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Journal Articles
- 2022
[j9]Peisen Yuan, Shuyun Qian, Zhaoyu Zhai
, José-Fernán Martínez, Huangliang Xu:
Study of chrysanthemum image phenotype on-line classification based on transfer learning and bilinear convolutional neural network. Comput. Electron. Agric. 194: 106679 (2022)- 2020
- [j8]Yi Sun, Peisen Yuan, Yuming Sun, Zhaoyu Zhai:
Hybrid Segmentation Algorithm for Medical Image Segmentation Based on Generating Adversarial Networks, Mutual Information and Multi-Scale Information. IEEE Access 8: 118957-118968 (2020) - 2019
- [j7]Peisen Yuan, Zhaoyu Zhai, José-Fernán Martínez, Huanliang Xu:
An End-to-End-Based Low Dimensional Binary Embedding for Chrysanthemum Phenotypic Petal Similarity Evaluation. IEEE Access 7: 152214-152223 (2019) - [j6]Xin Shu, Peisen Yuan, Haiyan Jiang, Darong Lai:
Multi-view uncorrelated discriminant analysis via dependence maximization. Appl. Intell. 49(2): 650-660 (2019) - [j5]Zhongshi Shao, Dechang Pi, Weishi Shao, Peisen Yuan:
An efficient discrete invasive weed optimization for blocking flow-shop scheduling problem. Eng. Appl. Artif. Intell. 78: 124-141 (2019) - [j4]Yi Chen, Peisen Yuan, Ming Qiu, Dechang Pi:
An indoor trajectory frequent pattern mining algorithm based on vague grid sequence. Expert Syst. Appl. 118: 614-624 (2019) - 2018
- [j3]Shougang Ren, Xingjian Gu, Peisen Yuan, Huanliang Xu:
An iterative paradigm of joint feature extraction and labeling for semi-supervised discriminant analysis. Neurocomputing 273: 466-480 (2018) - [j2]Shougang Ren, Sheng Wan, Xingjian Gu, Haoyun Wang, Peisen Yuan, Huanliang Xu:
基于多尺度空谱鉴别特征的高光谱图像分类 (Hyperspectral Image Classification Based on Multi-scale Discriminative Spatial-spectral Features). 计算机科学 45(12): 243-250 (2018) - 2014
- [j1]Peisen Yuan, Haoyun Wang, Jianghua Che, Shougang Ren, Huanliang Xu, Dechang Pi:
Approximate String Similarity Join using Hashing Techniques under Edit Distance Constraints. J. Softw. 9(10): 2721-2731 (2014)
Conference and Workshop Papers
- 2022
- [c10]Mengxia Zhu, Siqi Han, Peisen Yuan, Xuesong Lu:
Enhancing Programming Knowledge Tracing by Interacting Programming Skills and Student Code. LAK 2022: 438-443 - 2020
- [c9]Yi Sun, Peisen Yuan, Yuming Sun:
MM-GAN: 3D MRI Data Augmentation for Medical Image Segmentation via Generative Adversarial Networks. ICKG 2020: 227-234 - [c8]Yi Sun, Peisen Yuan:
IM-Net: Semantic Segmentation Algorithm for Medical Images Based on Mutual Information Maximization. KSEM (1) 2020: 397-405 - 2018
- [c7]Minxi Li, Jiali Mao, Xiaodong Qi, Peisen Yuan, Cheqing Jin:
Cloned Vehicle Behavior Analysis Framework. APWeb/WAIM (2) 2018: 223-231 - [c6]Peisen Yuan, Shougang Ren, Huanliang Xu, Jin Chen:
Chrysanthemum Abnormal Petal Type Classification using Random Forest and Over-sampling. BIBM 2018: 275-278 - 2014
- [c5]Peisen Yuan, Chaofeng Sha, Yi Sun:
Hash ^ed -Join: Approximate String Similarity Join with Hashing. DASFAA Workshops 2014: 217-229 - 2011
- [c4]Peisen Yuan, Chaofeng Sha, Xiaoling Wang, Bin Yang, Aoying Zhou:
Efficient Approximate Similarity Search Using Random Projection Learning. WAIM 2011: 517-529 - 2010
- [c3]Peisen Yuan, Xiaoling Wang, Chaofeng Sha, Ming Gao, Aoying Zhou:
GRAMS3: An Efficient Framework for XML Structural Similarity Search. DASFAA Workshops 2010: 422-433 - [c2]Peisen Yuan, Chaofeng Sha, Xiaoling Wang, Bin Yang, Aoying Zhou, Su Yang:
XML Structural Similarity Search Using MapReduce. WAIM 2010: 169-181 - 2006
- [c1]Dechang Pi, Xiaolin Qin, Peisen Yuan:
A Modified Fuzzy C-Means Algorithm for Association Rules Clustering. ICIC (2) 2006: 1093-1103
Coauthor Index
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