Xuye Liu

According to our database, Xuye Liu authored at least 14 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

BrowseComp-Plus: A More Fair and Transparent Evaluation Benchmark of Deep-Research Agent.

Zijian Chen, Xueguang Ma, Shengyao Zhuang, Ping Nie, Kai Zou, Andrew Liu, Joshua Green, Kshama Patel, Ruoxi Meng, Mingyi Su, Sahel Sharifymoghaddam, Yanxi Li, Haoran Hong, Xinyu Shi, Xuye Liu, Nandan Thakur, Crystina Zhang, Luyu Gao, Wenhu Chen, Jimmy Lin

CoRR, August, 2025

Survey of Video Diffusion Models: Foundations, Implementations, and Applications.

Yimu Wang, Xuye Liu, Wei Pang, Li Ma, Shuai Yuan, Paul E. Debevec, Ning Yu

CoRR, April, 2025

ELIOT: Zero-Shot Video-Text Retrieval through Relevance-Boosted Captioning and Structural Information Extraction.

Xuye Liu, Yimu Wang, Jian Zhao

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Influencer: Empowering Everyday Users in Creating Promotional Posts via AI-infused Exploration and Customization.

Xuye Liu, Annie Sun, Pengcheng An, Tengfei Ma, Jian Zhao

Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 2025

NBDESCRIB: A Dataset for Text Description Generation from Tables and Code in Jupyter Notebooks with Guidelines.

Xuye Liu, Tengfei Ma, Yimu Wang, Fengjie Wang, Jian Zhao

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2023

Slide4N: Creating Presentation Slides from Computational Notebooks with Human-AI Collaboration.

Fengjie Wang, Xuye Liu, Oujing Liu, Ali Neshati, Tengfei Ma, Min Zhu, Jian Zhao

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022

Documentation Matters: Human-Centered AI System to Assist Data Science Code Documentation in Computational Notebooks.

April Yi Wang, Dakuo Wang, Jaimie Drozdal, Michael J. Muller, Soya Park, Justin D. Weisz, Xuye Liu, Lingfei Wu, Casey Dugan

ACM Trans. Comput. Hum. Interact., 2022

How much can AI see in early pregnancy: A multi-center study of fetus head characterization in week 10-14 in ultrasound using deep learning.

Qi Lin, Yuli Zhou, Siyuan Shi, Yujuan Zhang, Shaoli Yin, Xuye Liu, Qihui Peng, Shaoting Huang, Yitao Jiang, Chen Cui, Ruilian She, Jinfeng Xu, Fajin Dong

Comput. Methods Programs Biomed., 2022

2021

HAConvGNN: Hierarchical Attention Based Convolutional Graph Neural Network for Code Documentation Generation in Jupyter Notebooks.

Xuye Liu, Dakuo Wang, April Yi Wang, Lingfei Wu

CoRR, 2021

Themisto: Towards Automated Documentation Generation in Computational Notebooks.

April Yi Wang, Dakuo Wang, Jaimie Drozdal, Michael J. Muller, Soya Park, Justin D. Weisz, Xuye Liu, Lingfei Wu, Casey Dugan

CoRR, 2021

How Data Scientists Improve Generated Code Documentation in Jupyter Notebooks.

Michael J. Muller, April Yi Wang, Steven I. Ross, Justin D. Weisz, Mayank Agarwal, Kartik Talamadupula, Stephanie Houde, Fernando Martinez, John T. Richards, Jaimie Drozdal, Xuye Liu, David Piorkowski, Dakuo Wang

Proceedings of the Joint Proceedings of the ACM IUI 2021 Workshops co-located with 26th ACM Conference on Intelligent User Interfaces (ACM IUI 2021), 2021

Graph-Augmented Code Summarization in Computational Notebooks.

April Yi Wang, Dakuo Wang, Xuye Liu, Lingfei Wu

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

HAConvGNN: Hierarchical Attention Based Convolutional Graph Neural Network for Code Documentation Generation in Jupyter Notebooks.

Xuye Liu, Dakuo Wang, April Yi Wang, Yufang Hou, Lingfei Wu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

What Makes a Well-Documented Notebook? A Case Study of Data Scientists' Documentation Practices in Kaggle.

April Yi Wang, Dakuo Wang, Jaimie Drozdal, Xuye Liu, Soya Park, Steve Oney, Christopher Brooks

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021