Xiangyu Yin
Scholar

Xiangyu Yin

Google Scholar ID: k38--JYAAAAJ
University of Pittsburgh
Mobile SensingSmart Health
Citations & Impact
All-time
Citations
51
 
H-index
5
 
i10-index
1
 
Publications
9
 
Co-authors
4
list available
Publications
9 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • - Publications:
  • - [ICCV’25] Yin, X., Yang, B., Liu, W., Xue, Q., Alamri, A., Fiedler, G., & Gao, W. (2025). ProGait: A Multi-Purpose Video Dataset and Benchmark for Transfemoral Prosthesis Users.
  • - [MobiSys’25] Wang, H., Yang, B., Yin, X., & Gao, W. (2025). Never Start from Scratch: Expediting On-Device LLM Personalization via Explainable Model Selection.
  • - [arXiv] Song, J., Huang, K., Yin, X., Yang, B., & Gao, W. (2024). Achieving Sparse Activation in Small Language Models.
  • - [CVPR’25] Xue, Q., Yin, X., Yang, B., & Gao, W. (2025). Phyt2v: LLM-guided iterative self-refinement for physics-grounded text-to-video generation.
  • - [MobiCom’25] Huang, K., Yin, X., Huang, H., & Gao, W. (2025). Modality plug-and-play: Runtime modality adaptation in LLM-driven autonomous mobile systems.
Research Experience
  • - ProGait Project: Collaborating with experts in Rehabilitation Science and Technology, developed a multi-purpose video dataset and benchmark for transfemoral prosthesis users to support multiple vision tasks.
  • - Smartphone-based Acoustic Sensing System: Developed a mobile health system that turns a commodity smartphone into a fully functional pulmonary examination device, measuring the internal physiological conditions of human airways via acoustic sensing through the mouth.
Education
  • - Doctoral Degree: Electrical and Computer Engineering, University of Pittsburgh, Advisor: Dr. Wei Gao
  • - Bachelor's Degree: Automation, University of Science and Technology of China
Background
  • - Research Interests: Mobile sensing, AI for healthcare
  • - Field: Electrical and Computer Engineering
  • - Brief Introduction: A PhD candidate at the Department of Electrical & Computer Engineering, University of Pittsburgh, advised by Dr. Wei Gao. Received a Bachelor’s Degree in Automation from the School of the Gifted Young, University of Science and Technology of China in 2019.
Miscellany
  • - Personal Interests: Actively seeking opportunities to apply his research and analytical skills in industry.