张挺
发布日期:2016-01-05 浏览次数:9818
姓名:张挺 | 性别:男 | |
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(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。 | ||
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,深度学习 Researchgate链接: https://www.researchgate.net/profile/Ting-Zhang-283 | ||
科研成果: 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。 |