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一作或通讯作者期刊论文（Journal Paper）
[1] Yajun Tian, Jinghuai Gao, Maoshan Chen, Chunfeng Tao, Meng Chuangji. The Fine Characterization Method of Multi-Scale Sedimentary Cycles in Phase Space[J]. IEEE Transactions on Geoscience and Remote Sensing, 2025, 63: 5900713, (SCI: 001383068400002; IF: 9.4; 中科院一区; 西安交大最具学术影响力期刊).
[2] Yajun Tian, Alexey Stovas, Jinghuai Gao, Meng Chuangji, Yang Chun. Frequency-Dependent AVO Inversion and Application on Tight Sandstone Gas Reservoir Prediction Using Deep Neural Network[J]. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61: 5921313, (SCI: 001102413500020; IF: 9.4; 中科院一区; 西安交大最具学术影响力期刊).
[3] Yajun Tian, Alexey Stovas, Jinghuai Gao, Wenhao Xu, Jiaxin Yu. Tight sandstone gas reservoir characterization via AVO attributes [J]. Geophysical Prospecting, 2023, 71: 1030-1046, (SCI: 000994498800001; IF: 1.6; 中科院三区; 西安交大知名学术期刊).
[4] Yajun Tian, Alexey Stovas, Jinghuai Gao. Upscaling method based on sedimentary cycle prior and its application to well-seismic tying[J]. Geophysical Prospecting, 2023, 71(6): 931-947, (SCI: 000981987500001; IF: 1.6; 中科院三区; 西安交大知名学术期刊).
[5] Chuangji Meng, Jinghuai Gao*, Yajun Tian*(共同通讯), Zhen Li. Learning to decouple and generate seismic random noise via invertible neural network[J]. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61: 5917316, (SCI: 001094814200013; IF: 9.4; 中科院一区; 西安交大最具学术影响力期刊).
[6] Yajun Tian, Jinghuai Gao, Daxing Wang, Zhen Li. Super-resolution optimal basic wavelet transform and its application in thin-bed thickness characterization[J]. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 1-12, (SCI: 000849855100003; IF: 9.4; 中科院一区; 西安交大最具学术影响力期刊).
[7] Yajun Tian, Jinghuai Gao, Daxing Wang. Synchrosqueezing optimal basic wavelet transform and its application on sedimentary cycle division[J]. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 1-13, (SCI: 000756892900058; IF: 9.4; 中科院一区; 西安交大最具学术影响力期刊).
[8] Yajun Tian, Jinghuai Gao, Daxing Wang. The multisynchrosqueezing optimal basic wavelet transform and applications to sedimentary cycle division[J]. IEEE Geoscience and Remote Sensing Letters, 2022, 19: 1-5, (SCI: 000732380100001; IF: 4.8; 中科院三区; 西安交大知名学术期刊).
[9] Yajun Tian, Jinghuai Gao. Seismic depositional sequence characterization by using enhanced multichannel variational-mode decomposition[J]. Interpretation, 2022, 10(1): T103-T115, (SCI: 000759412500026; IF: 1.7; 中科院四区).
[10] Yajun Tian, Jinghuai Gao, Daxing Wang. Improving seismic resolution based on enhanced multi-channel variational mode decomposition[J]. Journal of Applied Geophysics, 2022, 199, 104592, (SCI: 000796483200004; IF: 2.6; 中科院三区; 西安交大知名学术期刊).
[11] Yajun Tian, Jinghuai Gao, Naihao Liu, Daoyu Chen. Construction of optimal basic wavelet via AIDNN and its application in seismic data analysis[J]. IEEE Geoscience and Remote Sensing Letters, 2021,18(7): 1144-1148, (封面文章; SCI: 000665034700005; IF: 4.8; 中科院三区; 西安交大知名学术期刊).
[12] 田亚军, 高静怀, 王大兴, 陈道雨. 基于深度神经网络的地震强反射剥离方法[J]. 地球物理学报, 2021, 64(08): 2780-2794, (SCI: 000718142700015; IF: 1.4; 中科院二区; 西安交大知名学术期刊).
[13] 田亚军, 李雪英, 沈加雪, 程云, 聂伟东,对称型隔夹层与单砂层时频特征对比分析[J]. 地球物理学进展, 2018, 33(01): 250-256, (中文核心).
[14] 田亚军, 李雪英, 程云, 沈加雪, 聂伟东,几种时频分析方法在沉积旋回判别效果上的对比[J]. 数学的实践与认识, 2018, 48(04): 206-214, (中文核心).
合作期刊论文（Journal Paper）
[1] Chuangji Meng; Jinghuai Gao; Wenting Shang; Yajun Tian; A Self-Supervised Method for Attenuating Seismic Random and Tracewise Coherent Noise Under the Nonpixelwise Independence Assumption[J]. IEEE Transactions on Geoscience and Remote Sensing, 2025, 63: 1-12, (SCI; IF: 9.4; 中科院一区; 西安交大最具学术影响力期刊).
