Papers
1
Total Citations
3
H-Index
1
About
Zi Yu Xue is a researcher focused on the intersection of hardware reliability and autonomous systems, with key contributions in characterizing and improving the resilience of accelerators to memory errors. Their most-cited work, "Characterizing and Improving Resilience of Accelerators to Memory Errors in Autonomous Robots" (2023), addresses a critical challenge in safety-critical robotics: motion planning hardware accelerators (MPAs) must withstand soft errors without relying on inefficient, blanket mitigation techniques. By identifying vulnerabilities specific to MPAs and proposing targeted resilience strategies, Xue’s research bridges the gap between computational efficiency and dependability in autonomous navigation. This work, garnering 3 citations in its early stages, underscores the growing importance of robust hardware design for real-world deployment. Xue’s contributions are particularly notable for advancing the reliability of accelerators in autonomous robots, where failure can have severe consequences. Their research not only deepens understanding of error resilience in specialized hardware but also provides practical pathways for safer autonomous systems—a vital step toward widespread adoption in domains like self-driving vehicles and industrial robotics.
Research Focus
Key Achievements
Top Papers
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