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Toby Jia-Jun Li

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affiliation: University of Notre Dame, USA

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2020 – today

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2024
[j7]
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Long Ling, Xinyi Chen, Ruoyu Wen, Toby Jia-Jun Li, Ray LC:
Sketchar: Supporting Character Design and Illustration Prototyping Using Generative AI. Proc. ACM Hum. Comput. Interact. 8(CHI): 1-28 (2024)
[j6]
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Yuwen Lu, Chao Zhang, Yuewen Yang, Yaxing Yao, Toby Jia-Jun Li:
From Awareness to Action: Exploring End-User Empowerment Interventions for Dark Patterns in UX. Proc. ACM Hum. Comput. Interact. 8(CSCW1): 1-41 (2024)
[j5]
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Yifan Zhang, Jiliang Li, Zachary Karas, Aakash Bansal, Toby Jia-Jun Li, Collin McMillan, Kevin Leach, Yu Huang:
EyeTrans: Merging Human and Machine Attention for Neural Code Summarization. Proc. ACM Softw. Eng. 1(FSE): 115-136 (2024)
[j4]
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Zheng Ning, Yuan Tian, Zheng Zhang, Tianyi Zhang, Toby Jia-Jun Li:
Insights into Natural Language Database Query Errors: from Attention Misalignment to User Handling Strategies. ACM Trans. Interact. Intell. Syst. 14(4): 25:1-25:32 (2024)
[j3]
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Zachary Karas, Aakash Bansal, Yifan Zhang, Toby Jia-Jun Li, Collin McMillan, Yu Huang:
A Tale of Two Comprehensions? Analyzing Student Programmer Attention during Code Summarization. ACM Trans. Softw. Eng. Methodol. 33(7): 193:1-193:37 (2024)
[c48]
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Zheng Ning, Zheng Zhang, Jerrick Ban, Kaiwen Jiang, Ruohong Gan, Yapeng Tian, Toby Jia-Jun Li:
MIMOSA: Human-AI Co-Creation of Computational Spatial Audio Effects on Videos. Creativity & Cognition 2024: 156-169
[c47]
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Ruyuan Wan, Simret Araya Gebreegziabher, Toby Jia-Jun Li, Karla Badillo-Urquiola:
CoCo Matrix: Taxonomy of Cognitive Contributions in Co-writing with Intelligent Agents. Creativity & Cognition 2024: 504-511
[c46]
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Jie Gao, Yuchen Guo, Gionnieve Lim, Tianqin Zhang, Zheng Zhang, Toby Jia-Jun Li, Simon Tangi Perrault:
CollabCoder: A Lower-barrier, Rigorous Workflow for Inductive Collaborative Qualitative Analysis with Large Language Models. CHI 2024: 11:1-11:29
[c45]
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Jie Gao, Simret Araya Gebreegziabher, Kenny Tsu Wei Choo, Toby Jia-Jun Li, Simon Tangi Perrault, Thomas W. Malone:
A Taxonomy for Human-LLM Interaction Modes: An Initial Exploration. CHI Extended Abstracts 2024: 24:1-24:11
[c44]
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  - conf/chi/ChenLS0YL24
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Chaoran Chen, Weijun Li, Wenxin Song, Yanfang Ye, Yaxing Yao, Toby Jia-Jun Li:
An Empathy-Based Sandbox Approach to Bridge the Privacy Gap among Attitudes, Goals, Knowledge, and Behaviors. CHI 2024: 234:1-234:28
[c43]
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Yue Jiang, Yuwen Lu, Tiffany Knearem, Clara E. Kliman-Silver, Christof Lutteroth, Toby Jia-Jun Li, Jeffrey Nichols, Wolfgang Stuerzlinger:
Computational Methodologies for Understanding, Automating, and Evaluating User Interfaces. CHI Extended Abstracts 2024: 462:1-462:7
[c42]
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Sangho Suh, Meng Chen, Bryan Min, Toby Jia-Jun Li, Haijun Xia:
Luminate: Structured Generation and Exploration of Design Space with Large Language Models for Human-AI Co-Creation. CHI 2024: 644:1-644:26
[c41]
