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2020 – today
- 2024
[j82]Shuo Li, Yan Liu
, Long-Chen Shen, He Yan, Jiangning Song, Dong-Jun Yu:
GMFGRN: a matrix factorization and graph neural network approach for gene regulatory network inference. Briefings Bioinform. 25(2) (2024)- [j81]Yi-Heng Zhu, Zi Liu, Yan Liu, Zhiwei Ji, Dong-Jun Yu:
ULDNA: integrating unsupervised multi-source language models with LSTM-attention network for high-accuracy protein-DNA binding site prediction. Briefings Bioinform. 25(2) (2024) - [j80]Jia-Shun Wu, Yan Liu, Fang Ge, Dong-Jun Yu:
Prediction of protein-ATP binding residues using multi-view feature learning via contextual-based co-attention network. Comput. Biol. Medicine 172: 108227 (2024) - [j79]He Yan, Yan Liu, Yanmeng Li, Qiaolin Ye, Dong-Jun Yu, Yong Qi:
Robust GEPSVM classifier: An efficient iterative optimization framework. Inf. Sci. 657: 119986 (2024) - [j78]Zi Liu, Chengxin Zhang, Qidi Zhang, Yang Zhang, Dong-Jun Yu:
TM-search: An Efficient and Effective Tool for Protein Structure Database Search. J. Chem. Inf. Model. 64(3): 1043-1049 (2024) - [j77]Ming Zhang, Chao Gong, Fang Ge, Dong-Jun Yu:
FCMSTrans: Accurate Prediction of Disease-Associated nsSNPs by Utilizing Multiscale Convolution and Deep Feature Combination within a Transformer Framework. J. Chem. Inf. Model. 64(4): 1394-1406 (2024) - [j76]Zihao Yan, Fang Ge, Yan Liu, Yumeng Zhang, Fuyi Li, Jiangning Song, Dong-Jun Yu:
TransEFVP: A Two-Stage Approach for the Prediction of Human Pathogenic Variants Based on Protein Sequence Embedding Fusion. J. Chem. Inf. Model. 64(4): 1407-1418 (2024) - [j75]Ming Zhang, Xiaohua Wang, Shanruo Xu, Fang Ge, Ian Costa Paixao, Jiangning Song, Dong-Jun Yu:
MetalTrans: A Biological Language Model-Based Approach for Predicting Disease-Associated Mutations in Protein Metal-Binding Sites. J. Chem. Inf. Model. 64(15): 6216-6229 (2024) - [j74]Dian Liu, Zi Liu, Yunpeng Xia, Zhikang Wang, Jiangning Song, Dong-Jun Yu:
TransC-ac4C: Identification of N4-Acetylcytidine (ac4C) Sites in mRNA Using Deep Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 21(5): 1403-1412 (2024) - 2023
- [j73]He Yan, Li Cheng, Qiaolin Ye, Dong-Jun Yu, Yong Qi:
Robust generalized canonical correlation analysis. Appl. Intell. 53(18): 21140-21155 (2023) - [j72]Fang Ge, Chen Li, Shahid Iqbal, Muhammad Arif, Fuyi Li, Maha A. Thafar, Zihao Yan, Apilak Worachartcheewan, Xiaofeng Xu, Jiangning Song, Dong-Jun Yu:
VPatho: a deep learning-based two-stage approach for accurate prediction of gain-of-function and loss-of-function variants. Briefings Bioinform. 24(1) (2023) - [j71]Yan Liu, Guo Wei, Chen Li, Long-Chen Shen, Robin B. Gasser, Jiangning Song, Dijun Chen, Dong-Jun Yu:
TripletCell: a deep metric learning framework for accurate annotation of cell types at the single-cell level. Briefings Bioinform. 24(3) (2023) - [j70]Matee Ullah, Fazal Hadi, Jiangning Song, Dong-Jun Yu:
