Low-complexity predictive trellis coded quantization of wideband speech LSF parameters. - Yongwon Shin; Sangwon Kang; Thomas R. Fischer; Changyong Son; Yongbeom Lee (ICASSP (1), 2004)

Low-complexity predictive trellis-coded quantization of speech line spectral frequencies. - Sangwon Kang; Yongwon Shin; Thomas R. Fischer (IEEE Trans. Signal Process., 2004)

A Fast Encoding Technique for Vector Quantization of LSF Parameters. - Sangwon Kang; Yongwon Shin; Changyong Son; Thomas R. Fischer (IEICE Trans. Commun., 2005)

Hybrid Register Allocation with Spill Cost and Pattern Guided Optimization. - Yongwon Shin; Hyojin Sung (LCPC, 2021)

Runtime Support for Accelerating CNN Models on Digital DRAM Processing-in-Memory Hardware. - Yongwon Shin; Juseong Park; Jeongmin Hong; Hyojin Sung (IEEE Comput. Archit. Lett., 2022)

PIMFlow: Compiler and Runtime Support for CNN Models on Processing-in-Memory DRAM. - Yongwon Shin; Juseong Park; Sungjun Cho; Hyojin Sung (CGO, 2023)

PRIMO: A Full-Stack Processing-in-DRAM Emulation Framework for Machine Learning Workloads. - Jaehoon Heo; Yongwon Shin; Sangjin Choi; Sungwoong Yune; Jung-Hoon Kim; Hyojin Sung; Youngjin Kwon; Joo-Young Kim 001 (ICCAD, 2023)

Multi-Objective Architecture Search and Optimization for Heterogeneous Neuromorphic Architecture. - Juseong Park; Yongwon Shin; Hyojin Sung (ICCAD, 2023)

IMTP: Search-based Code Generation for In-memory Tensor Programs. - Yongwon Shin; Dookyung Kang; Hyojin Sung (CoRR, 2024)

ATiM: Autotuning Tensor Programs for Processing-in-DRAM. - Yongwon Shin; Dookyung Kang; Hyojin Sung (ISCA, 2025)