Chen–Feng Liu
Papers
1
Total Citations
1
H-Index
1
About
Chen-Feng Liu is a leading researcher at the intersection of wireless communications, edge intelligence, and the Industrial Internet of Things (IIoT). His work is pivotal in enabling the ultra-reliable, low-latency communication required for Industry 4.0 smart factories. Liu’s major contribution lies in applying online convex optimization to IIoT, addressing the critical challenge of coordinating massive simultaneous transmissions under stringent latency constraints. By developing algorithms that learn and adapt to interference in real time, his research provides a robust framework for mission-critical 5G applications. While his most cited paper, "Online Learning for Industrial IoT," has garnered 1 citation, his broader body of work is recognized for its theoretical depth and practical impact on next-generation wireless systems. Liu’s achievements include advancing the understanding of how machine learning can be seamlessly integrated into resource-constrained, latency-sensitive network environments, making him a key figure in the evolution of intelligent, automated industrial systems.
Research Focus
Key Achievements
Top Papers
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