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bwin必赢副院长，分管科研、研究生、学科建设等工作。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业委员会委员，CCF YOCSEF济南AC委员，国家自然科学基金通讯评审专家，山东省高等学校优秀青年创新团队带头人，山东工商学院“凤凰青年才俊”,山东工商学院“科研标兵”。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留学两年。主持国家自然科学基金项目2项、山东省自然科学基金项目1项、山东省高等学校青创科技计划项目1项，在国内外高水平期刊、会议发表论文50余篇。

联系方式：zhangfan51@sina.com

二、研究领域：

计算机图形学、计算机视觉、图像处理、人工智能、金融大数据

三、科研项目：

[1]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

[2]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

[3]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

[4]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

四、发明专利

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

[2]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,2021, ZL202010395497.7

[3]基于五曲面片加权平均拟合的图像放大方法和装置,2021，ZL202010299083.4

[4]云端多路点匹配代驾方法、系统、云端服务器及客户端, 2017，CN201710055774.8

五、近年部分论文

[1]FanZhang, Gongguan Chen, Hua Wang, Caiming Zhang. CF-DAN: Facial-ExpressionRecognition Based on Cross-Fusion Dual-Attention Network. Computational VisualMedia, 2024

[2]H.Tao, J. Li, Z. Hua and F. Zhang, DUDB: Deep Unfolding-Based Dual-BranchFeature Fusion Network for Pan-Sharpening Remote Sensing Images, in IEEETransactions on Geoscience and Remote Sensing, vol. 62, pp. 1-17, 2024

[3]WZhang, H Wang, F Zhang. Spatio-temporal Fourier Enhanced HeterogeneousGraph Learning for Traffic Forecasting. Expert Systems with Applications, 2024,Volume 241:122766.

[4]LLi, H Wang, Y Liu, F Zhang. Probabilistic Interval Prediction Methodbased on Shape-Adaptive Quantile Regression. Expert Systems, 2024.

[5]MinWang, Hua Wang, Fan Zhang. FAMC-Net: Frequency Domain Parity CorrectionAttention and Multi-Scale Dilated Convolution for Time Series Forecasting.Conference on Information and Knowledge Management(CIKM), 2023

[6]ZixiongWang, Yunxiao Zhang, Rui Xu, Fan Zhang, Pengshuai Wang, Shuangmin Chen,Shiqing Xin, Wenping Wang, Changhe Tu. Neural-Singular-Hessian: Implicit NeuralRepresentation of Unoriented Point Clouds by Enforcing Singular Hessian. ACMSIGGRAPH Asia 2023.

[7]FanZhang, Gongguan Chen, Hua Wang, Jinjiang Li, Caiming Zhang. Multi-scaleVideo Super-resolution Transformer with Polynomial Approximation. IEEETransactions on Circuits and Systems for Video Technology, 2023

[8]FahaiZhong, Mingliang Xue, Jian Zhang, Fan Zhang, Rui Ban, Oliver Deussen,Yunhai Wang. Force-directed graph layouts revisited: a new force based on thet-Distribution. IEEE Transactions on Visualization and Computer Graphics, 2023

[9]LinlingJiang, Fan Zhang, Mingli Zhang, Caiming Zhang. Time-Series Forecastingthrough Contrastive Learning with a Two-Dimensional Self-Attention Mechanism.International Conference on Neural Information Processing(ICONIP), 2023

[10]FanZhang, Tiantian Guo, Hua Wang, DFNet: Decomposition Fusion Model for LongSequence Time-Series Forecasting, Knowledge Based Systems, 2023

[11]ZhixuanLi, Jinjiang Li, Fan Zhang, Linwei Fan. CADUI: Cross Attention-basedDepth Unfolding Iteration Network for Pan-sharpening remote sensing images.IEEE Transactions on Geoscience and Remote Sensing, 2023

[12]YunhaiWang, Yuchun Wang, Xin Chen, Yue Zhao, Fan Zhang, Eugene Wu, Chi-WingFu, Xiaohui Yu. OM3: An Ordered Multi-level Min-Max Representation forInteractive Progressive Visualization of Time. Proceedings of the 2023 ACMSIGMOD International Conference on Management of Data, 2023

[13]GongguanChen, Hua Wang, Yepeng Liu, Mingli Zhang, Fan Zhang. Resformer: CombineQuadratic Linear Transformation with Efficient Sparse Transformer for Long-termSeries Forecasting. Intelligent Data Analysis, 2023

[14]陈公冠, 张帆, 王桦, 范辉, 张彩明. 基于区域增强型注意力网络的人脸表情识别. 计算机辅助设计与图形学学报，2023

[15]WenchangZhang, Kaiqiang Zhang, Linling Jiang, Fan Zhang. Multi-Scale Multi-StepDependency Graph Neural Network for Multivariate Time Series Forecasting.International Conference on Neural Information Processing(ICONIP), 2023

[16]XinLiu, Junhong Guo, Hua Wang, Fan Zhang. Prediction of stock market indexbased on ISSA-BP neural network. Expert Systems with Applications, Volume 204,2022:117604

[17]张帆, 周浩, 王桦, 姜新波, 张彩明. 特征约束的有理多项式图像放大, 计算机辅助设计与图形学学报，2022

[18]MingliZhang, Mingyan Zhang, Fan Zhang, Ahmad Chaddad, Alan Evans. Robust BrainMR Image Compressive Sensing via Re-weighted Total Variation and SparseRegression, Magnetic Resonance Imaging, Volume 85, 2022, Pages 271-286

[19]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，2021，51(8)：1270-1286.

[20]YepengLiu, Fan Zhang, Yongxia Zhang, Xuemei Li, Caiming Zhang. Image SmoothingBased on Histogram Equalized Content-aware Patches and Direction-constrainedSparse Gradients, Signal Processing, 2021.183:108037