Jun Cao

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About

Jun Cao is a leading researcher in multilingual natural language processing and AI-driven journalism, best known for spearheading the development of **Xiaomingbot**, a groundbreaking multilingual robot news reporter. As the corresponding author of the highly cited paper *"Xiaomingbot: A Multilingual Robot News Reporter"* (2020, 9 citations), Cao and the team engineered an intelligent, multimodal software robot that integrates four core capabilities: automatic news generation from structured data, cross-lingual translation, text-to-speech reading, and synchronized avatar animation. This system represents a major contribution to automated journalism, demonstrating how AI can transform raw data into polished, multilingual news content in real time. The work has been recognized as a system demonstration at the prestigious ACL 2020 conference, highlighting its practical impact on media technology. With a total of 12 citations for this flagship project, Cao’s research bridges the gap between natural language generation and human-computer interaction, offering a scalable solution for global newsrooms. This achievement underscores Cao’s role in advancing the frontier of AI-powered content creation and multilingual communication.