Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)
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Xiaohan Zhao is a PhD student in Machine Learning at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI). Her research focuses on efficient deep learning, adversarial robustness, spiking neural networks, and related areas in artificial intelligence.
She has co-authored publications including works presented at NeurIPS and ECCV, such as papers on direct training of spiking neural networks and adversarial attacks on event data. Zhao is affiliated with research groups at MBZUAI and has contributed to projects involving large language models and dataset distillation.
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MBZUAI's VILA Lab dissects Claude Code, Anthropic's agentic tool, revealing design principles for future AI systems. A milestone in UAE higher education AI research.
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