His research interests include Deep Learning, Computer Vision and Machine Learning. Currently, his research focuses on Adaptive Machine Learning and Multimodal Large Language Models, specifically on Continual Learning, Test-time Adaptation, Prompt-based Learning, Instruction Tuning, In-context Learning, etc.
Shi Zenglin
Gender:Male
Education Level:With Certificate of Graduation for Doctorate Study
Alma Mater:University of Amsterdam