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Yutong Tian

Doctoral student in University of Electronic Science and Technology of China (UESTC)

Publications

Journal

  1. Y. Tian et al., “Efficient Deep-Learning-Driven Sparse-Target Imaging Method for Array Borehole Radar in Nonuniform Medium,” in IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-14, 2024, Art no. 2000914, doi: 10.1109/TGRS.2023.3346464. (中科院1区Top，IF 8.2)
  2. Y. Tian et al., “Local Manifold Embedding Cross-Domain Subspace Learning for Drift Compensation of Electronic Nose Data,” IEEE Trans. Instrum. Meas., vol. 70, pp. 1–12, 2021, doi: 10.1109/TIM.2021.3108529. （中科院2区Top，IF 5.6）
  3. Y. Tian et al., “Matrix-Pencil-Based Waterflow Velocity Detection Method by 24 GHz Millimetre-Wave Radar”, IEEE Antennas and Wireless Propagation Letters, Accepted, 2024. （中科院2区Top，IF 5.2）
  4. Y. Tian et al., “Adaptive Gradient Projection Correction Method for Resistivity Array Imaging Logging,” IEEE Sensors Journal, Accepted, 2024. （中科院2区Top，IF 4.3）
  5. Y. Tian et al., “A Nonlinear Manifold Embedding Extreme Learning Machine to Improve Gas Recognition of Electronic Nose,” IEEE Sensors Journal, Accepted, 2024. （中科院2区Top，IF 4.3）
  6. Y. Tian et al., “A Drift-Compensating Novel Deep Belief Classification Network to Improve Gas Recognition of Electronic Noses,” IEEE Access, vol. 8, pp. 121385–121397, 2020, doi: 10.1109/ACCESS.2020.3006729. （中科院3区，IF 3.9）
  7. R. Yi, J. Yan, D. Shi, Y. Tian et al., “Improving the Performance of Drifted/Shifted Electronic Nose Systems by Cross-Domain Transfer using Common Transfer Samples,” Sens. Actuators B Chem., vol. 329, no. 11, p. 129162, 2020.
  8. Y. Zhang, J. Yan, Z. Wang, Z. Wang, Y. Tian et al., “TDACNN: Target-domain-free domain adaptation convolutional neural network for drift compensation in gas sensors,” Sens. Actuators B Chem, vol. 361, p. 131739, Jun. 2022, doi: 10.1016/j.snb.2022.131739.

Conference

  1. Y. Tian et al., “Outage-Analysis-Based Receiver Digital Beamforming for Deep-Fading Suppression in Millimetre-Wave Railway Communications,” in 2024 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (USNC-URSI), Florance, Italy: IEEE, Jul. 2024, Accepted. （国际A类会议，电磁波与天线领域国际顶级会议）
  2. Y. Tian et al., “A Robust Signal Transformation Classification Method to Improve the Range Resolution of Array FMCW Radar with Element Offset,” in 2024 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (USNC-URSI), Florance, Italy: IEEE, Jul. 2024, Accepted. （国际A类会议，电磁波与天线领域国际顶级会议）
  3. Y. Tian et al., “A Convex Optimization Method for Low Sidelobe Null-Steering Array Pattern Synthesis,” in 2024 International Conference on Microwave and Millimeter Wave Technology (ICMMT2024), Beijing, China: IEEE, May. 2024, Accepted. （国内A类会议，电磁波与天线领域国内顶级会议）
  4. Y. Tian et al., “A Deep-Learning-Based Borehole Radar Sparse Target Imaging Method with High Accuracy in Nonuniform Medium,” in 2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (USNC-URSI), Portland, OR, USA: IEEE, Jul. 2023, pp. 1809–1810. doi: 10.1109/USNC-URSI52151.2023.10238140. （国际A类会议，电磁波与天线领域国际顶级会议）
  5. 田雨桐等，“基于自适应梯度投影的阵列成像错位校正方法”，全国微波毫米波会议，青岛，2023. （国内A类会议）
  6. 田雨桐等，“基于集成主副瓣功率比的低副瓣波束成形方法”，全国天线年会，哈尔滨，2023.（国内A类会议）
  7. 田雨桐等，“基于低秩稀疏模型的阵列电阻率成像去噪方法”，全国天线年会，哈尔滨，2023.（国内A类会议）
  8. 田雨桐等，“基于启发式优化算法的毫米波雷达水流测速方法研究”，中国电子学会电路与系统分会第三十三届学术年会, 北京, 2023.（国内A类会议）

Patent

  1. 闫嘉，田雨桐等，“一种基于流形学习的跨域子空间学习电子鼻漂移补偿方法”，发明专利 CN 202110923440.4，2021年08月12日
  2. 田雨桐等，“回收用油检测装置”，，实用新型专利 CN 201922490640.6，2019年12月31日
  3. 李廷军，田雨桐等，“一种基于自适应梯度投影的电阻率成像错位校正方法”，发明专利 CN 202210464197.9，2022年04月29日
  4. 李廷军，田雨桐等“一种多基站间基于定位信号转发的位置解算方法”，发明专利 CN 202211088929.5，2022年09月07日