K
Kevin Yang
Researcher at University of California, Berkeley
Publications - 35
Citations - 3283
Kevin Yang is an academic researcher from University of California, Berkeley. The author has contributed to research in topics: Graph (abstract data type) & Computer science. The author has an hindex of 12, co-authored 31 publications receiving 1711 citations. Previous affiliations of Kevin Yang include Massachusetts Institute of Technology & University of Illinois at Urbana–Champaign.
Papers
More filters
Journal ArticleDOI
A Deep Learning Approach to Antibiotic Discovery
Jonathan M. Stokes,Kevin Yang,Kyle Swanson,Wengong Jin,Andres Cubillos-Ruiz,Nina M. Donghia,Craig R. MacNair,Shawn French,Lindsey A. Carfrae,Zohar Bloom-Ackermann,Victoria M. Tran,Anush Chiappino-Pepe,Ahmed H. Badran,Ian W. Andrews,Ian W. Andrews,Ian W. Andrews,Emma J. Chory,George M. Church,Eric D. Brown,Tommi S. Jaakkola,Regina Barzilay,James J. Collins +21 more
TL;DR: A deep neural network capable of predicting molecules with antibacterial activity is trained and a molecule from the Drug Repurposing Hub-halicin- is discovered that is structurally divergent from conventional antibiotics and displays bactericidal activity against a wide phylogenetic spectrum of pathogens.
Journal ArticleDOI
Analyzing Learned Molecular Representations for Property Prediction.
Kevin Yang,Kyle Swanson,Wengong Jin,Connor W. Coley,Philipp Eiden,Hua Gao,Angel Guzman-Perez,Timothy Hopper,Brian Kelley,Miriam Mathea,Andrew Palmer,Volker Settels,Tommi S. Jaakkola,Klavs F. Jensen,Regina Barzilay +14 more
TL;DR: In this article, a graph convolutional model that consistently matches or outperforms models using fixed molecular descriptors as well as previous graph neural architectures on both public and proprietary data sets is presented.
Posted Content
Analyzing Learned Molecular Representations for Property Prediction
Kevin Yang,Kyle Swanson,Wengong Jin,Connor W. Coley,Philipp Eiden,Hua Gao,Angel Guzman-Perez,Timothy Hopper,Brian Kelley,Miriam Mathea,Andrew Palmer,Volker Settels,Tommi S. Jaakkola,Klavs F. Jensen,Regina Barzilay +14 more
TL;DR: A graph convolutional model is introduced that consistently matches or outperforms models using fixed molecular descriptors as well as previous graph neural architectures on both public and proprietary data sets.
Journal ArticleDOI
Analytic model for direct tunneling current in polycrystalline silicon-gate metal–oxide–semiconductor devices
TL;DR: In this paper, an analytic model of the direct tunneling current in metal-oxide-semiconductor devices as a function of oxide field is presented, and accurate modeling of the low-field roll-off in the current results from proper modeling of field dependencies of the sheet charge, electron impact frequency on the interface, and tunneling probability.
Journal ArticleDOI
Dual-metal gate CMOS technology with ultrathin silicon nitride gate dielectric
Yee-Chia Yeo,Qiang Lu,Pushkar Ranade,Hideki Takeuchi,Kevin Yang,I. Polishchuk,Tsu-Jae King,Chenming Hu,S.C. Song,H.F. Luan,Dim-Lee Kwong +10 more
TL;DR: In this article, a dual-metal gate complementary metal oxide semiconductor (CMOS) technology using titanium (Ti) and molybdenum (Mo) as the gate electrodes for the N-metal oxide field effect transistors (N-MOSFETs) was presented.