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Zheng Ning, Brianna L. Wimer, Kaiwen Jiang, Keyi Chen, Jerrick Ban, Yapeng Tian, Yuhang Zhao, Toby Jia-Jun Li:
SPICA: Interactive Video Content Exploration through Augmented Audio Descriptions for Blind or Low-Vision Viewers. CHI 2024: 902:1-902:18
[c40]
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  - conf/cscw/PrpaTYLWG24
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Mirjana Prpa, Giovanni Maria Troiano, Bingsheng Yao, Toby Jia-Jun Li, Dakuo Wang, Hansu Gu:
Challenges and Opportunities of LLM-Based Synthetic Personae and Data in HCI. CSCW Companion 2024: 716-719
[c39]
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  - conf/icse/TangACB0ML24
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Ningzhi Tang, Junwen An, Meng Chen, Aakash Bansal, Yu Huang, Collin McMillan, Toby Jia-Jun Li:
CodeGRITS: A Research Toolkit for Developer Behavior and Eye Tracking in IDE. ICSE Companion 2024: 119-123
[c38]
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  - conf/mobicom/0004LLZYLJLZL24
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Hao Wen, Yuanchun Li, Guohong Liu, Shanhui Zhao, Tao Yu, Toby Jia-Jun Li, Shiqi Jiang, Yunhao Liu, Yaqin Zhang, Yunxin Liu:
AutoDroid: LLM-powered Task Automation in Android. MobiCom 2024: 543-557
[c37]
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  - conf/uist/TianKLZ24
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Yuan Tian, Jonathan K. Kummerfeld, Toby Jia-Jun Li, Tianyi Zhang:
SQLucid: Grounding Natural Language Database Queries with Interactive Explanations. UIST 2024: 12:1-12:20
[c36]
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Simret Araya Gebreegziabher, Elena L. Glassman, Toby Jia-Jun Li:
MOCHA: Model Optimization through Collaborative Human-AI Alignment. UIST (Adjunct Volume) 2024: 36:1-36:4
[c35]
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  - conf/vl/TangCNBHML24
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Ningzhi Tang, Meng Chen, Zheng Ning, Aakash Bansal, Yu Huang, Collin McMillan, Toby Jia-Jun Li:
Developer Behaviors in Validating and Repairing LLM-Generated Code Using IDE and Eye Tracking. VL/HCC 2024: 40-46
[i46]
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  - journals/corr/abs-2402-06089
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Yuwen Lu, Yuewen Yang, Qinyi Zhao, Chengzhi Zhang, Toby Jia-Jun Li:
AI Assistance for UX: A Literature Review Through Human-Centered AI. CoRR abs/2402.06089 (2024)
[i45]
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  - journals/corr/abs-2402-07300
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Zheng Ning, Brianna L. Wimer, Kaiwen Jiang, Keyi Chen, Jerrick Ban, Yapeng Tian, Yuhang Zhao, Toby Jia-Jun Li:
SPICA: Interactive Video Content Exploration through Augmented Audio Descriptions for Blind or Low-Vision Viewers. CoRR abs/2402.07300 (2024)
[i44]
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  - journals/corr/abs-2402-14096
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Yifan Zhang, Jiliang Li, Zachary Karas, Aakash Bansal, Toby Jia-Jun Li, Collin McMillan, Kevin Leach, Yu Huang:
EyeTrans: Merging Human and Machine Attention for Neural Code Summarization. CoRR abs/2402.14096 (2024)
[i43]
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  - journals/corr/abs-2403-19876
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Shivani Kapania, Ruiyi Wang, Toby Jia-Jun Li, Tianshi Li, Hong Shen:
"I'm categorizing LLM as a productivity tool": Examining ethics of LLM use in HCI research practices. CoRR abs/2403.19876 (2024)
[i42]
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  - journals/corr/abs-2404-00405
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Jie Gao, Simret Araya Gebreegziabher, Kenny Tsu Wei Choo, Toby Jia-Jun Li, Simon Tangi Perrault, Thomas W. Malone:
