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ORCIDBing-Yu Sun
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- affiliation: Chinese Academy of Sciences, Institute of Intelligent Machines, Hefei
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2010 – 2019
- 2017
[j16]Taosheng Xu
, Thuc Duy Le, Lin Liu, Ning Su, Rujing Wang, Bing-Yu Sun, Antonio Colaprico, Gianluca Bontempi, Jiuyong Li:
CancerSubtypes: an R/Bioconductor package for molecular cancer subtype identification, validation and visualization. Bioinform. 33(19): 3131-3133 (2017)- 2016
- [j15]Jiuyong Li, Thuc Duy Le, Lin Liu, Jixue Liu, Zhou Jin, Bing-Yu Sun, Saisai Ma:
From Observational Studies to Causal Rule Mining. ACM Trans. Intell. Syst. Technol. 7(2): 14:1-14:27 (2016) - 2015
- [j14]Youqiang Sun, Jiuyong Li, Jixue Liu, Christopher W. K. Chow, Bing-Yu Sun, Rujing Wang:
Using causal discovery for feature selection in multivariate numerical time series. Mach. Learn. 101(1-3): 377-395 (2015) - [j13]Bing-Yu Sun, Hailei Wang, Wenbo Li, Hui-Jing Wang, Jiuyong Li, Zhiqiang Du:
Constructing and Combining Orthogonal Projection Vectors for Ordinal Regression. Neural Process. Lett. 41(1): 139-155 (2015) - [i1]Jiuyong Li, Thuc Duy Le, Lin Liu, Jixue Liu, Zhou Jin, Bing-Yu Sun, Saisai Ma:
From Observational Studies to Causal Rule Mining. CoRR abs/1508.03819 (2015) - 2014
- [j12]Youqiang Sun, Jiuyong Li, Jixue Liu, Bing-Yu Sun, Christopher W. K. Chow:
An improvement of symbolic aggregate approximation distance measure for time series. Neurocomputing 138: 189-198 (2014) - [j11]Jiuyong Li, Jixue Liu, Hannu Toivonen, Kenji Satou, Youqiang Sun, Bing-Yu Sun:
Discovering statistically non-redundant subgroups. Knowl. Based Syst. 67: 315-327 (2014) - 2013
- [j10]Thuc Duy Le, Lin Liu, Anna Tsykin, Gregory J. Goodall, Bing Liu, Bing-Yu Sun, Jiuyong Li:
Inferring microRNA-mRNA causal regulatory relationships from expression data. Bioinform. 29(6): 765-771 (2013) - [j9]Xiaoming Zhang, Bing-Yu Sun, Tao Mei, Rujing Wang:
A Novel Evolutionary Algorithm Inspired by Beans Dispersal. Int. J. Comput. Intell. Syst. 6(1): 79-86 (2013) - [j8]Xiaoming Zhang, Hailei Wang, Bing-Yu Sun, Wenbo Li, Rujing Wang:
The Markov Model of Bean Optimization Algorithm and Its Convergence Analysis. Int. J. Comput. Intell. Syst. 6(4): 609-615 (2013) - [j7]Wenbo Li, Zhiqiang Du, Feng Ling, Dongbo Zhou, Hailei Wang, Yuanmiao Gui, Bing-Yu Sun, Xiaoming Zhang:
A Comparison of Land Surface Water Mapping Using the Normalized Difference Water Index from TM, ETM+ and ALI. Remote. Sens. 5(11): 5530-5549 (2013) - [c16]Youqiang Sun, Rujing Wang, Bing-Yu Sun, Wenbo Li, Feng Jiang:
Prediction about time series based on updated prediction ARMA model. FSKD 2013: 680-684 - [c15]Jiuyong Li, Thuc Duy Le, Lin Liu, Jixue Liu, Zhou Jin, Bing-Yu Sun:
Mining Causal Association Rules. ICDM Workshops 2013: 114-123 - 2012
- [c14]Xing-Ling Wang, Kang Jiang, Wenbo Li, Bing-Yu Sun:
Application of wavelet transform in image fusion based on remotely sensed data. FSKD 2012: 1745-1750 - [c13]Zhou Jin, Jiuyong Li, Lin Liu, Thuc Duy Le, Bing-Yu Sun, Rujing Wang:
