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ORCIDChang-an Yuan 0001
Chang-An Yuan 0001 – Changan Yuan 0001
Person information
- affiliation: Guangxi Teachers Education University, Nanning, China
- affiliation: Nanning Normal University, School of Computer and Information Engineering, China
- affiliation (PhD 2006): Sichuan University, Chengdu, China
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2020 – today
- 2024
[j53]Zipiao Zhu, Yang Liu, Chang-An Yuan, Xiao Qin, Feng Yang
:
A diffusion model multi-scale feature fusion network for imbalanced medical image classification research. Comput. Methods Programs Biomed. 256: 108384 (2024)- [j52]Pengrui Teng, Wenjian Liu, Xuesong Wang, Di Wu, Chang-an Yuan, Yuhu Cheng, De-Shuang Huang:
Beyond singular prototype: A prototype splitting strategy for few-shot medical image segmentation. Neurocomputing 597: 127990 (2024) - [j51]Xiao Qin, Changan Yuan, Jianhui Jiang, Long Chen:
Deep semi-supervised clustering based on pairwise constraints and sample similarity. Pattern Recognit. Lett. 178: 1-6 (2024) - [j50]Zhi-Peng Li, Hai-Long Su, Yong-Wu, Qinhu Zhang, Chang-an Yuan, Valeriya V. Gribova, Vladimir Fedorovich Filaretov, De-Shuang Huang:
Hierarchical Multiview Top-k Pooling With Deep-Q-Networks. IEEE Trans. Artif. Intell. 5(6): 2985-2996 (2024) - [e3]De-Shuang Huang, Prashan Premaratne, Changan Yuan:
Applied Intelligence - First International Conference, ICAI 2023, Nanning, China, December 8-12, 2023, Proceedings, Part I. Communications in Computer and Information Science 2014, Springer 2024, ISBN 978-981-97-0902-1 [contents] - [e2]De-Shuang Huang, Prashan Premaratne, Changan Yuan:
Applied Intelligence - First International Conference, ICAI 2023, Nanning, China, December 8-12, 2023, Proceedings, Part II. Communications in Computer and Information Science 2015, Springer 2024, ISBN 978-981-97-0826-0 [contents] - 2023
- [j49]Qinhu Zhang, Pengrui Teng, Siguo Wang, Ying He, Zhen Cui, Zhenghao Guo, Yixin Liu, Changan Yuan, Qi Liu, De-Shuang Huang:
Computational prediction and characterization of cell-type-specific and shared binding sites. Bioinform. 39(1) (2023) - [j48]Leon Wong, Lei Wang, Zhu-Hong You, Chang-An Yuan, Yu-An Huang, Mei-Yuan Cao:
GKLOMLI: a link prediction model for inferring miRNA-lncRNA interactions by using Gaussian kernel-based method on network profile and linear optimization algorithm. BMC Bioinform. 24(1): 188 (2023) - [j47]Xiaosen Li, Xiao Qin, Chengliang Huang, Yuer Lu, Jinyan Cheng, Liansheng Wang, Ou Liu, Jianwei Shuai, Chang-an Yuan:
SUnet: A multi-organ segmentation network based on multiple attention. Comput. Biol. Medicine 167: 107596 (2023) - [j46]Zhiheng Yu, Jian Yuan, Yongsheng Li, Chang-an Yuan, Song Deng:
A path planning algorithm for mobile robot based on water flow potential field method and beetle antennae search algorithm. Comput. Electr. Eng. 109(Part B): 108730 (2023) - [j45]Long Chen, Chang-An Yuan, Xiao Qin, Wei Sun, Xiaofeng Zhu:
