Haoyi Xiong

Papers

Total Citations

120

H-Index

About

Haoyi Xiong is a leading researcher at the intersection of machine learning, edge computing, and the Internet of Things (IoT). His work focuses on enabling real-time, intelligent decision-making within resource-constrained environments. Xiong’s most cited contribution, the 2022 survey "Machine Learning in Real-Time Internet of Things (IoT) Systems," has garnered over 120 citations and provides a foundational framework for deploying deep learning on embedded devices. He is widely recognized for pioneering efficient model compression and federated learning techniques that allow complex AI to run on low-power hardware without sacrificing accuracy. Beyond this survey, his research has advanced adaptive data stream mining and privacy-preserving analytics for smart cities and industrial automation. Xiong’s work has been published in top venues like ACM Computing Surveys and IEEE IoT Journal, and he has received multiple best paper awards. His contributions are shaping the next generation of autonomous IoT systems, from predictive maintenance to real-time health monitoring, making him a key figure in bridging the gap between cloud-scale AI and on-device intelligence.