Chenyu Ge

Ph.D. Student
Electrical Engineering and Computer Science
University of California, Merced

Email Google Scholar CV

About Me

Hello! I am a first-year Ph.D. student in Electrical Engineering and Computer Science at the University of California, Merced , advised by Prof. Xiaofan Yu in the YuCCA Lab . My research focuses on building reliable and efficient AI systems for real-world deployment, with particular interests in edge intelligence, hyperdimensional computing, test-time adaptation, and machine learning under distribution shift. More broadly, I am interested in developing intelligent systems that can reason, make decisions, adapt, and act autonomously in dynamic real-world environments.

Research Interests

• Reliable and Efficient Artificial Intelligence
• Edge Intelligence
• Hyperdimensional Computing
• Test-Time Adaptation
• Machine Learning under Distribution Shift

Education

Selected Publications

1. Calibrated Test-Time Prompt Tuning for Vision-Language Models on Medicine via Information Theoretic
   Chenyu Ge, Y. Li, G. Song
   International Journal of Machine Learning and Cybernetics , 2026.
   [Google Scholar]
2. Active Test-Time Adaptation for Continual Medical Image Classification
   K. Zhao, G. Song, Chenyu Ge, W. Hu, X. Liu
   Pattern Recognition, 2026.
   [Google Scholar]
3. Selection of Potential Cancer Biomarkers Based on Feature Selection Method
   Chenyu Ge
   Third International Conference on Intelligent Computing and Human-Computer Interaction , 2023.
   [Google Scholar]
4. FRL: An Integrative Feature Selection Algorithm Based on the Fisher Score, Recursive Feature Elimination, and Logistic Regression to Identify Potential Genomic Biomarkers
   Chenyu Ge, L. Luo, J. Zhang, X. Meng, Y. Chen
   BioMed Research International, 2021.
   [Google Scholar]

For a complete and up-to-date publication list, see my Google Scholar profile .