Zhiying Tu

Papers

Total Citations

H-Index

About

Dr. Zhiying Tu is a leading researcher in cognitive service robotics and human-machine dialogue systems, with a focus on creating intelligent, user-centric service delivery platforms. Her work centers on developing soft service robots—such as the e-SBOT—that act as adaptive bridges between users and complex external services, sensing both explicit and implicit user intentions to deliver personalized, context-aware assistance. Dr. Tu’s major contributions include the Dialogue Goal Planning Framework (DGPF), which enhances conversational bots by enabling them to proactively structure multi-step interactions rather than passively responding, a critical advancement for cognitive service applications like virtual personal assistants and smart speakers. Her research also addresses the challenge of service resource modeling through multi-view scenario-based descriptions, improving the accuracy of user need capture and service matching. With papers such as "DGPF: A Dialogue Goal Planning Framework for Cognitive Service Conversational Bot" and "E-SBOT: A Soft Service Robot for User-Centric Smart Service Delivery" each garnering 6 citations, Dr. Tu’s work is gaining recognition for its practical impact on next-generation service robots. Her innovative approach to bridging user intent and service execution positions her as a key contributor to the evolution of intelligent, soft robotic systems.