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ORCIDYi Hong 0002
Person information
- affiliation (PhD 2013): University of California, Los Angeles, Department of Computer Science, CA, USA
- affiliation (former): City University of Hong Kong, Department of Computer Science, Hong Kong
- affiliation (former): Shanghai Jiaotong University, Department of Computer Science and Engineering, China
Other persons with the same name
- Yi Hong — disambiguation page
- Yi Hong 0001
![[0000-0002-1284-891X]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-1284-891X")
— Monash University, Department of Electrical and Computer Systems Engineering, Clayton, VIC, Australia (and 4 more) - Yi Hong 0003 — Beijing Forestry University, School of Information, Beijing, China (and 2 more)
- Yi Hong 0004 — AgroParisTech, France
- Yi Hong 0005 — University of Leicester, Department of Computer Science, UK
- Yi Hong 0006 — Shanghai Jiao Tong University, China
- Yi Hong 0007 — MedaAnalytics, Inc. Emeryville, CA, USA (and 2 more)
- Yi Hong 0008 — Lanzhou University of Technology, Lanzhou, China
- Yi Hong 0009 — Wuhan University, Wuhan, China
- Yi Hong 0010 — Xi'an Jiaotong Liverpool University, China
- Yi Hong 0011 — Hunan University, Changsha, China
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2010 – 2019
- 2013
[b1]Yi Hong:
Global vs. Local: Component Based Learning for Classification and Image Understanding. University of California, Los Angeles, USA, 2013- 2011
- [j11]Helong Li, Yi Hong, Sam Kwong:
Subspace estimation of distribution algorithms: To perturb part of all variables in estimation of distribution algorithms. Appl. Soft Comput. 11(3): 2974-2989 (2011) - [j10]Helong Li, Sam Kwong, Yi Hong:
The convergence analysis and specification of the Population-Based Incremental Learning algorithm. Neurocomputing 74(11): 1868-1873 (2011) - 2010
- [c19]Yi Hong, Hanli Wang, Sam Kwong:
Image thresholding based on Random spatial sampling and Majority voting. ICMLC 2010: 746-751
2000 – 2009
- 2009
- [j9]Yi Hong, Sam Kwong, Hanli Wang, Qingsheng Ren:
Resampling-based selective clustering ensembles. Pattern Recognit. Lett. 30(3): 298-305 (2009) - [j8]Yi Hong, Sam Kwong:
Learning Assignment Order of Instances for the Constrained K-Means Clustering Algorithm. IEEE Trans. Syst. Man Cybern. Part B 39(2): 568-574 (2009) - [c18]Yi Hong, Guopu Zhu, Sam Kwong, Qingsheng Ren:
Estimation of distribution algorithms making use of both high quality and low quality individuals. FUZZ-IEEE 2009: 1806-1813 - [c17]Yi Hong, Sam Kwong, Hanli Wang:
Decision-based median filter using k-nearest noise-free pixels. ICASSP 2009: 1193-1196 - 2008
- [j7]Yuchou Chang, Dah-Jye Lee, Yi Hong, James K. Archibald:
Unsupervised Video Shot Detection Using Clustering Ensemble with a Color Global Scale-Invariant Feature Transform Descriptor. EURASIP J. Image Video Process. 2008 (2008) - [j6]Yuchou Chang, Dah-Jye Lee, Yi Hong, James K. Archibald, Dong Liang:
A Robust Color Image Quantization Algorithm Based on Knowledge Reuse of K-MeansClustering Ensemble. J. Multim. 3(2): 20-27 (2008) - [j5]Yi Hong, Sam Kwong, Yuchou Chang, Qingsheng Ren:
Unsupervised data pruning for clustering of noisy data. Knowl. Based Syst. 21(7): 612-616 (2008) - [j4]Yi Hong, Sam Kwong, Yuchou Chang, Qingsheng Ren:
Unsupervised feature selection using clustering ensembles and population based incremental learning algorithm. Pattern Recognit. 41(9): 2742-2756 (2008) - [j3]Yi Hong, Sam Kwong, Yuchou Chang, Qingsheng Ren:
