David Shih - Concepedia

Author

David Shih

Rutgers, The State University of New Jersey ORCID

Also Known As

Cohen, Roger E., D Shih, D. C. Shih, D. Shih, David Shih, David Shihb, Frank Siegert, Shih, David, Sillou, D.

202

Publications

6.3K

Citations

H-Index

Concepts

All Affiliations

Rutgers, The State University of New Jersey Lawrence Berkeley National Laboratory University of California, Berkeley Universität Hamburg Heidelberg University

About

David Shih is an author at Rutgers, The State University of New Jersey specializing in engineering, computer science, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	19	29	1.4K
2	Education	2	2	43
3	Language Studies	1	1	269
4	Law	1	1	374
5	Management	1	1	296

David Shih

Publications

5.8K

Citations

H-Index

Page 1

	Year	Citations
Simplified models for LHC new physics searches Daniele S. M. Alves, Nima Arkani–Hamed, S. Arora, Journal of Physics G Nuclear and Particle Physics	2012	456
The Lyα Forest Power Spectrum from the Sloan Digital Sky Survey Patrick McDonald, Uroš Seljak, Scott Burles, The Astrophysical Journal Supplement Series	2006	399
General Gauge Mediation Patrick Meade, Nathan Seiberg, David Shih Progress of Theoretical Physics Supplement NegotiationDirect Mediation ModelsM-theorySupergravityPhysics	2009	374
The Linear Theory Power Spectrum from the Lyα Forest in the Sloan Digital Sky Survey Patrick McDonald, Uroš Seljak, Renyue Cen, The Astrophysical Journal	2005	362
Anomaly detection with density estimation Benjamin Nachman, David Shih Physical review. D/Physical review. D. Anomaly DetectionMachine LearningEngineeringAutoencodersLearned Densities	2020	296
The Belle II Physics Book E. Kou, P. Urquijo, Wolfgang Altmannshofer, Progress of Theoretical and Experimental Physics Current OnlineComparative LiteraturePhysicsPrinted VersionNatural Sciences	2020	269
Searching for new physics with deep autoencoders Marco Farina, Yuichiro Nakai, David Shih Physical review. D/Physical review. D. Convolutional Neural NetworkEngineeringMachine LearningQcd JetsAutoencoders	2020	264
Implications of a 125 GeV Higgs boson for the MSSM and low-scale supersymmetry breaking Patrick Draper, Patrick Meade, Matthew Reece, Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D, Particles, fields, gravitation, and cosmology	2012	259
Branes, Rings and Matrix Models in Minimal (Super)string Theory Nathan Seiberg, David Shih Journal of High Energy Physics Quantum Field TheoryBrane TheoryString Theory	2004	196
Supersymmetry breaking, R-symmetry breaking and metastable vacua Kenneth Intriligator, Nathan Seiberg, David Shih Journal of High Energy Physics SupergravityPhysicsNatural SciencesParticle PhysicsQuantum Field Theory	2007	167

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