Deep unfolding inference for supervised topic model. - Chao-Hsi Lee; Jen-Tzung Chien (ICASSP, 2016)

Dirichlet mixture allocation. - Jen-Tzung Chien; Chao-Hsi Lee; Zheng-Hua Tan (MLSP, 2016)

Latent Dirichlet mixture model. - Jen-Tzung Chien; Chao-Hsi Lee; Zheng-Hua Tan (Neurocomputing, 2018)

Deep Unfolding for Topic Models. - Jen-Tzung Chien; Chao-Hsi Lee (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

21.1 A Fully Integrated Genetic Variant Discovery SoC for Next-Generation Sequencing. - Yi-Chung Wu; Yen-Lung Chen; Chung-Hsuan Yang; Chao-Hsi Lee; Chao-Yang Yu; Nian-Shyang Chang; Ling-Chien Chen; Jia-Rong Chang; Chun-Pin Lin; Hung-Lieh Chen; Chi-Shi Chen; Jui-Hung Hung; et al. (ISSCC, 2020)

A 975-mW Fully Integrated Genetic Variant Discovery System-on-Chip in 28 nm for Next-Generation Sequencing. - Yi-Chung Wu; Yen-Lung Chen; Chung-Hsuan Yang; Chao-Hsi Lee; Chao-Yang Yu; Nian-Shyang Chang; Ling-Chien Chen; Jia-Rong Chang; Chun-Pin Lin; Hung-Lieh Chen; Chi-Shi Chen; Jui-Hung Hung; et al. (IEEE J. Solid State Circuits, 2021)

A Fully Integrated End-to-End Genome Analysis Accelerator for Next-Generation Sequencing. - Yen-Lung Chen; Chung-Hsuan Yang; Yi-Chung Wu; Chao-Hsi Lee; Wen-Ching Chen; Liang-Yi Lin; Nian-Shyang Chang; Chun-Pin Lin; Chi-Shi Chen; Jui-Hung Hung; Chia-Hsiang Yang (ISSCC, 2023)

An FM-Index Based High-Throughput Memory-Efficient FPGA Accelerator for Paired-End Short-Read Mapping. - Chung-Hsuan Yang; Yi-Chung Wu; Yen-Lung Chen; Chao-Hsi Lee; Jui-Hung Hung; Chia-Hsiang Yang (IEEE Trans. Biomed. Circuits Syst., 2023)