一、个人基本信息：

张帆，男，博士，教授，泰山学者青年专家。现任山东工商学院计算机科学与技术学院副院长，学术带头人，分管科研、研究生、学科建设等工作。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，山东省脑肿瘤影像智能处理及三维重建创新实验室主任、山东省未来智能金融工程实验室副主任，国家自然科学基金通讯、会议评审专家，CCF YOCSEF济南副主席，CCFCAD&CG专委会执行委员，CSIAM GDC专委会委员，中国图学学会大数据专委会委员，山东省高等学校优秀青年创新团队带头人。本硕博均毕业于山东大学，博士期间参与国家建设高水平大学公派研究生项目赴美联合培养两年。主持国家自然科学基金项目3项，及多项省部级项目。在国内外高水平期刊、会议发表论文100余篇。获山东工商学院“凤凰青年才俊”、“科研标兵”、“最美教师”、“优秀研究生导师”等称号。

联系方式：zhangfan51@sina.com

实验室网站：https://www.tide-lab.cn

二、研究领域：

人工智能、计算机图形学、医学影像处理、时间序列分析

三、科研项目：

[1]主持国家自然科学基金联合重点项目：脑肿瘤影像智能处理及三维建模关键技术研究(U24A20219),2025.01-2028.12，258万元

[2]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)，2023.01-2026.12，54万元

[3]山东省高等学校优秀青年创新团队带头人，金融大数据计算与投资决策创新团队(2019KJN042)，2019.12-2022.12，20万元

[4]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)，2017.01-2019.12，20万元

[5]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)，2016.11-2019.06，11万元

四、发明专利

[1]一种基于多尺度融合的鲁棒三维表面重建方法，ZL202511500006.X，2026

[2]基于数据平滑和多项式激活函数的交通时间序列预测方法，ZL202510389852.2，2026

[3]基于通道感知聚合Transformer的图像超分辨率重建方法,ZL202511499896.7，2026

[4]基于时空特征嵌入与门操作优化的交通预测方法及装置，ZL202510486614.3，2025

[5]基于加权局部曲面逼近的鲁棒三维重建方法，ZL202510495068.X，2025

[6]基于低秩分解和动态增强的时间序列预测方法及装置，ZL202511148620.4，2025

[7]基于可变分解与卷积注意力建模的时间序列预测方法，ZL202510494484.8，2025

[8]基于多尺度特征的潜在数据成分提取的时间序列预测方法，ZL202510156796.8，2025

[9]基于九曲面片双四次拟合的图像放大方法和装置，ZL202210683222.2，2023

[10]可注射水凝胶疗效评估的左心室几何模型构造方法和装置，ZL202010395497.7，2021

五、近年部分论文

[1]F Zhang, Z Gu, H Wang.Decoding with structured awareness: integrating directional, frequency-spatial, and structural attention for medical image segmentation, The AAAI Conference on Artificial Intelligence, AAAI 2026.

[2]F Zhang, L Yuan, W Zhang, et al. Multi-scale temporal correlation multi-dimensional decomposition network for time series analysis. Pattern Recognition, 2026.

[3]F Zhang, S Fan, H Wang.Time-TK: A Multi-Offset Temporal Interaction Framework Combining Transformer and Kolmogorov-Arnold Networks for Time Series Forecasting. TheACM WEB Conference, WWW 2026.

[4]H Wang,JLu,FZhang*.IdealTSF: Can Non-Ideal Data Contribute to Enhancing the Performance of Time Series Forecasting Models?the AAAI Conference on Artificial Intelligence,AAAI 2026.  

[5]H Wang,JLu,F Zhang*.EEO-TFV: Escape-Explore Optimizer for Web-Scale Time-Series Forecasting and Vision Analysis. TheACM WEB Conference, WWW 2026.  

[6]S Chen, H Wang, F Zhang*. PMNet: A progressive MLP-based framework for time series forecasting with long-short term dependency synergy. Applied Soft Computing, 2026.

[7]M Wang, H Wang, F Zhang*. AlignTime: Interperiodic phase alignment sampling for time-series forecasting. Information Processing & Management, 2026.

[8]M Wang, H Wang, F Zhang*. Correctformer: A transformer architecture for correcting periodic drift in time-series forecasting. Neural Networks, 2025.