A Taxonomy for Human-LLM Interaction Modes: An Initial Exploration. CoRR abs/2404.00405 (2024)
[i41]
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  - journals/corr/abs-2404-15107
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Zheng Ning, Zheng Zhang, Jerrick Ban, Kaiwen Jiang, Ruohong Gan, Yapeng Tian, Toby Jia-Jun Li:
MIMOSA: Human-AI Co-Creation of Computational Spatial Audio Effects on Videos. CoRR abs/2404.15107 (2024)
[i40]
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  - journals/corr/abs-2405-12438
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Ruyuan Wan, Simret Araya Gebreegziabher, Toby Jia-Jun Li, Karla A. Badillo-Urquiola:
CoCo Matrix: Taxonomy of Cognitive Contributions in Co-writing with Intelligent Agents. CoRR abs/2405.12438 (2024)
[i39]
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  - journals/corr/abs-2405-16081
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Ningzhi Tang, Meng Chen, Zheng Ning, Aakash Bansal, Yu Huang, Collin McMillan, Toby Jia-Jun Li:
A Study on Developer Behaviors for Validating and Repairing LLM-Generated Code Using Eye Tracking and IDE Actions. CoRR abs/2405.16081 (2024)
[i38]
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  - journals/corr/abs-2405-18573
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Aakash Bansal, Robert Wallace, Zachary Karas, Ningzhi Tang, Yu Huang, Toby Jia-Jun Li, Collin McMillan:
Programmer Visual Attention During Context-Aware Code Summarization. CoRR abs/2405.18573 (2024)
[i37]
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  - journals/corr/abs-2406-16173
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Yuwen Lu, Meng Chen, Qi Zhao, Victor V. Cox, Yang Yang, Meng Jiang, Jay Brockman, Tamara Kay, Toby Jia-Jun Li:
Crepe: A Mobile Screen Data Collector Using Graph Query. CoRR abs/2406.16173 (2024)
[i36]
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  - journals/corr/abs-2406-16177
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Yuwen Lu, Ziang Tong, Qinyi Zhao, Yewon Oh, Bryan Wang, Toby Jia-Jun Li:
Flowy: Supporting UX Design Decisions Through AI-Driven Pattern Annotation in Multi-Screen User Flows. CoRR abs/2406.16177 (2024)
[i35]
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  - journals/corr/abs-2408-03819
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Simret Araya Gebreegziabher, Kuangshi Ai, Zheng Zhang, Elena L. Glassman, Toby Jia-Jun Li:
Leveraging Variation Theory in Counterfactual Data Augmentation for Optimized Active Learning. CoRR abs/2408.03819 (2024)
[i34]
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  - journals/corr/abs-2408-09006
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Chia-Yi Su, Aakash Bansal, Yu Huang, Toby Jia-Jun Li, Collin McMillan:
Context-aware Code Summary Generation. CoRR abs/2408.09006 (2024)
[i33]
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  - journals/corr/abs-2409-06178
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Yuan Tian, Jonathan K. Kummerfeld, Toby Jia-Jun Li, Tianyi Zhang:
SQLucid: Grounding Natural Language Database Queries with Interactive Explanations. CoRR abs/2409.06178 (2024)
[i32]
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  - journals/corr/abs-2409-13968
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Zheng Zhang, Weirui Peng, Xinyue Chen, Luke Cao, Toby Jia-Jun Li:
LADICA: A Large Shared Display Interface for Generative AI Cognitive Assistance in Co-Located Team Collaboration. CoRR abs/2409.13968 (2024)
[i31]
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  - journals/corr/abs-2409-16561
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Simret Araya Gebreegziabher, Yukun Yang, Elena L. Glassman, Toby Jia-Jun Li:
Supporting Co-Adaptive Machine Teaching through Human Concept Learning and Cognitive Theories. CoRR abs/2409.16561 (2024)
