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Xiyang Luo

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2018
[b1]
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Xiyang Luo:
Analysis and Application of Graph-Based Semi-Supervised Learning Methods. University of California, Los Angeles, USA 2018
[i6]
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  - journals/corr/abs-1802-00168
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Bao Wang, Xiyang Luo, Zhen Li, Wei Zhu, Zuoqiang Shi, Stanley J. Osher:
Deep Learning with Data Dependent Implicit Activation Function. CoRR abs/1802.00168 (2018)
[i5]
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  - journals/corr/abs-1803-00067
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Alan Mackey, Xiyang Luo, Elad Eban:
Constrained Classification and Ranking via Quantiles. CoRR abs/1803.00067 (2018)
[i4]
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  - journals/corr/abs-1804-00684
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Bao Wang, Xiyang Luo, Fangbo Zhang, Baichuan Yuan, Andrea L. Bertozzi, P. Jeffrey Brantingham:
Graph-Based Deep Modeling and Real Time Forecasting of Sparse Spatio-Temporal Data. CoRR abs/1804.00684 (2018)
[i3]
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  - journals/corr/abs-1806-06317
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Stanley Osher, Bao Wang, Penghang Yin, Xiyang Luo, Minh Pham, Alex Lin:
Laplacian Smoothing Gradient Descent. CoRR abs/1806.06317 (2018)
[i2]
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  - journals/corr/abs-1810-02019
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Irwan Bello, Sayali Kulkarni, Sagar Jain, Craig Boutilier, Ed Huai-hsin Chi, Elad Eban, Xiyang Luo, Alan Mackey, Ofer Meshi:
Seq2Slate: Re-ranking and Slate Optimization with RNNs. CoRR abs/1810.02019 (2018)
2017
[i1]
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  - journals/corr/BertozziLSZ17
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Andrea L. Bertozzi, Xiyang Luo, Andrew M. Stuart, Konstantinos C. Zygalakis:
Uncertainty Quantification in the Classification of High Dimensional Data. CoRR abs/1703.08816 (2017)
2016
[c1]
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  - conf/ssiai/LuoW16
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Xiyang Luo, Brendt Wohlberg:
Convolutional Laplacian sparse coding. SSIAI 2016: 133-136

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