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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.