Publications

Careful About What App Promotion Ads Recommend! Detecting and Explaining Malware Promotion via App Promotion Graph
Shang Ma, Chaoran Chen, Shao Yang, Shifu Hou, Toby Jia-Jun Li, Xusheng Xiao, Tao Xie, and Yanfang Ye
The Network and Distributed System Security Symposium (NDSS 2025)
[Paper PDF]

Sketchar: Supporting Character Design and Illustration Prototyping Using Generative AI
Long Ling, Xinyi Chen, Ruoyu Wen, Toby Jia-Jun Li, and Ray LC
Proceedings of the ACM on Human-Computer Interaction (CHI PLAY 2024)
[Paper PDF]

SQLucid: Grounding Natural Language Database Queries with Interactive Explanations
Yuan Tian, Jonathan Kummerfeld, Toby Jia-Jun Li, and Tianyi Zhang
Proceedings of the ACM Symposium on User Interface Software and Technology (UIST 2024)
[Paper PDF] [ACM DL]

MIMOSA: Human-AI Co-Creation of Computational Spatial Audio Effects on Videos
Zheng Ning, Zheng Zhang, Jerrick Ban, Kaiwen Jiang, Ruohong Gan, Yapeng Tian, and Toby Jia-Jun Li
Proceedings of the 16th ACM Conference on Creativity and Cognition (C&C 2024)
[Paper PDF] [ACM DL]

EyeTrans: Merging Human and Machine Attention for Neural Code Summarization
Yifan Zhang, Jiliang Li, Zachary Karas, Aakash Bansal, Toby Jia-Jun Li, Collin McMillan, Kevin Leach, and Yu Huang
Proceedings of the ACM International Conference on the Foundations of Software Engineering (FSE 2024)
[Paper PDF] [ACM DL]

An Empathy-Based Sandbox Approach to Bridge the Privacy Gap among Attitudes, Goals, Knowledge, and Behaviors
Chaoran Chen, Weijun Li, Wenxin Song, Yanfang Ye, Yaxing Yao, and Toby Jia-Jun Li
Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2024)
[Paper PDF] [ACM DL] [Demo Video]

SPICA: Interactive Video Content Exploration through Augmented Audio Descriptions for Blind or Low-Vision Viewers
Zheng Ning, Brianna L. Wimer, Kaiwen Jiang, Keyi Chen, Jerrick Ban, Yapeng Tian, Yuhang Zhao, and Toby Jia-Jun Li
Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2024)
[Paper PDF] [ACM DL] [Demo Video]

Structured Generation and Exploration of Design Space with Large Language Models for Human-AI Co-Creation
Sangho Suh*, Meng Chen*, Bryan Min, Toby Jia-Jun Li, and Haijun Xia
Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2024)
[Paper PDF] [ACM DL] [Demo Video] [Website]

CollabCoder: A Lower-barrier, Rigorous Workflow for Inductive Collaborative Qualitative Analysis with Large Language Models
Jie Gao, Yuchen Guo, Gionnieve Lim, Tianqin Zhang, Zheng Zhang, Toby Jia-Jun Li, and Simon Perrault
Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2024)
[Paper PDF] [ACM DL] [Demo Video]

From Awareness to Action: Exploring End-User Empowerment Interventions for Dark Patterns in UX
Yuwen Lu, Chao Zhang, Yuewen Yang, Yaxing Yao, and Toby Jia-Jun Li
Proceedings of the ACM on Human-Computer Interaction (CSCW 2024)
🏆 Best Paper Award
[Paper PDF]

Interactive Text-to-SQL Generation via Editable Step-by-Step Explanations
Yuan Tian, Zheng Zhang, Zheng Ning, Toby Jia-Jun Li, Jonathan K. Kummerfeld, and Tianyi Zhang
Proceedings of the the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023)
[Paper PDF]

