Qi Dong

Papers

Total Citations

150

H-Index

About

Qi Dong is a leading researcher at the intersection of artificial intelligence and human–computer interaction (HCI), with a primary focus on deep learning for intelligent input systems. His most cited work, "Deep Learning for Intelligent Human–Computer Interaction" (2022, 150 citations), has significantly advanced gesture and speech recognition technologies, particularly for virtual reality applications. By leveraging deep learning and artificial intelligence, Dong has pioneered methods that enable more natural, intuitive interfaces between humans and machines. His contributions are critical to the development of immersive VR environments, where accurate, real-time recognition of gestures and voice commands is essential. With over 150 citations on this landmark paper alone, Dong’s research has shaped how modern HCI systems are designed and deployed. His work continues to influence both academic research and practical applications in virtual reality, assistive technologies, and smart environments, making him a key figure in the evolution of intelligent, responsive computer interfaces.