教育经历

2011-2015 吉林大学，通信工程学院，本科

2015-2020 清华大学，电子工程系，博士

2018-2019 哥伦比亚大学，电气工程系，访学博士

工作经历

2020-2024 南洋理工大学，电气电子工程学院，Research Fellow

2024-2025 北京航空航天大学，人工智能学院，准聘副教授

2025至今 北京航空航天大学，人工智能学院，准聘教授

兼职情况

《Signal Processing》编委

研究生课程

《科学写作与报告》

本科生课程

《人工智能导论》

《生成式AI与大模型》

智能鲁棒感知、智能信息处理及在具身智能、多模态大模型及智能体、网联车路协同中应用。

目前已发表多篇一区期刊及A类会议论文，其中第一作者发表论文十余篇，包括国际知名期刊：IEEE TPAMI、IEEE TSP、IEEE TIP、IEEE TGRS等，以及国际A类会议：CVPR、ICCV、AAAI等，主持国家自然科学基金面上项目等多个项目，曾参与德国Continental集团、新加坡A*STAR项目等多个国外项目，搭建德国Continental集团项目应用系统。

获奖情况

国际发明展览会“发明创业奖·项目奖”金奖、博士研究生国家奖学金等。

发明专利

[1] R. She, Q. Kang, S. Wang, W. Tay, etc. “Computer-implemented method for estimating a position and/or pose of a vehicle,” Application No. 102023112148.0, Germany.

[2] Q. Kang, R. She, S. Wang, W. Tay, etc. “Method for image segmentation matching,” Application No. 10202205141P, Singapore.

[3] Q. Kang, R. She, W. Tay, Y. Guan, etc. “Position determination of a vehicle using image segmentations,” Application No. 10202205185R, Singapore.

[4] S. Wang, R. She, Q. Kang, T. Geng, W. Tay, etc. “AGPlace: Multi-Modal Place Recognition in the Aerial-Ground Cross View with Differential Geometry,” Application No. 10202401872S, Singapore.

[5] S. Wang, Q. Kang, R. She, W. Tay, etc. “A computer-implemented method for camera pose regression in a challenging traffic environment,” Application No. 2216510.4, United Kingdom.

代表性论文

[1] R. She, S. Wang, Q. Kang, K. Zhao, T. Geng, Y. Zhao, W. Liang and W. Tay. “Hierarchical information embeddings with neural ODEs for personalized federated learning,” IEEE Trans. Pattern. Anal. Mach. Intell., vol.48, no.7, pp. 7241-7257, Jul. 2026.

[2] R. She, P. Fan, X. Liu and X. Wang. “Interpretable generative adversarial networks with exponential function,” IEEE Trans. Signal Process., vol. 69, pp. 3854-3867, Jun. 2021.

[3] R. She, Q. Kang, S. Wang, Y. Yang, K. Zhao, Y. Song and W. Tay. “RobustMat: Neural diffusion for street landmark patch matching under challenging environments,” IEEE Trans. Image Process., vol. 32, pp. 5550-5563, Sep. 2023.

[4] R. She, Q. Kang, S. Wang, W. Tay, Y. Guan, D. Navarro and A. Hartmannsgruber. “Image patch-matching with graph-based learning in street scenes,” IEEE Trans. Image Process., vol. 32, pp. 3465-3480, Jun. 2023.

[5] R. She, S. Wang, Q. Kang, K. Zhao, Y. Song, W. Tay, T. Geng and X. Jian. “PosDiffNet: Positional neural diffusion for point cloud registration in a large field of view with perturbations,” in Proc. AAAI Conference on Artificial Intelligence, Vancouver, Canada, Feb. 2024.