View the profiles of professionals named "Kexin Pei" on LinkedIn. There are 9 professionals named "Kexin Pei", who use LinkedIn to exchange information, ideas, and opportunities.
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2017-08-28 Kexin Pei We at USENIX assert that Black lives matter: Read the USENIX Statement on Racism and Black, African-American, and African Diaspora Inclusion . Linked Presentation: Share your videos with friends, family, and the world Fei Wang 0001. Junfeng Yang. Justin Whitehouse 12/16/2020 ∙ by Kexin Pei, et al. ∙ 0 ∙ share read it. Are you a researcher?
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By Kexin Pei, Yinzhi Cao, junfeng Yang, Suman Jana cacm.acm.org — Home/Magazine Archive/November 2019 (Vol. 62, No. 11)/DeepXplore: Automated Whitebox Testing of Deep Learning/Full TextBy Kexin Pei, Yinzhi Cao, Junfeng Yang, Suman JanaCommunications of the ACM,November 2019,Vol. 2017-08-28 · Recent advances in Deep Neural Networks (DNNs) have led to the development of DNN-driven autonomous cars that, using sensors like camera, LiDAR, etc., can drive without any human intervention. Most major manufacturers including Tesla, GM, Ford, BMW, and Waymo/Google are working on building and testing different types of autonomous vehicles.
Department of Computer Science, Columbia University.
2017-10-14 · Kexin Pei Columbia University in the City of New York Yinzhi Cao Johns Hopkins University Junfeng Yang Columbia University in the City of New
Home Kexin Pei Publications IEEE Xplore, delivering full text access to the world's highest quality technical literature in engineering and technology. | IEEE Xplore Read writing from Kexin Pei on Medium.
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Join Facebook to connect with Pei Kexin and others you may know. Facebook gives people the power to share View the profiles of professionals named "Kexin Pei" on LinkedIn. There are 9 professionals named "Kexin Pei", who use LinkedIn to exchange information, ideas, and opportunities. Kexin Pei Author page based on publicly available paper data. 6.
Kexin Pei yYinzhi Caoz Junfeng Yang Suman Janay yColumbia University zLehigh University y{kpei, junfeng, suman}@cs.columbia.edu zyinzhi.cao@lehigh.edu Abstract Deep learning (DL) systems are increasingly deployed in safety- and security-critical domains including self-driving cars and malware detection, where the correctness and pre-
Kexin Pei. We at USENIX assert that Black lives matter: Read the USENIX Statement on Racism and Black, African-American, and African Diaspora Inclusion. By Kexin Pei, Yinzhi Cao, junfeng Yang, Suman Jana cacm.acm.org — Home/Magazine Archive/November 2019 (Vol. 62, No. 11)/DeepXplore: Automated Whitebox Testing of Deep Learning/Full TextBy Kexin Pei, Yinzhi Cao, Junfeng Yang, Suman JanaCommunications of the ACM,November 2019,Vol. 2017-08-28 · Recent advances in Deep Neural Networks (DNNs) have led to the development of DNN-driven autonomous cars that, using sensors like camera, LiDAR, etc., can drive without any human intervention. Most major manufacturers including Tesla, GM, Ford, BMW, and Waymo/Google are working on building and testing different types of autonomous vehicles. The lawmakers of several US states including
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15 Citations (Scopus) Overview; Abstract. [9] Kexin Pei, Yinzhi Cao, Junfeng Yang, and Suman Jana. Deepxplore: Automated whitebox testing of deep learning systems. In Proceedings of the 26th ACM Symposium on Operating Systems Principles (SOSP ’17), October 2017.
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