Contrastive structure and texture fusion for image inpainting. Neurocomputing 536: 1-12 (2023) - [j44]Yong Wu, Guo-Dui He, Li-Hua Wen, Xiao Qin, Chang-an Yuan, Valeriya V. Gribova, Vladimir Fedorovich Filaretov, De-Shuang Huang:
Discriminative Local Representation Learning for Cross-Modality Visible-Thermal Person Re-Identification. IEEE Trans. Biom. Behav. Identity Sci. 5(1): 1-14 (2023) - [j43]Zheng-Wei Li, Qiankun Wang, Chang-An Yuan, Pengyong Han, Zhu-Hong You, Lei Wang:
Predicting MiRNA-Disease Associations by Graph Representation Learning Based on Jumping Knowledge Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 20(5): 2629-2638 (2023) - [j42]Qinhu Zhang, Youhong Xu, Siguo Wang, Yong Wu, Yuan-Nong Ye, Chang-An Yuan, Valeriya V. Gribova, Vladimir Fedorovich Filaretov, De-Shuang Huang:
Using Fully Convolutional Network to Locate Transcription Factor Binding Sites Based on DNA Sequence and Conservation Information. IEEE ACM Trans. Comput. Biol. Bioinform. 20(5): 2690-2699 (2023) - [j41]Yujie Mo, Yuhuan Chen, Yajie Lei, Liang Peng, Xiaoshuang Shi, Changan Yuan, Xiaofeng Zhu:
Multiplex Graph Representation Learning Via Dual Correlation Reduction. IEEE Trans. Knowl. Data Eng. 35(12): 12814-12827 (2023) - [c45]Alexey N. Zhirabok, Alexander V. Zuev, Vladimir F. Filaretov, Changan Yuan:
Interval Observers Design for Discrete-Time Linear Systems with Uncertainties. ICAI (2) 2023: 14-24 - [c44]Pengrui Teng, Yuhu Cheng, Xuesong Wang, Yi-Jie Pan, Changan Yuan:
Self-Guided Local Prototype Network for Few-Shot Medical Image Segmentation. ICAI (1) 2023: 23-33 - [c43]Vladimir F. Filaretov, Dmitry Yukhimets, Vitaly Oseledets, Changan Yuan:
Method of Visual Formation Control for Large Group of AUV in Environment with Obstacles. ICAI (2) 2023: 36-50 - [c42]Tianying Yan, Changhai Wang, Changan Yuan, De-Shuang Huang:
A Broader Study of Spectral Missing in Multi-spectral Vehicle Re-identification. ICAI (2) 2023: 51-63 - [c41]Aleksandr V. Zuev, L. S. Shchetkov, Eduard Sh. Mursalimov, Vladimir F. Filaretov, Changan Yuan:
Visual Servo Control System for AUV Stabilization. ICAI (2) 2023: 156-166 - 2022
- [j40]Faliang Huang, Chang-an Yuan, Yingzhou Bi, Jianbo Lu, Liqiong Lu, Xing Wang:
Multi-granular document-level sentiment topic analysis for online reviews. Appl. Intell. 52(7): 7723-7733 (2022) - [j39]Shaojie Qiao, Nan Han, Faliang Huang, Kun Yue, Tao Wu, Yugen Yi, Rui Mao, Chang-an Yuan:
LMNNB: Two-in-One imbalanced classification approach by combining metric learning and ensemble learning. Appl. Intell. 52(7): 7870-7889 (2022) - [j38]Yonghua Zhu, Junbo Ma, Changan Yuan, Xiaofeng Zhu:
Interpretable learning based Dynamic Graph Convolutional Networks for Alzheimer's Disease analysis. Inf. Fusion 77: 53-61 (2022) - [j37]Yingying Wan, Changan Yuan, Mengmeng Zhan, Long Chen:
Robust graph learning with graph convolutional network. Inf. Process. Manag. 59(3): 102916 (2022) - [j36]Nan Han, Shaojie Qiao, Kun Yue, Jianbin Huang, Qiang He, Tingting Tang, Faliang Huang, Chunlin He, Chang-an Yuan:
