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2020 – today
- 2021
[j3]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: 102130 (2021)- [j2]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: 164-177 (2021) - [c5]Nathan Liu, Carlos Moreno, Murray Dunne, Sebastian Fischmeister:
vProfile: Voltage-Based Anomaly Detection in Controller Area Networks. DATE 2021: 1142-1147
2010 – 2019
- 2016
- [c4]Avradeep Bhowmik, Nathan Liu, Erheng Zhong, Badri Narayan Bhaskar, Suju Rajan:
Geometry Aware Mappings for High Dimensional Sparse Factors. AISTATS 2016: 455-463 - [c3]Erheng Zhong, Yue Shi, Nathan Liu, Suju Rajan:
Scaling Factorization Machines with Parameter Server. CIKM 2016: 1583-1592 - [i2]Avradeep Bhowmik, Nathan Liu, Erheng Zhong, Badri Narayan Bhaskar, Suju Rajan:
Geometry Aware Mappings for High Dimensional Sparse Factors. CoRR abs/1605.04764 (2016) - 2015
- [c2]Sungjin Ahn, Anoop Korattikara, Nathan Liu, Suju Rajan, Max Welling:
Large-Scale Distributed Bayesian Matrix Factorization using Stochastic Gradient MCMC. KDD 2015: 9-18 - [c1]Erheng Zhong, Nathan Liu, Yue Shi, Suju Rajan:
Building Discriminative User Profiles for Large-scale Content Recommendation. KDD 2015: 2277-2286 - [i1]Sungjin Ahn, Anoop Korattikara Balan, Nathan Liu, Suju Rajan, Max Welling:
Large-Scale Distributed Bayesian Matrix Factorization using Stochastic Gradient MCMC. CoRR abs/1503.01596 (2015) - 2014
- [j1]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): 299-307 (2014)
Coauthor Index
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