| 2026 | CHI | Dark Patterns Meet GUI Agents: LLM Agent Susceptibility to Manipulative Interfaces and the Role of Human Oversight. | Jingyu Tang, Chaoran Chen, Jiawen Li, Zhiping Zhang, Bingcan Guo, Ibrahim Khalilov, Simret Araya Gebreegziabher, Bingsheng Yao, Dakuo Wang, Yanfang Ye, Tianshi Li, Ziang Xiao, Yaxing Yao, Toby Jia-Jun Li |
| 2026 | CHI | Through the Lens of Human-Human Collaboration: An Configurable Research Platform for Exploring Human-Agent Collaboration. | Bingsheng Yao, Jiaju Chen, Chaoran Chen, April Yi Wang, Toby Jia-Jun Li, Dakuo Wang |
| 2026 | CHI | From Human-Human Collaboration to Human-Agent Collaboration: A Vision, Design Philosophy, and an Empirical Framework for Achieving Successful Partnerships Between Humans and LLM Agents. | Bingsheng Yao, Chaoran Chen, April Yi Wang, Tongshuang Wu, Toby Jia-Jun Li, Dakuo Wang |
| 2026 | CHI | My Favorite Streamer is an LLM: Discovering, Bonding, and Co-Creating in AI VTuber Fandom. | Jiayi Ye, Chaoran Chen, Yue Huang, Yanfang Ye, Toby Jia-Jun Li, Xiangliang Zhang |
| 2026 | IUI | EvalAgent: Interactive Comparative Evaluation of Computer-Using GUI Agents. | Yukun Yang, Simret Araya Gebreegziabher, Hojun Yoo, Charles Chiang, Chaoran Chen, Annalisa Szymanski, Hyo Jin Do, Zahra Ashktorab, Werner Geyer, Diego Gmez-Zar, Toby Jia-Jun Li |
| 2026 | IUI | The Behavioral Fabric of LLM-Powered GUI Agents: Human Values and Interaction Outcomes. | Simret Araya Gebreegziabher, Yukun Yang, Charles Chiang, Hojun Yoo, Chaoran Chen, Hyo Jin Do, Zahra Ashktorab, Werner Geyer, Diego Gmez-Zar, Toby Jia-Jun Li |
| 2025 | ACL | Towards a Design Guideline for RPA Evaluation: A Survey of Large Language Model-Based Role-Playing Agents. | Chaoran Chen, Bingsheng Yao, Ruishi Zou, Wenyue Hua, Weimin Lyu, Toby Jia-Jun Li, Dakuo Wang |
| 2025 | IUI | CLEAR: Towards Contextual LLM-Empowered Privacy Policy Analysis and Risk Generation for Large Language Model Applications. | Chaoran Chen, Daodao Zhou, Yanfang Ye, Toby Jia-Jun Li, Yaxing Yao |
| 2025 | NDSS | 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, Yanfang Ye |
| 2025 | UIST | Why am I seeing this: Democratizing End User Auditing for Online Content Recommendations. | Chaoran Chen, Leyang Li, Luke Cao, Yanfang Ye, Tianshi Li, Yaxing Yao, Toby Jia-Jun Li |
| 2024 | CHI | 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, Toby Jia-Jun Li |
| 2023 | ICASSP | Learnt Mutual Feature Compression for Machine Vision. | Tie Liu, Mai Xu, Shengxi Li, Chaoran Chen, Li Yang, Zhuoyi Lv |
| 2022 | UIST | ARDW: An Augmented Reality Workbench for Printed Circuit Board Debugging. | Ishan Chatterjee, Tadeusz Pforte, Aspen Tng, Farshid Salemi Parizi, Chaoran Chen, Shwetak N. Patel |
| 2021 | CHI | Patterns for Representing Knowledge Graphs to Communicate Situational Knowledge of Service Robots. | Shengchen Zhang, Zixuan Wang, Chaoran Chen, Yi Dai, Lyumanshan Ye, Xiaohua Sun |
| 2021 | DEXA | ContextWalk: Embedding Networks with Context Information Extracted from News Articles. | Chaoran Chen, Mirco Schnfeld, Jrgen Pfeffer |
| 2019 | AAAI | AI-Sketcher : A Deep Generative Model for Producing High-Quality Sketches. | Nan Cao, Xin Yan, Yang Shi, Chaoran Chen |