Algorithms for Trajectory Points Clustering in Location-based Social Networks. ACM Trans. Intell. Syst. Technol. 13(3): 43:1-43:29 (2022) - [j35]Faliang Huang, Xuelong Li, Changan Yuan, Shichao Zhang, Jilian Zhang, Shaojie Qiao:
Attention-Emotion-Enhanced Convolutional LSTM for Sentiment Analysis. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4332-4345 (2022) - [j34]Chang-an Yuan, Yonghua Zhu, Zhi Zhong, Wei Zheng, Xiaofeng Zhu:
Robust self-tuning multi-view clustering. World Wide Web 25(2): 489-512 (2022) - [c40]Alexey N. Zhirabok, Alexander V. Zuev, Vladimir F. Filaretov, Changan Yuan, Alexander Protcenko, Kim Chung Il:
Robust Virtual Sensors Design for Linear Systems. ICIC (3) 2022: 55-66 - [c39]Peng Lei, Chang-an Yuan, Hongjie Wu, Xingming Zhao:
Drug-Target Interaction Prediction Based on Graph Neural Network and Recommendation System. ICIC (2) 2022: 66-78 - [c38]Xianbao Tan, Chang-an Yuan, Hongjie Wu, Xingming Zhao:
Comprehensive Evaluation of BERT Model for DNA-Language for Prediction of DNA Sequence Binding Specificities in Fine-Tuning Phase. ICIC (2) 2022: 92-102 - [c37]Anton S. Gubankov, Dmitry Yukhimets, Vladimir F. Filaretov, Chang-an Yuan:
Geometric Parameters Calibration Method for Multilink Manipulators. ICIC (3) 2022: 93-105 - [c36]Hamdan Taleb, Zhipeng Li, Chang-an Yuan, Hongjie Wu, Xingming Zhao, Fahd A. Ghanem:
An Effective Method for Yemeni License Plate Recognition Based on Deep Neural Networks. ICIC (3) 2022: 304-314 - [c35]Quanyi Pu, Changan Yuan, Hongjie Wu, Xingming Zhao:
Local Feature for Visible-Thermal PReID Based on Transformer. ICIC (1) 2022: 352-362 - [c34]Vladimir F. Filaretov, Dmitry A. Yukhimets, Changan Yuan:
Development of AUV Two-Loop Sliding Control System with Considering of Thruster Dynamic. ICIC (3) 2022: 504-517 - [c33]Youhong Xu, Changan Yuan, Hongjie Wu, Xingming Zhao:
Using Deep Learning to Predict Transcription Factor Binding Sites Based on Multiple-omics Data. ICIC (1) 2022: 799-810 - 2021
- [j33]Zhenfeng Huang, Shaojie Qiao, Nan Han, Chang-an Yuan, Xuejiang Song, Yueqiang Xiao:
Survey on vehicle map matching techniques. CAAI Trans. Intell. Technol. 6(1): 55-71 (2021) - [j32]Chang-An Yuan, Zhi Zhong, Cong Lei, Xiaofeng Zhu, Rongyao Hu:
Adaptive reverse graph learning for robust subspace learning. Inf. Process. Manag. 58(6): 102733 (2021) - [j31]Shaojie Qiao, Guo-Ping Yang, Nan Han, Hao Chen, Faliang Huang, Kun Yue, Yugen Yi, Changan Yuan:
Cardinality Estimator: Processing SQL with a Vertical Scanning Convolutional Neural Network. J. Comput. Sci. Technol. 36(4): 762-777 (2021) - [j30]Xiaoming Ye, Shaojie Qiao, Nan Han, Kun Yue, Tao Wu, Li Yang, Faliang Huang, Chang-an Yuan:
Algorithm for detecting anomalous hosts based on group activity evolution. Knowl. Based Syst. 214: 106734 (2021) - [j29]Yong Wu, Kun Zhang, Di Wu, Chao Wang, Chang-an Yuan, Xiao Qin, Tao Zhu, Yuchuan Du, Hanli Wang, De-Shuang Huang:
Person Reidentification by Multiscale Feature Representation Learning With Random Batch Feature Mask. IEEE Trans. Cogn. Dev. Syst. 13(4): 865-874 (2021) - [c32]Si-Zhe Wan, Changan Yuan, Xiao Qin, Hongjie Wu:
