基本信息
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职业迁徙
个人简介
My research interests span programming languages, software engineering, security, and artificial intelligence.
My research studies deep learning and reinforcement learning techniques, as well as, classic numerical, statistical, and probabilistic methods for addressing program reasoning challenges that span verification, synthesis, and testing.
I am also interested in designing logic-inspired neural architectures and neuro-symbolic systems to tackle broader learning and reasoning challenges, especially, interpretable, data-efficient, and algorithmic learning.
My research studies deep learning and reinforcement learning techniques, as well as, classic numerical, statistical, and probabilistic methods for addressing program reasoning challenges that span verification, synthesis, and testing.
I am also interested in designing logic-inspired neural architectures and neuro-symbolic systems to tackle broader learning and reasoning challenges, especially, interpretable, data-efficient, and algorithmic learning.
研究兴趣
论文共 43 篇作者统计合作学者相似作者
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arxiv(2024)
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arxiv(2024)
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arxiv(2024)
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CoRR (2023)
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CoRR (2023)
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PROGRAMMING LANGUAGES AND SYSTEMS, APLAS 2023 (2023): 310-331
PROCEEDINGS OF THE 54TH ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION, VOL 1, SIGCSE 2023 (2023): 750-756
NeurIPS (2023)
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D-Core
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