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We carry out a search for strong-lens systems containing high-redshift lensgalaxies with the goal of extending strong-lensing-assisted galaxy evolutionarystudies to earlier cosmic time. Two strong-lens classifiers are constructedfrom a deep residual network and trained with datasets of differentlens-redshift and brightness distributions. We classify a sample of 5,356,628pre-selected objects from the Wide-layer fields in the second public datarelease of the Hyper Suprime-Cam Subaru Strategic Program (HSC-SSP) by applyingthe two classifiers to their HSC $gri$-filter cutouts. Cutting off atthresholds that correspond to a false positive rate of $10^{-3}$ on our testset, the two classifiers identify 5,468 and 6,119 strong-lens candidates.Visually inspecting the cutouts of those candidates results in 735 grade-A or Bstrong-lens candidates in total, of which 277 candidates are discovered for thefirst time. This is the single largest set of galaxy-scale strong-lenscandidates discovered with HSC data to date, and nearly half of it (331/735)contains lens galaxies with photometric redshifts above 0.6. Our discoverieswill serve as a valuable target list for ongoing and scheduled spectroscopicsurveys such as the Dark Energy Spectroscopic Instrument, the Subaru PrimeFocus Spectrograph project, and the Maunakea Spectroscopic Explorer.

HOLISMOKES. VIII. High-redshift, strong-lens search in the Hyper Suprime-Cam Subaru Strategic Program