王治国 Zhiguo Wang

西安交通大学“青年拔尖人才支持计划”A类（教授）、数学与统计学院应用数学系教授、博士研究生导师

研究机构：西安交大-东方物探数学与油气智能探测技术研究中心、海洋石油勘探国家工程实验室、高静怀科学家工作室、“非欧框架下油气智能探测”陕西国家应用数学中心交叉团队

研究方向：地学大数据分析；基于图论的深度学习；非平稳信号的时频表示；非常规油气、深部金属矿产资源和天然气水合物探测；非欧框架下油气智能探测；基于深度学习的地震学；基于物理和数据双驱动的全球气候变化；AI4SCIENCE下的地球系统科学等

研究区域：全球尺度、鄂尔多斯盆地、渤海湾盆地、松辽盆地、塔里木盆地、四川盆地、湘中锑金矿集区和湘南钨锡多金属矿集区等

博士和硕士研究生招生方向：数学、统计学、应用统计（大数据）、信号与信息处理、软件工程、大数据分析、地球探测与信息技术、地球物理学等。每年计划招收强基本科生1名，硕士研究生3名（其中保送生2名）、博士研究生3名（含直博）。现在读强基本科/硕士/博士研究生共17名。     

主讲本科生课程：《地学大数据分析》、《数学建模能力提升》、《数字信号处理》、《高等数学》

主讲研究生课程：《面向对象编程C++》

社会服务：

国家自然科学基金委项目评审专家

教育部科技管理信息系统专家库专家

科技部专家库系统专家

全国研究生教育评估监测专家库专家

中国地震学会地震数值预测专委会委员 (2023/11-)

SEG Emerging Professionals International Committee (EPIC) 委员 （2016/9/12-）

SEG Membership Committee委员（2016/12/7-）

SEG Evaluations Subcommittee (formerly the Travel Grant Committee)委员（2024/1/18-）

SEG Travel Grant Committee委员（2017/3/9-2024/1/18）

SEG EVOLVE Technical Committee委员（2017/7/12-）

Artificial Intelligence in Geosciences编委（2022/8/29-）

SCI期刊审稿人（Geophysics、Geophysical Prospecting、IEEE Transactions on Geoscience and Remote Sensing、IEEE Geoscience and Remote Sensing Letters、Journal of Applied Geophysics、Exploration Geophysics、Interpretation、Journal of Petroleum Science and Engineering、Journal of Geophysics and Engineering、Computers & Geosciences、IEEE Access、Earthquake Engineering and Engineering Vibration、Petroleum Science、Journal of Asian Earth Sciences、Acta Geophysica、Open Geoscience、Petroleum Science and Technology、IEEE Transactions on Neural Networks and Learning Systems、IEEE Transactions on Industrial Informatics、ACM Transactions on Intelligent Systems and Technology、Digital Signal Processing、地球物理学报、石油勘探与开发等）

邮箱： emailwzg at mail.xjtu.edu.cn

地址：陕西省西安市碑林区咸宁西路28号

 Google Scholar

78 Feng, Dingrong, Zhiguo Wang, and Jinghuai Gao. ZSN2N-DAS: Zero-Shot Noise2Noise Denoising for Distributed Acoustic Sensing Data. IEEE Transactions on Geoscience and Remote Sensing, 2025, 63, doi: 10.1109/TGRS.2025.3590990

77 骆昊，阳生国，王治国，柯炜，邓文，刘乃豪，高静怀. 基于多尺度编码-解码特征融合网络的叠前地震数据工业噪声压制，地球物理学报，2025，录用待刊

76 夏珺，魏巍，贺家辉，王治国. 微调属性和示例加权的朴素贝叶斯分类器在地层识别中的应用. 工程数学学报, 2025，录用待刊

75 Zhu, Chaobo, Zhiguo Wang, Feipeng Li, Huai Zhang and Jinghuai Gao. Cyclic Learning Rate U-Shaped ResNet Embedded with Dual Attentions for Velocity Model Building. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2025, 18, 1054-1069, doi: 10.1109/JSTARS.2024.3501736

74 Liu, Naihao, Wen Deng, Fangyu Li, Zhiguo Wang, Hao Wu, and Jinghuai Gao. Recent advances on deep residual learning based seismic data reconstruction: an overview. Journal of Geophysics and Engineering, 2025, 22(3): 854-876, doi: 10.1093/jge/gxaf011.

