Multiple papers accepted by conferences such as CG&A, ICWSM, PacificVis, and CSCW. Specific publications include: 'FashionCook: A Visual Analytics System for Human-AI Collaboration in Fashion E-Commerce Design', 'Influence Maximization in Temporal Social Networks with a Cold-start Problem: A Supervised Approach', 'POEM: Interactive Prompt Optimization for Enhancing Multimodal Reasoning of Large Language Models'.
Research Experience
Working at the VADER lab, focusing on data visualization and human-computer interaction.
Education
Bachelor's degree in Mechanical Engineering from Shanghai Jiao Tong University; Master's degree in Computer Science from ShanghaiTech University; currently pursuing a Ph.D. at Arizona State University under the supervision of Prof. Ross Maciejewski.
Background
Currently a Ph.D. student in the School of Computing and Augmented Intelligence at Arizona State University. Research interests include data visualization (VIS) and human-computer interaction (HCI). Focused on studying how people understand AI, particularly trust and perception issues, with the goal of developing more intuitive and effective interaction models between humans and AI systems.