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张挺

来源: Admin   发布日期: 2016-01-05 11:15:51

张挺教师简介

姓名:张挺性别:
学历:博士研究生职称:教授
电话:Email: tingzh@shiep.edu.cn
办公地址:临港校区计电楼506
个人简介:

张挺,2009年获得中国科学技术大学计算机科学与技术专业博士学位,教授,硕士生导师。希望招收具有较好编程基础和英文水平、懂python的同学作为硕士生。招收的同学主要研究方向包括深度学习,人工智能,数字岩心和信息重构。课题组研究生多人次获得国家研究生奖学金,校优秀毕业生等荣誉。

研究方向:

深度学习,人工智能,数字岩心和信息重构。

主讲课程:

移动软件开发,Java程序设计,Python程序设计

科研成果:

Ø  期刊论文(第一作者)

[1]     Ting Zhang, et al. Stochastic simulation of deltas based on a concurrent multi-stage VAE-GAN model. Journal of Hydrology, 2022, 607: Article ID 127493: 1-17. (中科院小类分区:1区;Top期刊)

[2]     Ting Zhang, et al. 3D reconstruction of porous media by combining scaling transformation and multi-scale discrimination using generative adversarial networks. Journal of Petroleum Science and Engineering, 2022, 209: Article ID 109815: 1-23. (中科院小类分区:1区;Top期刊)

[3]     Ting Zhang, et al. Stochastic simulation of fan deltas using parallel multi-stage generative adversarial networks. Journal of Petroleum Science and Engineering, 2022, 208: Article ID 109442: 1-17. (中科院小类分区:1区;Top期刊)

[4]     Ting Zhang, et al. Reconstruction of Porous Media Using an Information Variational Auto‑Encoder. Transport in Porous Media. 2022, https://doi.org/10.1007/s11242-022-01769-5 (中科院小类分区:3)

[5]     Ting Zhang, et al. 3D reconstruction of digital cores based on a model using generative adversarial networks and variational auto-encoders. Journal of Petroleum Science and Engineering. 2021, 207: Article ID 109151: 1-11. (中科院小类分区:1区;Top期刊)

[6]     Ting Zhang, et al. 3D stochastic reconstruction of porous media based on attention mechanisms and residual networks. Stochastic Environmental Research and Risk Assessment. 2021, https://doi.org/10.1007/s00477-021-02092-z (中科院小类分区:3)

[7]     Ting Zhang, et al. A pore space reconstruction method of shale based on autoencoders and generative adversarial networks. Computational Geosciences. 2021, 25: 2149–2165. (中科院小类分区:3)

[8]     Ting Zhang, et al. Reconstruction of fluvial reservoirs using multiple-stage concurrent generative adversarial networks. Computational Geosciences. 2021, 25:1983-2004. (中科院小类分区:3)

[9]     Ting Zhang, et al. 3D pore space reconstruction using deep residual deconvolution networks. Computational Geosciences. 2021, 25:1605–1620. (中科院小类分区:3)

[10]  Ting Zhang, et al. Super-Resolution Reconstruction of Remote Sensing Images Using Multiple-Point Statistics and Isometric Mapping. Remote Sensing. 2017, 9:1-22. (中科院小类分区:2区;Top期刊)

[11]  Ting Zhang, et al. Stochastic reconstruction of spatial data using LLE and MPS. Stochastic Environmental Research and Risk Assessment. 2017, 31:243–256. (中科院小类分区:3)

[12]  Ting Zhang, et al. Reconstruction of porous media using ISOMAP-based MPS. Stochastic Environmental Research and Risk Assessment. 2016, 30:395–412. (中科院小类分区:3)

[13]  Ting Zhang, et al. Stochastic simulation of geological data using isometric mapping and multiple-point geostatistics with data incorporation. Journal of Applied Geophysics. 2016, 125: 14–25. (中科院小类分区:3)

[14]  Ting Zhang, et al. Reconstruction of porous media using multiple-point statistics with data conditioning. Stochastic Environmental Research and Risk Assessment. 2015, 29(3):727-738. (中科院小类分区:3)

[15]  Ting Zhang, et al. Stochastic simulation of patterns using ISOMAP for dimensionality reduction of training images. Computers & Geosciences. 2015,79:82–93. (中科院小类分区:3)

[16]  Ting Zhang, et al. GPU-accelerated 3D reconstruction of porous media using multiple-point statistics. Computational Geosciences. 2015, 19:79–98. (中科院小类分区:3)

[17]  Ting Zhang, et al. Reconstruction of spatial data using isometric mapping and multiple-point statistics. Computational Geosciences. 2015, 19:1047–1062. (中科院小类分区:3)

通讯作者:

[1]     Pengfei Xia, Hualin Bai, Ting Zhang. Multi-scale reconstruction of porous media based on progressively growing generative adversarial networks. Stochastic Environmental Research and Risk Assessment. 2022, https://doi.org/10.1007/s00477-022-02216-z (中科院小类分区:3)

 

Ø  发明专利(已授权):

[1]   张挺. 一种基于随机模拟的地层压力预测方法. 发明专利. 授权专利号2018102538638.

[2]   张挺. 一种基于并行运算的光伏发电功率预测方法. 发明专利. 授权专利号2018102892321.

[3]   张挺. 一种基于聚类算法的空气质量预测方法. 发明专利. 授权专利号2018102545171.

[4]   张挺. 一种基于MapReduce框架的地质建模方法. 发明专利. 授权专利号2018101859985.

[5]   张挺. 一种基于深度神经网络的空气质量预测方法. 发明专利. 授权专利号201810254528X.

[6]   张挺. 基于变差函数及孔隙度的多孔介质表征单元体确定方法. 发明专利. 授权专利号2017109442167.

[7]   张挺. 基于深度学习和支持向量机的页岩数字岩心三维重构方法. 发明专利. 授权专利号2017107953596.

科研项目:

[1]     国家自然科学基金面上项目:页岩三维数字岩心表征及重构方法研究,2017/1-2020/12,来源是国家自然科学基金委,结题,主持。

[2]     上海市自然科学基金:基于多点统计方法的空间数据随机重建,2016/7-2019/6,来源是上海市科委,结题,主持。

[3]     上海市自然科学基金面上项目:基于不确定性插值的图像散乱信息重构研究,2012/7-2015/6,来源是上海市科委,结题,主持。


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