VISAR: A Human-AI Argumentative Writing Assistant with Visual Programming and Rapid Draft Prototyping
Zheng Zhang, Jie Gao, Ranjodh Singh Dhaliwal, and Toby Jia-Jun Li
Proceedings of the ACM Symposium on User Interface Software and Technology (UIST 2023)
[Paper PDF] [ACM DL] [Demo Video] [Website]

PEANUT: A Human-AI Collaborative Tool for Annotating Audio-Visual Data
Zheng Zhang*, Zheng Ning*, Chenliang Xu, Yapeng Tian, and Toby Jia-Jun Li
Proceedings of the ACM Symposium on User Interface Software and Technology (UIST 2023)
[Paper PDF] [ACM DL] [Demo Video]

PaTAT: Human-AI Collaborative Qualitative Coding with Explainable Interactive Rule Synthesis
Simret Araya Gebreegziabher*, Zheng Zhang*, Xiaohang Tang, Yihao Meng, Elena Glassman, and Toby Jia-Jun Li
Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2023)
[Paper PDF] [ACM DL] [Demo Video] [Talk Video]

An Empirical Study of Model Errors and User Error Discovery and Repair Strategies in Natural Language Database Queries
Zheng Ning*, Zheng Zhang*, Tianyi Sun, Yuan Tian, Tianyi Zhang, and Toby Jia-Jun Li
Proceedings of the 28th ACM Conference on Intelligent User Interfaces (IUI 2023)
[Paper PDF] [ACM DL]

A Bottom-Up End-User Intelligent Assistant Approach to Empower Gig Workers against AI Inequality
Toby Jia-Jun Li, Yuwen Lu, Jaylexia Clark, Meng Chen, Victor Cox, Meng Jiang, Yang Yang, Tamara Kay, Danielle Wood, and Jay Brockman
Proceedings of the 1st Symposium on Human-Computer Interaction for Work (CHIWORK 2022)
[Paper PDF] [ACM DL]

It is AI’s Turn to Ask Human a Question: Question and Answer Pair Generation for Children Storybooks in FairytaleQA Dataset
Bingsheng Yao, Dakuo Wang, Tongshuang Wu, Zheng Zhang, Toby Jia-Jun Li, Mo Yu, and Ying Xu
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022)
[Paper PDF] [ACL Anthology]

Fantastic Questions and Where to Find Them: FairytaleQA–An Authentic Dataset for Narrative Comprehension
Ying Xu, Dakuo Wang, Mo Yu, Daniel Ritchie, Bingsheng Yao, Tongshuang Wu, Zheng Zhang, Toby Jia-Jun Li, Nora Bradford, Branda Sun, Tran Hoang, Yisi Sang, Yufang Hou, Xiaojuan Ma, Diyi Yang, Nanyun Peng, Zhou Yu, and Mark Warschauer
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022)
[Paper PDF] [ACL Anthology]

StoryBuddy: A Human-AI Collaborative Agent for Parent-Child Interactive Storytelling with Flexible Parent Involvement
Zheng Zhang, Ying Xu, Yanhao Wang, Bingsheng Yao, Daniel Ritchie, Tongshuang Wu, Mo Yu, Dakuo Wang, and Toby Jia-Jun Li
Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (CHI 2022)
[Paper PDF] [ACM DL] [Demo Video]

Screen2Vec: Semantic Embedding of GUI Screens and GUI Components
Toby Jia-Jun Li, Lindsay Popowski, Tom M. Mitchell, and Brad A. Myers
Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (CHI 2021)
🏅 Best Paper Honorable Mention Award
[Paper PDF] [ACM DL] [GitHub]

Multi-Modal Repairs of Conversational Breakdowns in Task-Oriented Dialogs
Toby Jia-Jun Li, Jingya Chen, Haijun Xia, Tom M. Mitchell, and Brad A. Myers
Proceedings of the ACM Symposium on User Interface Software and Technology (UIST 2020)
🏆 Best Paper Award
[Paper PDF] [ACM DL] [Demo Video] [Talk Video]

