Xijin Zhang

Papers

Total Citations

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About

Xijin Zhang’s research lies at the intersection of natural language processing, multilingual systems, and human-computer interaction, with a focus on automated content generation and embodied AI. Their most notable contribution is co-developing **Xiaomingbot**, a pioneering multilingual software robot that integrates news generation, translation, reading, and avatar animation into a single system. This work, presented at ACL 2020 (9 citations), demonstrated how AI can autonomously transform structured data into coherent Chinese news articles, then translate and deliver them via a lifelike virtual anchor. By bridging language generation with multimodal presentation, Zhang helped advance the vision of fully automated, culturally adaptive news reporting. Though the citation counts for this flagship work are modest, its conceptual ambition—creating a robot that can perceive, write, speak, and animate—has influenced subsequent research in low-resource machine translation and embodied conversational agents. Zhang’s contributions underscore a commitment to making AI systems not only linguistically proficient but also accessible and engaging across languages and modalities, a crucial step toward truly global, intelligent communication tools.