[9]S Fan, H Wang, F Zhang*. FSMamba: A Dual-Expert Architecture with Fast Global Attention and Local-Enhanced State-space Mamba for Time Series Forecasting. Knowledge-Based Systems,2025.

[10]L Jiang, W Zhang, H Wang, F Zhang*, Robust memory-based graph neural networks for noisy and sparse graphs, Engineering Applications of Artificial Intelligence, 2025

[11]D Liu, H Wang, F Zhang*. TS-AC: Teacher–Student Model with Aggregation Masked Convolution and Concentrated Linear Attention for Chest CT Abnormality Detection, IEEE Transactions on Instrumentation and Measurement, 2025

[12]L Yuan, H Wang, F Zhang*.An Interactive Attention Mechanism Network Integrating the Activation Function for Time Series Forecasting. IEEE Internet of Things Journal, 2025.  

[13]Y Wang, H Wang,F Zhang*. A medical image segmentation model with auto-dynamic convolution and location attention mechanism. Computer Methods and Programs in Biomedicine, 2025

[14]Z Yang, H Wang, Y Liu, F Zhang*. CFDformer: Medical image segmentation based on cross fusion dual attention network. Biomedical Signal Processing and Control, 2025.

[15]L Fang, X Li, Y Xu, F Zhang,C Zhang. Driven by textual knowledge: A Text-View Enhanced Knowledge Transfer Network for lung infection region segmentation. Medical Image Analysis, 2025.

[16]F Zhang,M Wang, W Zhang, H Wang. THATSN: Temporal hierarchical aggregation tree structure network for long-term time-series forecasting. Information Sciences, 2025.

[17]S Wang, H Wang, H Li, F Zhang*. Effective Attention-Guided Multi-Scale Medical Network for Skin Lesion Segmentation. BIBM 2025.

[18]D Liu, Z Yang, H Wang, H Li, F Zhang*. MESA-Net: Multi-Scale Enhanced Spatial Attention Network for medical image segmentation. Computers & Graphics, 2025.

[19]W Zhang, H Wang, F Zhang*. Skip-Timeformer: Skip-Time Interaction Transformer for Long Sequence Time-Series Forecasting,International Joint Conference on Artificial Intelligence, IJCAI2024.  

[20]H Wang, F Zhang*. Computing nodes for plane data points by constructing cubic polynomial with constraints.Computer Aided Geometric Design,2024  

[21]F Zhang, G Chen, H Wang, C Zhang. CF-DAN: Facial-expression recognition based on cross-fusion dual-attention network. Computational Visual Media, 2024.

[22]F Zhong, M Xue, J Zhang, F Zhang, R Ban, O Deussen, Y Wang. Force-directed graph layouts revisited: a new force based on the t-distribution. IEEE Transactions on Visualization and Computer Graphics, 2023.

[23]Z Wang, Y Zhang, R Xu, F Zhang,P Wang, S Chen, S Xin, W Wang, C Tu.Neural-singular-hessian: Implicit neural representation of unoriented point clouds by enforcing singular hessian. ACM Transactions on Graphics (TOG), 2023.  

[24]Y Wang, Y Wang, X Chen, Y Zhao, F Zhang, E Wu, CW Fu, X Yu.Om3: An ordered multi-level min-max representation for interactive progressive visualization of time series. the ACM on Management of Data, SIGMOD 2023.  

[25]M Wang, H Wang, F Zhang*.Famc-net: Frequency domain parity correction attention and multi-scale dilated convolution for time series forecasting. the 32nd ACM international conference on information and knowledge management, CIKM 2023.  

[26]H Tao, J Li, Z Hua, F Zhang*. DUDB: deep unfolding-based dual-branch feature fusion network for pan-sharpening remote sensing images, IEEE Transactions on Geoscience and Remote Sensing, 2023.

[27]F Zhang, G Chen, H Wang, J Li, C Zhang.Multi-scale video super-resolution transformer with polynomial approximation. IEEE Transactions on Circuits and Systems for Video Technology, 2023.  

[28]F Zhang, T Guo, H Wang.DFNet: Decomposition fusion model for long sequence time-series forecasting. Knowledge-Based Systems, 2023.  

[29]X Liu, J Guo, H Wang, F Zhang*.Prediction of stock market index based on ISSA-BP neural network. Expert Systems with Applications, 2022.  

[30]张帆, 王桦, 范辉, 张彩明. 基于边缘和距离约束的有理多项式图像放大, 中国科学：信息科学，2021.