PScL-2LSAESM: bioimage-based prediction of protein subcellular localization by integrating heterogeneous features with the two-level SAE-SM and mean ensemble method. Bioinform. 39(1) (2023) - [j69]Qunzhuo Wu, Zhaohong Deng, Wei Zhang, Xiaoyong Pan, Kup-Sze Choi, Yun Zuo, Hong-Bin Shen, Dong-Jun Yu:
MLNGCF: circRNA-disease associations prediction with multilayer attention neural graph-based collaborative filtering. Bioinform. 39(8) (2023) - [j68]Ying Zhang, Zhikang Wang, Yiwen Zhang, Shanshan Li, Yuming Guo, Jiangning Song, Dong-Jun Yu:
Interpretable prediction models for widespread m6A RNA modification across cell lines and tissues. Bioinform. 39(12) (2023) - [j67]Zi Liu, Yi-Heng Zhu, Long-Chen Shen, Xuan Xiao, Wangren Qiu, Dong-Jun Yu:
Integrating unsupervised language model with multi-view multiple sequence alignments for high-accuracy inter-chain contact prediction. Comput. Biol. Medicine 166: 107529 (2023) - [j66]Jing Ba, Pingxin Wang, Xibei Yang, Hualong Yu, Dongjun Yu:
Glee: A granularity filter for feature selection. Eng. Appl. Artif. Intell. 122: 106080 (2023) - [j65]Yan Liu, He Yan, Long-Chen Shen, Dong-Jun Yu:
Learning Cell Annotation under Multiple Reference Datasets by Multisource Domain Adaptation. J. Chem. Inf. Model. 63(1): 397-405 (2023) - [j64]Jun Hu, Wen-Wu Zeng, Ning-Xin Jia, Muhammad Arif, Dong-Jun Yu, Gui-Jun Zhang:
Improving DNA-Binding Protein Prediction Using Three-Part Sequence-Order Feature Extraction and a Deep Neural Network Algorithm. J. Chem. Inf. Model. 63(3): 1044-1057 (2023) - [j63]Fang Ge, Muhammad Arif, Zihao Yan, Hanin H. Alahmadi, Apilak Worachartcheewan, Dong-Jun Yu, Watshara Shoombuatong:
MMPatho: Leveraging Multilevel Consensus and Evolutionary Information for Enhanced Missense Mutation Pathogenic Prediction. J. Chem. Inf. Model. 63(22): 7239-7257 (2023) - [j62]Yang Hua, Xiaoning Song, Zhen-Hua Feng, Xiaojun Wu, Josef Kittler, Dong-Jun Yu:
CPInformer for Efficient and Robust Compound-Protein Interaction Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 20(1): 285-296 (2023) - [j61]Ying Zhang, Fang Ge, Fuyi Li, Xibei Yang, Jiangning Song, Dong-Jun Yu:
Prediction of Multiple Types of RNA Modifications via Biological Language Model. IEEE ACM Trans. Comput. Biol. Bioinform. 20(5): 3205-3214 (2023) - 2022
- [j60]Fang Ge, Ying Zhang, Jian Xu, Muhammad Arif, Jiangning Song, Dong-Jun Yu:
Prediction of disease-associated nsSNPs by integrating multi-scale ResNet models with deep feature fusion. Briefings Bioinform. 23(1) (2022) - [j59]Ke Han, Long-Chen Shen, Yi-Heng Zhu, Jian Xu, Jiangning Song, Dong-Jun Yu:
MAResNet: predicting transcription factor binding sites by combining multi-scale bottom-up and top-down attention and residual network. Briefings Bioinform. 23(1) (2022) - [j58]Qunzhuo Wu, Zhaohong Deng, Xiaoyong Pan, Hong-Bin Shen, Kup-Sze Choi, Shitong Wang, Jing Wu, Dong-Jun Yu:
