April Yi Wang

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 29

Top Topics

Feature Engineering

Knowledge Sharing

Top Venues

Proc. ACM Hum. Comput. Interact.

Publications

Qian Zhu, Dakuo Wang, Shuai Ma, April Yi Wang, Zixin Chen, Udayan Khurana, Xiaojuan Ma
Towards Feature Engineering with Human and AI's Knowledge: Understanding Data Science Practitioners' Perceptions in Human&AI-Assisted Feature Engineering Design. CoRR (2024)
Qian Zhu, Dakuo Wang, Shuai Ma, April Yi Wang, Zixin Chen, Udayan Khurana, Xiaojuan Ma
Towards Feature Engineering with Human and AI's Knowledge: Understanding Data Science Practitioners' Perceptions in Human&AI-Assisted Feature Engineering Design. Conference on Designing Interactive Systems (2024)
April Yi Wang, Zihan Wu, Christopher Brooks, Steve Oney
"Don't Step on My Toes": Resolving Editing Conflicts in Real-Time Collaboration in Computational Notebooks. CoRR (2024)
Jesse Harden, April Yi Wang, Rebecca Faust, Katherine E. Isaacs, Nurit Kirshenbaum, John E. Wenskovitch, Jian Zhao, Chris North
Human-Notebook Interactions: The CHI of Computational Notebooks. CHI Extended Abstracts (2024)
April Yi Wang, Andrew Head, Ashley Ge Zhang, Steve Oney, Christopher Brooks
Colaroid: A Literate Programming Approach for Authoring Explorable Multi-Stage Tutorials. CHI (2023)
Chengbo Zheng, Dakuo Wang, April Yi Wang, Xiaojuan Ma
Telling Stories from Computational Notebooks: AI-Assisted Presentation Slides Creation for Presenting Data Science Work. CoRR (2022)
April Yi Wang
Improving Real-Time Collaborative Data Science Through Context-Aware Mechanisms. VL/HCC (2022)
Chengbo Zheng, Dakuo Wang, April Yi Wang, Xiaojuan Ma
Telling Stories from Computational Notebooks: AI-Assisted Presentation Slides Creation for Presenting Data Science Work. CHI (2022)
April Yi Wang, Will Epperson, Robert A. DeLine, Steven Mark Drucker
Diff in the Loop: Supporting Data Comparison in Exploratory Data Analysis. CHI (2022)
Will Epperson, April Yi Wang, Robert DeLine, Steven Mark Drucker
Strategies for Reuse and Sharing among Data Scientists in Software Teams. ICSE (SEIP) (2022)
April Yi Wang, Dakuo Wang, Jaimie Drozdal, Michael J. Muller, Soya Park, Justin D. Weisz, Xuye Liu, Lingfei Wu, Casey Dugan
Documentation Matters: Human-Centered AI System to Assist Data Science Code Documentation in Computational Notebooks. ACM Trans. Comput. Hum. Interact. 29 (2) (2022)
David Piorkowski, Soya Park, April Yi Wang, Dakuo Wang, Michael J. Muller, Felix Portnoy
How AI Developers Overcome Communication Challenges in a Multidisciplinary Team: A Case Study. Proc. ACM Hum. Comput. Interact. 5 (CSCW1) (2021)
Soya Park, April Yi Wang, Ban Kawas, Q. Vera Liao, David Piorkowski, Marina Danilevsky
Facilitating Knowledge Sharing from Domain Experts to Data Scientists for Building NLP Models. CoRR (2021)
Xuye Liu, Dakuo Wang, April Yi Wang, Lingfei Wu
HAConvGNN: Hierarchical Attention Based Convolutional Graph Neural Network for Code Documentation Generation in Jupyter Notebooks. CoRR (2021)
April Yi Wang, Yan Chen, John Joon Young Chung, Christopher Brooks, Steve Oney
PuzzleMe: Leveraging Peer Assessment for In-Class Programming Exercises. Proc. ACM Hum. Comput. Interact. 5 (CSCW2) (2021)
Xuye Liu, Dakuo Wang, April Yi Wang, Yufang Hou, Lingfei Wu
HAConvGNN: Hierarchical Attention Based Convolutional Graph Neural Network for Code Documentation Generation in Jupyter Notebooks. EMNLP (Findings) (2021)
David Piorkowski, Soya Park, April Yi Wang, Dakuo Wang, Michael J. Muller, Felix Portnoy
How AI Developers Overcome Communication Challenges in a Multidisciplinary Team: A Case Study. CoRR (2021)
April Yi Wang, Dakuo Wang, Xuye Liu, Lingfei Wu
Graph-Augmented Code Summarization in Computational Notebooks. IJCAI (2021)
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
How Data Scientists Improve Generated Code Documentation in Jupyter Notebooks. IUI Workshops (2021)
Soya Park, April Yi Wang, Ban Kawas, Q. Vera Liao, David Piorkowski, Marina Danilevsky
Facilitating Knowledge Sharing from Domain Experts to Data Scientists for Building NLP Models. IUI (2021)
April Yi Wang, Dakuo Wang, Jaimie Drozdal, Michael J. Muller, Soya Park, Justin D. Weisz, Xuye Liu, Lingfei Wu, Casey Dugan
Themisto: Towards Automated Documentation Generation in Computational Notebooks. CoRR (2021)
April Yi Wang, Dakuo Wang, Jaimie Drozdal, Xuye Liu, Soya Park, Steve Oney, Christopher Brooks
What Makes a Well-Documented Notebook? A Case Study of Data Scientists' Documentation Practices in Kaggle. CHI Extended Abstracts (2021)
Dakuo Wang, Xiaojuan Ma, April Yi Wang
Human-Centered AI for Data Science: A Systematic Approach. CoRR (2021)
April Yi Wang, Zihan Wu, Christopher Brooks, Steve Oney
Callisto: Capturing the "Why" by Connecting Conversations with Computational Narratives. CHI (2020)
Yan Chen, Jaylin Herskovitz, Gabriel Matute, April Yi Wang, Sang Won Lee, Walter S. Lasecki, Steve Oney
EdCode: Towards Personalized Support at Scale for Remote Assistance in CS Education. VL/HCC (2020)
April Yi Wang, Parmit K. Chilana
Designing Curated Conversation-Driven Explanations for Communicating Complex Technical Concepts. VL/HCC (2019)
April Yi Wang, Anant Mittal, Christopher Brooks, Steve Oney
How Data Scientists Use Computational Notebooks for Real-Time Collaboration. Proc. ACM Hum. Comput. Interact. 3 (CSCW) (2019)
April Yi Wang, Ryan Mitts, Philip J. Guo, Parmit K. Chilana
Mismatch of Expectations: How Modern Learning Resources Fail Conversational Programmers. CHI (2018)
Laton Vermette, Shruti Dembla, April Yi Wang, Joanna McGrenere, Parmit K. Chilana
Social CheatSheet: An Interactive Community-Curated Information Overlay for Web Applications. Proc. ACM Hum. Comput. Interact. 1 (CSCW) (2017)