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职业迁徙
个人简介
My current research interest lies in Bayesian deep learning, that is, combining Bayesian learning with deep learning for the sake of their respect and complementary strengths in the nonlinear representation learning and effective learning of model uncertainty and robustness. More specifically, the goal of my research is to provide a probabilistic interpretation of deep learning models by inferring the distribution of model weights and to improve the robustness of deep learning models in terms of adversarial attacks.
研究兴趣
论文共 17 篇作者统计合作学者相似作者
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NEURAL INFORMATION PROCESSING, ICONIP 2023, PT V (2024): 331-343
NEURAL NETWORKS (2023): 706-714
arxiv(2022)
2019 International Conference on Data Mining Workshops (ICDMW) (2019): 869-876
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D-Core
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