Yafang Wang

Dalhousie University, Zhejiang Financial College

Papers

Total Citations

H-Index

About

Yafang Wang’s research lies at the intersection of intelligent robotics and conversational AI, with a focus on multi-agent coordination and spoken dialogue systems. Her most cited work introduces an artificial immune network algorithm (AINA) for multi-robot formation path planning with obstacle avoidance, achieving 16 citations. This contribution combines bio-inspired computing with position tracking control, enabling follower robots to autonomously navigate obstacles and recover formation—a significant advance in decentralized swarm robotics. More recently, Wang has pioneered applications of behavior cloning in spoken dialogue systems for debt collection, a high-stakes domain in FinTech. Her 2020 paper (9 citations) addresses the limitations of rigid dialogue flows by training models on expert demonstrations, allowing for more adaptive and natural interactions in automated calling systems. This work bridges reinforcement learning and practical deployment, tackling real-world challenges in financial technology. Wang’s research demonstrates a rare ability to translate theoretical algorithms—from immune network optimization to imitation learning—into tangible solutions for robotics and human-computer interaction, marking her as a versatile contributor to both fields.