[i30]
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  - journals/corr/abs-2410-02054
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Annalisa Szymanski, Simret Araya Gebreegziabher, Oghenemaro Anuyah, Ronald A. Metoyer, Toby Jia-Jun Li:
Comparing Criteria Development Across Domain Experts, Lay Users, and Models in Large Language Model Evaluation. CoRR abs/2410.02054 (2024)
[i29]
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  - journals/corr/abs-2410-04917
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Chaoran Chen, Leyang Li, Luke Cao, Yanfang Ye, Tianshi Li, Yaxing Yao, Toby Jia-Jun Li:
Why am I seeing this: Democratizing End User Auditing for Online Content Recommendations. CoRR abs/2410.04917 (2024)
[i28]
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  - journals/corr/abs-2410-07588
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Shang Ma, Chaoran Chen, Shao Yang, Shifu Hou, Toby Jia-Jun Li, Xusheng Xiao, Tao Xie, Yanfang Ye:
Careful About What App Promotion Ads Recommend! Detecting and Explaining Malware Promotion via App Promotion Graph. CoRR abs/2410.07588 (2024)
[i27]
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  - journals/corr/abs-2410-14331
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Songheng Zhang, Lei Wang, Toby Jia-Jun Li, Qiaomu Shen, Yixin Cao, Yong Wang:
ChartifyText: Automated Chart Generation from Data-Involved Texts via LLM. CoRR abs/2410.14331 (2024)
[i26]
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  - journals/corr/abs-2410-20266
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Annalisa Szymanski, Noah Ziems, Heather A. Eicher-Miller, Toby Jia-Jun Li, Meng Jiang, Ronald A. Metoyer:
Limitations of the LLM-as-a-Judge Approach for Evaluating LLM Outputs in Expert Knowledge Tasks. CoRR abs/2410.20266 (2024)
2023
[c34]
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  - conf/chi/GebreegziabherZ23
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Simret Araya Gebreegziabher, Zheng Zhang, Xiaohang Tang, Yihao Meng, Elena L. Glassman, Toby Jia-Jun Li:
PaTAT: Human-AI Collaborative Qualitative Coding with Explainable Interactive Rule Synthesis. CHI 2023: 362:1-362:19
[c33]
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Yue Jiang, Yuwen Lu, Christof Lutteroth, Toby Jia-Jun Li, Jeffrey Nichols, Wolfgang Stuerzlinger:
The Future of Computational Approaches for Understanding and Adapting User Interfaces. CHI Extended Abstracts 2023: 367:1-367:5
[c32]
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  - conf/cscw/GaoGLP23
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Jie Gao, Yuchen Guo, Toby Jia-Jun Li, Simon Tangi Perrault:
CollabCoder: A GPT-Powered WorkFlow for Collaborative Qualitative Analysis. CSCW Companion 2023: 354-357
[c31]
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  - conf/cscw/ShenLLPY23
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Hong Shen, Tianshi Li, Toby Jia-Jun Li, Joon Sung Park, Diyi Yang:
Shaping the Emerging Norms of Using Large Language Models in Social Computing Research. CSCW Companion 2023: 569-571
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Gionnieve Lim, Hyunwoo Kim, Yoonseo Choi, Toby Jia-Jun Li, Chinmay Kulkarni, Hariharan Subramonyam, Joseph Seering, Michael S. Bernstein, Amy X. Zhang, Elena L. Glassman, Simon T. Perrault, Juho Kim:
Designing for AI-Powered Social Computing Systems. CSCW Companion 2023: 572-575
[c29]
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  - conf/emnlp/TianZNLK023
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Yuan Tian, Zheng Zhang, Zheng Ning, Toby Jia-Jun Li, Jonathan K. Kummerfeld, Tianyi Zhang:
Interactive Text-to-SQL Generation via Editable Step-by-Step Explanations. EMNLP 2023: 16149-16166
[c28]
