乔晓田，博士，华山学者菁英教授。2013年和2016年在浙江大学分别获得学士学位和硕士学位，2020年在香港城市大学计算机科学专业获得博士学位。主要研究领域为计算机视觉和计算机图形学，相关论文发表于TPAMI、IJCV、TVCG、SIGGRAPH、CVPR (Oral)、ICCV、AAAI等权威学术期刊/会议，并长期承担TPAMI、TIP、TVCG、IJCV、SIGGRAPH、CVPR、ICCV、ECCV、NeurIPS、ICLR、ICML、AAAI、IJCAI (SPC) 等顶级刊物的审稿工作。

招生简介：

研究方向为人工智能、计算机视觉与图形学交叉等前沿方向，包括内容生成（AI for Content Generation）、创意设计（AI for Creative Design）、人工智能驱动的交叉研究（AI for Science）等，欢迎感兴趣的同学邮件交流联系:)。同时也欢迎本校学有余力、对人工智能感兴趣的本科生加入课题组。

代表论文：

• Tonghui Feng, Chunsheng Yan, Qianru Wang, Jiangtao Cui, Xiaotian Qiao*. "HDLayout: Hierarchical and Directional Layout Planning for Arbitrary Shaped Visual Text Generation." The 39th Annual AAAI Conference on Artificial Intelligence (AAAI, CCF A), 2025.  [学院新闻]

• Xiaotian Qiao, Ying Cao, Rynson Lau. "Design Order Guided Visual Note Optimization." IEEE Transactions on Visualization and Computer Graphics (TVCG, CCF A), 2023.

• Xiaotian Qiao, Gerhard Hancke, Rynson Lau. "Learning Object Context for Novel-view Scene Layout Generation." IEEE Conference on Computer Vision and Pattern Recognition (CVPR, CCF A), 2022. [学院新闻]

• Xiaotian Qiao, Quanlong Zheng, Ying Cao, and Rynson Lau. “Instance-aware Scene Layout Forecasting.” International Journal of Computer Vision (IJCV, CCF A), 2022.

• Xiaotian Qiao, Quanlong Zheng, Ying Cao, and Rynson Lau. "Object-level Scene Context Prediction." IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI, CCF A), 2021.

• Xiaotian Qiao, Gerhard Hancke, Rynson Lau. "Light Source Guided Single-Image Flare Removal from Unpaired Data." IEEE International Conference on Computer Vision (ICCV, CCF A), 2021.

• Xiaotian Qiao, Quanlong Zheng, Ying Cao, and Rynson Lau. "Tell me where i am: Object-level scene context prediction." IEEE Conference on Computer Vision and Pattern Recognition (CVPR, CCF A), 2019.

• Xinru Zheng#, Xiaotian Qiao#, Ying Cao, and Rynson Lau. “Content-aware generative modeling of graphic design layouts.” ACM Transactions on Graphics (SIGGRAPH, CCF A), 2019.