks for noisy and sparse graphs（通讯作者），Engineering Applications of Artificial Intelligence，2025.08

[16]SCA-Net: Seasonal Cycle-Aware Model Emphasizing Global and Local Features for Time Series Forecasting（通讯作者），International Journal of Intelligent Systems，2025.07

[17]CAWformer: A cross variable attention with discrete wavelet denoising for multivariate time series forecasting（通讯作者），Knowledge-Based Systems，2025.06

[18]Transforming time and space: efficient video super-resolution with hybrid attention and deformable transformers（3/4），The Visual Computer，2025.06

[19]A Lightweight Channel Correlation Invertible Network for Image Denoising（通讯作者），IET Image Processing，2025.05

[20]ADMNet: An adaptive downsampling multi-frequency multi-channel network for long-term time series forecasting（通讯作者），Expert Systems with Applications，2025.03

[21]CFDformer: Medical image segmentation based on cross fusion dual attention network（通讯作者），Biomedical Signal Processing and Control，2025.03

[22]Medical image segmentation with an emphasis on prior convolution and channel multi-branch attention（通讯作者），Digital Signal Processing，2025.03

[23]THATSN: Temporal hierarchical aggregation tree structure network for long-term time-series forecasting（第一作者），Information Sciences，2025.02

[24]Periodic decomposition and feature enhancement fusion for traffic forecasting（通讯作者），Engineering Applications of Artificial Intelligence，2025.02

[25]Cross-scale informative priors network for medical image segmentation（通讯作者），Digital Signal Processing，2025.02

[26]A Medical image segmentation model with auto-dynamic convolution and location attention mechanism（通讯作者），Computer Methods and Programs in Biomedicine，2025.01

[27]Mask autoencoder for enhanced image reconstruction with position coding offset and combined masking（通讯作者），The Visual Computer，2025.01

[28]Correctformer: A transformer architecture for correcting periodic drift in time-series forecasting（通讯作者），Neural Networks，2025

[29]FSMamba: A Dual-Expert Architecture with Fast Global Attention and Local-Enhanced State-space Mamba for Time Series Forecasting（通讯作者），Knowledge-Based Systems，2025

[30]Driven by textual knowledge: A Text-View Enhanced Knowledge Transfer Network for lung infection region segmentation，Medical Image Analysis，2025

[31]Effective Attention-Guided Multi-Scale Medical Network for Skin Lesion Segmentation（通讯作者），IEEE International Conference on Bioinformatics and Biomedicine (BIBM)，2025

[32]CF-DAN: Facial-expression recognition based on cross-fusion dual-attention network（第一作者），Computational Visual Media，2024.02

[33]Skip-Timeformer: Skip-Time Interaction Transformer for Long Sequence Time-Series Forecasting（通讯作者），International Joint Conference on Artificial Intelligence (IJCAI)，2024

[34]Computing nodes for plane data points by constructing cubic polynomial with constraints（通讯作者），Computer Aided Geometric Design，2024

[35]Decomposition fusion model for long sequence time-series forecasting（第一作者、通讯作者），Knowledge-Based Systems，2023.10

[36]Multi-scale video super-resolution transformer with polynomial approximation（第一作者、通讯作者），IEEE Transactions on Circuits and Systems for Video Technology，2023.09

[37]区域增强型注意力网络下的人脸表情识别（2/5），计算机辅助设计与图形学学报，2023.05

[38]Fast and highly coupled model for time series forecasting（5/5），Multimedia Tools and Applications，2023.05

[39]Force-directed graph layouts revisited: a new force based on the t-distribution，IEEE Transactions on Visualization and Computer Graphics，2023

[40]Neural-singular-hessian: Implicit neural representation of unoriented point clouds by enforcing singular hessian，ACM Transactions on Graphics，2023

[41]Om3: An ordered multi-level min-max representation for interactive progressive visualization of time series，ACM on Management of Data (SIGMOD)，2023

[42]Famc-net: Frequency domain parity correction attention and multi-scale dilated convolution for time series forecasting（通讯作者），ACM International Conference on Information and Knowledge Management (CIKM)，2023

[43]DUDB: deep unfolding-based dual-branch feature fusion network for pan-sharpening remote sensing images（通讯作者），IEEE Transactions on Geoscience and Remote Sensing，2023

[44]Prediction of stock market index based on ISSA-BP neural network（通讯作者），Expert Systems with Applications，2022.10

[45]基于边缘和距离约束的有理多项式图像放大（1/5），中国科学，2021.08

联系方式

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