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Nathan Liu
Publication Activity (10 Years)
Years Active: 2014-2021
Publications (10 Years): 9
Top Topics
Matrix Factorization
High Dimension
Nearest Neighbor Classifier
User Profiles
Top Venues
CoRR
KDD
Artif. Intell. Medicine
AISTATS
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Publications
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Nan Du
,
Qing Cao
,
Li Yu
,
Nathan Liu
,
Erheng Zhong
,
Zizhu Liu
,
Ying Shen
,
Kang Chen
FM-ECG: A fine-grained multi-label framework for ECG image classification.
Inf. Sci.
549 (2021)
Qing Cao
,
Nan Du
,
Li Yu
,
Ming Zuo
,
Jingsheng Lin
,
Nathan Liu
,
Erheng Zhong
,
Zizhu Liu
,
Qiaoran Chen
,
Ying Shen
,
Kang Chen
Practical fine-grained learning based anomaly classification for ECG image.
Artif. Intell. Medicine
119 (2021)
Nathan Liu
,
Carlos Moreno
,
Murray Dunne
,
Sebastian Fischmeister
vProfile: Voltage-Based Anomaly Detection in Controller Area Networks.
DATE
(2021)
Avradeep Bhowmik
,
Nathan Liu
,
Erheng Zhong
,
Badri Narayan Bhaskar
,
Suju Rajan
Geometry Aware Mappings for High Dimensional Sparse Factors.
CoRR
(2016)
Avradeep Bhowmik
,
Nathan Liu
,
Erheng Zhong
,
Badri Narayan Bhaskar
,
Suju Rajan
Geometry Aware Mappings for High Dimensional Sparse Factors.
AISTATS
(2016)
Erheng Zhong
,
Yue Shi
,
Nathan Liu
,
Suju Rajan
Scaling Factorization Machines with Parameter Server.
CIKM
(2016)
Erheng Zhong
,
Nathan Liu
,
Yue Shi
,
Suju Rajan
Building Discriminative User Profiles for Large-scale Content Recommendation.
KDD
(2015)
Sungjin Ahn
,
Anoop Korattikara Balan
,
Nathan Liu
,
Suju Rajan
,
Max Welling
Large-Scale Distributed Bayesian Matrix Factorization using Stochastic Gradient MCMC.
CoRR
(2015)
Sungjin Ahn
,
Anoop Korattikara
,
Nathan Liu
,
Suju Rajan
,
Max Welling
Large-Scale Distributed Bayesian Matrix Factorization using Stochastic Gradient MCMC.
KDD
(2015)
Sungrim Moon
,
Serguei V. S. Pakhomov
,
Nathan Liu
,
James O. Ryan
,
Genevieve B. Melton
A sense inventory for clinical abbreviations and acronyms created using clinical notes and medical dictionary resources.
J. Am. Medical Informatics Assoc.
21 (2) (2014)