<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Inpyo Hong | 안성현</title><link>https://skiddieahn.github.io/ko/authors/inpyo-hong/</link><atom:link href="https://skiddieahn.github.io/ko/authors/inpyo-hong/index.xml" rel="self" type="application/rss+xml"/><description>Inpyo Hong</description><generator>Source Themes Academic (https://sourcethemes.com/academic/)</generator><language>ko-kr</language><lastBuildDate>Sun, 01 Feb 2026 00:00:00 +0000</lastBuildDate><image><url>https://skiddieahn.github.io/images/icon_huf1b7dbdf264b64ccae67ec7e89477a75_22677_512x512_fill_lanczos_center_3.png</url><title>Inpyo Hong</title><link>https://skiddieahn.github.io/ko/authors/inpyo-hong/</link></image><item><title>GranQ: Efficient Channel-wise Quantization via Vectorized Pre-Scaling for Zero-Shot QAT</title><link>https://skiddieahn.github.io/ko/publication/sac2026-granq/</link><pubDate>Sun, 01 Feb 2026 00:00:00 +0000</pubDate><guid>https://skiddieahn.github.io/ko/publication/sac2026-granq/</guid><description/></item><item><title>AnyAnomaly: Zero-shot Customizable Video Anomaly Detection with LVLM</title><link>https://skiddieahn.github.io/ko/publication/wacv2026-anyanomaly/</link><pubDate>Thu, 15 Jan 2026 00:00:00 +0000</pubDate><guid>https://skiddieahn.github.io/ko/publication/wacv2026-anyanomaly/</guid><description/></item><item><title>Advanced Knowledge Transfer: Refined Feature Distillation for Zero-Shot Quantization in Edge Computing</title><link>https://skiddieahn.github.io/ko/publication/sac-2025-quantization/</link><pubDate>Sat, 01 Mar 2025 00:00:00 +0000</pubDate><guid>https://skiddieahn.github.io/ko/publication/sac-2025-quantization/</guid><description/></item></channel></rss>