73 Li, Feipeng, Jinghuai Gao, Zhiguo Wang, Chuang Li, Zhaoqi Gao, and Zongben Xu. True Amplitude Seismic Imaging with Wave Equation based Illumination Compensation in the Dip and Reflection Angle Domain. IEEE Transactions on Geoscience and Remote Sensing, 2025, 63, Art no. 5907215, doi: 10.1109/TGRS.2025.3542175.

72 Li, Feipeng, Jinghuai Gao, Wenbo Sun, Zhiguo Wang, Chuang Li, Zhaoqi Gao, and Zongben Xu. LSTM Network Assisted Construction of the Angle-Dependent Point Spread Function and its Applications in Seismic Imaging. IEEE Transactions on Geoscience and Remote Sensing, 2025, 63, Art no. 5906822, doi: 10.1109/TGRS.2025.3535529

71 Wei, Qiansheng, Zishuai Li, Haonan Feng, Yueying Jiang, Yang Yang, Zhiguo Wang. Convolutional sparse coding network for sparse seismic time-frequency representation. Artificial Intelligence in Geosciences, 2025, 6, 100104, doi: 10.1016/j.aiig.2024.100104

70 Wang, Zhiguo, Ziwei Chen, Zihao Shi, Jinghuai Gao. Predicting Global Average Temperature Time Series Using an Entire Graph Node Training Approach. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62, Art no. 4111114, doi: 10.1109/TGRS.2024.3480888

69 Wang, Xinlei, Zhiguo Wang, Xiaolan Lei, Chaobo Zhu and Jinghuai Gao. Seis-PDDN: Seismic Undersampling Design and Reconstruction Using Prior Distribution and Diffusion Null-Space Iteration. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62, Art no. 5932313, doi: 10.1109/TGRS.2024.3485579

68 Wang, Xinlei, Zhiguo Wang, Zhe Xiong, Yang Yang, Chaobo Zhu and Jinghuai Gao. Reconstructing Regularly Missing Seismic Traces with a Classifier-Guided Diffusion Model. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62, Art no. 5906914, doi: 10.1109/TGRS.2024.3367354

67 Wang, Zhiguo, Ziwei Chen, and Huai Zhang. EQGraphNet: Advancing single-station earthquake magnitude estimation via deep graph networks with residual connections. Artificial Intelligence in Geosciences, 2024, 5, 100089, doi: 10.1016/j.aiig.2024.100089

66 Zhang, Mingke, Jinghuai Gao, Zhiguo Wang, Yang Yang, and Naihao Liu. The Kernel-based Regression for Seismic Attenuation Estimation on Wasserstein Space. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62, Art no. 5922712, doi: 10.1109/TGRS.2024.3437673

65 Li, Chunlong, Huai Zhang, Wei Zhang, Jinghuai Gao, and Zhiguo Wang. Deep Learning-Based Data-Driven P-/S-Wave Vector Decomposition for Multicomponent Seismic Data, IEEE Transactions on Geoscience and Remote Sensing, 2024, 62, Art no. 4506619, doi: 10.1109/TGRS.2024.3400875

64 Liu, Naihao, Yuxin Zhang, Yang Yang, Zhiguo Wang, Rongchang Liu, and Jinghuai Gao. Domain Adaptation-based Sparse Time-frequency Analysis and Its Application on Seismic Attenuation Estimation. Geophysics, 2024, 89 (3), B187–B198, doi: 10.1190/geo2023-0309

