I am currently a doctoral student in Graduate School of Data Science at KAIST in Korea, supervised by Prof. Uichin Lee in Kaist ICLab. I have finished the master degree in the same lab. My bachelor degree is from Beijing Institute of Technology.
I am currently interested in machine learning for mobile affective computing.
Feel free to drop me an email (panyu@kse.kaist.ac.kr) if you have any question!
Projects
Mobile Emotion Detection
Causal Analysis in Mobile Sensor Data
Publications
Yunjo Han, Panyu Zhang, Minseo Park, and Uichin Lee. 2024. Systematic Evaluation of Personalized Deep Learning Models for Affect Recognition. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 8, 4, Article 206 (December 2024), 35 pages. https://doi.org/10.1145/3699724 (to-appear)
Panyu Zhang, Gyuwon Jung, Jumabek Alikhanov, Uzair Ahmed, and Uichin Lee. 2024. A Reproducible Stress Prediction Pipeline with Mobile Sensor Data. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 8, 3, Article 143 (August 2024), 35 pages. https://doi.org/10.1145/3678578 (Presented at Ubicomp 2024)
Jumabek Alikhanov, Panyu Zhang, Youngtae Noh, and Hakil Kim, “Design of Contextual Filtered Features for Better Smartphone-User Receptivity Prediction,” IEEE Internet of Things Journal, 2023. DOI: https://doi.org/10.1109/JIOT.2023.3331715.
Yongshin Kim*, Panyu Zhang*, Gyuwon Jung, Heepyung Kim, and Uichin Lee. 2021. Causal Analysis of Observational Mobile Sensor Data: A Comparative Study. In Proceedings of the Korean Computer Congress (KCC 2021).
Teaching
TA for IoT Data Science - CS565/DS565 2024 Spring @ KAIST
Intern Mentoring & Collaboration
I am proud to have worked with interns Uzair Ahmed, Anis Rashidov, and Minseo Park.
It has been an honor to collaborate with Jumabek Alikhanov, Gyuwon Jung, Yunjo Han, and Yongshin Kim.