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Xiufan Yu

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2020 – today

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2024
[j2]
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  dblp key:
  - journals/cbm/ZhangYZ24
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  - https://dblp.org/rec/journals/cbm/ZhangYZ24
Cancan Zhang, Xiufan Yu, Bo Zhang:
Assessment of supervised longitudinal learning methods: Insights from predicting low birth weight and very low birth weight using prenatal ultrasound measurements. Comput. Biol. Medicine 182: 109084 (2024)
[i1]
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  - journals/corr/abs-2405-19610
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  - https://dblp.org/rec/journals/corr/abs-2405-19610
Guanhao Zhou, Yuefeng Han, Xiufan Yu:
Factor Augmented Tensor-on-Tensor Neural Networks. CoRR abs/2405.19610 (2024)
2023
[c3]
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  - conf/bigdataconf/NandyYLTBC23
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Preetam Nandy, Xiufan Yu, Wanjun Liu, Ye Tu, Kinjal Basu, Shaunak Chatterjee:
Generalized Causal Tree for Uplift Modeling. IEEE Big Data 2023: 788-798
[c2]
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  - conf/cikm/LiuYMWD23
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Wanjun Liu, Xiufan Yu, Jialiang Mao, Xiaoxu Wu, Justin Dyer:
Quantifying the Effectiveness of Advertising: A Bootstrap Proportion Test for Brand Lift Testing. CIKM 2023: 1627-1636
2022
[j1]
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  - journals/jmlr/LiuYL22
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  - https://dblp.org/rec/journals/jmlr/LiuYL22
Wanjun Liu, Xiufan Yu, Runze Li:
Multiple-Splitting Projection Test for High-Dimensional Mean Vectors. J. Mach. Learn. Res. 23: 71:1-71:27 (2022)
2020
[c1]
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  dblp key:
  - conf/pgm/YuSBGSX20
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Xiufan Yu, Karthikeyan Shanmugam, Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian, Lingzhou Xue:
Hawkesian Graphical Event Models. PGM 2020: 569-580

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