63 Wang, Qiannan, Zhiguo Wang, Dengliang Gao, Zhaoqi Gao, Junxiong Jia, Jianbing Zhu, and Jinghuai Gao. Seismic attribute analysis with a combination of convolutional autoencoder and random forest in a turbidite reservoir. Geophysics, 2024, 89(1), WA207-WA217, doi: 10.1190/geo2023-0127.1

62 Gao, Zhaoqi, Kezheng Wang, Zhiuo Wang, and Jinghuai Gao. Optimizing Seismic Facies Classification Through Differentiable Network Architecture Search. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62, Art no. 4502312, doi: 10.1109/TGRS.2024.33579291

61 Liu, Naihao, Zezhou Zhang, Haoran Zhang, Zhiguo Wang, Jinghuai Gao, Rongchang Liu, and Nan Zhang. Multiple-frequency attribute blending via adaptive uniform manifold approximation and projection and its application on hydrocarbon reservoir delineation. Geophysics, 2024, 89(1), WA195-WA206, doi: 10.1190/geo2023-0111.1

60 Liu, Naihao, Youbo Lei, Yang Yang, Zhiguo Wang, Rongchang Liu, Jinghuai Gao, and Tao Wei. Sparse Time-Frequency Analysis of Seismic Data via Convolutional Neural Network. Interpretation, 2024, 12(1), T47-T62, doi: 10.1190/int-2023-0020.1

59 Luo, Peiyao, Zhiguo Wang, Huai Zhang, Jinghuai Gao. On the Probability Distribution of Primary Reflection Coefficients from Logging Data Recorded by Scientific Ocean Drilling. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62, Art no. 5901213, doi: 10.1109/TGRS.2023.3341872

58 杨阳，王治国，魏千盛，王竟仪，刘乃豪，张兵，高静怀，K1峭度约束的地震频域反褶积方法研究，地球物理学报，2024，67(8): 3109-3119，doi：10.6038/cjg2024R0614

57 刘乃豪，魏圣焘，张泽洲，杨阳，王治国，刘镕菖，路漫，高静怀，频率矫正广义S变换及在储层含油气性预测中的应用，地球物理学报，2024，67(7): 2820-2829，doi: 10.6038/cjg2024R0579

56 杨阳，雷友波，王倩楠，王治国，杨涛，高静怀，苏朝光，基于二维散射变换的湖相碳酸盐岩储层厚度预测方法研究，地球物理学报，2024，67(4): 1601-1612，doi: 10.6038/cjg2023Q0974

55 王倩楠，王治国，杨阳，朱剑兵，高静怀，基于多特征融合自编码器的无监督地震相分类研究，地球物理学报，2024，67(1): 370-378，doi: 10.6038/cjg2023Q0871

54 Wang, Zhiguo, Qiannan Wang, Yijie Zhang, Yumin Chen, and Xiaoyun Zhang. Enhanced Seismic Data Segmentation using an Assembled scSE-Res-UNet Deep Neural Network. Geoenergy Science and Engineering, 2023, 231, 212347, doi: 10.1016/j.geoen.2023.212347

53 Zhang, Mingke, Jinghuai Gao, Zhiguo Wang, Yang Yang, Naihao Liu. Enhancing Seismic Resolution via Hyperbolic Spaces S Transform. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61, Art no. 5919411, doi: 10.1109/TGRS.2023.3318253

52 Wang, Zhiguo, Qiannan Wang, Yang Yang, Naihao Liu, Yumin Chen, and Jinghuai Gao, Seismic Facies Segmentation via A Segformer-based Specific Encoder-Decoder-Hypercolumns Scheme. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61, Art no. 5903411, doi: 10.1109/TGRS.2023.3244037

51 Pan, Lele, Gao Jinghuai, Yang Yang, Wang Zhiguo, and Gao Zhaoqi, Automatic Seismic Lithology Interpretation via Multiattribute Integrated Deep Learning, IEEE Geoscience and Remote Sensing Letters, 2023, 20, Art no. 7503205, doi: 10.1109/LGRS.2023.3283554

