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Bio
Dr. Peng is leading the Deep-REAL Lab (Deep Robust & Explainable AI Lab) at the University of Delaware. His research interests primarily focus on two areas: (1) Safe Learning System, specifically in building algorithm foundations for robustness, explainability, and scalability; and (2) AI for Sciences, for safety-critical applications in Geo and Bio domains. His group publishes on top AI/ML venues such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, AAAI, IJCAI, KDD, and TPAMI. According to csrankings.org, Dr. Peng is ranked as the top individual in the CIS department, and the second highest across the entire university. His research work has garnered recognition, including the Best Paper Award at the NeurIPS'21 MLPH workshop and the Best Student Paper Finalist at ECCV'16. His research has received support from NSF, DOD, CDC, industry awards such as Memorial Sloan Kettering Cancer Center, Google Faculty Research Award, Snap Research Award, and internal awards such as General University Research Award and University of Delaware Research Foundation Award.
Research Interests
Papers共 68 篇Author StatisticsCo-AuthorSimilar Experts
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Qitong Wang,Emmanuel Chinkaka, Romain Richaud, Mehrnaz Haghdadi, Coryn Wolk,Kopo Oromeng,Kyle Frankel Davis,Federica Bianco,Xi Peng,Julie Michelle Klinger
crossref(2024)
arxiv(2024)
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CVPR 2023 (2023): 3821-3831
Computer Vision and Image Understanding (2023): 103780-103780
Amani Kiruga,Xi Peng
CoRR (2023)
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