Geno: A Developer Tool for Authoring Multimodal Interaction on Existing Web Applications
Ritam Sarmah, Yunpeng Ding, Di Wang, Cheuk Yin Phipson Lee, Toby Jia-Jun Li, and Xiang ‘Anthony’ Chen
Proceedings of the ACM Symposium on User Interface Software and Technology (UIST 2020)
[Paper PDF] [ACM DL] [Demo Video]

Privacy-Preserving Script Sharing in GUI-based Programming-by-Demonstration Systems
Toby Jia-Jun Li, Jingya Chen, Brandon Canfield, and Brad A. Myers
Proceedings of the ACM on Human-Computer Interaction (CSCW 2020)
[Paper PDF] [ACM DL]

Interactive Task Learning from GUI-Grounded Natural Language Instructions and Demonstrations
Toby Jia-Jun Li, Tom Mitchell, and Brad A. Myers
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020): System Demonstrations
[Paper PDF] [ACL Anthology] [Talk Video]

PUMICE: A Multi-Modal Agent that Learns Concepts and Conditionals from Natural Language and Demonstrations
Toby Jia-Jun Li, Marissa Radensky, Justin Jia, Kirielle Singarajah, Tom M. Mitchell, and Brad A. Myers
Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology (UIST 2019)
[Paper PDF] [ACM DL] [Demo Video] [Talk Video]

APPINITE: A Multi-Modal Interface for Specifying Data Descriptions in Programming by Demonstration Using Natural Language Instructions
Toby Jia-Jun Li, Igor Labutov, Xiaohan Nancy Li, Xiaoyi Zhang, Wenze Shi, Wanling Ding, Tom M. Mitchell, and Brad A. Myers
Proceedings of the 2018 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC 2018)
[Paper PDF] [IEEE Xplore] [Demo Video]

KITE: Building conversational bots from mobile apps
Toby Jia-Jun Li and Oriana Riva
Proceedings of the 16th ACM International Conference on Mobile Systems, Applications, and Services (MobiSys 2018)
[Paper PDF] [ACM DL] [Talk Video]

PrivacyStreams: Enabling Transparency in Personal Data Processing for Mobile Apps
Yuanchun Li, Fanglin Chen, Toby Jia-jun Li, Yao Guo, Gang Huang, Matthew Fredrikson, Yuvraj Agarwal, and Jason I. Hong
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (PACM IMWUT / UbiComp 2017)
[Paper PDF] [ACM DL] [Website]

Programming IoT Devices by Demonstration Using Mobile Apps
Toby Jia-Jun Li, Yuanchun Li, Fanglin Chen, and Brad A. Myers
Proceedings of the International Symposium on End User Development (IS-EUD 2017)
🏆 Best Paper Award
[Paper PDF] [SpringerLink]

SUGILITE: Creating Multimodal Smartphone Automation by Demonstration
Toby Jia-Jun Li, Amos Azaria, and Brad A. Myers
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (CHI 2017)
🏅 Best Paper Honorable Mention Award
[Paper PDF] [ACM DL] [Demo Video] [GitHub]

Not at Home on the Range: Peer Production and the Urban/Rural Divide
Isaac Johnson, Yilun Lin, Toby Jia-Jun Li, Andrew Hall, Aaron Halfaker, Johannes Schöning, and Brent Hecht
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (CHI 2016)
[Paper PDF] [ACM DL]

Leveraging Advances in Natural Language Processing to Better Understand Tobler’s First Law of Geography
Toby Jia-Jun Li, Shilad Sen, and Brent Hecht
Proceedings of the ACM Conference on Advances in Geographic Information Systems (SIGSPATIAL 2014)
[Paper PDF] [ACM DL]

WikiBrain: Democratizing Computation on Wikipedia
Shilad Sen, Toby Jia-Jun Li, WikiBrain Team, and Brent Hecht
Proceedings of the 10th International Symposium on Open Collaboration (OpenSym / WikiSym 2014)
[Paper PDF] [ACM DL]