50 Zhang, Haoran, Naihao Liu, Zhiguo Wang, Yijie Zhang, Jinghuai Gao, and Jianhua Wang, Sand Bodies Delineation by Fusing Multi-frequency Attributes via t-SNE, IEEE Geoscience and Remote Sensing Letters, 2023, 20, Art no. 7501205, doi: 10.1109/LGRS.2023.3243005

49 Wang, Zhiguo, Bing Zhang, Zhaoqi Gao, and Jinghuai Gao, Seismic swarm intelligence inversion with sparse probability distribution of reflectivity. Artificial Intelligence in Geosciences, 2023, 4, 1-8, doi: 10.1016/j.aiig.2023.02.001

48 张苗苗，吴帮玉，马德波，王治国，深度神经网络三维地震资料断层解释损失函数对比，石油地球物理勘探，2023，58（6）：1299-1312

47 朱剑兵，杨阳，王治国，基于广义Beta小波标架的稀疏时频变换及其含油气衰减表征应用，地球物理学进展，2023，38（3）：1282-1292， doi: 10.6038/pg2023GG0080

46 王竟仪，王治国，陈宇民，高静怀，深度人工神经网络在地震反演中的应用进展，地球物理学进展，2023，38（1）：298-320，doi: 10.6038/pg2022FF0467

45 张岐,  杨阳,  魏千盛,  王治国,  高静怀，基于广义Beta小波稀疏域混合约束优化的地震去噪方法研究，地球物理学报，2023，66（8）：3391-3402，doi: 10.6038/cjg2022Q0283

44 Liu, Naihao, Yuxin Zhang, Youbo Lei, Yang Yang, Zhiguo Wang, Jinghuai Gao, and Xiudi Jiang, Seismic Sparse Time-frequency Network with Transfer Learning. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60, Art no. 4513913, doi: 10.1109/TGRS.2022.3226299

43 Lou, Yihuai, Lukun Wu, Lin Liu, Kai Yu, Naihao Liu, Zhiguo Wang, and Wei Wang, Irregularly sampled seismic data interpolation via wavelet-based convolutional block attention deep learning. Artificial Intelligence in Geosciences, 2022, 3 192-202, 10.1016/j.aiig.2022.12.001

42 Chen, Ziwei, Zhiguo Wang, Yang Yang, and Jinghuai Gao, ResGraphNet: GraphSAGE with Embedded Residual Module for Prediction of Global Monthly Mean Temperature. Artificial Intelligence in Geosciences, 2022, 3, 148-156, doi: 10.1016/j.aiig.2022.11.001

41 Chen, Ziwei, Zhiguo Wang, Shaojiang Wu, Yibo Wang, and Jinghuai Gao, MagInfoNet: Magnitude Estimation Using Seismic Information Augmentation and Graph Transformer. Earth and Space Science, 2022, 9, e2022EA002580, doi:10.1029/2022EA002580

40 Zhang, Mingke, Jinghuai Gao, Zhiguo Wang, Yang Yang, Naihao Liu, and Qiansheng Wei, Q Estimation via the Discriminant Method based on Error Modeling, IEEE Transactions on Geoscience and Remote Sensing, 2022, 60, Art no. 5922811, doi: 10.1109/TGRS.2022.3218896

39 Yang, Yang, Youbo Lei, Naihao Liu, Zhiguo Wang, Jinghuai Gao and Jicai Ding, SparseTFNet: A Physically Informed Autoencoder for Sparse Time-Frequency Analysis of Seismic Data, IEEE Transactions on Geoscience and Remote Sensing, 2022, 60, Art no. 4512812, doi: 10.1109/TGRS.2022.3213851

38 Yang, Yang, Jinghuai Gao, Zhiguo Wang, and Naihao Liu, Data-Driven Time-Frequency Method and its Application in Detection of Free Gas Beneath a Gas Hydrate Deposit, IEEE Transactions on Geoscience and Remote Sensing, 2022, 60, Art no. 5909713, doi: 10.1109/TGRS.2021.3138540