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  - conf/iui/GoyalHMLLW23
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Nitesh Goyal, Sungsoo Ray Hong, Regan L. Mandryk, Toby Jia-Jun Li, Kurt Luther, Dakuo Wang:
SHAI 2023: Workshop on Designing for Safety in Human-AI Interactions. IUI Companion 2023: 199-201
[c27]
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Zheng Ning, Zheng Zhang, Tianyi Sun, Yuan Tian, Tianyi Zhang, Toby Jia-Jun Li:
An Empirical Study of Model Errors and User Error Discovery and Repair Strategies in Natural Language Database Queries. IUI 2023: 633-649
[c26]
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Aakash Bansal, Chia-Yi Su, Zachary Karas, Yifan Zhang, Yu Huang, Toby Jia-Jun Li, Collin McMillan:
Modeling Programmer Attention as Scanpath Prediction. ASE 2023: 1732-1736
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Zheng Zhang, Jie Gao, Ranjodh Singh Dhaliwal, Toby Jia-Jun Li:
VISAR: A Human-AI Argumentative Writing Assistant with Visual Programming and Rapid Draft Prototyping. UIST 2023: 5:1-5:30
[c24]
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Zheng Zhang, Zheng Ning, Chenliang Xu, Yapeng Tian, Toby Jia-Jun Li:
PEANUT: A Human-AI Collaborative Tool for Annotating Audio-Visual Data. UIST 2023: 17:1-17:18
[i25]
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Jie Gao, Yuchen Guo, Gionnieve Lim, Tianqin Zhang, Zheng Zhang, Toby Jia-Jun Li, Simon Tangi Perrault:
CollabCoder: A GPT-Powered Workflow for Collaborative Qualitative Analysis. CoRR abs/2304.07366 (2023)
[i24]
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Zheng Zhang, Jie Gao, Ranjodh Singh Dhaliwal, Toby Jia-Jun Li:
VISAR: A Human-AI Argumentative Writing Assistant with Visual Programming and Rapid Draft Prototyping. CoRR abs/2304.07810 (2023)
[i23]
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Yuan Tian, Toby Jia-Jun Li, Jonathan K. Kummerfeld, Tianyi Zhang:
Interactive Text-to-SQL Generation via Editable Step-by-Step Explanations. CoRR abs/2305.07372 (2023)
[i22]
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Hong Shen, Tianshi Li, Toby Jia-Jun Li, Joon Sung Park, Diyi Yang:
Shaping the Emerging Norms of Using Large Language Models in Social Computing Research. CoRR abs/2307.04280 (2023)
[i21]
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Zheng Zhang, Zheng Ning, Chenliang Xu, Yapeng Tian, Toby Jia-Jun Li:
PEANUT: A Human-AI Collaborative Tool for Annotating Audio-Visual Data. CoRR abs/2307.15167 (2023)
[i20]
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Aakash Bansal, Chia-Yi Su, Zachary Karas, Yifan Zhang, Yu Huang, Toby Jia-Jun Li, Collin McMillan:
Modeling Programmer Attention as Scanpath Prediction. CoRR abs/2308.13920 (2023)
[i19]
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Hao Wen, Yuanchun Li, Guohong Liu, Shanhui Zhao, Tao Yu, Toby Jia-Jun Li, Shiqi Jiang, Yunhao Liu, Yaqin Zhang, Yunxin Liu:
Empowering LLM to use Smartphone for Intelligent Task Automation. CoRR abs/2308.15272 (2023)
[i18]
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Jie Gao, Junming Cao, ShunYi Yeo, Kenny Tsu Wei Choo, Zheng Zhang, Toby Jia-Jun Li, Shengdong Zhao, Simon Tangi Perrault:
Impact of Human-AI Interaction on User Trust and Reliance in AI-Assisted Qualitative Coding. CoRR abs/2309.13858 (2023)
[i17]
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Chaoran Chen, Weijun Li, Wenxin Song, Yanfang Ye, Yaxing Yao, Toby Jia-Jun Li:
An Empathy-Based Sandbox Approach to Bridge Attitudes, Goals, Knowledge, and Behaviors in the Privacy Paradox. CoRR abs/2309.14510 (2023)
[i16]
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Sangho Suh, Meng Chen, Bryan Min, Toby Jia-Jun Li, Haijun Xia:
Structured Generation and Exploration of Design Space with Large Language Models for Human-AI Co-Creation. CoRR abs/2310.12953 (2023)
