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(过大学英语六级)，熟悉python，懂深度学习框架(PyTorch, TensorFlow等)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，市级和校级优秀毕业生等荣誉。

深度学习，人工智能，数字岩心和信息重构。

移动软件开发，Java程序设计，Python程序设计,深度学习

Ø  SCI期刊论文(第一/通讯作者)

[1]      Ting Zhang, Peng Zhu, Fangfang Lu. Stochastic reconstruction of porous media based on attention mechanisms and multi‑stage generative adversarial network. Computational Geosciences. 2023, https://doi.org/10.1007/s10596-023-10208-3 (JCR分区：Q3；中科院小类分区：三区)

[2]      Ting Zhang, Mengling Ni, Qijie Guan. Reconstruction of three-dimensional porous media using multi-scale generative adversarial networks. Journal of Applied Geophysics. 2023, 213 Article ID 105042. (JCR分区：Q3；中科院小类分区：三区)

[3]      Ting Zhang, Xin Ji, Fangfang Lu. 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. (JCR分区：Q1；中科院小类分区：一区；TOP期刊)

[4]      Ting Zhang, Pengfei Xia, Fangfang Lu. 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. (JCR分区：Q1；中科院小类分区：一区；TOP期刊)

[5]      Ting Zhang, Qingyang Liu, Xianwu Wang, et al. A 3D reconstruction method of porous media based on improved WGAN-GP. Computers & Geosciences. 2022, 165, Article ID 105151:1-16. (JCR分区：Q1；中科院小类分区：二区)

[6]      Ting Zhang, Pengfei Xia, Fangfang Lu. 3D stochastic reconstruction of porous media based on attention mechanisms and residual networks. Stochastic Environmental Research and Risk Assessment. 2022, 36:1063–1081. (JCR分区：Q1；中科院小类分区：三区)

[7]      Pengfei Xia, Hualin Bai, Ting Zhang(通讯作者). Multi-scale reconstruction of porous media based on progressively growing generative adversarial networks. Stochastic Environmental Research and Risk Assessment. 2022, 36:3685–3705. (JCR分区：Q1；中科院小类分区：三区)

[8]      Ting Zhang, Hongyan Tu, Pengfei Xia, et al. Reconstruction of porous media using an information variational auto‑encoder. Transport in Porous Media. 2022, 143: 271–295. (JCR分区：Q2；中科院小类分区：三区)

[9]      Ting Zhang, Qingyang Liu, Yi Du. Super-resolution reconstruction of porous media using concurrent generative adversarial networks and residual blocks. Transport in Porous Media. 2022, DOI: 10.1007/s11242-022-01769-5. (JCR分区：Q2；中科院小类分区：三区)

[10]   Ting Zhang, Yi Yang, Anqin Zhang. 3D reconstruction of porous media using a batch normalized variational auto-encoder. Computational Geosciences. 2022, 26:1261–1278. (JCR分区：Q3；中科院小类分区：三区)

[11]   Ting Zhang, Deya Li, Fangfang Lu. A pore space reconstruction method of shale based on autoencoders and generative adversarial networks. Computational Geosciences. 2021, 25: 2149–2165. (JCR分区：Q3；中科院小类分区：三区)

[12]   Ting Zhang, Pengfei Xia, Yi Du. 3D pore space reconstruction using deep residual deconvolution networks. Computational Geosciences. 2021, 25:1605–1620. (JCR分区：Q3；中科院小类分区：三区)

[13]   Ting Zhang, Yi Du, Tao Huang, et al. Reconstruction of porous media using ISOMAP-based MPS. Stochastic Environmental Research and Risk Assessment. 2016, 30:395–412. (JCR分区：Q1；中科院小类分区：三区)

[14]   Ting Zhang, Yi Du, Tao Huang, et al. Reconstruction of porous media using multiple-point statistics with data conditioning. Stochastic Environmental Research and Risk Assessment. 2015, 29(3):727-738. (JCR分区：Q1；中科院小类分区：三区)

[15]   Ting Zhang, Yi Du, Tao Huang, et al. GPU-accelerated 3D reconstruction of porous media using multiple-point statistics. Computational Geosciences. 2015, 19:79–98. (JCR分区：Q3；中科院小类分区：三区)

[16]   Ting Zhang, Daolun Li, Detang Lu, et al. Research on the reconstruction method of porous media using multiple-point geostatistics. Science China-Physics Mechanics & Astronomy. 2010, 53(1): 122-134. (JCR分区：Q1；中科院小类分区：一区；TOP期刊)

[17]   Detang Lu, Ting Zhang(通讯作者), JiaQing Yang, Daolun Li, Xiangyan Kong. A reconstruction method of porous media integrating soft data with hard data. Science Bulletin. 2009, 54: 1876-1885. (JCR分区：Q2；中科院小类分区：一区；TOP期刊)

[18]   Ting Zhang, Zhonghao Yang, Deya Li. Stochastic simulation of deltas based on a concurrent multi-stage VAE-GAN model. Journal of Hydrology, 2022, 607, Article ID 127493: 1-17. (JCR分区：Q1；中科院小类分区：一区；TOP期刊)

[19]   Ting Zhang, Zhonghao Yang, Chaochao Sun. 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. (JCR分区：Q1；中科院小类分区：一区；TOP期刊)

[20]   Ting Zhang, Xin Ji, Anqin Zhang. Reconstruction of fluvial reservoirs using multiple-stage concurrent generative adversarial networks. Computational Geosciences. 2021, 25:1983-2004. (JCR分区：Q3；中科院小类分区：三区)

[21]   Ting Zhang, Yi Du, Tao Huang, 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. (JCR分区：Q3；中科院小类分区：三区)

[22]   Ting Zhang, Yi Du, Fangfang Lu. Super-resolution reconstruction of remote sensing images using multiple-point statistics and isometric mapping. Remote Sensing. 2017, 9:1-22. (JCR分区：Q1；中科院小类分区：二区；TOP期刊)

[23]   Ting Zhang, Yi Du, Bo Li, et al. Stochastic reconstruction of spatial data using LLE and MPS. Stochastic Environmental Research and Risk Assessment. 2017, 31:243–256. (JCR分区：Q1；中科院小类分区：三区)

[24]   Ting Zhang, Yi Du, Tao Huang, et al. Stochastic simulation of patterns using ISOMAP for dimensionality reduction of training images. Computers & Geosciences. 2015, 79:82–93. (JCR分区：Q1；中科院小类分区：二区)

[25]   Ting Zhang, Yi Du, Tao Huang, et al. Reconstruction of spatial data using isometric mapping and multiple-point statistics. Computational Geosciences. 2015, 19:1047–1062. (JCR分区：Q3；中科院小类分区：三区)

Ø  已授权发明专利(唯一发明人)

[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. (2022年授权)

[2]   张挺. 一种基于历史气象数据和随机模拟的风电功率预测方法. 发明专利. 授权专利号2018102967737. (2022年授权)

[3]   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. (2022年授权)

[4]   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. (2021年授权)

[5]   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 (2021年授权)

[6]   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 (2021年授权)

[7]   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 (2020年授权)

[8]   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 (2020年授权)

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：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。