Peinuan Qin 😊
Peinuan Qin

PhD of Human Computer Interaction

National University of Singapore

About Me

Peinuan Qin is a PhD student of Computer Science at the AI4SG Lab, National University of Singapore. His research interests include Human Computer Interaction, Human AI Interaction, AI for Education, Communication, and Social Good. He is currently leading multiple HCI research projects, such as AI for multilingual communication and collaboration support, human-AI co-creation, AI for cyberbullying mitigation, AI for social good. Under the supervision of Prof. Yichieh Lee (NUS), Peinuan Qin has collaborated with top experts in the HCI and related fields, including Naomi Yamashita (General Co-Chair of CHI 2025); Xiangmin Fan (President of ACM SIGCHI China Chapter); Prof. Dakuo Wang (Northeastern University); Prof. Chilan Yang (University of Tokyo); and Prof. Jungup Lee (NUS).

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Interests
  • Human Computer Interaction
  • Human AI Interaction
  • AI for Education, Communication
Education

  • PhD Computer Science

    National University of Singapore, AI4SG Lab

  • Software Engineering Master

    University of Melbourne

📚 My Research
As an HCI/HAI researcher and software engineer, I have recently been working on fully leveraging the capabilities of LLM to play a positive role in communication, education, and cyberbullying scenarios. I advocate that LLM should be used as an effective tool and collaborator, instead of emphasizing its potential to replace humans.
Recent Publications
Ruotong Zou, Shuyu Yin, Tianqi Song, Peinuan Qin, Yi-Chieh Lee (2024). Mitigating Ageism through Virtual Reality: Intergenerational Collaborative Escape Room Design. Extended Abstracts of the CHI Conference on Human Factors in Computing Systems.
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Yu Jing, Peinuan Qin, Xiangmin Fan, Wei Qiang, Zhu Wencheng, Wei Sun, Feng Tian, Dakuo Wang (2023). Deep Learning--Assisted Gait Parameter Assessment for Neurodegenerative Diseases: Model Development and Validation. Journal of Medical Internet Research.
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Qinxuan Wang, Peinuan Qin, Xueyao Wei, Meiguo Gao (2022). ASTS: Attention-based spectrum truncation synthesis for step frequency signals. 2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC).
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Peinuan Qin, Qinxuan Wang, Yue Zhang, Xueyao Wei, Meiguo Gao (2022). MLAN: Multi-Level Attention Network. IEEE Access.
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