MDGF-MCEC: a multi-view dual attention embedding model with cooperative ensemble learning for CircRNA-disease association prediction. Briefings Bioinform. 23(5) (2022) - [j57]Liang Rao, Ning-Xin Jia, Jun Hu, Dong-Jun Yu, Gui-Jun Zhang:
ATPdock: a template-based method for ATP-specific protein-ligand docking. Bioinform. 38(2): 556-558 (2022) - [j56]Matee Ullah, Fazal Hadi, Jiangning Song, Dong-Jun Yu:
PScL-DDCFPred: an ensemble deep learning-based approach for characterizing multiclass subcellular localization of human proteins from bioimage data. Bioinform. 38(16): 4019-4026 (2022) - [j55]He Yan, Liyong Fu, Yong Qi, Dong-Jun Yu, Qiaolin Ye:
Robust ensemble method for short-term traffic flow prediction. Future Gener. Comput. Syst. 133: 395-410 (2022) - [j54]Yi-Heng Zhu, Chengxin Zhang, Yan Liu, Gilbert S. Omenn, Peter L. Freddolino, Dong-Jun Yu, Yang Zhang:
TripletGO: Integrating Transcript Expression Profiles with Protein Homology Inferences for Gene Function Prediction. Genom. Proteom. Bioinform. 20(5): 1013-1027 (2022) - [j53]Lu-Xing Zhang, He Yan, Yan Liu, Jian Xu, Jiangning Song, Dong-Jun Yu:
Enhancing Characteristic Gene Selection and Tumor Classification by the Robust Laplacian Supervised Discriminative Sparse PCA. J. Chem. Inf. Model. 62(7): 1794-1807 (2022) - [j52]Shahid Iqbal, Fang Ge, Fuyi Li, Tatsuya Akutsu, Yuanting Zheng, Robin B. Gasser, Dong-Jun Yu, Geoffrey I. Webb, Jiangning Song:
PROST: AlphaFold2-aware Sequence-Based Predictor to Estimate Protein Stability Changes upon Missense Mutations. J. Chem. Inf. Model. 62(17): 4270-4282 (2022) - [j51]Guan-Yu Zhu, Yan Liu, Peng-Hao Wang, Xibei Yang, Dong-Jun Yu:
Learning Protein Embedding to Improve Protein Fold Recognition Using Deep Metric Learning. J. Chem. Inf. Model. 62(17): 4283-4291 (2022) - [j50]He Yan, Liyong Fu, Yong Qi, Li Cheng, Qiaolin Ye, Dong-Jun Yu:
Learning a robust classifier for short-term traffic state prediction. Knowl. Based Syst. 242: 108368 (2022) - [j49]Yi-Heng Zhu, Chengxin Zhang, Dong-Jun Yu, Yang Zhang:
Integrating unsupervised language model with triplet neural networks for protein gene ontology prediction. PLoS Comput. Biol. 18(12): 1010793 (2022) - [j48]He Yan, Liyong Fu, Tian'an Zhang, Jun Hu, Qiaolin Ye, Yong Qi, Dong-Jun Yu:
Robust distance metric optimization driven GEPSVM classifier for pattern classification. Pattern Recognit. 129: 108779 (2022) - [j47]Muhammad Arif, Muhammad Kabir, Saeed Ahmed, Abid Khan, Fang Ge, Adel Khelifi, Dong-Jun Yu:
DeepCPPred: A Deep Learning Framework for the Discrimination of Cell-Penetrating Peptides and Their Uptake Efficiencies. IEEE ACM Trans. Comput. Biol. Bioinform. 19(5): 2749-2759 (2022) - [j46]Jun Hu, Yan-Song Bai, Lin-Lin Zheng, Ning-Xin Jia, Dong-Jun Yu, Gui-Jun Zhang:
Protein-DNA Binding Residue Prediction via Bagging Strategy and Sequence-Based Cube-Format Feature. IEEE ACM Trans. Comput. Biol. Bioinform. 19(6): 3635-3645 (2022) - [j45]He Yan, Yong Qi, Qiaolin Ye, Dong-Jun Yu:
