Lili Yin

Papers

Total Citations

H-Index

About

Lili Yin’s research bridges artificial intelligence and professional practice, with a focus on developing intelligent systems that adapt to human needs. Her most cited work, “Situation reasoning for an adjustable autonomy system” (2012, 12 citations), introduces a framework that enables AI to assess real-time contexts and dynamically adjust its decision-making autonomy. This contribution is foundational for creating more responsive and trustworthy autonomous systems, particularly in environments requiring human-AI collaboration. Yin’s approach integrates reasoning across multiple information sources, allowing systems to understand “what the situation is” and “what needs to be done,” a significant step toward holistic adjustable autonomy. In her more recent work, “The Coping Strategies of Accountants Under the Background of Artificial Intelligence” (2020, 2 citations), Yin examines the transformative impact of AI on the accounting profession. She analyzes how technological innovation reshapes economic and social structures, offering strategies for professionals to adapt and thrive. This research highlights her interdisciplinary reach, connecting AI advancements with real-world workforce implications. Though her citation counts are modest, Yin’s contributions are notable for their forward-looking synthesis of technical AI design and practical human adaptation, making her work relevant to researchers in human-computer interaction, autonomous systems, and the future of work.