研究生招生方向：

信号与信息处理、大数据与机器学习、数学、地质资源与地质工程、地球探测与信息技术、地球物理等。

团队有硕博招生指标，欢迎2026级考研学生联系咨询！

E-mail： yajun.tian@xjtu.edu.cn

       田亚军，博士，助理教授，硕士研究生导师，2023年入选国家博士后创新人才支持计划（全国500人），2025年通过博新计划业绩考核获一档资助（全国228人），2023年入选西安交通大学青年优秀人才A类支持计划，2025年入选陕西省秦创原创新人才（青年工程技能人才），2025年获陕西省优秀博士学位论文（全省123篇），2022年获徐宗本应用数学论文奖，2025年获陕西省博士后创新创业大赛优胜奖。2023年3月获西安交通大学工学博士学位（导师：高静怀教授）。2021年12月至2022年12月，挪威科技大学地球科学与石油系联合培养（导师：Alexey Stovas教授）。

       研究方向聚焦非常规油气与深地油气勘探的国家重大需求，长期从事地震信号的高精度相空间表示、超分辨率反演以及人工智能油气探测相关理论的研究与新技术的研发。主持了博士后创新人才支持计划项目、中国博士后科学基金面上资助项目、陕西省自然科学青年项目、四川省自然科学青年项目B类、陕西省博士后基金项目、中央高校基本科研业务费专项项目以及央企横向项目等13项；作为骨干成员参与了国家自然科学基金重大项目、国家自然科学基金重大研究计划重点项目、国家重点研发计划项目专题、国家科技重大专项课题等10余项国家级项目。已发表学术论文45篇，其中SCI收录25篇。

工作经历

• 2023/06-至今    西安交通大学    信通学院               讲师

• 2023/06-至今    西安交通大学    数学与统计学院    博士后    合作导师：徐宗本院士     

• 2025/12 获得陕西省优秀博士学位论文（全省仅123篇）

• 2025/05 获得西安交通大学优秀博士学位论文

• 2023/03 获得西安交通大学优秀毕业生称号

• 2022/09 获得第八届“徐宗本应用数学论文奖”

• 2018/12 第十五届中国研究生数学建模竞赛 (国家级二等奖)

• 2017/08 第五届全国大学生勘探地球物理大赛 (国家级特等奖)

• 2017/12 第十四届中国研究生数学建模竞赛 (国家级三等奖)

• 2016/12 第十三届全国研究生数学建模竞赛 (国家级二等奖)

• 2016/08 第四届全国大学生勘探地球物理大赛 (国家级二等奖)

• 2016/02 美国国际大学生数学建模竞赛 (国际二等奖)

• 2015/12 第十二届全国研究生数学建模竞赛 (国家级三等奖)

• 2015/08 第三届全国大学生勘探地球物理大赛 (国家级二等奖)

• 2014/08 第二届全国大学生勘探地球物理大赛 (国家级二等奖)

• 2013/11 全国大学生数学建模竞赛 (国家级二等奖)

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 84^th 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 83^rd 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 82^nd 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 82^nd 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 81^st 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 81^st EAGE Annual Meeting, Amsterdam, Holland, 2020.