PLDI 2022
Mon 13 - Fri 17 June 2022
San Diego, California, United States
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- Static Analysis for Data Scientists
- Using static analysis to scale security at Meta
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PLDI 2022
(
series
) /
LCTES 2022 (
series
) /
Languages, Compilers, Tools and Theory of Embedded Systems
/
Program Committee
LCTES
Tosiron Adegbija
University of Arizona
Raj Barik
Uber Technologies Inc.
Walter Binder
University of Lugano, Switzerland
João M. P. Cardoso
University of Porto and INESC TEC, Portugal
Portugal
Jeronimo Castrillon
TU Dresden, Germany
Germany
Yiran Chen
Duke University
Robert Dick
University of Michigan, USA
Bernhard Egger
Seoul National University
South Korea
Frank Hannig
Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
Germany
Yuko Hara-Azumi
Tokyo Institute of Technology
Japan
Seonyeong Heo
ETH Zurich
Switzerland
Changwan Hong
Massachusetts Institute of Technology
Hyeran Jeon
University of California, Merced
United States
Alexandra Jimborean
University of Murcia
Spain
Lei Ju
Shandong University
China
Hyoseung Kim
University of California, Riverside
United States
Yousun Ko
Yonsei University
Chandra Krintz
UC Santa Barbara
United States
Guanpeng Li
University of Iowa
United States
Taewook Oh
Modular AI
Martin Schoeberl
Technical University of Denmark
Denmark
Zili Shao
The Chinese University of Hong Kong
Aaron Smith
Microsoft
United States
Hyojin Sung
POSTECH
Rujia Wang
Illinois Institute of Technology
Tong Zhang
Samsung
United States
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Tue 20 Aug 08:21