Robust Least Squares Twin Support Vector Regression With Adaptive FOA and PSO for Short-Term Traffic Flow Prediction. IEEE Trans. Intell. Transp. Syst. 23(9): 14542-14556 (2022) - 2021
- [j44]Yi-Heng Zhu, Jun Hu, Fang Ge, Fuyi Li, Jiangning Song, Yang Zhang, Dong-Jun Yu:
Accurate multistage prediction of protein crystallization propensity using deep-cascade forest with sequence-based features. Briefings Bioinform. 22(3) (2021) - [j43]Yan Liu, Yi-Heng Zhu, Xiaoning Song, Jiangning Song, Dong-Jun Yu:
Why can deep convolutional neural networks improve protein fold recognition? A visual explanation by interpretation. Briefings Bioinform. 22(5) (2021) - [j42]Long-Chen Shen, Yan Liu, Jiangning Song, Dong-Jun Yu:
SAResNet: self-attention residual network for predicting DNA-protein binding. Briefings Bioinform. 22(5) (2021) - [j41]Jing Xu, Fuyi Li, André Leier, Dongxu Xiang, Hsin-Hui Shen, Tatiana T. Marquez-Lago, Jian Li, Dong-Jun Yu, Jiangning Song:
Comprehensive assessment of machine learning-based methods for predicting antimicrobial peptides. Briefings Bioinform. 22(5) (2021) - [j40]Ying Zhang, Yan Liu, Jian Xu, Xiaoyu Wang, Xinxin Peng, Jiangning Song, Dong-Jun Yu:
Leveraging the attention mechanism to improve the identification of DNA N6-methyladenine sites. Briefings Bioinform. 22(6) (2021) - [j39]Yan Liu, Ke Han, Yi-Heng Zhu, Ying Zhang, Long-Chen Shen, Jiangning Song, Dong-Jun Yu:
Improving protein fold recognition using triplet network and ensemble deep learning. Briefings Bioinform. 22(6) (2021) - [j38]Matee Ullah, Ke Han, Fazal Hadi, Jian Xu, Jiangning Song, Dong-Jun Yu:
PScL-HDeep: image-based prediction of protein subcellular location in human tissue using ensemble learning of handcrafted and deep learned features with two-layer feature selection. Briefings Bioinform. 22(6) (2021) - [j37]Jun Hu, Liang Rao, Yi-Heng Zhu, Gui-Jun Zhang, Dong-Jun Yu:
TargetDBP+: Enhancing the Performance of Identifying DNA-Binding Proteins via Weighted Convolutional Features. J. Chem. Inf. Model. 61(1): 505-515 (2021) - [j36]Yang Li, Chengxin Zhang, Eric W. Bell, Wei Zheng, Xiaogen Zhou, Dong-Jun Yu, Yang Zhang:
Deducing high-accuracy protein contact-maps from a triplet of coevolutionary matrices through deep residual convolutional networks. PLoS Comput. Biol. 17(3) (2021) - [j35]Xiaoning Song, Yao Chen, Zhen-Hua Feng, Guosheng Hu, Dong-Jun Yu, Xiaojun Wu:
SP-GAN: Self-Growing and Pruning Generative Adversarial Networks. IEEE Trans. Neural Networks Learn. Syst. 32(6): 2458-2469 (2021) - 2020
- [j34]Muhammad Arif, Saeed Ahmad, Farman Ali, Ge Fang, Min Li, Dong-Jun Yu:
TargetCPP: accurate prediction of cell-penetrating peptides from optimized multi-scale features using gradient boost decision tree. J. Comput. Aided Mol. Des. 34(8): 841-856 (2020) - [j33]Ming-Cai Chen, Yang Li, Yi-Heng Zhu, Fang Ge, Dong-Jun Yu:
SSCpred: Single-Sequence-Based Protein Contact Prediction Using Deep Fully Convolutional Network. J. Chem. Inf. Model. 60(6): 3295-3303 (2020) - [j32]Jun Hu, Xiaogen Zhou, Yi-Heng Zhu, Dong-Jun Yu, Gui-Jun Zhang:
TargetDBP: Accurate DNA-Binding Protein Prediction Via Sequence-Based Multi-View Feature Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 17(4): 1419-1429 (2020) - [j31]Yanchao Li, Yongli Wang, Dong-Jun Yu, Ning Ye, Peng Hu, Ruxin Zhao:
ASCENT: Active Supervision for Semi-Supervised Learning. IEEE Trans. Knowl. Data Eng. 32(5): 868-882 (2020)
2010 – 2019
- 2019
- [j30]Yang Li, Jun Hu, Chengxin Zhang, Dong-Jun Yu, Yang Zhang:
ResPRE: high-accuracy protein contact prediction by coupling precision matrix with deep residual neural networks. Bioinform. 35(22): 4647-4655 (2019) - [j29]Yi-Heng Zhu, Jun Hu, Xiaoning Song, Dong-Jun Yu:
DNAPred: Accurate Identification of DNA-Binding Sites from Protein Sequence by Ensembled Hyperplane-Distance-Based Support Vector Machines. J. Chem. Inf. Model. 59(6): 3057-3071 (2019) - [j28]He Yan, Qiaolin Ye, Dong-Jun Yu:
Efficient and robust TWSVM classification via a minimum L1-norm distance metric criterion. Mach. Learn. 108(6): 993-1018 (2019) - [j27]Jingzheng Li, Xibei Yang, Xiaoning Song, Jinhai Li, Pingxin Wang, Dong-Jun Yu:
Neighborhood attribute reduction: a multi-criterion approach. Int. J. Mach. Learn. Cybern. 10(4): 731-742 (2019) - [j26]Xiaoning Song, Guosheng Hu, Jian-Hao Luo, Zhen-Hua Feng, Dong-Jun Yu, Xiao-Jun Wu:
Fast SRC using quadratic optimisation in downsized coefficient solution subspace. Signal Process. 161: 101-110 (2019) - [c13]Xiao-Rong Bao, Yi-Heng Zhu, Dong-Jun Yu:
DeepTF: Accurate Prediction of Transcription Factor Binding Sites by Combining Multi-scale Convolution and Long Short-Term Memory Neural Network. IScIDE (2) 2019: 126-138 - 2018
- [j25]Jun Hu, Zi Liu, Dong-Jun Yu, Yang Zhang:
LS-align: an atom-level, flexible ligand structural alignment algorithm for high-throughput virtual screening. Bioinform. 34(13): 2209-2218 (2018) - [j24]Jun Hu, Yang Li, Yang Zhang, Dong-Jun Yu:
ATPbind: Accurate Protein-ATP Binding Site Prediction by Combining Sequence-Profiling and Structure-Based Comparisons. J. Chem. Inf. Model. 58(2): 501-510 (2018) - [j23]He Yan, Qiaolin Ye, Tian'an Zhang, Dong-Jun Yu, Yiqing Xu:
L1-Norm GEPSVM Classifier Based on an Effective Iterative Algorithm for Classification. Neural Process. Lett. 48(1): 273-298 (2018) - [j22]He Yan, Qiaolin Ye, Tian'an Zhang, Dong-Jun Yu, Xia Yuan, Yiqing Xu, Liyong Fu:
Least squares twin bounded support vector machines based on L1-norm distance metric for classification. Pattern Recognit. 74: 434-447 (2018) - [j21]Chun-Qiu Xia, Ke Han, Yong Qi, Yang Zhang, Dong-Jun Yu:
A Self-Training Subspace Clustering Algorithm under Low-Rank Representation for Cancer Classification on Gene Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. 15(4): 1315-1324 (2018) - 2017
- [j20]Suping Xu, Xibei Yang, Hualong Yu, Dongjun Yu:
一种基于邻域协同表达的分类方法 (Neighborhood Collaborative Representation Based Classification Method). 计算机科学 44(9): 234-238 (2017) - [j19]Jun Hu, Yang Li, Ming Zhang, Xibei Yang, Hong-Bin Shen, Dong-Jun Yu:
Predicting Protein-DNA Binding Residues by Weightedly Combining Sequence-Based Features and Boosting Multiple SVMs. IEEE ACM Trans. Comput. Biol. Bioinform. 14(6): 1389-1398 (2017) - [c12]He Yan, Qiaolin Ye, Tian'an Zhang, Dong-Jun Yu:
Efficient and Robust TWSVM Classifier Based on L1-Norm Distance Metric for Pattern Classification. ACPR 2017: 436-441 - [c11]Jun Hu, Zi Liu, Dong-Jun Yu:
Enhancing Protein-ATP and Protein-ADP Binding Sites Prediction Using Supervised Instance-Transfer Learning. ACPR 2017: 759-763 - 2016
- [j18]Jun Hu, Yang Li, Jing-Yu Yang, Hong-Bin Shen, Dong-Jun Yu:
GPCR-drug interactions prediction using random forest with drug-association-matrix-based post-processing procedure. Comput. Biol. Chem. 60: 59-71 (2016) - [j17]Jun Hu, Yang Li, Wuxia Yan, Jing-Yu Yang, Hong-Bin Shen, Dong-Jun Yu:
KNN-based dynamic query-driven sample rescaling strategy for class imbalance learning. Neurocomputing 191: 363-373 (2016) - [j16]Zhisen Wei, Ke Han, Jing-Yu Yang, Hong-Bin Shen, Dong-Jun Yu:
Protein-protein interaction sites prediction by ensembling SVM and sample-weighted random forests. Neurocomputing 193: 201-212 (2016) - [j15]Hengrong Ju, Xibei Yang, Hualong Yu, Tongjun Li, Dong-Jun Yu, Jingyu Yang:
Cost-sensitive rough set approach. Inf. Sci. 355-356: 282-298 (2016) - [j14]Suping Xu, Xibei Yang, Hualong Yu, Dong-Jun Yu, Jingyu Yang, Eric C. C. Tsang:
Multi-label learning with label-specific feature reduction. Knowl. Based Syst. 104: 52-61 (2016) - 2015
- [j13]Xibei Yang, Yong Qi, Dong-Jun Yu, Hualong Yu, Jingyu Yang:
α-Dominance relation and rough sets in interval-valued information systems. Inf. Sci. 294: 334-347 (2015) - [j12]Dong-Jun Yu, Yang Li, Jun Hu, Xibei Yang, Jing-Yu Yang, Hong-Bin Shen:
Disulfide Connectivity Prediction Based on Modelled Protein 3D Structural Information and Random Forest Regression. IEEE ACM Trans. Comput. Biol. Bioinform. 12(3): 611-621 (2015) - [c10]Zhisen Wei, Jing-Yu Yang, Dong-Jun Yu:
Predicting Protein-Protein Interactions with Weighted PSSM Histogram and Random Forests. IScIDE (2) 2015: 326-335 - 2014
- [j11]Dong-Jun Yu, Jun Hu, Hui Yan, Xibei Yang, Jing-Yu Yang, Hong-Bin Shen:
Enhancing protein-vitamin binding residues prediction by multiple heterogeneous subspace SVMs ensemble. BMC Bioinform. 15: 297 (2014) - 2013
- [j10]Dong-Jun Yu, Jun Hu, Zhenmin Tang, Hong-Bin Shen, Jian Yang, Jing-Yu Yang:
Improving protein-ATP binding residues prediction by boosting SVMs with random under-sampling. Neurocomputing 104: 180-190 (2013) - [j9]Dong-Jun Yu, Jun Hu, Yan Huang, Hong-Bin Shen, Yong Qi, Zhenmin Tang, Jing-Yu Yang:
TargetATPsite: A template-free method for ATP-binding sites prediction with residue evolution image sparse representation and classifier ensemble. J. Comput. Chem. 34(11): 974-985 (2013) - [j8]Dong-Jun Yu, Jun Hu, Jing Yang, Hong-Bin Shen, Jinhui Tang, Jing-Yu Yang:
Designing Template-Free Predictor for Targeting Protein-Ligand Binding Sites with Classifier Ensemble and Spatial Clustering. IEEE ACM Trans. Comput. Biol. Bioinform. 10(4): 994-1008 (2013) - 2012
- [j7]Ya-Nan Zhang, Dong-Jun Yu, Shu-Sen Li, Yong-Xian Fan, Yan Huang, Hong-Bin Shen:
Predicting protein-ATP binding sites from primary sequence through fusing bi-profile sampling of multi-view features. BMC Bioinform. 13: 118 (2012) - [c9]Dongjun Yu, Jun Hu, Xiaoning Song, Yong Qi, Zhenmin Tang:
Supervised Kernel Self-Organizing Map. IScIDE 2012: 246-253
2000 – 2009
- 2009
- [j6]Xibei Yang, Tsau Young Lin, Jingyu Yang, Yan Li, Dongjun Yu:
Combination of interval-valued fuzzy set and soft set. Comput. Math. Appl. 58(3): 521-527 (2009) - [j5]Xibei Yang, Dongjun Yu, Jingyu Yang, Lihua Wei:
Dominance-based rough set approach to incomplete interval-valued information system. Data Knowl. Eng. 68(11): 1331-1347 (2009) - [j4]Xibei Yang, Dongjun Yu, Jingyu Yang, Xiaoning Song:
Difference Relation-Based Rough Set and Negative Rules in Incomplete Information System. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 17(5): 649-665 (2009) - [c8]Dongjun Yu, Jianfeng Lu, Jingyu Yang:
Geodesic Discriminant Analysis on Curved Riemannian Manifold. FSKD (5) 2009: 379-383 - [c7]Dongjun Yu, Edwin R. Hancock, William A. P. Smith:
A Riemannian Self-Organizing Map. ICIAP 2009: 229-238 - [c6]Dongjun Yu, Edwin R. Hancock, William A. P. Smith:
Learning a Self-organizing Map Model on a Riemannian Manifold. IMA Conference on the Mathematics of Surfaces 2009: 375-390 - 2008
- [j3]Xibei Yang, Jingyu Yang, Chen Wu, Dongjun Yu:
Dominance-based rough set approach and knowledge reductions in incomplete ordered information system. Inf. Sci. 178(4): 1219-1234 (2008) - 2007
- [c5]Xibei Yang, Dongjun Yu, Jingyu Yang, Chen Wu:
Generalization of Soft Set Theory: From Crisp to Fuzzy Case. ICFIE 2007: 345-354 - 2006
- [c4]Yu-Jie Zheng, Xiaojun Wu, Dongjun Yu, Jingyu Yang, Weidong Wang, Yong-Zhi Li:
Feature extraction by structured stepwise nonparametric maximum margin criterion. GrC 2006: 53-56 - [c3]Dongjun Yu, Xiaojun Wu, Jing-Yu Yang:
Quantitative Measurement for Fuzzy System to Input and Rule Perturbations. ICIC (2) 2006: 159-164 - [c2]Dongjun Yu, Yong Qi, Yong-Hong Xu, Jing-Yu Yang:
Kernel-SOM Based Visualization of Financial Time Series Forecasting. ICICIC (2) 2006: 470-473 - [c1]Yu-Jie Zheng, Jing-Yu Yang, Jian Yang, Xiaojun Wu, Dongjun Yu:
A Complete and Rapid Feature Extraction Method for Face Recognition. ICPR (3) 2006: 469-472 - 2004
- [j2]Yong Xu, Jing-Yu Yang, Jianfeng Lu, Dongjun Yu:
An efficient renovation on kernel Fisher discriminant analysis and face recognition experiments. Pattern Recognit. 37(10): 2091-2094 (2004) - 2003
- [j1]Shitong Wang, Dongjun Yu, Jing-Yu Yang:
Integrating rough set theory and fuzzy neural network to discover fuzzy rules. Intell. Data Anal. 7(1): 59-73 (2003)
Coauthor Index
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