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个人简介
My research aims to build trustworthy AI systems that can be safely and reliably used in mission-critical tasks, with a focus of using formal verification techniques to give provable worst-case performance guarantees. I proposed and advanced a novel bound-propagation-based verification framework for deep neural networks that enables formal verification for networks with millions of neurons. I am leading the development of the α,β-CROWN neural network verifier, which won VNN-COMP 2022 and VNN-COMP 2021. In addition, I studied the security and safety of AI models, especially their adversarial robustness. I am a receipient of IBM PhD Fellowship and Schmidt Futures AI2050 Early Career Fellowship.
研究兴趣
论文共 154 篇作者统计合作学者相似作者
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IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposiumpp.7853-7857, (2024)
IEEE transactions on geoscience and remote sensingpp.1-1, (2024)
Knowledge-Based Systems (2024)
ICML 2024 (2024)
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arxiv(2024)
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Remote Sensingno. 12 (2024): 2056
arXiv (Cornell University) (2024)
arxiv(2024)
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作者统计
#Papers: 154
#Citation: 11756
H-Index: 39
G-Index: 100
Sociability: 6
Diversity: 2
Activity: 167
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