[i15]
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Yuwen Lu, Ziang Tong, Qinyi Zhao, Chengzhi Zhang, Toby Jia-Jun Li:
UI Layout Generation with LLMs Guided by UI Grammar. CoRR abs/2310.15455 (2023)
[i14]
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Yuwen Lu, Chao Zhang, Yuewen Yang, Yaxing Yao, Toby Jia-Jun Li:
From Awareness to Action: Exploring End-User Empowerment Interventions for Dark Patterns in UX. CoRR abs/2310.17846 (2023)
[i13]
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Yuxuan Lu, Bingsheng Yao, Shao Zhang, Yun Wang, Peng Zhang, Tun Lu, Toby Jia-Jun Li, Dakuo Wang:
Human Still Wins over LLM: An Empirical Study of Active Learning on Domain-Specific Annotation Tasks. CoRR abs/2311.09825 (2023)
2022
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Ying Xu, Dakuo Wang, Mo Yu, Daniel Ritchie, Bingsheng Yao, Tongshuang Wu, Zheng Zhang, Toby Jia-Jun Li, Nora Bradford, Branda Sun, Tran Bao Hoang, Yisi Sang, Yufang Hou, Xiaojuan Ma, Diyi Yang, Nanyun Peng, Zhou Yu, Mark Warschauer:
Fantastic Questions and Where to Find Them: FairytaleQA - An Authentic Dataset for Narrative Comprehension. ACL (1) 2022: 447-460
[c22]
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Bingsheng Yao, Dakuo Wang, Tongshuang Wu, Zheng Zhang, Toby Jia-Jun Li, Mo Yu, Ying Xu:
It is AI's Turn to Ask Humans a Question: Question-Answer Pair Generation for Children's Story Books. ACL (1) 2022: 731-744
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Yue Jiang, Yuwen Lu, Jeffrey Nichols, Wolfgang Stuerzlinger, Chun Yu, Christof Lutteroth, Yang Li, Ranjitha Kumar, Toby Jia-Jun Li:
Computational Approaches for Understanding, Generating, and Adapting User Interfaces. CHI Extended Abstracts 2022: 74:1-74:6
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Zheng Zhang, Ying Xu, Yanhao Wang, Bingsheng Yao, Daniel Ritchie, Tongshuang Wu, Mo Yu, Dakuo Wang, Toby Jia-Jun Li:
StoryBuddy: A Human-AI Collaborative Chatbot for Parent-Child Interactive Storytelling with Flexible Parental Involvement. CHI 2022: 218:1-218:21
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Yuwen Lu, Chengzhi Zhang, Iris Zhang, Toby Jia-Jun Li:
Bridging the Gap Between UX Practitioners' Work Practices and AI-Enabled Design Support Tools. CHI Extended Abstracts 2022: 268:1-268:7
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Toby Jia-Jun Li, Yuwen Lu, Jaylexia Clark, Meng Chen, Victor V. Cox, Meng Jiang, Yang Yang, Tamara Kay, Danielle M. Wood, Jay Brockman:
A Bottom-Up End-User Intelligent Assistant Approach to Empower Gig Workers against AI Inequality. CHIWORK 2022: 9:1-9:10
[c17]
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Daijin Yang, Yanpeng Zhou, Zhiyuan Zhang, Toby Jia-Jun Li, Ray LC:
AI as an Active Writer: Interaction Strategies with Generated Text in Human-AI Collaborative Fiction Writing 56-65. IUI Workshops 2022: 56-65
[i12]
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Zheng Zhang, Ying Xu, Yanhao Wang, Bingsheng Yao, Daniel Ritchie, Tongshuang Wu, Mo Yu, Dakuo Wang, Toby Jia-Jun Li:
StoryBuddy: A Human-AI Collaborative Chatbot for Parent-Child Interactive Storytelling with Flexible Parental Involvement. CoRR abs/2202.06205 (2022)
[i11]
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Ying Xu, Dakuo Wang, Mo Yu, Daniel Ritchie, Bingsheng Yao, Tongshuang Wu, Zheng Zhang, Toby Jia-Jun Li, Nora Bradford, Branda Sun, Tran Bao Hoang, Yisi Sang, Yufang Hou, Xiaojuan Ma, Diyi Yang, Nanyun Peng, Zhou Yu, Mark Warschauer:
Fantastic Questions and Where to Find Them: FairytaleQA - An Authentic Dataset for Narrative Comprehension. CoRR abs/2203.13947 (2022)
[i10]
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Toby Jia-Jun Li, Yuwen Lu, Jaylexia Clark, Meng Chen, Victor V. Cox, Meng Jiang, Yang Yang, Tamara Kay, Danielle M. Wood, Jay Brockman:
