Kai Yi

Kai Yi is a dedicated researcher with extensive experience in machine learning and computer vision, having held various positions at prestigious institutions such as Carnegie Mellon University, KAUST, Tencent, and Meta. Notable expertise includes work on zero-shot learning, multimodal language models, and model compression, with significant projects like PV-Tuning and CohortSqueeze. Educational qualifications include a Bachelor's degree in Computer Software Engineering from Xi'an Jiaotong University, a Master's in Computer Science focused on Computer Vision and Machine Learning from KAUST, and ongoing PhD studies at KAUST in Machine Learning Optimization.