Serialized Local Feature Representation Learning for Infrared-Visible Person Re-identification. ICIC (1) 2021: 264-273 - [c31]Xiao Qin, Yu Shi, Xiao Huang, Huiting Li, Jiangtao Huang, Changan Yuan, Chunxia Liu:
Attention-Based Deep Multi-scale Network for Plant Leaf Recognition. ICIC (1) 2021: 302-313 - [c30]Youhong Xu, Qinghu Zhang, Zhanheng Chen, Chang-an Yuan, Xiao Qin, Hongjie Wu:
Using Deep Learning to Predict Transcription Factor Binding Sites Combining Raw DNA Sequence, Evolutionary Information and Epigenomic Data. ICIC (3) 2021: 385-395 - [c29]Wenhui Liu, Changan Yuan, Xiao Qin, Hongjie Wu:
Plant Leaf Recognition Network Based on Fine-Grained Visual Classification. ICIC (1) 2021: 526-534 - 2020
- [j28]Dingxiang Liu, Shaojie Qiao, Nan Han, Tao Wu, Rui Mao, Yongqing Zhang, Changan Yuan, Yueqiang Xiao:
SOTB: Semi-Supervised Oversampling Approach Based on Trigonal Barycenter Theory. IEEE Access 8: 50180-50189 (2020) - [j27]Xiao Qin, Jianhui Jiang, Chang-An Yuan, Shaojie Qiao, Wei Fan:
Arbitrary Shape Natural Scene Text Detection Method Based on Soft Attention Mechanism and Dilated Convolution. IEEE Access 8: 122685-122694 (2020) - [j26]Faliang Huang, Changan Yuan, Yingzhou Bi, Jianbo Lu:
Exploiting Long-Term Dependency for Topic Sentiment Analysis. IEEE Access 8: 221963-221974 (2020) - [j25]Song Deng, Xiangpeng Xie, Chang-An Yuan, Lechan Yang, Xindong Wu:
Numerical sensitive data recognition based on hybrid gene expression programming for active distribution networks. Appl. Soft Comput. 91: 106213 (2020) - [j24]Liang Chen, Shaojie Qiao, Nan Han, Chang-an Yuan, Xuejiang Song, Ping Huang, Yueqiang Xiao:
Friendship prediction model based on factor graphs integrating geographical location. CAAI Trans. Intell. Technol. 5(3): 193-199 (2020) - [j23]Song Deng, Qingyuan Cai, Zi Zhang, Lechan Yang, Tinglei Huang, Changan Yuan:
Data filter function incremental mining based on feature selection in an active distribution network. IET Cyper-Phys. Syst.: Theory & Appl. 5(3): 301-309 (2020) - [j22]Nan Han, Shaojie Qiao, Guan Yuan, Rui Mao, Kun Yue, Changan Yuan:
A novel handover detection model via frequent trajectory patterns mining. Int. J. Mach. Learn. Cybern. 11(12): 2587-2606 (2020) - [c28]Ying He, Zhen Shen, Qinhu Zhang, Siguo Wang, Changan Yuan, Xiao Qin, Hongjie Wu, Xingming Zhao:
Three-Layer Dynamic Transfer Learning Language Model for E. Coli Promoter Classification. ICIC (2) 2020: 67-78 - [c27]Siguo Wang, Zhen Shen, Ying He, Qinhu Zhang, Changan Yuan, Xiao Qin, Hongjie Wu, Xingming Zhao:
A New Method Combining DNA Shape Features to Improve the Prediction Accuracy of Transcription Factor Binding Sites. ICIC (2) 2020: 79-89 - [c26]Yindong Zhang, Qinhu Zhang, Changan Yuan, Xiao Qin, Hongjie Wu, Xingming Zhao:
Predicting in-Vitro Transcription Factor Binding Sites with Deep Embedding Convolution Network. ICIC (2) 2020: 90-100 - [c25]Kun Zhang, Di Wu, Changan Yuan, Xiao Qin, Hongjie Wu, Xingming Zhao, Lijun Zhang, Yuchuan Du, Hanli Wang:
Random Occlusion Recovery with Noise Channel for Person Re-identification. ICIC (1) 2020: 183-191 - [c24]Zhipeng Li, Fei Wang, Hamdan Taleb, Changan Yuan, Xiao Qin, Hongjie Wu, Xingming Zhao, Lijun Zhang:
License Plate Detection and Recognition Technology for Complex Real Scenarios. ICIC (1) 2020: 241-256 - [c23]Xiao Qin, Chengcheng Huang, Junhua Wu, Changan Yuan:
A Classification Algorithm for Real Collar Images. ICIC (1) 2020: 355-366 - [c22]Hongwei Yang, Di Wu, Changan Yuan, Xiao Qin, Hongjie Wu, Xingming Zhao, Zhongqiu Zhao:
Plant Leaf Recognition Network Based on Feature Learning and Metric Learning. ICIC (1) 2020: 378-386 - [c21]Yong Wu, Si-Zhe Wan, Di Wu, Chao Wang, Changan Yuan, Xiao Qin, Hongjie Wu, Xingming Zhao:
Position Attention-Guided Learning for Infrared-Visible Person Re-identification. ICIC (1) 2020: 387-397
2010 – 2019
- 2019
- [j21]Di Wu, Hong-Wei Yang, De-Shuang Huang, Chang-An Yuan, Xiao Qin, Yang Zhao, Xin-Yong Zhao, Jian-Hong Sun:
Omnidirectional Feature Learning for Person Re-Identification. IEEE Access 7: 28402-28411 (2019) - [j20]Changan Yuan, Xiao Qin, Lechan Yang, Guangwei Gao, Song Deng:
A Novel Function Mining Algorithm Based on Attribute Reduction and Improved Gene Expression Programming. IEEE Access 7: 53365-53376 (2019) - [j19]Changan Yuan, Yong Wu, Xiao Qin, Shaojie Qiao, Yonghua Pan, Ping Huang, Dunhu Liu, Nan Han:
An effective image classification method for shallow densely connected convolution networks through squeezing and splitting techniques. Appl. Intell. 49(10): 3570-3586 (2019) - [j18]Di Wu, Si-Jia Zheng, Chang-An Yuan, De-Shuang Huang:
A deep model with combined losses for person re-identification. Cogn. Syst. Res. 54: 74-82 (2019) - [j17]Song Deng, Changan Yuan, Lechan Yang, Xiao Qin, Aihua Zhou:
Data recovery algorithm under intrusion attack for energy internet. Future Gener. Comput. Syst. 100: 109-121 (2019) - [j16]Di Wu, Si-Jia Zheng, Wenzheng Bao, Xiao-Ping (Steven) Zhang, Chang-An Yuan, De-Shuang Huang:
A novel deep model with multi-loss and efficient training for person re-identification. Neurocomputing 324: 69-75 (2019) - [j15]Di Wu, Si-Jia Zheng, Xiao-Ping (Steven) Zhang, Chang-An Yuan, Fei Cheng, Yang Zhao, Yong-Jun Lin, Zhong-Qiu Zhao, Yong-Li Jiang, De-Shuang Huang:
Deep learning-based methods for person re-identification: A comprehensive review. Neurocomputing 337: 354-371 (2019) - [j14]Xiao Qin, Wanting Ji, Ruili Wang, Changan Yuan:
Learnt dictionary based active learning method for environmental sound event tagging. Multim. Tools Appl. 78(20): 29493-29508 (2019) - [j13]Jianjun Wang, Feng Zhang, Jianwen Huang, Wendong Wang, Changan Yuan:
A nonconvex penalty function with integral convolution approximation for compressed sensing. Signal Process. 158: 116-128 (2019) - [j12]Lin Yuan, Lehang Guo, Chang-an Yuan, Youhua Zhang, Kyungsook Han, Asoke K. Nandi, Barry Honig, De-Shuang Huang:
