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ORCIDXuan Liu 0007
Person information
- affiliation: Dalhousie University, Halifax, Canada
Other persons with the same name
- Xuan Liu — disambiguation page
- Xuan Liu 0001
![[0000-0002-1652-2466]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-1652-2466")
— Hunan University, College of Computer Science and Electronic Engineering, Changsha, China (and 1 more) - Xuan Liu 0002 — University of Missouri-Kansas City, Department of Computer Science Electrical Engineering, MO, USA
- Xuan Liu 0003 — Hunan University, College of Electrical and Information Engineering, Changsha, China (and 1 more)
- Xuan Liu 0004 — East China University of Science and Technology, School of Business, Shanghai, China (and 1 more)
- Xuan Liu 0005 — The University of Sydney, School of Electrical and Information Engineering, NSW, Australia
- Xuan Liu 0006 — Yangzhou University, College of Information Engineering, Yangzhou, China (and 1 more)
- Xuan Liu 0008 — Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology, China
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2010 – 2019
- 2018
[c15]Xuan Liu, Xiaoguang Wang, Stan Matwin:
Improving the Interpretability of Deep Neural Networks with Knowledge Distillation. ICDM Workshops 2018: 905-912- [c14]Xuan Liu, Xiaoguang Wang, Stan Matwin:
Interpretable Deep Convolutional Neural Networks via Meta-learning. IJCNN 2018: 1-9 - [i2]Xuan Liu, Xiaoguang Wang, Stan Matwin:
Interpretable Deep Convolutional Neural Networks via Meta-learning. CoRR abs/1802.00560 (2018) - [i1]Xuan Liu, Xiaoguang Wang, Stan Matwin:
Improving the Interpretability of Deep Neural Networks with Knowledge Distillation. CoRR abs/1812.10924 (2018) - 2017
- [c13]Xiang Jiang, Erico N. de Souza, Xuan Liu, Behrouz Haji Soleimani, Xiaoguang Wang, Daniel L. Silver, Stan Matwin:
Partition-wise Recurrent Neural Networks for Point-based AIS Trajectory Classification. ESANN 2017 - [c12]Xiang Jiang, Xuan Liu, Erico N. de Souza, Baifan Hu, Daniel L. Silver, Stan Matwin:
Improving point-based AIS trajectory classification with partition-wise gated recurrent units. IJCNN 2017: 4044-4051 - 2015
- [j2]Xuan Liu, Xiaoguang Wang, Stan Matwin, Nathalie Japkowicz:
Meta-MapReduce for scalable data mining. J. Big Data 2: 14 (2015) - 2014
- [j1]Xiaoguang Wang, Xuan Liu, Nathalie Japkowicz, Stan Matwin:
Automated Approach To Classification Of Mine-Like Objects Using Multiple-Aspect Sonar Images. J. Artif. Intell. Soft Comput. Res. 4(2): 133-148 (2014) - [c11]Xiaoguang Wang, Xuan Liu, Nathalie Japkowicz, Stan Matwin:
Ensemble of Multiple Kernel SVM Classifiers. Canadian AI 2014: 239-250 - [c10]Xiaoguang Wang, Xuan Liu, Bo Liu, Erico N. de Souza, Stan Matwin:
Vessel route anomaly detection with Hadoop MapReduce. IEEE BigData 2014: 25-30 - [c9]Xiaoguang Wang, Xuan Liu, Stan Matwin:
A distributed instance-weighted SVM algorithm on large-scale imbalanced datasets. IEEE BigData 2014: 45-51 - [c8]Xiaoguang Wang, Xuan Liu, Stan Matwin, Nathalie Japkowicz, Hongyu Guo:
A multi-view two-level classification method for generalized multi-instance problems. IEEE BigData 2014: 104-111 - [c7]Xiaoguang Wang, Xuan Liu, Stan Matwin, Nathalie Japkowicz:
Applying instance-weighted support vector machines to class imbalanced datasets. IEEE BigData 2014: 112-118 - [c6]Xiaoguang Wang, Xuan Liu, Nathalie Japkowicz, Stan Matwin, Bao Nguyen:
Automatic Target Recognition using multiple-aspect sonar images. IEEE Congress on Evolutionary Computation 2014: 2330-2337 - 2013
- [c5]Xiaoguang Wang, Stan Matwin, Nathalie Japkowicz, Xuan Liu:
Cost-Sensitive Boosting Algorithms for Imbalanced Multi-instance Datasets. Canadian AI 2013: 174-186 - [c4]Xuan Liu, Xiaoguang Wang, Nathalie Japkowicz, Stan Matwin:
An Ensemble Method Based on AdaBoost and Meta-Learning. Canadian AI 2013: 278-285 - [c3]Xuan Liu, Xiaoguang Wang, Stan Matwin, Nathalie Japkowicz:
Meta-learning for large scale machine learning with MapReduce. IEEE BigData 2013: 105-110 - [c2]Xiaoguang Wang, Xuan Liu, Nathalie Japkowicz, Stan Matwin:
Resampling and Cost-Sensitive Methods for Imbalanced Multi-instance Learning. ICDM Workshops 2013: 808-816 - 2012
- [c1]Xiaoguang Wang, Hang Shao, Nathalie Japkowicz, Stan Matwin, Xuan Liu, Alex Bourque, Bao Nguyen:
Using SVM with Adaptively Asymmetric MisClassification Costs for Mine-Like Objects Detection. ICMLA (2) 2012: 78-82
Coauthor Index
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