Published in Arxiv, 2024
Recommended citation: Xuye Liu, Annie Sun, Pengcheng An, Tengfei Ma, Jian Zhao. https://arxiv.org/abs/2407.14928
Published in Arxiv, 2024
Recommended citation: Xuye Liu, Yimu Wang, Wei Pang, Xiangru Jian, Jian Zhao. Arxiv
Published in In CHI Conference on Human Factors in Computing Systems (CHI 2023)., 2023
Recommended citation: Fengjie Wang*, Xuye Liu*, Oujing Liu, Ali Neshati, Tengfei Ma, Min Zhu, and Jian Zhao. 2023. Slide4N: Creating Presentation Slides from Computational Notebooks with Human-AI Collaboration. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI 23) https://dl.acm.org/doi/abs/10.1145/3544548.3580753
Published in In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: Findings (EMNLP 2021), to appear, 2021
Recommended citation: Xuye Liu*, Dakuo Wang*, April Yi Wang, Yufang Hou, and Lingfei Wu. . HAConvGNN: Hierarchical Attention Based Convolutional Graph Neural Network for Code Documentation Generation in Jupyter Notebooks In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: Findings (EMNLP 2021), to appear https://arxiv.org/abs/2104.01002
Published in ACM Transactions on Computer-Human Interaction (TOCHI 2021), to appear, 2021
Recommended citation: April Yi Wang*, Dakuo Wang*, Jaimie Drozdal, Michael Muller, Soya Park, Justin D. Weisz, Xuye Liu, Lingfei Wu, and Casey Dugan. . Documentation Matters: Human-Centered AI System to Assist Data Science Code Documentation in Computational Notebooks ACM Transactions on Computer-Human Interaction (TOCHI 2021), to appear https://arxiv.org/abs/2102.12592
Published in Proceedings of 30th International Joint Conferences on Artificial Intelligence (IJCAI 2021). Demo Paper., 2021
Recommended citation: April Yi Wang, Dakuo Wang, Xuye Liu, Lingfei Wu, et al. 2021c. Graph-augmented code summarization in computational notebooks. IJCAI’21 Demo. https://www.ijcai.org/proceedings/2021/0717.pdf
Published in In CHI Conference on Human Factors in Computing Systems Extended Abstracts (CHI 2021 Extended Abstracts)., 2021
Recommended citation: April Yi Wang , Dakuo Wang, Jaimie Drozdal, Xuye Liu, Soya Park, Steve Oney and Christopher Brooks. 2021. What Makes a Well-Documented Notebook? A Case Study of Data Scientists’ Documentation Practices in Kaggle. In CHI Conference on Human Factors in Computing Systems Extended Abstracts (CHI 2021 Extended Abstracts). https://aprilwang.me/assets/pubs/CHILBW21_KaggleNotebooks.pdf
Published in Workshop on Human-AI Co-Creation with Generative Models at ACM Conference on Intelligent User Interface (IUI 2021)., 2021
Recommended citation: Michael Muller, April Yi Wang, Steven I. Ross, Justin D. Weisz, Mayank Agarwal, Kartik Talamadupula, Stephanie Houde, Fernando Martinez, John Richards, Jaimie Drozdal, Xuye Liu, David Piorkowski and Dakuo Wang. 2021. How Data Scientists Improve Generated Code Documentation in Jupyter Notebooks Workshop on Human-AI Co-Creation with Generative Models at ACM Conference on Intelligent User Interface (IUI 2021). http://ceur-ws.org/Vol-2903/IUI21WS-HAIGEN-10.pdf