37 Li, Zhen, Fengyuan Sun, Jinghuai Gao, Naihao Liu, and Zhiguo Wang, Multi-Synchrosqueezing Wavelet Transform for Time-Frequency Localization of Reservoir Characterization in Seismic Data, IEEE Geoscience and Remote Sensing Letters, 2022, 19, 7505305, doi: 10.1109/LGRS.2021.3121015

36 Meng, Delin, Bangyu Wu, Zhiguo Wang, and Zhaolin Zhu, Seismic Impedance Inversion Using Conditional Generative Adversarial Network, IEEE Geoscience and Remote Sensing Letters, 2022, 19, 7503905, doi: 10.1109/LGRS.2021.3090108

35 刘乃豪，李时桢，黄腾，高静怀，丁继才，王治国．改进的整体嵌套边缘检测地震断层识别技术．石油地球物理勘探，2022，57（3），499-509

34 Yang, Yang, Zhiguo Wang, Jinghuai Gao, Naihao Liu, and Zhen Li, Sparse inversion-based seismic random noise attenuation via self-paced learning, Artificial Intelligence in Geosciences, 2021, 2, 223-233, doi: 10.1016/j.aiig.2022.03.003

33 Zhang, Qi, Ziwei Chen, Yuan Zeng, Hang Gao, Qiansheng Wei, Tiaoyu Luo, and Zhiguo Wang, Data-driven approaches for time series prediction of daily production in the Sulige tight gas field, China, Artificial Intelligence in Geosciences, 2021, 2, 165-170, doi: 10.1016/j.aiig.2022.02.005

32 王柯淇，王治国，高静怀，王彦飞，金属矿产资源探测的地震方法:综述与展望，地球物理学进展，2021，36（4），1607-1629

31 Yang, Yang, Jinghuai Gao, Zhiguo Wang and Zhen Li, Seismic Absorption Qualitative Indicator via Sparse Group-Lasso-Based Time-Frequency Representation, IEEE Geoscience and Remote Sensing Letters, 2021, 18(9), 1680-1684

30 Wang, Zhiguo, Dengliang Gao, Xiaolan Lei, Daxing Wang, and Jinghuai Gao, Machine learning-based seismic spectral attribute analysis to delineate a tight-sand reservoir in the Sulige gas field of central Ordos Basin, western China, Marine and Petroleum Geology, 2020, 113, 104136

29 Li, Zhen, Jinghuai Gao, Zhiguo Wang, Naihao Liu, and Yang Yang, Time-synchroextracting general chirplet transform for seismic time-frequency analysis, IEEE Transactions on Geoscience and Remote Sensing, 2020, 58(12), 8626-8636

28 Li, Zhen, Jinghuai Gao, and Zhiguo Wang, A time-synchroextracting transform for the time-Frequency analysis of seismic data, IEEE Geoscience and Remote Sensing Letters, 2020, 17(5), 864-868

27 Li, Zhen, Jinghuai Gao, Zhiguo Wang, and Naihao Liu, Time-frequency analysis of seismic data for the characterization of geologic structures via synchroextracting transform. Journal of Seismic Exploration, 2020, 29(3), 225-245

26 Yang, Yang, Jinghuai Gao, Zhiguo Wang, Guowei Zhang, and Xiangxiang Zhu, 2-D seismic random noise attenuation via self-paced nonnegative dictionary learning, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019, 12(12), 5391-5401

25 Gao, Dengliang, Taizhong Duan, Zhiguo Wang, and XiaoFei Shang, Caledonian detachment deformation and deposition in the Fuling gas field, southeastern Sichuan Basin in China: Implications for the Lower Silurian Longmaxi Shale gas exploration and production, Interpretation, 2018, 6(4), SN119-SN132

24 Wang, Zhiguo, Bing Zhang, Jinghuai Gao, and Qing Huo Liu, A frequency-domain seismic blind deconvolution based on Gini Correlations, Journal of Geophysics and Engineering, 2018,15(1), 286–294