[2] Chuangji Meng, Jinghuai Gao, Baohai Wu,Hongling Chen, Yajun Tian. Posterior sampling for random noise attenuation via score-based generative models[J]. Geophysics, 2025, 90(2): V83-V95, (SCI: 001454073900001; IF: 3; 中科院二区; 西安交大最具学术影响力期刊).
[3] Liang Zhao, Jinghuai Gao, Zhen Li, Yajun Tian, Haoqi Zhao, Yang Tao. Ridgelet Transform Based on Optimal Basic Wavelet and Its Application in Seismic Discontinuity Detection[J]. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62: 5926116, (SCI: 001317811700017; IF: 9.4; 中科院一区; 西安交大最具学术影响力期刊).
[4] Chuangji Meng, Jinghuai Gao, Yajun Tian, Hongling Chen, Wei Zhang, Renyu Luo. Stochastic Solutions for Simultaneous Seismic Data Denoising and Reconstruction via Score-Based Generative Models[J]. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62: 5919415, (SCI: 001270323400007; IF: 9.4; 中科院一区; 西安交大最具学术影响力期刊).
[5] 赵亮, 高静怀, 李振, 张伟, 田亚军. 基于广义 Curvelet 变换和相空间特征聚类的 VSP 波场分离方法[J]. 地球物理学报, 2024, 67(1): 289-307, (SCI: 001167662000021; IF: 1.4; 中科院二区; 西安交大知名学术影响力期刊).
[6] Haoqi Zhao, Jinghuai Gao,Yajun Tian, Zhao Liang, Meng Chuangji. Absorption-Constrained Wavelet Power Spectrum Inversion for Enhancing Resolution of Nonstationary Seismic Data[J]. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62: 5901715, (SCI: 24318214; IF: 9.4; 中科院一区; 西安交大最具学术影响力期刊).
[7] Chun Yang, Alexey Stovas, Yun Wang, Mengqi Li, Yajun Tian. Dissipation factor and phase velocity approximate formulas for P-waves in fluid-saturated porous media[J]. Waves in Random and Complex Media, 2023, 1-18, (SCI: 000908208900001; IF: 4.051; 中科院二区; 西安交大知名学术期刊).
[8] Chuangji Meng, Jinghuai Gao*, Yajun Tian, Liang Zhao, Haoqi Zhao, Zhiqiang Wang. Attenuation of Seismic Random Noise With Unknown Distribution: A Gaussianization Framework[J]. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61: 5915915, (SCI: 001065137900009; IF: 9.4; 中科院一区; 西安交大最具学术影响力期刊).
[9] Chuangji Meng, Jinghuai Gao, Yajun Tian, Zhiqiang Wang. Seismic random noise attenuation based on Non-IID pixel-wise gaussian noise modeling[J]. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 1-16, (SCI: 000837291200014; IF: 9.4; 中科院一区; 西安交大最具学术影响力期刊).
[10] Zhaoqi Gao, Wei Yang, Yajun Tian, Chuang Li, Xiudi Jiang, Jinghuai Gao, Zongben Xu. Global optimization with deep-learning-based acceleration surrogate for large-scale seismic acoustic-impedance inversion[J]. Geophysics, 2022, 87(1): R35-R51, (亮点文章；SCI: 000745267500003; IF: 3.264; 中科院二区; 西交最具学术影响力期刊).
[11] Wenhao Xu, Jinghuai Gao, Lingling Wang, Yajun Tian, Jianfeng Qiu, Xiudi Jiang, Daxing Wang. Compact smoothness and relative sparsity algorithm for high-resolution wavelet and reflectivity inversion of seismic data[J]. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 1-11, (SCI: 000896692300001; IF: 9.4; 中科院一区; 西安交大最具学术影响力期刊).
[12] 朱剑兵, 高照奇, 田亚军, 梁兴城. 带有横向约束的全局优化波阻抗反演方法及应用[J]. 物探与化探, 2022, 46(06): 1477-1484.
[13] Naihao Liu, Tao He, Yajun Tian, Bangyu Wu, Jinghuai Gao, Zongben Xu. Common azimuth seismic data fault analysis using residual U-Net[J]. Interpretation, 2020, 8(3): SM25-SM37, (SCI: 000566709400020; IF: 1.473; 中科院四区).
[14] 李雪英, 田亚军, 程云, 聂伟东,基于仿射类平滑伪Wigner分布的厚度有序递变型薄互层时频特征分析[J]. 石油地球物理勘探, 2019, 54(05): 1094-1105+943-944, (EI: 20194507627461).
[15] 李雪英, 田亚军, 程云, 聂伟东, 王福霖, 万乔升, 王贵友, 黏性介质等厚薄互层时频特征的正演模拟[J]. 地球物理学进展, 2019, 34(04): 1465-1474, (中文核心).
一作会议论文（Conference Paper）
[1] Yajun Tian, Jinghuai Gao, Chuangji Meng, Chun Yang. An Automatic Division Method for Multi-scale Sedimentary Cycle Units Based on Seismic Attributes [C]. The 87th EAGE Annual Meeting, Aberdeen, United Kingdom, 2026, 1-5, (EI).