A Bottom-Up End-User Intelligent Assistant Approach to Empower Gig Workers against AI Inequality. CoRR abs/2204.13842 (2022)
[i9]
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Shao Zhang, Yuting Jia, Hui Xu, Dakuo Wang, Toby Jia-Jun Li, Ying Wen, Xinbing Wang, Chenghu Zhou:
KnowledgeShovel: An AI-in-the-Loop Document Annotation System for Scientific Knowledge Base Construction. CoRR abs/2210.02830 (2022)
2021
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Toby Jia-Jun Li, Lindsay Popowski, Tom M. Mitchell, Brad A. Myers:
Screen2Vec: Semantic Embedding of GUI Screens and GUI Components. CHI 2021: 578:1-578:15
[i8]
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Toby Jia-Jun Li, Lindsay Popowski, Tom M. Mitchell, Brad A. Myers:
Screen2Vec: Semantic Embedding of GUI Screens and GUI Components. CoRR abs/2101.11103 (2021)
[i7]
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  - journals/corr/abs-2105-10127
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Toby Jia-Jun Li, Brad A. Myers:
A Need-finding Study for Understanding Text Entry in SmartphoneApp Usage. CoRR abs/2105.10127 (2021)
[i6]
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Bingsheng Yao, Dakuo Wang, Tongshuang Wu, Tran Bao Hoang, Branda Sun, Toby Jia-Jun Li, Mo Yu, Ying Xu:
It is AI's Turn to Ask Human a Question: Question and Answer Pair Generation for Children Storybooks in FairytaleQA Dataset. CoRR abs/2109.03423 (2021)
2020
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Toby Jia-Jun Li, Jingya Chen, Brandon Canfield, Brad A. Myers:
Privacy-Preserving Script Sharing in GUI-based Programming-by-Demonstration Systems. Proc. ACM Hum. Comput. Interact. 4(CSCW): 060:1-060:23 (2020)
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Toby Jia-Jun Li, Tom M. Mitchell, Brad A. Myers:
Interactive Task Learning from GUI-Grounded Natural Language Instructions and Demonstrations. ACL (demo) 2020: 215-223
[c14]
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Toby Jia-Jun Li:
Multi-Modal Interactive Task Learning from Demonstrations and Natural Language Instructions. UIST (Adjunct Volume) 2020: 162-168
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Toby Jia-Jun Li, Jingya Chen, Haijun Xia, Tom M. Mitchell, Brad A. Myers:
Multi-Modal Repairs of Conversational Breakdowns in Task-Oriented Dialogs. UIST 2020: 1094-1107
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Ritam Jyoti Sarmah, Yunpeng Ding, Di Wang, Cheuk Yin Phipson Lee, Toby Jia-Jun Li, Xiang 'Anthony' Chen:
Geno: A Developer Tool for Authoring Multimodal Interaction on Existing Web Applications. UIST 2020: 1169-1181
[i5]
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  - journals/corr/abs-2003-02622
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Toby Jia-Jun Li, Jingya Chen, Tom M. Mitchell, Brad A. Myers:
Towards Effective Human-AI Collaboration in GUI-Based Interactive Task Learning Agents. CoRR abs/2003.02622 (2020)
[i4]
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Toby Jia-Jun Li, Jingya Chen, Brandon Canfield, Brad A. Myers:
Privacy-Preserving Script Sharing in GUI-based Programming-by-Demonstration Systems. CoRR abs/2004.08353 (2020)
[i3]
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Ritam Jyoti Sarmah, Yunpeng Ding, Di Wang, Cheuk Yin Phipson Lee, Toby Jia-Jun Li, Xiang 'Anthony' Chen:
Geno: A Developer Tool for Authoring Multimodal Interaction on Existing Web Applications. CoRR abs/2007.09809 (2020)

2010 – 2019

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2019
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Toby Jia-Jun Li:
End user programing of intelligent agents using demonstrations and natural language instructions. IUI Companion 2019: 143-144
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Toby Jia-Jun Li, Marissa Radensky, Justin Jia, Kirielle Singarajah, Tom M. Mitchell, Brad A. Myers:
