Search Results - "Wen, Liangjian"

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  1. 1

    Low-rank kernel learning for graph-based clustering by Kang, Zhao, Wen, Liangjian, Chen, Wenyu, Xu, Zenglin

    Published in Knowledge-based systems (01-01-2019)
    “…Constructing the adjacency graph is fundamental to graph-based clustering. Graph learning in kernel space has shown impressive performance on a number of…”
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    Journal Article
  2. 2

    A new optical model for photomultiplier tubes by Wang, Yaoguang, Cao, Guofu, Wen, Liangjian, Wang, Yifang

    “…It is critical to construct an accurate optical model of photomultiplier tubes (PMTs) in many applications to describe the angular and spectral responses of…”
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    Journal Article
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    Environmental radon control in the 700 m underground laboratory at JUNO by Cui, Chenyang, Zhao, Jie, Li, Gaosong, Zhang, Yongpeng, Guo, Cong, Qu, Zhenning, Wang, Yifang, Li, Xiaonan, Wen, Liangjian, He, Miao, Sisti, Monica

    “…The Jiangmen Underground Neutrino Observatory is constructing the world’s largest liquid scintillator detector, with a 20 kt target mass and approximately…”
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    Journal Article
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    The extraction of natural essential oils and terpenoids from plants by supercritical fluid by Liu, Hua, Zhan, Ruixu, Wen, Liangjian, Zhong, Zhenyu

    Published in E3S web of conferences (2021)
    “…In order to provide guidance for the improvement of supercritical fluid extraction technology in the extraction of natural volatile oil and terpenoids from…”
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    Journal Article Conference Proceeding
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    MVEB: Self-Supervised Learning With Multi-View Entropy Bottleneck by Wen, Liangjian, Wang, Xiasi, Liu, Jianzhuang, Xu, Zenglin

    “…Self-supervised learning aims to learn representation that can be effectively generalized to downstream tasks. Many self-supervised approaches regard two views…”
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    Journal Article
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    Structured pruning of recurrent neural networks through neuron selection by Wen, Liangjian, Zhang, Xuanyang, Bai, Haoli, Xu, Zenglin

    Published in Neural networks (01-03-2020)
    “…Recurrent neural networks (RNNs) have recently achieved remarkable successes in a number of applications. However, the huge sizes and computational burden of…”
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    Journal Article
  13. 13

    Cross-Scale Attention for Long-Term Time Series Forecasting by Wen, Liangjian, Hu, Quan, Guo, Cong, Hu, Ao, Zhang, Mingyi

    Published in IEEE signal processing letters (2024)
    “…Transformer-based models, especially PatchTST, have demonstrated remarkable success in time series forecasting tasks. However, the unique nature of time series…”
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    Journal Article
  14. 14

    A universal energy response model for determining the energy nonlinearity and resolution of $$e^\pm $$ and $$\gamma $$ in liquid scintillator detectors by Yu, Miao, Wen, Liangjian, Zhou, Xiang, Luo, Wuming

    “…Abstract Energy nonlinearity and resolution in liquid scintillator (LS) detectors are correlated and particle-dependent. A unified energy response model for…”
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    Journal Article
  15. 15

    A universal energy response model for determining the energy nonlinearity and resolution of e± and γ in liquid scintillator detectors by Yu, Miao, Wen, Liangjian, Zhou, Xiang, Luo, Wuming

    “…Energy nonlinearity and resolution in liquid scintillator (LS) detectors are correlated and particle-dependent. A unified energy response model for liquid…”
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    Journal Article
  16. 16

    A universal energy response model for determining the energy nonlinearity and resolution of [Formula omitted] and [Formula omitted] in liquid scintillator detectors by Yu, Miao, Wen, Liangjian, Zhou, Xiang, Luo, Wuming

    “…Energy nonlinearity and resolution in liquid scintillator (LS) detectors are correlated and particle-dependent. A unified energy response model for liquid…”
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    Journal Article
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    AFINet: Attentive Feature Integration Networks for image classification by Pan, Xinglin, Xu, Jing, Pan, Yu, Wen, Liangjian, Lin, Wenxiang, Bai, Kun, Fu, Hongguang, Xu, Zenglin

    Published in Neural networks (01-11-2022)
    “…Convolutional Neural Networks (CNNs) have achieved tremendous success in a number of learning tasks including image classification. Residual-like networks,…”
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    Journal Article
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    A practical approach of high precision U and Th concentration measurement in acrylic by Cao, Chuanya, Li, Nan, Yang, Xiaoyu, Zhao, Jie, Li, Yuanxia, Cai, Zhiyan, Wen, Liangjian, Luo, Xiaolan, Heng, Yuekun, Ding, Yayun

    “…The Jiangmen Underground Neutrino Observatory (JUNO) will build the world’s largest liquid scintillator detector to study neutrinos from various sources. The…”
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    Journal Article
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    Improving the energy uniformity for large liquid scintillator detectors by Huang, Guihong, Wang, Yifang, Luo, Wuming, Wen, Liangjian, Yu, Zeyuan, Li, Weidong, Cao, Guofu, Deng, Ziyan, Lin, Tao, Zou, Jiaheng, Yu, Miao

    “…It is challenging to achieve high precision energy resolution for large liquid scintillator detectors. Energy non-uniformity is one of the main obstacles. To…”
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    Journal Article