Weihao Chen

Publications

1. 

   OpenCD: Empowering Diagnosis of Children's Mathematical Cognition through Open-ended Multimodal Tasks

   Zhi Zheng, Chun Yu, Weihao Chen, Minzheng Song, Binglin Liu, Jianyang Liu, Shiyi Wang, Xutong Wang, Jie Cai, Yuanchun Shi

   CHI '26

   OpenCD turns children's open-ended multimodal problem solving, such as drawing and explaining what "46" means, into interpretable cognitive evidence for diagnosing mathematical cognition.

   Paper Video DOI

   Cite

   BibTeX

   Copy

   @inproceedings{opencd,
     author = {Zheng, Zhi and Yu, Chun and Chen, Weihao and Song, Minzheng and Liu, Binglin and Liu, Jianyang and Wang, Shiyi and Wang, Xutong and Cai, Jie and Shi, Yuanchun},
     title = {OpenCD: Empowering Diagnosis of Children's Mathematical Cognition through Open-ended Multimodal Tasks},
     year = {2026},
     isbn = {9798400722783},
     publisher = {Association for Computing Machinery},
     address = {New York, NY, USA},
     url = {https://doi.org/10.1145/3772318.3790318},
     doi = {10.1145/3772318.3790318},
     booktitle = {Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems},
     articleno = {870},
     numpages = {31},
     series = {CHI '26}
   }
   

   ACM Reference

   Copy

   Zhi Zheng, Chun Yu, Weihao Chen, Minzheng Song, Binglin Liu, Jianyang Liu, Shiyi Wang, Xutong Wang, Jie Cai, and Yuanchun Shi. 2026. OpenCD: Empowering Diagnosis of Children's Mathematical Cognition through Open-ended Multimodal Tasks. In Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26). Association for Computing Machinery, New York, NY, USA, Article 870, 1–31. https://doi.org/10.1145/3772318.3790318

2. 

   Supporting Complex Design Processes with Agentic System: A Case Study on Streetscape DesignBest Paper Award Runner Up

   Meizhu Chen, Weihao Chen, Yuqian Li, Yingzhou Gao, Weiguo Xu

   CAADRIA '26

   ChatStreet examines how agentic AI can participate in complex design processes, supporting 20 designers in a workshop across multimodal functional and aesthetic streetscape design tasks.

   Paper

   Cite

   BibTeX

   Copy

   @inproceedings{chatstreet,
     author = {Chen, Meizhu and Chen, Weihao and Li, Yuqian and Gao, Yingzhou and Xu, Weiguo},
     title = {Supporting Complex Design Processes with Agentic System: A Case Study on Streetscape Design},
     booktitle = {Proceedings of the 31st International Conference of the Association for Computer-Aided Architectural Design Research in Asia},
     year = {2026},
     volume = {1},
     pages = {315--324},
     publisher = {Association for Computer-Aided Architectural Design Research in Asia},
     address = {Hong Kong},
     series = {CAADRIA}
   }
   

   ACM Reference

   Copy

   Meizhu Chen, Weihao Chen, Yuqian Li, Yingzhou Gao, and Weiguo Xu. 2026. Supporting Complex Design Processes with Agentic System: A Case Study on Streetscape Design. In Proceedings of the 31st International Conference of the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA). Association for Computer-Aided Architectural Design Research in Asia, Hong Kong, 315–324.

3. 

   EchoMind: Supporting Real-time Complex Problem Discussions through Human-AI Collaborative Facilitation

   Weihao Chen, Chun Yu, Yukun Wang, Meizhu Chen, Yipeng Xu, Yuanchun Shi

   CSCW '25

   EchoMind externalizes live group discussions as evolving issue maps, creating a shared attention space where people and AI can align focus, track ideas, and advance complex reasoning together.

