Xijun Wang is currently an Applied Scientist at Amazon, focusing on AI model search engines, particularly in ranking and innovative shopping generative models. Previous experience includes a brief role as a Student Researcher at Google, enhancing LLMs through egocentric social interaction perception, and multiple positions within Amazon, including work on efficient Video-Language Alignment and Scene-aware Complementary Item Retrieval. Xijun Wang also served as an Applied Scientist Intern at Amazon and held research and teaching assistant roles at the University of Maryland while pursuing a PhD in Computer Science. Educational qualifications include a Master's degree from the Institute of Computing Technology at the Chinese Academy of Sciences.
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