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Chao-Hsi Lee

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2020 – today

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2023
[j4]
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Chung-Hsuan Yang, Yi-Chung Wu, Yen-Lung Chen, Chao-Hsi Lee, Jui-Hung Hung, Chia-Hsiang Yang:
An FM-Index Based High-Throughput Memory-Efficient FPGA Accelerator for Paired-End Short-Read Mapping. IEEE Trans. Biomed. Circuits Syst. 17(6): 1331-1341 (2023)
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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:
A Fully Integrated End-to-End Genome Analysis Accelerator for Next-Generation Sequencing. ISSCC 2023: 44-45
2021
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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, Chia-Hsiang Yang:
A 975-mW Fully Integrated Genetic Variant Discovery System-on-Chip in 28 nm for Next-Generation Sequencing. IEEE J. Solid State Circuits 56(1): 123-135 (2021)
2020
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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, Chia-Hsiang Yang:
21.1 A Fully Integrated Genetic Variant Discovery SoC for Next-Generation Sequencing. ISSCC 2020: 322-324

2010 – 2019

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2018
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Jen-Tzung Chien, Chao-Hsi Lee, Zheng-Hua Tan:
Latent Dirichlet mixture model. Neurocomputing 278: 12-22 (2018)
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Jen-Tzung Chien, Chao-Hsi Lee:
Deep Unfolding for Topic Models. IEEE Trans. Pattern Anal. Mach. Intell. 40(2): 318-331 (2018)
2016
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Chao-Hsi Lee, Jen-Tzung Chien:
Deep unfolding inference for supervised topic model. ICASSP 2016: 2279-2283
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Jen-Tzung Chien, Chao-Hsi Lee, Zheng-Hua Tan:
Dirichlet mixture allocation. MLSP 2016: 1-6

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