Zhongqin Bi

Papers

Total Citations

H-Index

About

Zhongqin Bi is a researcher advancing the intersection of artificial intelligence, edge computing, and intelligent systems. Their work primarily focuses on knowledge-enhanced dialogue models and wireless robot path planning, addressing critical challenges in e-commerce and autonomous navigation. Bi’s notable contribution includes developing a knowledge-enhanced dialogue model that leverages multi-hop information with graph attention mechanisms, designed to improve customer service responsiveness in the rapidly growing e-commerce ecosystem—a paper that has garnered 5 citations for its innovative approach to handling millions of consumer queries daily. Additionally, Bi has explored wireless robot path planning under edge computing, introducing methods that consider multistep searching and inflection points to optimize navigation and obstacle avoidance with reduced computational overhead (2 citations). This research bridges automatic control and wireless communication, enhancing location-aware capabilities for autonomous systems. Bi’s work demonstrates a commitment to practical, data-driven solutions that improve efficiency in real-world applications, from conversational AI to robotic mobility. Their contributions offer valuable insights for students and researchers interested in dialogue systems, edge AI, and intelligent robotics.