Search Results - "Li, Dangna"

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  1. 1

    Scalable multi-sample single-cell data analysis by Partition-Assisted Clustering and Multiple Alignments of Networks by Li, Ye Henry, Li, Dangna, Samusik, Nikolay, Wang, Xiaowei, Guan, Leying, Nolan, Garry P, Wong, Wing Hung

    Published in PLoS computational biology (01-12-2017)
    “…Mass cytometry (CyTOF) has greatly expanded the capability of cytometry. It is now easy to generate multiple CyTOF samples in a single study, with each sample…”
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    Journal Article
  2. 2

    Methods for Scalable Markov Chain Monte Carlo Inference by Li, Dangna

    Published 01-01-2018
    “…This dissertation contains three methods aiming at improving the scalability of Markov Chain Monte Carlo (MCMC) sampling. The first method addresses the…”
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    Dissertation
  3. 3

    Neural-FST Class Language Model for End-to-End Speech Recognition by Bruguier, Antoine, Le, Duc, Prabhavalkar, Rohit, Li, Dangna, Liu, Zhe, Wang, Bo, Chang, Eun, Peng, Fuchun, Kalinli, Ozlem, Seltzer, Michael L.

    “…We propose Neural-FST Class Language Model (NFCLM) for end-to-end speech recognition, a novel method that combines neural network language models (NNLMs) and…”
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    Conference Proceeding
  4. 4

    Mini-batch Tempered MCMC by Li, Dangna, Wong, Wing H

    Published 30-07-2017
    “…In this paper we propose a general framework of performing MCMC with only a mini-batch of data. We show by estimating the Metropolis-Hasting ratio with only a…”
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    Journal Article
  5. 5

    Neural-FST Class Language Model for End-to-End Speech Recognition by Bruguier, Antoine, Le, Duc, Prabhavalkar, Rohit, Li, Dangna, Liu, Zhe, Wang, Bo, Chang, Eun, Peng, Fuchun, Kalinli, Ozlem, Seltzer, Michael L

    Published 27-01-2022
    “…We propose Neural-FST Class Language Model (NFCLM) for end-to-end speech recognition, a novel method that combines neural network language models (NNLMs) and…”
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    Journal Article
  6. 6

    Density Estimation via Discrepancy Based Adaptive Sequential Partition by Li, Dangna, Yang, Kun, Wong, Wing Hung

    Published 04-04-2014
    “…Given $iid$ observations from an unknown absolute continuous distribution defined on some domain $\Omega$, we propose a nonparametric method to learn a…”
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    Journal Article