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Xinming (Simon) Ou is broadly serious about exploration that addresses pressing-need cybersecurity difficulties. He is particularly serious about analysis challenges that come up from realistic domains, which has a focus on equally experimental/empirical research and audio theoretical footings.
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He also been given the ideal poster award in the 2018 international meeting on computational images.
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He uses combinatorial optimization, approximate dynamic programming and deep reinforcement learning methodologies for selection-producing beneath uncertainty.
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