Integration of Multi-Omics Data for Gene Regulatory Network Inference and Application to Breast Cancer. IEEE ACM Trans. Comput. Biol. Bioinform. 16(3): 782-791 (2019) - [c20]Wei Qin, Xue Cui, Chang-An Yuan, Xiao Qin, Li Shang, Zhi-Kai Huang, Si-Zhe Wan:
Flower Species Recognition System Combining Object Detection and Attention Mechanism. ICIC (3) 2019: 1-8 - [c19]Zhihao Jiao, Lijun Zhang, Chang-an Yuan, Xiao Qin, Li Shang:
Plant Leaf Recognition Based on Conditional Generative Adversarial Nets. ICIC (1) 2019: 312-319 - [c18]Yang Zheng, Chang-an Yuan, Li Shang, Zhi-Kai Huang:
Leaf Recognition Based on Capsule Network. ICIC (1) 2019: 320-325 - [c17]Wenbo Yu, Chang-An Yuan, Xiao Qin, Zhi-Kai Huang, Li Shang:
Hierarchical Attention Network for Predicting DNA-Protein Binding Sites. ICIC (2) 2019: 366-373 - [c16]Dailun Wang, Qinhu Zhang, Chang-An Yuan, Xiao Qin, Zhi-Kai Huang, Li Shang:
Motif Discovery via Convolutional Networks with K-mer Embedding. ICIC (2) 2019: 374-382 - 2018
- [j11]Song Deng, Changan Yuan, Lechan Yang, Liping Zhang:
Distributed electricity load forecasting model mining based on hybrid gene expression programming and cloud computing. Pattern Recognit. Lett. 109: 72-80 (2018) - [j10]Ruili Wang, Wanting Ji, Mingzhe Liu, Xun Wang, Jian Weng, Song Deng, Suying Gao, Chang-an Yuan:
Review on mining data from multiple data sources. Pattern Recognit. Lett. 109: 120-128 (2018) - [j9]Wenzheng Bao, Chang-An Yuan, Youhua Zhang, Kyungsook Han, Asoke K. Nandi, Barry Honig, De-Shuang Huang:
Mutli-Features Prediction of Protein Translational Modification Sites. IEEE ACM Trans. Comput. Biol. Bioinform. 15(5): 1453-1460 (2018) - [c15]Si-Jia Zheng, Di Wu, Fei Cheng, Yang Zhao, Chang-An Yuan, Xiao Qin, De-Shuang Huang:
A Simple and Effective Deep Model for Person Re-identification. ICIC (3) 2018: 223-228 - [c14]Di Wu, Si-Jia Zheng, Fei Cheng, Yang Zhao, Chang-An Yuan, Xiao Qin, Yong-Li Jiang, De-Shuang Huang:
A Hybrid Deep Model for Person Re-Identification. ICIC (3) 2018: 229-234 - [c13]Dezhu Li, Hongwei Yang, Chang-an Yuan, Xiao Qin:
Leaf Classification Utilizing Densely Connected Convolutional Networks with a Self-gated Activation Function. ICIC (3) 2018: 370-375 - [e1]Qingfeng Chen, Jia Wu, Shichao Zhang, Changan Yuan, Lynn Batten, Gang Li:
Applications and Techniques in Information Security - 9th International Conference, ATIS 2018, Nanning, China, November 9-11, 2018, Proceedings. Communications in Computer and Information Science 950, Springer 2018, ISBN 978-981-13-2906-7 [contents] - 2017
- [j8]Song Deng, Changan Yuan, Jiquan Yang, Aihua Zhou:
Distributed Mining for Content Filtering Function Based on Simulated Annealing and Gene Expression Programming in Active Distribution Network. IEEE Access 5: 2319-2328 (2017) - [j7]Lin Yuan, Chang-An Yuan, De-Shuang Huang:
FAACOSE: A Fast Adaptive Ant Colony Optimization Algorithm for Detecting SNP Epistasis. Complex. 2017: 5024867:1-5024867:10 (2017) - [j6]Wenzheng Bao, Zhenhua Huang, Chang-An Yuan, De-Shuang Huang:
Pupylation sites prediction with ensemble classification model. Int. J. Data Min. Bioinform. 18(2): 91-104 (2017) - [j5]Xiao Qin, Wei Liang, Changan Yuan, Tao Tang:
基于遗传优化谱聚类的图形分割方法 (Image Segmentation Algorithm of Spectral Clustering Optimized by Genetic). 计算机科学 44(1): 100-102 (2017) - [c12]Chong-Ya Li, Wenzheng Bao, Zhipeng Li, Youhua Zhang, Yong-Li Jiang, Chang-An Yuan:
Local Sensitive Low Rank Matrix Approximation via Nonconvex Optimization. ICIC (3) 2017: 771-781 - [c11]Chong-Ya Li, Lin Zhu, Wenzheng Bao, Yong-Li Jiang, Chang-An Yuan, De-Shuang Huang:
Convex local sensitive low rank matrix approximation. IJCNN 2017: 256-261 - 2016
- [j4]Wenjing Li, Yingzhou Bi, Xiaofeng Zhu, Chang-an Yuan, Xiang-bo Zhang:
Hybrid swarm intelligent parallel algorithm research based on multi-core clusters. Microprocess. Microsystems 47: 151-160 (2016) - 2014
- [j3]Yuan Rao, Jun Zhu, Chang-an Yuan, Zhao-Hui Jiang, Lei-yang Fu, Xing Shao, Ruchuan Wang:
Agent-based Multi-Service Routing for Polar-orbit LEO broadband satellite networks. Ad Hoc Networks 13: 575-597 (2014) - [j2]Yu-zhong Peng, Chang-an Yuan, Xiao Qin, Jiangtao Huang, YaBing Shi:
An improved Gene Expression Programming approach for symbolic regression problems. Neurocomputing 137: 293-301 (2014) - [j1]Yu-zhong Peng, Jie Li, Chang-an Yuan, Baoqin Hu:
Parameter Estimation Algorithm for Storm Intensity Model with Single Return Period Based on Multicellular Gene Expression Programming. J. Comput. 9(9): 2132-2138 (2014) - 2012
- [c10]Faliang Huang, Shichao Zhang, Changan Yuan, Zhi Zhong:
Memory Performance Prediction of Web Server Applications Based on Grey System Theory. APWeb 2012: 660-668 - 2010
- [c9]Hong-guo Cai, Chang-an Yuan, Jin-Guang Luo, Jin-de Huang:
A Novel GEP-Based Multiple-Layers Association Rule Mining Algorithm. CIS 2010: 68-72
2000 – 2009
- 2009
- [c8]Guangyuan Li, Qin Xiao, Qinbin Hu, Changan Yuan:
An efficient algorithm for mining frequent sequences in dynamic environment. GrC 2009: 329-333 - [c7]Yuan Rao, Ruchuan Wang, Chang-an Yuan:
Improving Gene Expression Programming Using Parallel Taboo Search. ICNC (3) 2009: 144-148 - [c6]Chao Ding, Chang-an Yuan, Xiao Qin, Yu-zhong Peng:
A Compression Algorithm for Multi-streams Based on GEP. WGEC 2009: 402-406 - 2008
- [c5]Yu-zhong Peng, Chang-an Yuan, Yan Wang, Xiao Qin:
SGDE-GEP: A Novel Algorithm of GEP. CSSE (1) 2008: 419-422 - 2005
- [c4]An-long Chen, Changjie Tang, Chang-an Yuan, Jing Peng, Jianjun Hu:
Mining Correlations Between Multi-streams Based on Haar Wavelet. ASIAN 2005: 270-271 - [c3]Jing Peng, Changjie Tang, Jing Zhang, Chang-an Yuan:
Evolutionary Algorithm Based on Overlapped Gene Expression. ICNC (3) 2005: 194-204 - [c2]Jianjun Hu, Changjie Tang, Jing Peng, Chuan Li, Chang-an Yuan, An-long Chen:
A Clustering Algorithm Based Absorbing Nearest Neighbors. WAIM 2005: 700-705 - 2004
- [c1]Jie Zuo, Changjie Tang, Chuan Li, Chang-an Yuan, An-long Chen:
Time Series Prediction Based on Gene Expression Programming. WAIM 2004: 55-64
Coauthor Index
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