   Paper Video CodeMediumDOI

   Cite

   BibTeX

   Copy

   @article{echomind,
     author = {Chen, Weihao and Yu, Chun and Wang, Yukun and Chen, Meizhu and Xu, Yipeng and Shi, Yuanchun},
     title = {EchoMind: Supporting Real-time Complex Problem Discussions through Human-AI Collaborative Facilitation},
     year = {2025},
     issue_date = {November 2025},
     publisher = {Association for Computing Machinery},
     address = {New York, NY, USA},
     volume = {9},
     number = {7},
     url = {https://doi.org/10.1145/3757587},
     doi = {10.1145/3757587},
     journal = {Proc. ACM Hum.-Comput. Interact.},
     month = oct,
     articleno = {CSCW406},
     numpages = {38},
   }
   

   ACM Reference

   Copy

   Weihao Chen, Chun Yu, Yukun Wang, Meizhu Chen, Yipeng Xu, and Yuanchun Shi. 2025. EchoMind: Supporting Real-time Complex Problem Discussions through Human-AI Collaborative Facilitation. Proc. ACM Hum.-Comput. Interact. 9, 7, Article CSCW406 (November 2025), 38 pages. https://doi.org/10.1145/3757587

4. 

   RingMind: Interpreting Multimodal Behavior from Ring-Based Speech and Gesture using Large Language Models

   Weihao Chen, Yukun Wang, Meizhu Chen, Zhe He

   UbiComp '25 Challenge

   RingMind turns speech and co-speech gestures from a smart ring into multimodal behavioral evidence for LLM-based understanding of human context and intent.

   Paper Video DOI

   Cite

   BibTeX

   Copy

   @inproceedings{ringmind,
     author = {Chen, Weihao and Wang, Yukun and Chen, Meizhu and He, Zhe},
     title = {RingMind: Interpreting Multimodal Behavior from Ring-Based Speech and Gesture using Large Language Models},
     year = {2026},
     isbn = {9798400714771},
     publisher = {Association for Computing Machinery},
     address = {New York, NY, USA},
     url = {https://doi.org/10.1145/3714394.3750592},
     doi = {10.1145/3714394.3750592},
     booktitle = {Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing},
     pages = {605–608},
     numpages = {4},
     location = {Finland},
     series = {UbiComp Companion '25}
   }
   

   ACM Reference

   Copy

   Weihao Chen, Yukun Wang, Meizhu Chen, and Zhe He. 2026. RingMind: Interpreting Multimodal Behavior from Ring-Based Speech and Gesture using Large Language Models. In Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp Companion '25). Association for Computing Machinery, New York, NY, USA, 605–608. https://doi.org/10.1145/3714394.3750592

5. 

   Investigating Context-Aware Collaborative Text Entry on Smartphones using Large Language Models

   Weihao Chen, Yuanchun Shi, Yukun Wang, Weinan Shi, Meizhu Chen, Cheng Gao, Yu Mei, Yeshuang Zhu, Jinchao Zhang, Chun Yu

   CHI '25

   CATIA reveals how AI can infer and align with users' communication goals from everyday smartphone context, enabling context-aware collaborative text entry in a 7-day in-the-wild study with 91.58% goal inference accuracy and 82.36% no-edit acceptance.

   Paper Video DOI

   Cite

   BibTeX

   Copy

   @inproceedings{catia,
     author = {Chen, Weihao and Shi, Yuanchun and Wang, Yukun and Shi, Weinan and Chen, Meizhu and Gao, Cheng and Mei, Yu and Zhu, Yeshuang and Zhang, Jinchao and Yu, Chun},
     title = {Investigating Context-Aware Collaborative Text Entry on Smartphones using Large Language Models},
     year = {2025},
     isbn = {9798400713941},
     publisher = {Association for Computing Machinery},
     address = {New York, NY, USA},
     url = {https://doi.org/10.1145/3706598.3713944},
     doi = {10.1145/3706598.3713944},
     booktitle = {Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems},
     articleno = {1084},
     numpages = {20},
     series = {CHI '25}
   }
   

   ACM Reference

   Copy

   Weihao Chen, Yuanchun Shi, Yukun Wang, Weinan Shi, Meizhu Chen, Cheng Gao, Yu Mei, Yeshuang Zhu, Jinchao Zhang, and Chun Yu. 2025. Investigating Context-Aware Collaborative Text Entry on Smartphones using Large Language Models. In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (CHI '25). Association for Computing Machinery, New York, NY, USA, Article 1084, 1–20. https://doi.org/10.1145/3706598.3713944

6. 

