Search Results - Cai, Leheng

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  1. 1
    Simultaneous inference and uniform test for eigensystems of functional data

    Simultaneous inference and uniform test for eigensystems of functional data by Cai, Leheng, Hu, Qirui

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  2. 2
    Global Inference and Test for Eigensystems of Imaging Data Over Complicated Domains

    Global Inference and Test for Eigensystems of Imaging Data Over Complicated Domains by Cai, Leheng, Hu, Qirui

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  3. 3
    Test and Measure for Partial Mean Dependence Based on Machine Learning Methods

    Test and Measure for Partial Mean Dependence Based on Machine Learning Methods by Cai, Leheng, Guo, Xu, Zhong, Wei

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  4. 4
    Tests for high-dimensional single-index models

    Tests for high-dimensional single-index models by Cai, Leheng, Guo, Xu, Li, Gaorong, Tan, Falong

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  5. 5
    From Sparse to Dense Functional Data: Phase Transitions from a Simultaneous Inference Perspective

    From Sparse to Dense Functional Data: Phase Transitions from a Simultaneous Inference Perspective by Cai, Leheng, Hu, Qirui

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  6. 6
    Test and Measure for Partial Mean Dependence Based on Machine Learning Methods

    Test and Measure for Partial Mean Dependence Based on Machine Learning Methods by Cai, Leheng, Guo, Xu, Zhong, Wei

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  7. 7
    Statistical inference for high-dimensional convoluted rank regression

    Statistical inference for high-dimensional convoluted rank regression by Cai, Leheng, Guo, Xu, Lian, Heng, Zhu, Liping

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  8. 8
    N-glycosylation proteome of endoplasmic reticulum in mouse liver by ConA affinity chromatography coupled with LTQ-FT mass spectrometry

    N-glycosylation proteome of endoplasmic reticulum in mouse liver by ConA affinity chromatography coupled with LTQ-FT mass spectrometry by Song, LiNa, Wang, JingLan, Liu, JinFeng, Lu, Zhuang, Sui, ShaoHui, Jia, Wei, Yang, Bing, Chi, Hao, Wang, LeHeng, He, SiMin, Yu, WenFeng, Meng, LingYan, Chen, Shuo, Peng, Xu, Liang, YiMin, Cai, Yun, Qian, XiaoHong

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  9. 9
    Empowering Collaborative Filtering with Principled Adversarial Contrastive Loss

    Empowering Collaborative Filtering with Principled Adversarial Contrastive Loss by Zhang, An, Sheng, Leheng, Cai, Zhibo, Wang, Xiang, Tat-Seng Chua

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