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郭雨薇

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Female   西安电子科技大学   With Certificate of Graduation for Doctorate Study   Associate professor  

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郭雨薇,现为西安电子科技大学人工智能学院副教授,博士后创新人才支持计划入选者,IEEE Senior Member。智能信息处理研究和智能感知与图像理解教育部重点实验室成员,“教育部创新团队”成员,国家“111”计划创新引智基地成员。目前主要从事深度学习,图像理解与解译相关领域的研究。紧跟智能信息与图像处理领域的国际前沿和国家重点研究方向—遥感数据解译、图像/视频处理、生成式对抗学习。相关成果已发表在TFS、TCYB、PR等领域国内外主流期刊。

近三年主讲两门本科生课程《计算机视觉及其应用》、《Python程序设计》,一门研究生课程《人工智能》,参与出版著作《人工智能通识基础》一部。主持国家自然科学基金面上项目、国家自然科学基金青年项目,陕西省基金面上项目等多项国家和省部级项目,参与国家自然科学基金重点项目等,与中国电科20所,华为等研究所、公司开展产学研项目合作,并指导学生参加CVPR、ICCV等国内外大赛并获奖。于2024年获陕西省自然科学技术奖二等奖。



招生信息

科学研究的过程中不可避免会遇到一些困难,我会尽力帮助你规避这些障碍,同时我也希望你拥有坚强乐观的心态来面对这些困难。作为导师,互相尊重和及时沟通是我处理师生关系的核心准则。


如果你希望成为我的研究生,下面是一些在你申请时的建议:

  • 更欢迎相关专业毕业的学生报考(计算机科学,软件工程,人工智能,电子信息等)

  • 有扎实的编程能力(比如python或c++)和一定的项目经验

  • 有一定的数学基础和深度学习基础

  • 较强的责任心和乐观的心态




代表性学术论文

2025

  • Yuwei Guo, Wenhao Zhang, Jiao Licheng,  ShuangWang, ShuoWang, Fang Liu. Visible-infrared person re-identification with region-based augmentation and cross modality attention[J]. Scientific Reports, 2025, 15(1): 18225.

2024

  • Yuwei Guo, Wenhao Zhang, Yupeng Gao, Licheng Jiao, Shuo Wang, Jiabo Du, Fang Liu. Revisiting non-learned operators based deep learning for image classification: a lightweight directional-aware network [J]. Artificial Intelligence Review, 2024, 58(2): 40.

  • Shuang Wang, Zhuangzhuang Sun, Tianquan Bian, Yuwei Guo, Linwei Dai, Yanhe Guo, Licheng Jiao. CDFNet: Cross-Domain Feature Fusion Network for PolSAR Terrain Classification[J]. IEEE Transactions on Geoscience and Remote Sensing, 2024.

  • Licheng Jiao, Xue Song, Chao You, Xu Liu, Lingling Li, Puhua Chen, Xu Tang, Zhixi Feng, Fang Liu, Yuwei Guo, Shuyuan Yang, Yangyang Li, Xiangrong Zhang, Wenping Ma, Shuang Wang, Jing Bai, Biao Hou. AI meets physics: a comprehensive survey[J]. Artificial Intelligence Review, 2024, 57(9): 256.

  • Yang Liu, Fang Liu, Licheng Jiao, Qianyue Bao, Lingling Li, Yuwei Guo, Puhua Chen. A knowledge-based hierarchical causal inference network for video action recognition[J]. IEEE Transactions on Multimedia, 2024.

  • Mengkun Liu, Licheng Jiao, Xu Liu, Lingling Li, Fang Liu, Shuyuan Yang, Yuwei Guo, Puhua Chen. C^{2} N^{2} : Complex-Valued Contourlet Neural Network[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024, 17: 4478-4491.

  • Zihan Gao, Licheng Jiao, Lingling Li, Xu Liu, Fang Liu, Puhua Chen, Yuwei Guo. Multiplane prior guided few-shot aerial scene rendering[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2024: 5009-5019.

2023

  • Licheng Jiao, Zhongjian Huang, Xiaoqiang Lu, Xu Liu, Yuting Yang, Jiaxuan Zhao, Jinyue Zhang, Biao Hou, Shuyuan Yang, Fang Liu, Wenping Ma, Lingling Li, Xiangrong Zhang, Puhua Chen, Zhixi Feng, Xu Tang, Yuwei Guo, Dou Quan, Shuang Wang, Weibin Li, Jing Bai, Yangyang Li, Ronghua Shang, Jie Feng. Brain-inspired remote sensing foundation models and open problems: A comprehensive survey[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023, 16: 10084-10120.

  • Licheng Jiao, Xin Zhang, Xu Liu, Fang Liu, Shuyuan Yang, Wenping Ma, Lingling Li, Puhua Chen, Zhixi Feng, Yuwei Guo, Xu Tang, Biao Hou, Xiangrong Zhang, Jing Bai, Dou Quan, Junpeng Zhang. Transformer meets remote sensing video detection and tracking: A comprehensive survey[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023, 16: 1-45.

  • Shuo Li, Fang Liu, Zehua Hao, Licheng Jiao, Xu Liu, Yuwei Guo. MinEnt: Minimum entropy for self-supervised representation learning[J]. Pattern Recognition, 2023, 138: 109364.

  • Licheng Jiao, Zhongjian Huang, Xu Liu, Yuting Yang, Mengru Ma, Jiaxuan Zhao, Chao You, Biao Hou, Shuyuan Yang, Fang Liu, Wenping Ma, Lingling Li, Puhua Chen, Zhixi Feng, Xu Tang, Yuwei Guo, Xiangrong Zhang, Dou Quan, Shuang Wang, Weibin Li, Jing Bai, Yangyang Li, Ronghua Shang, Jie Feng. Brain-inspired remote sensing interpretation: A comprehensive survey[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023, 16: 2992-3033.

