教育经历

2014-2018 西北工业大学，本科

2019-2023 新加坡南洋理工大学，MMLab@NTU，博士

工作经历

2023-2025 德国马克斯·普朗克信息学研究所，博士后

2026至今 北京航空航天大学，人工智能学院，准聘教授

基础模型、多模态理解与生成、具身智能

在IJCV、CVPR、ICCV、NeurIPS、ICLR、ICML等计算机视觉和机器学习国际顶级期刊和会议上发表CCF-A类论文十余篇。担任ECCV 2026领域主席，长期担任TPAMI、IJCV、CVPR、ICCV、ECCV、NeurIPS、ICLR、ICML、AAAI等国际顶级期刊和会议审稿人，并多次获得杰出审稿人荣誉。开发了适用于学术研究和工业应用的开源项目MMSelfSup和MMPreTrain，隶属OpenMMLab项目，GitHub累计获得超过7千星标，下载量80万余次。

获奖情况

1. 国家优秀自费留学生奖学金，中国国家留学基金管理委员会，2023

2. Facebook人工智能自监督挑战赛全部四个赛道国际冠军，2019

3. CVPR 2021、CVPR 2023、ICLR 2025杰出审稿人

开源项目

[1] MMSelfSup: OpenMMLab Self-Supervised Learning Toolbox and Benchmark, Apache License 2.0, 2021.

[2] MMPreTrain: OpenMMLab Pre-Training Toolbox and Benchmark, Apache License 2.0, 2023.

代表性论文

[1] Jiahao Xie, Wei Li, Xiangtai Li, Ziwei Liu, Yew Soon Ong, and Chen Change Loy, MosaicFusion: Diffusion Models as Data Augmenters for Large Vocabulary Instance Segmentation, International Journal of Computer Vision (IJCV), 2024.

[2] Jiahao Xie, Xiaohang Zhan, Ziwei Liu, Yew-Soon Ong, and Chen Change Loy, Delving into Inter-Image Invariance for Unsupervised Visual Representations, International Journal of Computer Vision (IJCV), 2022.

[3] Jiahao Xie, Wei Li, Xiaohang Zhan, Ziwei Liu, Yew Soon Ong, and Chen Change Loy, Masked Frequency Modeling for Self-Supervised Visual Pre-Training, The Eleventh International Conference on Learning Representations (ICLR), 2023.

[4] Jiahao Xie, Xiaohang Zhan, Ziwei Liu, Yew Soon Ong, and Chen Change Loy, Unsupervised Object-Level Representation Learning from Scene Images, Advances in Neural Information Processing Systems (NeurIPS), 2021.

[5] Jiahao Xie, Alessio Tonioni, Nathalie Rauschmayr, Federico Tombari, and Bernt Schiele, Test-Time Visual In-Context Tuning, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025.