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2020 – today
- 2024
[j20]Taiyi Zhao, Yuchun Tang, Qiming Li, Jingquan Wang:
Enhancing urban system resilience to earthquake disasters: Impact of interdependence and resource allocation. Int. J. Crit. Infrastructure Prot. 45: 100673 (2024)- 2023
- [j19]Taiyi Zhao, Yuchun Tang, Qiming Li, Jingquan Wang:
Resilience-oriented network reconfiguration strategies for community emergency medical services. Reliab. Eng. Syst. Saf. 231: 109029 (2023) - 2020
- [j18]Feifei Xu, Xinting Ge, Yonggang Shi, Zhonghe Zhang, Yuchun Tang, Xiangtao Lin, Gaojun Teng
, Fengchao Zang, Nuonan Gao, Haihong Liu, Arthur W. Toga, Shuwei Liu:
Morphometric development of the human fetal cerebellum during the early second trimester. NeuroImage 207 (2020) - [j17]Wei Sun, Yuchun Tang, Yuchuan Qiao, Xinting Ge, Mara Mather, John M. Ringman, Yonggang Shi:
A probabilistic atlas of locus coeruleus pathways to transentorhinal cortex for connectome imaging in Alzheimer's disease. NeuroImage 223: 117301 (2020)
2010 – 2019
- 2018
- [j16]Wenting Zhao, Lijin Wang, Yilong Yin, Bingqing Wang, Yuchun Tang:
Sequential quadratic programming enhanced backtracking search algorithm. Frontiers Comput. Sci. 12(2): 316-330 (2018) - [j15]Yuchun Tang, Wei Sun, Arthur W. Toga, John M. Ringman, Yonggang Shi:
A probabilistic atlas of human brainstem pathways based on connectome imaging data. NeuroImage 169: 227-239 (2018) - [c18]Jin-Kyu Gahm, Yuchun Tang, Yonggang Shi:
Patch-Based Mapping of Transentorhinal Cortex with a Distributed Atlas. MICCAI (3) 2018: 689-697 - 2017
- [j14]Xiaoming Xi, Hao Shi, Lingyan Han, Tingwen Wang, Hong Yu Ding, Guang Zhang, Yuchun Tang, Yilong Yin:
Breast tumor segmentation with prior knowledge learning. Neurocomputing 237: 145-157 (2017) - [j13]Xiaoming Xi, Hui Xu, Hao Shi, Chunyun Zhang, Hong Yu Ding, Guang Zhang, Yuchun Tang, Yilong Yin:
Robust texture analysis of multi-modal images using Local Structure Preserving Ranklet and multi-task learning for breast tumor diagnosis. Neurocomputing 259: 210-218 (2017) - 2016
- [j12]Bingqing Wang, Lijin Wang, Yilong Yin, Yunlong Xu, Wenting Zhao, Yuchun Tang:
An Improved Neural Network with Random Weights Using Backtracking Search Algorithm. Neural Process. Lett. 44(1): 37-52 (2016) - 2015
- [j11]Xinting Ge, Yonggang Shi, Junning Li, Zhonghe Zhang, Xiangtao Lin, Jinfeng Zhan, Haitao Ge, Junhai Xu, Qiaowen Yu, Yuan Leng, Gaojun Teng, Lei Feng, Haiwei Meng, Yuchun Tang, Fengchao Zang, Arthur W. Toga, Shuwei Liu:
Development of the human fetal hippocampal formation during early second trimester. NeuroImage 119: 33-43 (2015) - 2013
- [j10]Jinfeng Zhan, Ivo D. Dinov, Junning Li, Zhonghe Zhang, Sam Hobel, Yonggang Shi, Xiangtao Lin, Alen Zamanyan, Lei Feng, Gaojun Teng, Fang Fang, Yuchun Tang, Fengchao Zang, Arthur W. Toga, Shuwei Liu:
Spatial-temporal atlas of human fetal brain development during the early second trimester. NeuroImage 82: 115-126 (2013) - 2010
- [j9]Yuchun Tang, Xiang Bai, Xingwei Yang, Liang Lin, Shuwei Liu, Longin Jan Latecki:
Skeletonization with Particle Filters. Int. J. Pattern Recognit. Artif. Intell. 24(4): 619-634 (2010) - [j8]Yuchun Tang, Cornelius Hojatkashani, Ivo D. Dinov, Bo Sun, Lingzhong Fan, Xiangtao Lin, Hengtao Qi, Xue Hua, Shuwei Liu, Arthur W. Toga:
The construction of a Chinese MRI brain atlas: A morphometric comparison study between Chinese and Caucasian cohorts. NeuroImage 51(1): 33-41 (2010) - [c17]Yuanchen He, Zhenyu Zhong, Sven Krasser, Yuchun Tang:
Mining DNS for malicious domain registrations. CollaborateCom 2010: 1-6
2000 – 2009
- 2009
- [j7]Yuchun Tang, Yan-Qing Zhang, Nitesh V. Chawla, Sven Krasser:
SVMs Modeling for Highly Imbalanced Classification. IEEE Trans. Syst. Man Cybern. Part B 39(1): 281-288 (2009) - 2008
- [j6]Yan-Qing Zhang, Bo Jin, Yuchun Tang:
Granular Neural Networks With Evolutionary Interval Learning. IEEE Trans. Fuzzy Syst. 16(2): 309-319 (2008) - [j5]Yuchun Tang, Yan-Qing Zhang, Zhen Huang, Xiaohua Hu, Yichuan Zhao:
Recursive Fuzzy Granulation for Gene Subsets Extraction and Cancer Classification. IEEE Trans. Inf. Technol. Biomed. 12(6): 723-730 (2008) - [c16]Yuchun Tang, Sven Krasser, Dmitri Alperovitch, Paul Judge:
Spam Sender Detection with Classification Modeling on Highly Imbalanced Mail Server Behavior Data. Artificial Intelligence and Pattern Recognition 2008: 174-180 - [c15]Yuchun Tang, Sven Krasser, Yuanchen He, Weilai Yang, Dmitri Alperovitch:
Support Vector Machines and Random Forests Modeling for Spam Senders Behavior Analysis. GLOBECOM 2008: 2174-2178 - [c14]Yuchun Tang, Yuanchen He, Sven Krasser:
Highly Scalable SVM Modeling with Random Granulation for Spam Sender Detection. ICMLA 2008: 659-664 - 2007
- [j4]Yuchun Tang, Yan-Qing Zhang, Zhen Huang:
Development of Two-Stage SVM-RFE Gene Selection Strategy for Microarray Expression Data Analysis. IEEE ACM Trans. Comput. Biol. Bioinform. 4(3): 365-381 (2007) - [j3]Xiaohua Hu, Bahrad A. Sokhansanj, Daniel Duanqing Wu, Yuchun Tang:
A Novel Approach for Mining and Fuzzy Simulation of Subnetworks From Large Biomolecular Networks. IEEE Trans. Fuzzy Syst. 15(6): 1219-1229 (2007) - [c13]Yan-Qing Zhang, Bo Jin, Yuchun Tang:
Genetic Granular Neural Networks. ISNN (2) 2007: 510-515 - 2006
- [j2]Yuanchen He, Yuchun Tang, Yan-Qing Zhang, Rajshekhar Sunderraman:
Adaptive Fuzzy Association Rule mining for effective decision support in biomedical applications. Int. J. Data Min. Bioinform. 1(1): 3-18 (2006) - [c12]Yuchun Tang, Sven Krasser, Paul Judge, Yan-Qing Zhang:
Fast and Effective Spam Sender Detection with Granular SVM on Highly Imbalanced Mail Server Behavior Data. CollaborateCom 2006 - [c11]Yuchun Tang, Yan-Qing Zhang:
Granular SVM with Repetitive Undersampling for Highly Imbalanced Protein Homology Prediction. GrC 2006: 457-460 - [c10]Yuanchen He, Yuchun Tang, Yan-Qing Zhang, Rajshekhar Sunderraman:
Mining fuzzy association rules from microarray gene expression data for leukemia classification. GrC 2006: 461-464 - [c9]Yuanchen He, Yuchun Tang, Yan-Qing Zhang, Rajshekhar Sunderraman:
Fuzzy-Granular Gene Selection from Microarray Expression Data. ICDM Workshops 2006: 153-157 - 2005
- [j1]Yuchun Tang, Bo Jin, Yan-Qing Zhang:
Granular support vector machines with association rules mining for protein homology prediction. Artif. Intell. Medicine 35(1-2): 121-134 (2005) - [c8]Yuchun Tang, Yan-Qing Zhang, Zhen Huang, Xiaohua Hu:
Granular SVM-RFE Gene Selection Algorithm for Reliable Prostate Cancer Classification on Microarray Expression Data. BIBE 2005: 290-293 - [c7]Yuchun Tang, Yuanchen He, Yan-Qing Zhang, Zhen Huang, Xiaohua Hu, Rajshekhar Sunderraman:
A Hybrid CI-Based Knowledge Discovery System on Microarray Gene Expression Data. CIBCB 2005: 25-30 - [c6]Yuchun Tang, Yan-Qing Zhang, Zhen Huang:
FCM-SVM-RFE Gene Feature Selection Algorithm for Leukemia Classification from Microarray Gene Expression Data. FUZZ-IEEE 2005: 97-101 - [c5]Yuchun Tang, Bo Jin, Yan-Qing Zhang, Hao Fang, Binghe Wang:
Granular Support Vector Machines Using Linear Decision Hyperplanes for Fast Medical Binary Classification. FUZZ-IEEE 2005: 138-142 - [c4]Bo Jin, Yuchun Tang, Yan-Qing Zhang, Chung-Dar Lu, Irene T. Weber:
Support Vector Machine with the Fuzzy Hybrid Kernel for Protein Subcellular Localization Classification. FUZZ-IEEE 2005: 420-423 - [c3]Yuchun Tang, Yan-Qing Zhang:
Granular support vector machines with data cleaning for fast and accurate biomedical binary classification. GrC 2005: 262-265 - [c2]Bo Jin, Yuchun Tang, Yan-Qing Zhang, Chung-Dar Lu, Irene T. Weber:
The Binary Multi-SVM Voting System for Protein Subcellular Localization Prediction. ICCSA (3) 2005: 299-308 - 2004
- [c1]Yuchun Tang, Bo Jin, Yi Sun, Yan-Qing Zhang:
Granular support vector machines for medical binary classification problems. CIBCB 2004: 73-78
Coauthor Index
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