2022

  • Yuwei Guo, Licheng Jiao, Rong Qu, Zhuangzhuang Sun, Shuang Wang, Shuo Wang, Fang Liu. Adaptive fuzzy learning superpixel representation for PolSAR image classification[J]. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60.

  • Shuang Wang, Dong Zhao, Chi Zhang, Yuwei Guo, Qi Zang, Yu Gu, Yi Li, Licheng Jiao. Cluster alignment with target knowledge mining for unsupervised domain adaptation semantic segmentation[J]. IEEE Transactions on Image Processing, 2022, 31: 7403-7418.

  • Wenping Ma, Na Li, Hao Zhu, Licheng Jiao, Xu Tang, Yuwei Guo, Biao Hou. Feature split–merge–enhancement network for remote sensing object detection[J]. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 1-17.

2021

  • Xu Liu, Licheng Jiao, Lingling Li, Xu Tang, Yuwei Guo. Deep multi-level fusion network for multi-source image pixel-wise classification[J]. Knowledge-Based Systems, 2021, 221: 106921.

  • Yuanhao Cui, Fang Liu, Licheng Jiao, Yuwei Guo, Xuefeng Liang, Lingling Li, Shuyuan Yang, Xiaoxue Qian. Polarimetric multipath convolutional neural network for PolSAR image classification[J]. IEEE Transactions on Geoscience and Remote Sensing, 2021, 60: 1-18.

  • Xiaoxue Qian, Fang Liu, Licheng Jiao, Xiangrong Zhang, Yuwei Guo, Xu Liu, Yuanhao Cui. Ridgelet-nets with speckle reduction regularization for SAR image scene classification[J]. IEEE Transactions on Geoscience and Remote Sensing, 2021, 59(11): 9290-9306.

2020

  • Yuwei Guo, Zhuangzhuang Sun, Rong Qu, Licheng Jiao, Fang Liu, Xiangrong Zhang. Fuzzy superpixels based semi-supervised similarity-constrained CNN for PolSAR image classification[J]. Remote Sensing, 2020, 12(10): 1694.

  • Jingyi Ding, Wenjing Sun, Jianshe Wu, Yuwei Guo. Influence maximization based on the realistic independent cascade model[J]. Knowledge-Based Systems, 2020, 191: 105265.

2020年以前

  • Jinliang An, Yuzhen Song, Yuwei Guo, Xiaoxiao Ma, Xiangrong Zhang. Tensor Discriminant Analysis via compact feature representation for hyperspectral images dimensionality reduction[J]. Remote Sensing, 2019, 11(15): 1822.

  • Yuwei Guo, Licheng Jiao, Shuang Wang, Shuo Wang, Fang Liu, Wenqiang Hua. Fuzzy superpixels for polarimetric SAR images classification[J]. IEEE Transactions on Fuzzy Systems, 2018, 26(5): 2846-2860.

  • Yuwei Guo, Licheng Jiao, Shuang Wang, Shuo Wang, Fang Liu. Fuzzy sparse autoencoder framework for single image per person face recognition[J]. IEEE transactions on cybernetics, 2017, 48(8): 2402-2415.

  • Yuwei Guo, Licheng Jiao, Shuang Wang, Shuo Wang, Fang Liu, Kaixuan Rong, Tao Xiong. A novel dynamic rough subspace based selective ensemble[J]. Pattern Recognition, 2015, 48(5): 1638-1652.

  • Kun Liu, Yuwei Guo, Shuang Wang, Linsheng Wu, Bo Yue, Biao Hou. Semi-supervised learning based on improved co-training by committee[C]//Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques: 5th International Conference, IScIDE 2015, Suzhou, China, June 14-16, 2015, Revised Selected Papers, Part II 5. Springer International Publishing, 2015: 413-421.


Education Background

  • 西安电子科技大学
  • 电路与系统
  • Doctoral degree
  • With Certificate of Graduation for Doctorate Study

Work Experience

2020.12 Now
  • 西安电子科技大学
  • 人工智能学院
  • 副教授
2017.12 2020.12
  • 西安电子科技大学
  • 人工智能学院
  • 讲师

Social Affiliations

  • IEEE Senior Member

  •  IET Member

Research Group

Name of Research Group:智能感知与图像理解教育部重点实验室
Description of Research Group:西安电子科技大学人工智能学院智能感知与图像理解教育部重点实验室课题组本着面向国防与国家建设重大需求,立足自主创新,在国家“863”计划、“973 计划”、 国家自然科学基金重点、面上项目、青年科学基金等项目的资助下,专注于人工智能与机器学习的智能感知新方法、新理论的研究及其在图像理解领域的应用研究。1990年成立了国内第一个神经网络研究中心;2002年,所在的电路与系统专业在第一次全国重点学科评估中位列全国第一名,被列入国家“十五”211工程重点建设学科;2003年成立智能信息处理研究所;2005年智能信息处理团队被学校评为首批四个创新团队之一;2006年智能信息处理科学与技术创新引智基地被批准为国家“111计划”首批211工程院校建设项目之一;2008年1月,“智能感知与图像理解”教育部重点实验室正式获批立项建设;2012年获批教育部“长江学者和创新团体发展计划”,并成立国际智能感知与先进计算研究中心成立;2013年西电首个国家级国际联合基地—智能感知与计算国际联合研究中心获科技部认定。智能感知与图像理解教育部重点实验室课题组承担和完成了几十余项国家有关科研任务,出版中英文专著十余本,发表学术论文百余篇,近五年获国家自然科学奖二等奖3项。