Cynthia Bailey Lee
Cynthia Bailey Lee
Lecturer in Computer Science, Stanford University
Verified email at stanford.edu - Homepage
TitleCited byYear
Are user runtime estimates inherently inaccurate?
CB Lee, Y Schwartzman, J Hardy, A Snavely
Workshop on Job Scheduling Strategies for Parallel Processing, 253-263, 2004
1942004
Peer instruction: do students really learn from peer discussion in computing?
L Porter, C Bailey Lee, B Simon, D Zingaro
Proceedings of the seventh international workshop on Computing education …, 2011
1062011
Halving fail rates using peer instruction: a study of four computer science courses
L Porter, C Bailey Lee, B Simon
Proceeding of the 44th ACM technical symposium on Computer science education …, 2013
1052013
Precise and realistic utility functions for user-centric performance analysis of schedulers
CB Lee, AE Snavely
Proceedings of the 16th international symposium on High performance …, 2007
932007
On the user–scheduler dialogue: studies of user-provided runtime estimates and utility functions
CB Lee, A Snavely
The International Journal of High Performance Computing Applications 20 (4 …, 2006
602006
Detection and characterization of port scan attacks
CB Lee, C Roedel, E Silenok
Univeristy of California, Department of Computer Science and Engineering, 2003
582003
Can peer instruction be effective in upper-division computer science courses?
CB Lee, S Garcia, L Porter
ACM Transactions on Computing Education (TOCE) 13 (3), 12, 2013
432013
Experience report: a multi-classroom report on the value of peer instruction
L Porter, C Bailey Lee, B Simon, Q Cutts, D Zingaro
Proceedings of the 16th annual joint conference on Innovation and technology …, 2011
422011
Computer science concept inventories: past and future
C Taylor, D Zingaro, L Porter, KC Webb, CB Lee, M Clancy
Computer Science Education 24 (4), 253-276, 2014
332014
Performance modeling of HPC applications
A Snavely, X Gao, C Lee, L Carrington, N Wolter, J Labarta, J Gimenez, ...
Advances in Parallel Computing 13, 777-784, 2004
312004
Applying an automated framework to produce accurate blind performance predictions of full-scale hpc applications
L Carrington, N Wolter, A Snavely, CB Lee
Department of Defense Users Group Conference, 2004
292004
A multi-institutional study of peer instruction in introductory computing
L Porter, D Bouvier, Q Cutts, S Grissom, C Lee, R McCartney, D Zingaro, ...
Proceedings of the 47th ACM Technical Symposium on Computing Science …, 2016
272016
New CS1 pedagogies and curriculum, the same success factors?
C Alvarado, CB Lee, G Gillespie
Proceedings of the 45th ACM technical symposium on Computer science …, 2014
232014
Peer instruction in computing: the role of reading quizzes
D Zingaro, C Bailey Lee, L Porter
Proceeding of the 44th ACM technical symposium on Computer science education …, 2013
192013
Experience Report: CS1 in MATLAB for Non-Majors, with Media Computation and Peer Instruction
CB Lee
SIGCSE, 2013
132013
Development of Peer Instruction Questions for Cybersecurity Education.
WE Johnson, A Luzader, I Ahmed, V Roussev, GG Richard III, CB Lee
ASE@ USENIX Security Symposium, 2016
52016
Scalable and Lightweight {CTF} Infrastructures Using Application Containers (Pre-recorded Presentation)
AS Raj, B Alangot, S Prabhu, K Achuthan, K Olson, CB Lee
2016 {USENIX} Workshop on Advances in Security Education ({ASE} 16), 2016
52016
Parallel job scheduling algorithms and interfaces
C Lee
Department of Computer Science and Engineering. University of California …, 2004
52004
Towards high-order performance objectives for HPC system scheduling
C Lee, A Snavely, B Leary, L Carrington, H Casanova, R Bohn, R Carson, ...
San Diego Supercomputer Center Technical Report, 2004
52004
Preparing tomorrow's faculty to address challenges in teaching computer science
L Porter, C Lee, B Simon, M Guzdial
Communications of the ACM 60 (5), 25-27, 2017
42017
The system can't perform the operation now. Try again later.
Articles 1–20