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大学录取中的信息不对称
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学位论文撰写的基本规范
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学位论文撰写的基本规范
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Tuning-parameter-free propensity score matching approach for causal inference under shape restriction
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Tuning-parameter-free propensity score matching approach for causal inference under shape restriction
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“永历入缅”的文本解读
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“永历入缅”的文本解读
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Dr. Huimin Cheng is an Assistant Professor in the Department of Biostatistics at Boston University. She received her Ph.D. in statistics from the University of Georgia in 2023. Her methodological research focuses on statistical network analysis, graph deep learning, causal inference, machine learning, and Riemannian geometry. She has published more than 20 papers on IEEE TKDE、IEEE internet of things journal、ICLR and was awarded the Rafik B. Hariri Junior Faculty Fellow in 2024.
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Dr. Huimin Cheng is an Assistant Professor in the Department of Biostatistics at Boston University. She received her Ph.D. in statistics from the University of Georgia in 2023. Her methodological research focuses on statistical network analysis, graph deep learning, causal inference, machine learning, and Riemannian geometry. She has published more than 20 papers on IEEE TKDE、IEEE internet of things journal、ICLR and was awarded the Rafik B. Hariri Junior Faculty Fellow in 2024.
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论中西哲学之根本差别
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论中西哲学之根本差别
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复杂数据情况下的碳排放特征研究
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复杂数据情况下的碳排放特征研究
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定向和手性
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