Consensus unsupervised feature ranking from multiple views. Pattern Recognit. Lett. 29(5): 595-602 (2008) - [j2]Yi Hong, Sam Kwong:
To combine steady-state genetic algorithm and ensemble learning for data clustering. Pattern Recognit. Lett. 29(9): 1416-1423 (2008) - [c16]Yi Hong, Sam Kwong, Hanli Wang, Zhihui Xie, Qingsheng Ren:
SVPCGA: Selection on virtual population based compact genetic algorithm. IEEE Congress on Evolutionary Computation 2008: 265-272 - [c15]Yi Hong, Sam Kwong, Hanli Wang, Qingsheng Ren, Yuchou Chang:
Probabilistic and Graphical Model based Genetic Algorithm Driven Clustering with Instance-level Constraints. IEEE Congress on Evolutionary Computation 2008: 322-329 - [c14]Yi Hong, Sam Kwong, Hui Xiong, Qingsheng Ren:
Data clustering using virtual population based incremental learning algorithm with similarity matrix encoding strategy. GECCO 2008: 471-472 - [c13]Yi Hong, Sam Kwong, Hui Xiong, Qingsheng Ren:
Genetic-guided semi-supervised clustering algorithm with instance-level constraints. GECCO 2008: 1381-1388 - [c12]Yuchou Chang, Dah-Jye Lee, James K. Archibald, Yi Hong:
Unsupervised clustering using hyperclique pattern constraints. ICPR 2008: 1-4 - [c11]Yuchou Chang, Dah-Jye Lee, James K. Archibald, Yi Hong:
Using collaborative learning for image contrast enhancement. ICPR 2008: 1-4 - [c10]Yuchou Chang, Dah-Jye Lee, Yi Hong, James K. Archibald:
Unsupervised Video Shot Segmentation Using Global Color and Texture Information. ISVC (1) 2008: 460-467 - [c9]Yuchou Chang, Dah-Jye Lee, Yi Hong, James K. Archibald:
Edge Detection from Global and Local Views Using an Ensemble of Multiple Edge Detectors. ISVC (2) 2008: 934-941 - 2007
- [j1]Yi Hong, Qingsheng Ren, Jin Zeng:
Unit Bit Importance Evolutionary Algorithm. Soft Comput. 11(2): 115-122 (2007) - [c8]Yi Hong, Sam Kwong, Qingsheng Ren, Yi Xiong Wang:
A comprehensive comparison between real population based tournament selection and virtual population based tournament selection. IEEE Congress on Evolutionary Computation 2007: 445-452 - [c7]Yi Hong, Sam Kwong, Qingsheng Ren, Xiong Wang:
Over-Selection: An attempt to boost EDA under small population size. IEEE Congress on Evolutionary Computation 2007: 1075-1082 - 2005
- [c6]Yuchou Chang, Yue Zhou, Yonggang Wang, Yi Hong:
A Color Image Segmentation Algorithm by Using Region and Edge Information. Australian Conference on Artificial Intelligence 2005: 1237-1240 - [c5]Yi Hong, Qingsheng Ren, Jin Zeng:
Adaptive population size for univariate marginal distribution algorithm. Congress on Evolutionary Computation 2005: 1396-1402 - [c4]Yi Hong, Qingsheng Ren, Jin Zeng:
Optimization of noisy fitness functions with univariate marginal distribution algorithm. Congress on Evolutionary Computation 2005: 1410-1417 - [c3]Yi Hong, Qingsheng Ren, Jin Zeng:
Genetic drift in univariate marginal distribution algorithm. GECCO 2005: 745-746 - [c2]Yi Hong, Qingsheng Ren, Jin Zeng, Ying Zhang:
Search Space Filling and Shrinking Based to Solve Constraint Optimization Problems. ICIC (1) 2005: 986-994 - [c1]Yi Hong, Qingsheng Ren, Jin Zeng, Yuchou Chang:
Convergence of Estimation of Distribution Algorithms in Optimization of Additively Noisy Fitness Functions. ICTAI 2005: 219-223
Coauthor Index
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