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

Researchgate链接:

https://www.researchgate.net/profile/Ting-Zhang-283

Ø  2024

 [1]     Ting Zhang, Tong Shen, Guangshun Hu, Fangfang Lu, Xin Du. Stochastic reconstruction of digital cores using two-discriminator VAE-GAN. Geoenergy Science and Engineering.2024, 236, Article ID 212744 (JCR分区：Q1；TOP期刊)

 [2]     Ting Zhang,Tong Shen, Yue Dong, Yi Du. 3D-FGAN: A 3D stochastic reconstruction method of digital cores.Geoenergy Science and Engineering.2024, 233, Article ID 212590 (JCR分区：Q1；TOP期刊)

 [3]     Ting Zhang, Mengkai Yin, Hualin Bai, Anqin Zhang, Yi Du. Conditional stochastic simulation of fluvial reservoirs using multi-scale concurrent generative adversarial networks.Computational Geosciences. 接收，2024年3月(JCR分区：Q3)

 [4]     Fangfang Lu, Tianxiang Liu, Ting Zhang(通讯作者), Bei Jin, Weiyan Gu. CHDNet: A lightweight weakly supervised segmentation network for lung CT image.Displays. 2024, 82, Article ID 102650. (JCR分区：Q1)

Ø  2023

 [5]     Ting Zhang, Mengling Ni. 3D reconstruction of digital cores based on multi-discriminator GAN and improved residual blocks. Geoenergy Science and Engineering. 2023, 231, Article ID 212385. (JCR分区：Q1；TOP期刊)

 [6]     Ting Zhang, Ningjie Bian, Qingyang Liu, Yi Du. 3D Super-Resolution Reconstruction of Porous Media Based on GANs and CBAMs. Stochastic Environmental Research and Risk Assessment. 2023, DOI: https://doi.org/10.1007/s00477-023-02639-2. (JCR分区：Q1)

 [7]     Ting Zhang, Qingyang Liu, Yi Du. Super-resolution reconstruction of porous media using concurrent generative adversarial networks and residual blocks. Transport in Porous Media. 2023, 149:299–343. (JCR分区：Q3)

 [8]     Ting Zhang, Guangshun Hu, Yi Yang, Yi Du. A super-resolution reconstruction method for shale based on generative adversarial network. Transport in Porous Media. 2023, 150:383–426 (JCR分区：Q3)

 [9]     Ting Zhang, Peng Zhu, Fangfang Lu. Stochastic reconstruction of porous media based on attention mechanisms and multi-stage generative adversarial network. Computational Geosciences. 2023, 27:515–536. (JCR分区：Q3)

[10]     Ting Zhang, Yue Dong, Hualin Bai, Yuan Peng. Stochastic reconstruction of shale combining multi-scale generators and discriminators with attention mechanisms.Computational Geosciences. 2023, 27: 1041–1065. (JCR分区：Q3)

[11]     Ting Zhang, Mengling Ni, Qijie Guan, Deya Li, Shaojing Zhou, Yi Du. 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)

Ø  2022

[12]     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. (JCR分区：Q1；TOP期刊)

[13]     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. (JCR分区：Q1；TOP期刊)

[14]     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. (JCR分区：Q1；TOP期刊)

[15]     Ting Zhang, Qingyang Liu, Xianwu Wang, Xin Ji, Yi Du. A 3D reconstruction method of porous media based on improved WGAN-GP. Computers & Geosciences. 2022, 165, Article ID 105151. (JCR分区：Q1)

[16]     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)

[17]     Ting Zhang, Hongyan Tu, Pengfei Xia, Yi Du. Reconstruction of porous media using an information variational auto‑encoder. Transport in Porous Media. 2022, 143: 271–295. (JCR分区：Q2)

[18]     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)

[19]     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)

Ø  2021

[20]     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. (JCR分区：Q1；TOP期刊)

[21]     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)

[22]     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)

[23]     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)

Ø  2020年之前代表作

[24]     Ting Zhang, Yi Du, Tao Huang, Jiaqing Yang, Fangfang Lu, Xue Li. Reconstruction of porous media using ISOMAP-based MPS. Stochastic Environmental Research and Risk Assessment.2016, 30:395–412. (JCR分区：Q1)

[25]     Ting Zhang, Yi Du, Tao Huang, Xue Li. 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)

[26]     Ting Zhang, Yi Du, Tao Huang, Xue Li. GPU-accelerated 3D reconstruction of porous media using multiple-point statistics. Computational Geosciences. 2015, 19:79–98. (JCR分区：Q3)

[27]     Ting Zhang, Daolun Li, Detang Lu, Jiaqing Yang. 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)

[28]     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：Q1；TOP期刊)

[29]     Ting Zhang, Yi Du, Tao Huang, Xue Li. 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)

[30]     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)

[31]     Ting Zhang, Yi Du, Bo Li, Anqin Zhang. Stochastic reconstruction of spatial data using LLE and MPS.Stochastic Environmental Research and Risk Assessment.2017, 31:243–256. (JCR分区：Q1)

[32]     Ting Zhang, Yi Du, Tao Huang, Jiaqing Yang, Xue Li. Stochastic simulation of patterns using ISOMAP for dimensionality reduction of training images. Computers & Geosciences. 2015, 79:82–93. (JCR分区：Q1)

[33]     Ting Zhang, Yi Du, Tao Huang, Yuan Peng. Reconstruction of spatial data using isometric mapping and multiple-point statistics. Computational Geosciences. 2015, 19:1047–1062. (JCR分区：Q3)

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。