   From Gap to Synergy: Enhancing Contextual Understanding through Human-Machine Collaboration in Personalized Systems

   Weihao Chen, Chun Yu, Huadong Wang, Zheng Wang, Lichen Yang, Yukun Wang, Weinan Shi, Yuanchun Shi

   UIST '23

   LangAware enables people and machines to co-construct shared contextual concepts that bridge everyday descriptions and machine-detectable signals, improving personalized rule-creation success to 87.50% while reducing language repairs.

   Paper Video DOI

   Cite

   BibTeX

   Copy

   @inproceedings{langaware,
     author = {Chen, Weihao and Yu, Chun and Wang, Huadong and Wang, Zheng and Yang, Lichen and Wang, Yukun and Shi, Weinan and Shi, Yuanchun},
     title = {From Gap to Synergy: Enhancing Contextual Understanding through Human-Machine Collaboration in Personalized Systems},
     year = {2023},
     isbn = {9798400701320},
     publisher = {Association for Computing Machinery},
     address = {New York, NY, USA},
     url = {https://doi.org/10.1145/3586183.3606741},
     doi = {10.1145/3586183.3606741},
     booktitle = {Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology},
     articleno = {110},
     numpages = {15},
     location = {San Francisco, CA, USA},
     series = {UIST '23}
   }
   

   ACM Reference

   Copy

   Weihao Chen, Chun Yu, Huadong Wang, Zheng Wang, Lichen Yang, Yukun Wang, Weinan Shi, and Yuanchun Shi. 2023. From Gap to Synergy: Enhancing Contextual Understanding through Human-Machine Collaboration in Personalized Systems. In Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology (UIST '23). Association for Computing Machinery, New York, NY, USA, Article 110, 1–15. https://doi.org/10.1145/3586183.3606741

7. 

   BiTipText: Bimanual Eyes-Free Text Entry on a Fingertip Keyboard

   Zheer Xu, Weihao Chen, Dongyang Zhao, Jiehui Luo, Te-Yen Wu, Jun Gong, Sicheng Yin, Jialun Zhai, Xing-Dong Yang

   CHI '20

   BiTipText turns the hand itself into an eyes-free bimanual keyboard, using behavior modeling to optimize fingertip text entry without relying on visual attention.

   Paper Video DOI

   Cite

   BibTeX

   Copy

   @inproceedings{bitiptext,
     author = {Xu, Zheer and Chen, Weihao and Zhao, Dongyang and Luo, Jiehui and Wu, Te-Yen and Gong, Jun and Yin, Sicheng and Zhai, Jialun and Yang, Xing-Dong},
     title = {BiTipText: Bimanual Eyes-Free Text Entry on a Fingertip Keyboard},
     year = {2020},
     isbn = {9781450367080},
     publisher = {Association for Computing Machinery},
     address = {New York, NY, USA},
     url = {https://doi.org/10.1145/3313831.3376306},
     doi = {10.1145/3313831.3376306},
     booktitle = {Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems},
     pages = {1–13},
     numpages = {13},
     location = {Honolulu, HI, USA},
     series = {CHI '20}
   }
   

   ACM Reference

   Copy

   Zheer Xu, Weihao Chen, Dongyang Zhao, Jiehui Luo, Te-Yen Wu, Jun Gong, Sicheng Yin, Jialun Zhai, and Xing-Dong Yang. 2020. BiTipText: Bimanual Eyes-Free Text Entry on a Fingertip Keyboard. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (CHI '20). Association for Computing Machinery, New York, NY, USA, 1–13. https://doi.org/10.1145/3313831.3376306