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Linfeng Liu 0004

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affiliation (PhD 2022): Tufts University, Department of Computer Science, Medford, MA, USA

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2020 – today

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2023
[i5]
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  - journals/corr/abs-2306-09463
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Gabriel Appleby, Linfeng Liu, Li-Ping Liu:
Kriging Convolutional Networks. CoRR abs/2306.09463 (2023)
2022
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Linfeng Liu, Xu Han, Dawei Zhou, Li-Ping Liu:
Towards Accurate Subgraph Similarity Computation via Neural Graph Pruning. Trans. Mach. Learn. Res. 2022 (2022)
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  - journals/corr/abs-2210-10643
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Linfeng Liu, Xu Han, Dawei Zhou, Li-Ping Liu:
Towards Accurate Subgraph Similarity Computation via Neural Graph Pruning. CoRR abs/2210.10643 (2022)
2021
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Linfeng Liu, Michael C. Hughes, Soha Hassoun, Liping Liu:
Stochastic Iterative Graph Matching. ICML 2021: 6815-6825
[i3]
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  - journals/corr/abs-2103-15966
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Linfeng Liu, Michael C. Hughes, Liping Liu:
Modeling Graph Node Correlations with Neighbor Mixture Models. CoRR abs/2103.15966 (2021)
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Linfeng Liu, Michael C. Hughes, Soha Hassoun, Li-Ping Liu:
Stochastic Iterative Graph Matching. CoRR abs/2106.02206 (2021)
2020
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  - conf/aaai/ApplebyLL20
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Gabriel Appleby, Linfeng Liu, Liping Liu:
Kriging Convolutional Networks. AAAI 2020: 3187-3194
[c3]
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Linfeng Liu, Liping Liu:
Localizing and Amortizing: Efficient Inference for Gaussian Processes. ACML 2020: 823-836

2010 – 2019

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2019
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Linfeng Liu, Liping Liu:
Amortized Variational Inference with Graph Convolutional Networks for Gaussian Processes. AISTATS 2019: 2291-2300
2018
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  - journals/corr/abs-1809-02838
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Linfeng Liu, Liping Liu:
Non-Parametric Variational Inference with Graph Convolutional Networks for Gaussian Processes. CoRR abs/1809.02838 (2018)
2017
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Linfeng Liu, Soha Hassoun:
A Tool for Predicting the Dark Side of Enzymes. BCB 2017: 622

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