Jianhua Tao

Chinese Academy of Sciences, Tsinghua University, Guilin University of Electronic Technology

Papers

Total Citations

H-Index

About

Jianhua Tao is a leading researcher in human–computer interaction (HCI), with a focus on dynamic emotion recognition, virtual–real fusion, and intelligent robotic systems. His work bridges computer science, cognitive psychology, and multimedia technology to create more natural and adaptive interfaces. Tao’s 2019 study on a human–machine interaction system for researching dynamic emotion (24 citations) pioneered the use of conversational social media data to model artificial emotion, advancing emotionally aware AI. His 2023 comprehensive survey on virtual–real HCI (15 citations) systematically reviews perception computing, human–robot collaboration, personalized dialogue, and data visualization, identifying key future directions like transferable perception and user-adaptive systems. In robotics, his 2017 work on nonrigid point matching for Chinese character writing (11 citations) solved challenges of nonlinear deformation and connected strokes, enabling more precise robot learning. With over 50 total citations across these core papers, Tao’s contributions are shaping the next generation of empathetic, context-aware human–machine systems, making him a pivotal figure in affective computing and embodied interaction.