Sangeun Lee

发表

Digital Forensic Methodology for Detection of Abnormal Flight of Drones

Gibum Kim, Hyunji Moon, Euihyun Jin, 2021, Journal of Information Security and Cybercrimes Research.

Identification of heavy, energetic, hadronically decaying particles using machine-learning techniques

Yi Wang, Andrea Benaglia, Yi Zhang, 2020, Journal of Instrumentation.

Performance of the CMS Level-1 trigger in proton-proton collisions at √s = 13 TeV

Yi Wang, Andrea Benaglia, Ian Watson, 2020 .

Search for a massive resonance decaying to a pair of Higgs bosons in the four b quark ﬁnal state in proton–proton collisions at √ s = 13 TeV

Andrea Benaglia, Francesco Fienga, Stavros Mallios, 2018 .

Contact Transmission of COVID-19 in South Korea: Novel Investigation Techniques for Tracing Contacts

Young Joon Park, Young-Man Kim, Eunyoung Kim, 2020, Osong public health and research perspectives.

Performance of the CMS muon detector and muon reconstruction with proton-proton collisions at √s=13 TeV

Yi Wang, Andrea Benaglia, Francesco Fienga, 2018, Journal of Instrumentation.

ALICE Collaboration

F. Tosello, James S. Harris, Matthias Rudolph Richter, 2009, Nuclear Physics A.

Search for high mass dijet resonances with a new background prediction method in proton-proton collisions at $\sqrt{s}=$ 13 TeV

Yi Wang, Andrea Benaglia, Ian Watson, 2020 .

Alignment of the CMS tracker with LHC and cosmic ray data

Andrea Benaglia, Yu-Wei Chang, Marco Rossini, 2014 .

Performance of reconstruction and identification of τ leptons decaying to hadrons and vτ in pp collisions at √s=13 TeV

Yi Wang, Andrea Benaglia, Francesco Fienga, 2018, Journal of Instrumentation.

A deep neural network to search for new long-lived particles decaying to jets

Yi Wang, Andrea Benaglia, Ian Watson, 2019 .