Researcher profile

Min Wang

5 papers in the PaperMetrix corpus

Publications

Papers by this author

  1. A Mes Pre-Processor Design In Multi-Source Information Fusion

    2015 · Zenodo (CERN European Organization for Nuclear Research)

    In multi-sources information fusion, because of the diversity of evidences, especially the imperfect evidences, it’s difficult to get a satisfied result. To avoid and reduce the influence of the mistaken or conflicting information on the …

  2. An expectation-maximization algorithm for estimating the parameters of the correlated binomial distribution

    2022 · arXiv (Cornell University)

    The correlated binomial (CB) distribution was proposed by Luceño (Computational Statistics $\&$ Data Analysis, 20, 1995, 511-520) as an alternative to the binomial distribution for the analysis of the data in the presence of correlations …

  3. A Meta-analysis on the Correlations Between Statistical Learning, Language and Reading Outcomes

    2023

    The purpose of this meta-analytic review is to investigate the relation between statisticallearning (SL) and language-related outcomes, and between SL and reading-related outcomes. Acomprehensive search of peer-reviewed published research resulted in 42 articles with 53independent …

  4. Electro-optically programmable photonic circuits enabled by wafer-scale integration on thin-film lithium niobate

    2023 · Physical Review Research

    Programmable photonic circuits performing universal linear-optical transformations underpin vital functions in photonic quantum information processing, quantum-enhanced sensor networks, machine learning, and many other intriguing applications. Recent advances in photonic integrated circuits facilitate monolithic integration of …

  5. Monolithically Integrated Optical Convolutional Processors on Thin Film Lithium Niobate

    2025 · arXiv (Cornell University)

    Photonic neural networks (PNNs) of sufficiently large physical dimensions and high operation accuracies are envisaged as an ideal candidate for breaking the major bottlenecks in the current artificial intelligence architectures in terms of latency, energy …