23 Wang, Zhiguo, Bing Zhang, Jinghuai Gao, Qingzhen Wang, and Qing Huo Liu, The wavelet transform with generalized Beta wavelets for seismic time-frequency analysis, Geophysics, 2017, 82(4), O47-O56

22 Wang, Zhiguo, Jinghuai Gao, Ping Wang, and Xiudi Jiang, The analytic wavelet transform with generalized Morse wavelets to detect fluvial channels in the Bohai Bay Basin, China, Geophysics, 2016, 81(4), O1-O9

21 Wang, Zhiguo, Jinghuai Gao, Xiaolan Lei, Xiaojie Cui, and Daxing Wang, Application of 3D seismic attributes to optimize the placement of horizontal wells within a tight gas sand reservoir, Ordos Basin, China, Geophysics, 2016, 81(3), B77-B86

20 Zhou, Qingbao, Jinghuai Gao, Zhiguo Wang, and Kexue Li, Adaptive variable time fractional anisotropic diffusion filtering for seismic data noise attenuation, IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(4), 1905-1917

19 Zhou, Qingbao, Jinghuai Gao, and Zhiguo Wang, A sparse spike deconvolution using trust-region based SQP algorithm, Journal of Computational Acoustics, 2015, 23(4),1540002  

18 Wang, Zhiguo, Cheng Yin, Jinghuai Gao, Joint rough sets and Karhunen-Loève transform approach to seismic attribute selection for porosity prediction: a sandstone reservoir case study, Interpretation, 2015, 3(4), SAE19-SAE28  

17 Wang, Zhiguo, Jinghuai Gao, Daxing Wang, and Qiansheng Wei, 3-D seismic attributes for a tight gas sand reservoir characterization of the eastern Sulige gas field, Ordos Basin, China, Geophysics, 2015, 80(2), B35-B43  

16  王治国，尹成，唐何兵，雷小兰，沉积模式约束下地震多属性划分水下扇岩相，石油地球物理勘探，2015, 50（2），357-367

15 Wang, Ping, Jinghuai Gao, and Zhiguo Wang, Time-frequency analysis of seismic data using synchrosqueezing transform, IEEE Geoscience and Remote Sensing Letters, 2014, 11(12), 2042 - 2044

14 Wang, Zhiguo, Bing Zhang, and Jinghuai Gao, The residual phase estimation of seismic wavelet using a Rényi divergence-based criterion, Journal of Applied Geophysics, 2014, 106, 96-105

13 Wang, Zhiguo, Jinghuai Gao, Qingbao Zhou, Kexue Li, and Jigen Peng, A new extension of seismic instantaneous frequency using a fractional time derivative. Journal of Applied Geophysics, 2013, 98, 176-181

12 王治国，尹成，地震地貌学的发展及应用前景，石油地球物理勘探，2014, 49（2），410-420

11 王治国，尹成，吴明生，张良庆，雷小兰，莱州湾凹陷河流沉积地貌形态对储层物性影响，石油地球物理勘探，2013, 48（4），604-611

10 王治国，尹成，蒋志斌，雷小兰，渤海莱州湾凹陷明化镇组下段河道储层的地震地貌分析，石油地球物理勘探，2012, 47（4），629-636

9   Wang, Zhiguo, Cheng Yin, Ting’en Fan, and Xiaolan Lei, Seismic geomorphology of a channel reservoir in Lower Minghuazhen Formation, Laizhouwan subbasin, China, Geophysics, 2012, 77(4), B187-B195

8  尹成，王治国，明确地质含义的地震准属性的回顾与探讨，地球物理学进展，2012, 27（5），2023-2032

7  王治国，尹成，雷小兰，古发明，吴晓华，河道纹理属性分析中的灰度共生矩阵参数研究，石油地球物理勘探，2012, 47（1），100-106，2012 

6 Yin, Cheng, Zhiguo Wang, Comparison of multi-attribute optimization workflows for estimation of sandstone porosity, Oil Geophysical Prospecting, 2011, 46(S2), 98-104

