2016.12 – 2017.12   美国哥伦比亚大学，CSC联合培养博士

2014.09 – 2018.09   厦门大学，博士

2011.09 – 2014.06   厦门大学，硕士

2006.09 – 2010.07   集美大学，本科

图像视频处理与分析、计算机视觉、人工智能

个人主页：https://xueyangfu.github.io/

2025.01. – 至今           中国科学技术大学，特任教授

2023.04. – 2024.12.    中国科学技术大学，副教授

2018.12. – 2023.03.    中国科学技术大学，副研究员

2024，CCF-A类国际会议CVPR，神经形态混合视觉解马赛克挑战赛，冠军

2024，CCF-A类国际会议CVPR，图像去雾挑战赛挑战赛，冠军

2024，CCF-A类国际会议CVPR，图像去阴影挑战赛，冠军

2022，CCF-B类国际会议ECCV，屏下摄像头图像复原挑战赛，冠军

2024，CCF-A类国际会议ACM Multimedia，无人机视觉匹配挑战赛，亚军

2020 - 2024，World's Top 2% Scientists（斯坦福全球前2%顶尖科学家榜单)

2024，中国模式识别与计算机视觉会议（PRCV），Best AC

2022、2023，Elsevier Highly Cited Chinese Researchers （爱思唯尔中国高被引学者榜单)

2021, IEEE Journal of Oceanic Engineering期刊杰出审稿人（Outstanding Reviewer）

2020，欧洲信号处理学会《Signal Processing》 期刊唯一最佳论文奖（排名1）

2020，福建省自然科学三等奖（排名2）

2019，吴文俊人工智能自然科学三等奖 （排名2）

主持了包括基金委优青、面上、青年、企业委托项目等多项科研项目，以项目骨干身份参与科技部科技创新2030-“新一代人工智能”重大项目、基金委联合重点项目等多项国家级科研项目。

期刊：
[1]	Xueyang Fu, Chengzhi Cao, Senyan Xu, Fanrui Zhang, Kunyu Wang, Zheng-Jun Zha. "Event-driven Heterogeneous Network for Video Deraining". IJCV, 2024. 

[2]	Kunyu Wang, Xueyang Fu, Chengjie Ge, Chengzhi Cao, Zheng-Jun Zha. "Towards Generalized UAV Object Detection: A Novel Perspective from Frequency Domain Disentanglement". IJCV, 2024. 

[3]	Xueyang Fu, Jie Xiao, Yurui Zhu, Aiping Liu, Feng Wu, Zheng-Jun Zha. "Continual Image De-raining with Hypergraph Convolutional Networks". IEEE T-PAMI, 2023. 

[4]	Jie Xiao, Xueyang Fu*, Aiping Liu, Feng Wu, Zheng-Jun Zha. "Image De-raining Transformer". IEEE T-PAMI, 2022.

[5]	YuKun Huang, Xueyang Fu*, Liang Li, Zheng-Jun Zha. "Learning Degradation-Invariant Representation for Robust Real-World Person Re-Identification". IJCV, 2022.

[6]	Xueyang Fu, Qi Qi, Zheng-Jun Zha, Xinghao Ding, Feng Wu, John Paisley. "Successive Graph Convolutional Network for Image De-raining". IJCV, 2021.

会议：
[1]     Jie Xiao, Kai Zhu, ..., Xueyang Fu*, Zheng-Jun Zha. "CCM: Real-Time Controllable Visual Content Creation Using Text-to-Image Consistency Models". ICML, 2024. 

[2]     Jie Xiao, ..., Xueyang Fu*, Kai Zhu, Yu Liu, Zheng-Jun Zha. "DreamClean: Restoring Clean Image Using Deep Diffusion Prior". ICLR, 2024. 

[3]     Jie Xiao, Xueyang Fu*, Yurui Zhu, Dong Li, Jie Huang, Kai Zhu, Zheng-Jun Zha. "HomoFormer: Homogenized Transformer for Image Shadow Removal". IEEE CVPR, 2024.

[4]     Zhijing Sun, Xueyang Fu, Longzhuo Huang, Aiping Liu, Zheng-Jun Zha. "Motion Aware Event Representation-driven Image Deblurring". ECCV, 2024.

[5]    Jie Xiao, Xueyang Fu*, Man Zhou, Hongjian Liu, Zheng-Jun Zha. "Random Shuffle Transformer for Image Restoration". ICML, 2023. 

[6]    Yurui Zhu, Jie Huang, Xueyang Fu*, Feng Zhao, Qibin Sun, Zheng-Jun Zha. "Bijective Mapping Network for Shadow Removal". IEEE CVPR, 2022. (Oral paper)

[7]	Jie Xiao, Xueyang Fu*, Feng Wu, Zheng-Jun Zha. "Stochastic Window Transformer for Image Restoration". NeurIPS, 2022. (Spotlight paper)

[8]	Man Zhou, Xueyang Fu*, Zeyu Xiao, Aiping Liu, Gang Yang, Zhiwei Xiong. "Unfolding Taylor's Approximations for Image Restoration". NeurIPS, 2021.

[9]  Xueyang Fu, Xi Wang, Aiping Liu, Junwei Han, Zheng-Jun Zha. "Learning Dual Priors for JPEG Compression Artifacts Removal".  IEEE ICCV, 2021.