PUMICE: A Multi-Modal Agent that Learns Concepts and Conditionals from Natural Language and Demonstrations. UIST 2019: 577-589
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Isaac L. Johnson, Allen Yilun Lin, Toby Jia-Jun Li, Andrew Hall, Aaron Halfaker, Johannes Schöning, Brent J. Hecht:
Not at Home on the Range: Peer Production and the Urban/Rural Divide. CoRR abs/1908.10954 (2019)
[i1]
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Toby Jia-Jun Li, Marissa Radensky, Justin Jia, Kirielle Singarajah, Tom M. Mitchell, Brad A. Myers:
PUMICE: A Multi-Modal Agent that Learns Concepts and Conditionals from Natural Language and Demonstrations. CoRR abs/1909.00031 (2019)
2018
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Toby Jia-Jun Li, Oriana Riva:
Kite: Building Conversational Bots from Mobile Apps. MobiSys 2018: 96-109
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Toby Jia-Jun Li, Igor Labutov, Xiaohan Nancy Li, Xiaoyi Zhang, Wenze Shi, Wanling Ding, Tom M. Mitchell, Brad A. Myers:
APPINITE: A Multi-Modal Interface for Specifying Data Descriptions in Programming by Demonstration Using Natural Language Instructions. VL/HCC 2018: 105-114
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Marissa Radensky, Toby Jia-Jun Li, Brad A. Myers:
How End Users Express Conditionals in Programming by Demonstration for Mobile Apps. VL/HCC 2018: 311-312
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Toby Jia-Jun Li, Igor Labutov, Brad A. Myers, Amos Azaria, Alexander I. Rudnicky, Tom M. Mitchell:
Teaching Agents When They Fail: End User Development in Goal-Oriented Conversational Agents. Studies in Conversational UX Design 2018: 119-137
2017
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Yuanchun Li, Fanglin Chen, Toby Jia-Jun Li, Yao Guo, Gang Huang, Matthew Fredrikson, Yuvraj Agarwal, Jason I. Hong:
PrivacyStreams: Enabling Transparency in Personal Data Processing for Mobile Apps. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1(3): 76:1-76:26 (2017)
[c6]
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Toby Jia-Jun Li, Amos Azaria, Brad A. Myers:
SUGILITE: Creating Multimodal Smartphone Automation by Demonstration. CHI 2017: 6038-6049
[c5]
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Toby Jia-Jun Li, Yuanchun Li, Fanglin Chen, Brad A. Myers:
Programming IoT Devices by Demonstration Using Mobile Apps. IS-EUD 2017: 3-17
[c4]
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Toby Jia-Jun Li:
End user mobile task automation using multimodal programming by demonstration. VL/HCC 2017: 323-324
[p1]
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Brad A. Myers, Amy J. Ko, Chris Scaffidi, Stephen Oney, YoungSeok Yoon, Kerry Shih-Ping Chang, Mary Beth Kery, Toby Jia-Jun Li:
Making End User Development More Natural. New Perspectives in End-User Development 2017: 1-22
2016
[c3]
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Isaac L. Johnson, Yilun Lin, Toby Jia-Jun Li, Andrew Hall, Aaron Halfaker, Johannes Schöning, Brent J. Hecht:
Not at Home on the Range: Peer Production and the Urban/Rural Divide. CHI 2016: 13-25
2014
[c2]
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  - conf/gis/LiSH14
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Toby Jia-Jun Li, Shilad Sen, Brent J. Hecht:
Leveraging advances in natural language processing to better understand Tobler's first law of geography. SIGSPATIAL/GIS 2014: 513-516
[c1]
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  - conf/wikis/SenLTH14
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Shilad Sen, Toby Jia-Jun Li, WikiBrain Team, Brent J. Hecht:
WikiBrain: Democratizing computation on Wikipedia. OpenSym 2014: 27:1-27:10

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