[2] Yajun Tian, Jinghuai Gao, Chuangji Meng, Chun Yang. A Multi-Scale Sedimentary Cycles Characterization Method Based on Synchrosqueezing Optimal Basic Wavelet Transform[C]. The 86th EAGE Annual Meeting, Toulouse, France, 2025, 1-5, (EI: 20261520485197).
[3] 田亚军，高静怀. 三维最优基小波变换的构造及其在地质体表征中的应用[C]. 2024年中国地球科学联合学术年会, 2025, 1-4, 厦门. 中国.
[4] 田亚军，高静怀. 基于同步挤压最优基小波变换的多尺度地震沉积旋回精细表征方法[C]. 第七届油气地球物理学术年会, 2025, 1-5, 西安, 中国.
[5] Yajun Tian, Jinghuai Gao, Chuangji Meng. Construction of three-dimensional optimal basic wavelet transform and its application in reservoir characterization[C]. The 85th EAGE Annual Meeting, Oslo, Norway, 2024, 1-5, (EI).
[6] Yajun Tian, Alexey Stovas, Jinghuai Gao, Chuangji Meng. Frequency-dependent AVO inversion via deep neural network and application on tight reservoir parameters prediction[C]. The 84th EAGE Annual Meeting, Vienna, Austria, 2023, 1-5, (EI: 20242416247836).
[7] 田亚军, 高静怀, 孟创纪. 基于深度神经网络的FAVO反演及其在致密砂岩储层参数预测中的应用[C]. 中国地球科学联合学术年会, 中国珠海, 2023.
[8] Yajun Tian, Alexey Stovas, Jinghuai Gao, Jiaxin Yu, Mengqi Li. Gas saturation characterization of tight sandstone via AVO attributes[C]. The 83rd EAGE Annual Meeting, Madrid, Spain, 2022, 2874-2878, (EI: 20224813180569).
[9] Yajun Tian, Jinghuai Gao. Seismic depositional sequence characterization based on enhanced multi-channel variational mode decomposition[C]. The 82nd EAGE Annual Meeting, Amsterdam, Holland, 2021, 3012-3016, (EI: 20221511949414).
[10] Yajun Tian, Jinghuai Gao, Naihao Liu, Daoyu Chen. Seismic time-frequency analysis by using an optimized three parameter wavelet extracted by AIDNN[C]. The 82nd EAGE Annual Meeting, Amsterdam, Holland, 2020.
[11] Yajun Tian, Jinghuai Gao, Naihao Liu, Qian Wang, Hongling Chen. Characterizing sedimentary cycle using synchrosqueezing three-parameter wavelet transform[C], The 81st EAGE Annual Meeting, London, UK, 2019, (EI: 20194307568868).
[12] Yajun Tian, Jinghuai Gao. Sedimentary cycle distribution prediction method based on alternating iterative depth neural network[C]. ICTCA Annual Meeting, Beijing, China, 2019.
[13] 田亚军, 高静怀. 基于交替迭代深度网络的最优基小波构造及其在薄互储层砂体结构预测中的应用[C]. 中国地球科学联合学术年会, 中国重庆, 2020.
[14] 田亚军, 高静怀. 基于深度神经网络的地震强反射剥离方法及其在薄互层砂体结构刻画中的应用[C]. 中国工业与应用数学学会第十八届年会, 中国长沙, 2020.
合作会议论文（Conference Paper）
[1] Chuangji Meng, Jinghuai Gao, Zongben Xu, Yajun Tian, et al. Stochastic inversion of seismic reflection coefficients using score-based diffusion priors [C]. The 87th EAGE Annual Meeting, Aberdeen, United Kingdom, 2026, 1-5, (EI).
[2] Chuangji Meng, Jinghuai Gao, Yajun Tian, Hongling Chen, Lin Zhou, Jie Chen, Qiu Du, Yunduo Li. Generative Modeling of Seismic Data using Diffusion Models and its Application to Multi-Purpose Seismic Inverse Problems[C]. The 86th EAGE Annual Meeting, Toulouse, France, 2025, 1-5, (EI).
[3] Chun Yang, Jun Lu, Alexey Stovas, Yajun Tian. Approximate Brown-Korringa Fluid Substitution in VTI Media[C]. The 86th EAGE Annual Meeting, Toulouse, France, 2025, 1-5, (EI).
[4] Chuangji Meng, Jinghuai Gao, Yajun Tian, Hongling Chen, Renyu Luo. Generative Modeling of Seismic Data Using Score-Based Generative Models[C]. The 85th EAGE Annual Meeting, Oslo, Norway, 2024, 1-5, (EI).
[5] Daoyu Chen, Jinghuai Gao, Zhaoqi Gao, Yajun Tian, Yupeng Hou. Reflectivity-GAN: A data-driven method for seismic deconvolution[C]. The 81st EAGE Annual Meeting, Amsterdam, Holland, 2020.
