王桦副教授
工学博士，副教授，硕士生导师，中国图学学会图学大数据专委会委员，山东省高等学校青年创新团队带头人，本硕博均毕业于美国肯塔基大学。主要从事计算机图形学，图像处理，人工智能等方面的研究。先后主持国家自然科学基金青年基金、山东省高等学校青创科技支持计划、山东省自然科学基金、重点实验室开放课题等纵向项目。
近3年一直从事计算机图形学，图像处理，人工智能等方面的研究工作。主持在研国家自然科学基金项目“面向水凝胶注射治疗心肌梗死教学与科研的建模和量化计算研究（62007017）”，主要进行图像分割，三维模型建立及定量计算可视化的研究；主持在研山东省高等学校青创科技支持计划“图像数据拟合的理论和关键技术研究（2023KJ212）”，主要进行图像模型在精度、边缘和细节保持方面的提升研究。主持并完成山东省自然科学基金项目“基于MRI图像的心脏几何建模与注射水凝胶治疗心肌梗塞的疗效研究（ZR2018BF009）”，主要进行图像高精度三维建模方面的研究。在Computational Visual Media，IEEE Transactions on Circuits and Systems for Video Technology，Knowledge-Based Systems等国内外高水平期刊和会议发表论文20余篇，授权发明专利2项。
研究方向
主要从事图像处理、大数据、人工智能、三维数据几何建模、计算机图形学、心血管力学、非线性生物力学等方面的研究。
科研项目
[1]主持山东省高等学校青创科技支持计划：图像数据拟合的理论和关键技术研究 2024.1.1-2025.12.31
[2]主持国家自然科学基金项目：面向水凝胶注射治疗心肌梗死教学与科研的建模和量化计算研究 2021.1-2023.12
[3]主持山东省自然科学基金项目：基于MRI图像的心脏几何建模与注射水凝胶治疗心肌梗塞的疗效研究 2018.3-2020.12
[4]主持上海交通大学重点实验室项目：基于医学图像的心脏建模与注射水凝胶治疗心肌梗塞关键技术研究 2017.12-2018.12
主要科研成果
发明专利：
[1]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
[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
论文：
[1] Fan Zhang, Gongguan Chen, Hua Wang, Caiming Zhang. CF-DAN: Facial-Expression Recognition Based on Cross-Fusion Dual-Attention Network. Computational Visual Media, 2024, https://doi.org/10.1007/s41095-023-0369-x
[2] Zhang F, Guo T, Wang H. DFNet: Decomposition fusion model for long sequence time-series forecasting[J]. Knowledge-Based Systems, 2023, 277: 110794.
[3] F. Zhang, G. Chen, H. Wang, J. Li and C. Zhang, "Multi-Scale Video Super-Resolution Transformer With Polynomial Approximation," in IEEE Transactions on Circuits and Systems for Video Technology, vol.33,no.9,pp.4496-4506,Sept.2023,doi: 10.1109/TCSVT.2023.3278131.
[4] Guowei Song, Tianlong Zhao, Suwei Wang, Hua Wang, Xuemei Li, Stock ranking prediction using a graph aggregation network based on stock price and stock relationship information, Information Sciences, Volume 643, 2023, 119236.
[5] Chen G, Wang H, Liu Y, et al. Resformer: Combine quadratic linear transformation with efficient sparse Transformer for long-term series forecasting[J]. Intelligent Data Analysis, 2023, 27(6): 1557-1572.
[6] Guo T, Wang H, Zhang M, et al. Fast and highly coupled model for time series forecasting[J]. Multimedia Tools and Applications, 2023: 1-21.
[7] Zhang W, Wang H, Zhang F. Spatio-temporal fourier enhanced heterogeneous graph learning for traffic forecasting[J]. Expert Systems with Applications, 2023: 122766.
[8] Wang M, Wang H, Zhang F. FAMC-Net: Frequency Domain Parity Correction Attention and Multi-Scale Dilated Convolution for Time Series Forecasting[C]//Proceedings of the 32nd ACM International Conference on Information and Knowledge Management. 2023: 2554-2563.
[9] Chenxun Yuan, Xiang Ma, Hua Wang, Caiming Zhang, Xuemei Li, COVID19-MLSF: A multi-task learning-based stock market forecasting framework during the COVID-19 pandemic, Expert Systems with Applications, Volume 217, 2023, 119549
[10] Zhang Fan, Zhou Hao, Wang Hua, Jiang Xinbo, Zhang Caiming. Rational Polynomial Image Magnification Constrained by Feature[J].Journal of Computer-Aided Design & Computer Graphics, 2022, 34(7): 1047-1057.
[11] Xingtong Chen, Xiang Ma, Hua Wang, Xuemei Li, Caiming Zhang, A hierarchical attention network for stock prediction based on attentive multi-view news learning, Neurocomputing, Volume 504, 2022.
[12] Qi, Y., Zhang, A., Wang, H. et al. An efficient FCM-based method for image refinement segmentation. The visual computer, 38, 2499-2514 (2022). https://doi.org/10.1007/s00371-021-02126-1
[13] Liu X, Guo J, Wang H, et al. Prediction of stock market index based on ISSA-BP neural network[J]. Expert Systems with Applications, 2022, 204: 117604.
[14] Li P, Wang H, Li X, Zhang C. n image denoising algorithm based on adaptive lustering and singular value decomposition. IET Image processing. 2021;1–17.
[15] Zhang, X, Wang, H, Zhang Y, et al. Improved fuzzy clustering for image segmentation based on a low-rank prior[J]. Computational Visual Media, 2021(4).
[16] 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.
[17] Wang, H., Fan, L., Guo, Q. and Zhang, C. A review of image denoising methods, Communications in information and systems, 2020
[18] Hua Wang, Christopher B. Rodell, Xiaoyan Zhang, Neville N. Dusaj, Joseph H. Gorman III, James J. Pilla, Benjamin M. Jackson, Jason A. Burdick, Robert C. Gorman, Jonathan F. Wenk, Effects of hydrogel injection on borderzone contractility post-myocardial infarction, Biomechanics and Modeling in Mechanobiology, 2018
[19] Wang, H., Rodell, C. B., Lee, M. E., Dusaj, N. N., Burdick, J. A., Gorman, R. C., Wenk, J. F. 2017 “Computational Investigation of Hydrogel Injection Characteristics for Myocardial Support. Journal of Biomechanics.
[20] Wang, H., Zhang, X., Dorsey, S.M., McGarvey, J.R., Campbell, K.S., Burdick, J.A., Gorman, J.H., Pilla, J.J., Gorman, R.C. and Wenk, J.F., 2016. Computational Investigation of Transmural Differences in Left Ventricular Contractility. Journal of Biomechanical Engineering, 138(11), p.114501.
基本要求
拟招收对图像处理、大数据、人工智能、机器学习等方面感兴趣的研究生。希望学生具备扎实的数学、英语基础和较强的编程能力。
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