5 王治国，尹成，雷小兰，李长纯，范廷恩，预测砂岩孔隙度的地震多属性优化模式对比，石油地球物理勘探，2011, 46（3），442-448

4  尹成，王治国，雷小兰，李长纯，范廷恩，地震相约束的多属性储层预测方法研究，西南石油大学学报(自然科学版)，2010, 32（5），173-180

3 王治国，年永吉，尹成，丁峰，耿春，谱分解技术在SZ36-1油田时移流体监测中的应用分析，勘探地球物理进展，2010, 33（4），289-293

2 丁峰，年永吉,王治国，尹成，古发明，地震多属性RGBA颜色融合技术的应用研究，石油物探，2010, 49（3），248-252

1  王治国，尹成，丁峰，徐峰，地震多属性分析系统的面向对象设计及敏捷开发过程研究．计算机应用，2008, 28（S2），148-151

27 Jinlong Huo, Naihao Liu, Zhiguo Wang, Yang Yang, Yijie Zhang, and Jinghuai Gao. Seismic Facies Segmentation Via Mask-Assisted Transformer, Fourth International Meeting for Applied Geoscience & Energy. Society of Exploration Geophysicists and American Association of Petroleum Geologists, Houston, 2024.08.27, Expanded Abstracts

26 王治国，骆昊．基于多尺度编解码特征融合网络的地震数据工业噪声压制，2024年中国地球科学联合学术年会，厦门，2024，10.19-23

25 王治国，张锦胜．基于时间-空间-特征多层注意力Transformer的气温预测研究，2024年中国地球科学联合学术年会，厦门，2024，10.19-23

24 王治国，黄子格．井震数据融合的油气富集区智能定量评价方法，2024年中国地球科学联合学术年会，厦门，2024，10.19-23

23 王欣蕾，王治国，高静怀．基于数据分布先验和零空间扩散重采样模型的地震观测和重建，2024年中国地球科学联合学术年会，厦门，2024，10.19-23

22 师梓豪，王治国．图深度网络驱动的气温时间序列预测，第二届数据驱动与地学发展全国学术研讨会，北京，2024，9.6-9

21 冯鼎容，王治国．基于不同深度网络的四川长宁地震数据到时拾取和震级估计，第二届数据驱动与地学发展全国学术研讨会，北京，2024，9.6-9

20 Zezhou Zhang, Naihao Liu, Yang Yang, Zhiguo Wang, Rongchang Liu, and Jinghuai Gao. Adaptive UMAP based multiple-frequency attribute blending and its application on hydrocarbon reservoir characterization, Third International Meeting for Applied Geoscience & Energy. Society of Exploration Geophysicists and American Association of Petroleum Geologists, Houston, 2023.08.31, Expanded Abstracts

19 王治国，田力，王倩楠．基于区块链与联邦学习的地震模型共享，2023年中国地球科学联合学术年会，珠海，2023，10.14-17

18 王治国，陈子为．基于图神经网络的单台站震级估计，2023年中国地球科学联合学术年会，珠海，2023，10.14-17

17 王欣蕾，王治国，杨阳，高静怀．使用分类器引导有条件地震去噪扩散概率模型重建连续边缘缺失地震道，2023年中国地球科学联合学术年会，珠海，2023，10.14-17

16 Xiaodong Chang, Jiang Xue, Jin Zhao, Zhiguo Wang, and Jinxin Tan. Dynamic Graph Convolutional Transformer for Short-term Wind Speed Forecasting. ICCAI '23: Proceedings of the 2023 9th International Conference on Computing and Artificial Intelligence, March 2023, 644–649

15 Pan, Lele, Yang Yang, Qiuyi Long, Zhiguo Wang, Naihao Liu, Jinghuai Gao and Meiqian Guo. Multi-attribute Deep Learning Using Wavelet Scattering Transform for Seismic Lithology Interpretation. 84th EAGE Annual Conference & Exhibition, Vienna, 2023, June 5-8

