2006.09 – 2010.07 集美大学，本科

2011.09 – 2014.06 厦门大学，硕士

2014.09 – 2018.09 厦门大学，博士

2016.12 – 2017.12 美国哥伦比亚大学，CSC联合培养博士

1. 计算机视觉

2. 人工智能 

2023.04. – 至今  中国科学技术大学 信息科学技术学院 副教授

2018.12. – 2023.03.  中国科学技术大学 信息科学技术学院 副研究员

2022 年度爱思唯尔“中国高被引学者”

2020 年度福建省自然科学三等奖

2020 年度 Signal Processing 期刊唯一最佳论文奖

2019 年度吴文俊人工智能自然科学三等奖  

参与主持多项基金委、科技部的课题。 

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

[2]	Jie Xiao, Kai Zhu, Han Zhang, Zhiheng Liu, Yujun Shen, Zhantao Yang, Ruili Feng, Yu Liu, Xueyang Fu*, Zheng-Jun Zha. "CCM: Real-Time Controllable Visual Content Creation Using Text-to-Image Consistency Models". ICML, 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, 130: 2770-2796, 2022.

[6]	Xueyang Fu, Qi Qi, Zheng-Jun Zha, Xinghao Ding, Feng Wu, John Paisley. "Successive Graph Convolutional Network for Image De-raining". IJCV, 129: 1691-1711, 2021.

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

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

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

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

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