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 001 (CHI Extended Abstracts, 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 001; Lingfei Wu 001 (EMNLP (Findings), 2021)

Graph-Augmented Code Summarization in Computational Notebooks. - April Yi Wang; Dakuo Wang; Xuye Liu; Lingfei Wu 001 (IJCAI, 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 001; John T. Richards; Jaimie Drozdal; Xuye Liu; David Piorkowski; et al. (IUI Workshops, 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 001; Casey Dugan (CoRR, 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 001 (CoRR, 2021)

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; et al. (Comput. Methods Programs Biomed., 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 001; Casey Dugan (ACM Trans. Comput. Hum. Interact., 2022)

Slide4N: Creating Presentation Slides from Computational Notebooks with Human-AI Collaboration. - Fengjie Wang; Xuye Liu; Oujing Liu; Ali Neshati; Tengfei Ma 001; Min Zhu 005; Jian Zhao 010 (CHI, 2023)

NBDESCRIB: A Dataset for Text Description Generation from Tables and Code in Jupyter Notebooks with Guidelines. - Xuye Liu; Tengfei Ma 001; Yimu Wang; Fengjie Wang; Jian Zhao 010 (ACL (Findings), 2025)

Influencer: Empowering Everyday Users in Creating Promotional Posts via AI-infused Exploration and Customization. - Xuye Liu; Annie Sun; Pengcheng An; Tengfei Ma 001; Jian Zhao 010 (CHI, 2025)

ELIOT: Zero-Shot Video-Text Retrieval through Relevance-Boosted Captioning and Structural Information Extraction. - Xuye Liu; Yimu Wang; Jian Zhao 010 (NAACL (Student Research Workshop), 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 006 (CoRR, 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; et al. (CoRR, 2025)