Discovery of Causal Rules Using Partial Association. ICDM 2012: 309-318 - [c12]Xing-Ling Wang, Xue-Lian Wu, Bing-Yu Sun:
Factor selection and regression for forecasting relief food demand. ICNC 2012: 226-228 - [c11]Xiaoming Zhang, Kang Jiang, Hailei Wang, Wenbo Li, Bing-Yu Sun:
An Improved Bean Optimization Algorithm for Solving TSP. ICSI (1) 2012: 261-267 - 2011
- [j6]Bing-Yu Sun, Zhi-Hua Zhu, Jiuyong Li, Bin Linghu:
Combined Feature Selection and Cancer Prognosis Using Support Vector Machine Regression. IEEE ACM Trans. Comput. Biol. Bioinform. 8(6): 1671-1677 (2011) - 2010
- [j5]Bing-Yu Sun, Jiuyong Li, Desheng Dash Wu, Xiaoming Zhang, Wenbo Li:
Kernel Discriminant Learning for Ordinal Regression. IEEE Trans. Knowl. Data Eng. 22(6): 906-910 (2010) - [j4]Bing-Yu Sun, Xiaoming Zhang, Jiuyong Li, Xue-Min Mao:
Feature fusion using locally linear embedding for classification. IEEE Trans. Neural Networks 21(1): 163-168 (2010) - [c10]Bing-Yu Sun, Xiaoming Zhang, Wenbo Li:
An improved ordinal regression approach with Sum-of-Margin principle. ICNC 2010: 853-857
2000 – 2009
- 2009
- [c9]Deji Wang, Bo Xu, Faquan Zhang, Jianting Li, Guangcai Li, Bing-Yu Sun:
Climate Prediction by SVM Based on Initial Conditions. FSKD (5) 2009: 578-581 - [c8]Jingdong Tan, Rujing Wang, Bing-Yu Sun:
Visualizing the Result of Fuzzy Clustering Using GIS. WKDD 2009: 267-271 - 2008
- [c7]Bing-Yu Sun, Xiaoming Zhang, Rujing Wang:
Training SVMs for Multiple Features Classification Problems. ICNC (2) 2008: 217-221 - 2007
- [c6]Hansheng Lei, Bing-Yu Sun:
A Study on the Dynamic Time Warping in Kernel Machines. SITIS 2007: 839-845 - [c5]Bing-Yu Sun, Xiaoming Zhang, Rujing Wang:
On Constructing and Pruning SVM Ensembles. SITIS 2007: 855-859 - 2006
- [c4]Bing-Yu Sun, Moon-Chuen Lee:
Support Vector Machine for Multiple Feature Classification. ICME 2006: 501-504 - [c3]Minzhou Luo, Wei Lu, Bing-Yu Sun, Tao Mei:
Autonomous Grasping of a Space Robot Multisensory Gripper. IROS 2006: 1014-1019 - 2005
- [j3]Bing-Yu Sun, De-Shuang Huang, Hai-Tao Fang, Xing-Ming Yang:
A novel robust regression approach of Lidar signal based on modified least squares support vector machine. Int. J. Pattern Recognit. Artif. Intell. 19(5): 715-729 (2005) - [j2]Bing-Yu Sun, De-Shuang Huang, Hai-Tao Fang:
Lidar signal denoising using least-squares support vector machine. IEEE Signal Process. Lett. 12(2): 101-104 (2005) - 2004
- [j1]Zhong-Qiu Zhao, De-Shuang Huang, Bing-Yu Sun:
Human face recognition based on multi-features using neural networks committee. Pattern Recognit. Lett. 25(12): 1351-1358 (2004) - [c2]Bing-Yu Sun, De-Shuang Huang, Lin Guo, Zhong-Qiu Zhao:
Support Vector Machine Committee for Classification. ISNN (1) 2004: 648-653 - 2003
- [c1]Bing-Yu Sun, De-Shuang Huang:
Support vector clustering for multiclass classification problems. IEEE Congress on Evolutionary Computation 2003: 1480-1485
Coauthor Index
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