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About

Xun Jiao is a leading researcher in the emerging field of brain-inspired hyperdimensional computing (HDC), an AI paradigm that mimics the brain’s high-dimensional vector operations to achieve lightweight, efficient machine learning. Their work focuses on making HDC both practical and secure, addressing critical challenges in memory efficiency, robustness, and adversarial resilience. Jiao’s most-cited paper, “SpamHD” (2021, 24 citations), introduced a memory-efficient text spam detection system that leverages HDC’s unique mathematical properties, demonstrating how high-dimensional vectors can perform complex classification tasks with minimal computational overhead. Building on this foundation, Jiao’s research explores the security of HDC systems against cyber attacks and hardware errors, as seen in “Robust Hyperdimensional Computing against Cyber Attacks and Hardware Errors” (2023, 8 citations) and “PoisonHD” (2022, 8 citations), which systematically analyze and defend against poisoning attacks. Their work on “ScaleHD” (2022, 7 citations) further advances HDC’s scalability for diverse cognitive tasks, from robotics to biomedical signal analysis. With a growing citation impact and a focus on bridging theoretical foundations with real-world deployment, Jiao is shaping the future of efficient, brain-inspired AI systems that are both powerful and resilient.