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，分管科研、研究生、学科建设等工作。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，CCF CAD&CG专委会委员，CSIAM几何设计与计算专委会委员，中国图学学会大数据专委会委员，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、人工智能、几何造型、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] Fan Zhang, Gongguan Chen, Hua Wang, CaimingZhang. CF-DAN: Facial-Expression Recognition Based on Cross-FusionDual-Attention Network. Computational Visual Media, 2024

[2] Wenchang Zhang, Hua Wang, Fan Zhang. Skip-Timeformer: Skip-Time Interaction Transformer forLong-term Time Series Forecasting. In Proceedings of the Thirty-thirdInternational Joint Conference on Artificial Intelligence, IJCAI-2024.

[3] Hua Wang, Fan Zhang. Computing nodes for planedata points by constructing cubic polynomial with constraints, Computer AidedGeometric Design, Volume 111, 2024, 102308

[4] Hailin Tao, Jinjiang Li, Zhen Hua and Fan Zhang,DUDB: Deep Unfolding-Based Dual-Branch Feature Fusion Network forPan-Sharpening Remote Sensing Images, in IEEE Transactions on Geoscienceand Remote Sensing, vol. 62, pp. 1-17, 2024

[5] Xin Wang, Hua Wang, Mingli Zhang, Fan Zhang,Combining optical flow and Swin Transformer for Space-Time videosuper-resolution, Engineering Applications of Artificial Intelligence, Volume137, Part B, 2024, 109227

[6] Lele Yuan, Hua Wang, Fan Zhang, ADMNet: Anadaptive downsampling multi-frequency multi-channel network for long-term timeseries forecasting, Expert Systems with Applications,Volume 262, 2025, 125588

[7] Wenchang Zhang, Hua Wang, Fan Zhang.Spatio-temporal Fourier Enhanced Heterogeneous Graph Learning for TrafficForecasting. Expert Systems with Applications, 2024, Volume 241:122766.

[8] Lin Li, Hua Wang, Yepeng Liu, Fan Zhang. ProbabilisticInterval Prediction Method based on Shape-Adaptive Quantile Regression. ExpertSystems, 2024.

[9] Min Wang, Hua Wang, Fan Zhang. FAMC-Net:Frequency Domain Parity Correction Attention and Multi-Scale Dilated Convolutionfor Time Series Forecasting. Conference on Information and KnowledgeManagement(CIKM), 2023

[10] Zixiong Wang, Yunxiao Zhang, Rui Xu, Fan Zhang,Pengshuai Wang, Shuangmin Chen, Shiqing Xin, Wenping Wang, Changhe Tu.Neural-Singular-Hessian: Implicit Neural Representation of Unoriented PointClouds by Enforcing Singular Hessian. ACM SIGGRAPH Asia 2023.

[11] Fan Zhang, Gongguan Chen, Hua Wang, JinjiangLi, Caiming Zhang. Multi-scale Video Super-resolution Transformer withPolynomial Approximation. IEEE Transactions on Circuits and Systems for VideoTechnology, 2023

[12] Fahai Zhong, Mingliang Xue, Jian Zhang, Fan Zhang,Rui Ban, Oliver Deussen, Yunhai Wang. Force-directed graph layouts revisited: anew force based on the t-Distribution. IEEE Transactions on Visualization andComputer Graphics, 2023

[13] Linling Jiang, Fan Zhang, Mingli Zhang,Caiming Zhang. Time-Series Forecasting through Contrastive Learning with aTwo-Dimensional Self-Attention Mechanism. International Conference on NeuralInformation Processing(ICONIP), 2023

[14] Fan Zhang, Tiantian Guo, Hua Wang, DFNet:Decomposition Fusion Model for Long Sequence Time-Series Forecasting, KnowledgeBased Systems, 2023

[15] Zhixuan Li, Jinjiang Li, Fan Zhang, LinweiFan. CADUI: Cross Attention-based Depth Unfolding Iteration Network forPan-sharpening remote sensing images. IEEE Transactions on Geoscience andRemote Sensing, 2023

[16] Yunhai Wang, Yuchun Wang, Xin Chen, Yue Zhao, FanZhang, Eugene Wu, Chi-Wing Fu, Xiaohui Yu. OM3: An Ordered Multi-levelMin-Max Representation for Interactive Progressive Visualization of Time.Proceedings of the 2023 ACM SIGMOD International Conference on Management ofData, 2023

[17] Gongguan Chen, Hua Wang, Yepeng Liu, Mingli Zhang, FanZhang. Resformer: Combine Quadratic Linear Transformation with EfficientSparse Transformer for Long-term Series Forecasting. Intelligent Data Analysis,2023

[18] Xin Liu, Junhong Guo, Hua Wang, Fan Zhang.Prediction of stock market index based on ISSA-BP neural network. ExpertSystems with Applications, Volume 204, 2022:117604

[19] 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

[20] 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.