Xinyu Niu
Papers
2
Total Citations
24
H-Index
2
About
Xinyu Niu is a researcher specializing in heterogeneous reconfigurable computing and real-time embedded systems, with a particular focus on adaptive particle filters. His major contributions lie in developing methodologies to map computationally intensive particle filter algorithms onto heterogeneous platforms combining FPGAs and CPUs, enabling real-time performance for applications such as tracking and robotics. Niu’s work demonstrates how runtime reconfigurability can dynamically adjust the number of particles to balance accuracy and computational load, a critical advancement for adaptive systems. His most cited paper, “Heterogeneous Reconfigurable System for Adaptive Particle Filters in Real-Time Applications” (2013), has garnered 16 citations, while his follow-up work in 2014 further refined these mapping techniques. Though his citation counts are modest, Niu’s research addresses a niche yet important challenge in embedded computing: achieving real-time adaptability on reconfigurable hardware. His achievements include proposing novel approaches for utilizing FPGA reconfigurability to optimize particle filter performance, laying groundwork for future work in adaptive real-time systems.
Research Focus
Key Achievements
Top Papers
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