肖屹，1998年生，江西吉安人。博士毕业于武汉大学，师从袁强强与张良培教授，研究方向为图像视频处理与计算机视觉，侧重视觉增强、多模态融合、遥感信息处理等。在IEEE汇刊/中科院一区/CCF-A类会议发表学术论文30余篇，含ESI热点4篇，ESI高被引10篇，谷歌学术总引用3500余次，入选首批中国科协青托博士专项、斯坦福全球前2%顶尖科学家榜单。

电子邮箱：yixiao@zzu.edu.cn

个人主页：https://xy-boy.github.io/

代表性论文

[1] Yi Xiao, Qiangqiang Yuan, Kui Jiang, Jiang He, Chia-Wen Lin, Liangpei Zhang. TTST: A top-k token selective transformer for remote sensing image super-resolution. IEEE Transactions on Image Processing (IEEE TIP), 2024. (CCF-A期刊, ESI热点论文)

[2] Yi Xiao, Qiangqiang Yuan, Kui Jiang, Yuzeng Chen, Shiqi Wang, Chia-Wen Lin. Multi-axis feature diversity enhancement for remote sensing video super-resolution. IEEE Transactions on Image Processing (IEEE TIP), 2025. (CCF-A期刊, ESI热点论文)

[3] Yi Xiao, Qiangqiang Yuan, Kui Jiang, Weke Huang, Qiang Zhang, Tingting Zheng, Chia-Wen Lin, Liangpei Zhang. Spiking meets attention: Efficient remote sensing image super-resolution with attention spiking neural networks. Advances in Neural Information Processing Systems (NeurIPS), 2025. (CCF-A会议, 人工智能国际顶会)

[4] Yi Xiao, Qiangqiang Yuan, Kui Jiang, Yuzeng Chen, Qiang Zhang, Chia-Wen Lin. Frequency-assisted mamba for remote sensing image super-resolution. IEEE Transactions on Multimedia (IEEE TMM), 2025. (CCF-A期刊, ESI热点论文)

[5] Yi Xiao, Qiangqiang Yuan, Kui Jiang, Jiang He, Yuan Wang, Liangpei Zhang. From degrade to upgrade: Learning a self-supervised degradation guided adaptive network for blind remote sensing image super-resolution. Information Fusion, 2023. (中科院一区, ESI热点论文)