Yuyang Du
Papers
2
Total Citations
25
H-Index
2
About
Yuyang Du is a rising interdisciplinary researcher whose work bridges artificial intelligence, robotics, and chemistry. His primary research areas include visual question answering (VQA) for robotic surgery, continual learning, and AI-driven chemical synthesis. Du’s major contributions center on developing intelligent systems that adapt to evolving real-world tasks. His 2024 paper, “LLM-Assisted Multi-Teacher Continual Learning for Visual Question Answering in Robotic Surgery,” tackles the challenge of updating surgical VQA models as trainees encounter new procedures and instruments, addressing a critical gap in robotic-assisted surgical education. This work has already garnered 15 citations, reflecting its timely relevance. In 2023, Du introduced “Chemist-X,” a large language model-empowered agent that automates reaction condition optimization in chemical synthesis using retrieval-augmented generation. This innovative approach, with 10 citations, demonstrates his ability to apply cutting-edge AI to accelerate laboratory workflows. By combining continual learning with domain-specific applications, Du is shaping the future of adaptive AI systems in both medicine and chemistry, making him a notable emerging voice in AI research.
Research Focus
Key Achievements
Top Papers
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- 2