PhD student, University of Southern California
2 papers at NeurIPS 2025
We study the thinking process in visual reinforcement finetuning
We propose VisualLens, which leverages task-agnostic user's visual record to enhance the understanding of individual preferences and deliver more personalized MLLM recommendations.