14 Zhang, Yuxin, Naihao Liu, Yang Yang, Zhiguo Wang, Jinghuai Gao, and Xiudi Jiang. Sparse time-frequency representation based on Unet with domain adaptation, Second International Meeting for Applied Geoscience & Energy, pp. 1302-1306. Society of Exploration Geophysicists and American Association of Petroleum Geologists, Houston, 2022.08.30, Expanded Abstracts

13 Yuxin Zhang, Naihao Liu, Yang Yang, Zhiguo Wang, Jinghuai Gao, and Xiudi Jiang, Sparse Time-frequency Transform via Deep Learning and Transfer Learning: Part II-Transfer Learning and Field Data Application, 83rd EAGE Conference and Exhibition, Madrid, 2022.6.6-2022.6.9

12 Haoran Zhang, Yijie Zhang, Yang Yang, Naihao Liu, Zhiguo Wang, and Jinghuai Gao, Seismic random noise attenuation using MVMD and MSSA, First International Meeting for Applied Geoscience & Energy, Denver, 2021.9.27, Expanded Abstracts

11 Wang, Zhiguo, Bing Zhang, Jinghuai Gao, How to transform the seismic time series to a graph?, 89th SEG Annual International Meeting, San Antonio, 2019.9.18, Expanded Abstracts

10 Wang, Zhiguo, Jinghuai Gao, Daxing Wang, Seismic time-frequency spectrum to indicate sandstone scale in tight oil reservoirs, 88th SEG Annual International Meeting, Anaheim, 2018.10.18, Expanded Abstracts

9 Yang Yang, Jinghuai Gao, Zhiguo Wang, Random noise attenuation using Non-convex sparse regularization and generalized Beta wavelets, 80th EAGE Conference and Exhibition, Copenhagen, 2018.6.11-2018.6.14

8 Wang, Zhiguo, Bing Zhang, Jinghuai Gao, Qingzhen Wang, The generalized Beta wavelets for fluvial channels delineation of seismic data, 87th SEG Annual International Meeting, Houston, 2017.9.26, Expanded Abstracts

7 Wang, Zhiguo, Bing Zhang, Jinghuai Gao, Xiaojie Cui, Daxing Wang, The time-frequency analysis for delineating the thickness distribution of tight sandstones, 86th SEG Annual International Meeting, Dallas, 2016.10.20, Expanded Abstracts

6 Cui, Xiaofei, Jinghuai Gao, Bing Zhang, Zhiguo Wang, Poststack impedance inversion using improved particle swarm optimization, 86th SEG Annual International Meeting, Dallas, 2016.10.17, Expanded Abstracts

5 Wang, Zhiguo, Jinghuai Gao, Daxing Wang, Seismic attribute analyses to optimize the placement of tight gas horizontal wells, 85th SEG Annual International Meeting, New Orleans, 2015.10.20, Expanded Abstracts

4 Wang, Zhiguo, Jinghuai Gao, Bing Zhang, Daxing Wang, Seismic attribute-based characterization of a tight gas sand reservoir in the Ordos Basin, China, 84th SEG Annual International Meeting, Denver, 2014.10.28, Expanded Abstracts

3 Yin, Cheng, Zhiguo Wang, Quantitative seismic geomorphology of channel reservoir of the Laizhouwan Sag, SPG/SEG International Geophysical Conference Technical Program, 1581-1586, Shenzhen, 2011.11.8, Expanded Abstracts

2 Wang, Zhiguo, Cheng Yin, Wei Zhao, GLCM parameters of channel texture analysis, 81st SEG Annual International Meeting, 1989-1993, San Antonio, 2011.9.20, Expanded Abstracts

1 Wang, Zhiguo, Cheng Yin, Multiattribute RGBA color blending of principal components, CPS/SEG International Geophysical Conference, 1189, Beijing, 2009.04.27, Expanded Abstracts