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Yongguo Liu
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2020 – today
- 2024
- [j40]Haodi Quan, Yun Zhang, Qiaoqin Li, Yongguo Liu:
TPBFS: two populations based feature selection method for medical data. Clust. Comput. 27(8): 11553-11568 (2024) - [j39]Hengjie Zheng, Yongguo Liu, Shangming Yang, Yun Zhang, Jiajing Zhu, Zhi Chen:
HIFINet: Examination-Diagnosis-Treatment Hierarchical Feedback Interaction Network for Medication Recommendation. Neural Process. Lett. 56(2): 53 (2024) - [j38]Zhi Chen
, Yongguo Liu
Shared Manifold Regularized Joint Feature Selection for Joint Classification and Regression in Alzheimer's Disease Diagnosis. IEEE Trans. Image Process. 33: 2730-2745 (2024) - 2023
- [j37]Jiajing Zhu
DAEM: Deep attributed embedding based multi-task learning for predicting adverse drug-drug interaction. Expert Syst. Appl. 215: 119312 (2023) - [j36]Qiaoqin Li, Yongguo Liu
A motion recognition model for upper-limb rehabilitation exercises. J. Ambient Intell. Humaniz. Comput. 14(12): 16795-16805 (2023) - [j35]Zhi Chen
Orthogonal latent space learning with feature weighting and graph learning for multimodal Alzheimer's disease diagnosis. Medical Image Anal. 84: 102698 (2023) - [j34]Shigang Yang, Yongguo Liu
A Word-Concept Heterogeneous Graph Convolutional Network for Short Text Classification. Neural Process. Lett. 55(1): 735-750 (2023) - [c21]Jiajing Zhu, Yongguo Liu, Chuanbiao Wen, Xindong Wu:
DGDFS: Dependence Guided Discriminative Feature Selection for Predicting Adverse Drug-Drug Interaction : Extended Abstract. ICDE 2023: 3841-3842 - [c20]Zhi Chen, Yongguo Liu, Yun Zhang, Jiajing Zhu, Qiaoqin Li:
A Weakly Supervised Deep Learning Model for Alzheimer's Disease Prognosis Using MRI and Incomplete Labels. ICONIP (3) 2023: 172-185 - 2022
- [j33]Zhi Chen
Low-rank sparse feature selection with incomplete labels for Alzheimer's disease progression prediction. Comput. Biol. Medicine 147: 105705 (2022) - [j32]Yun Zhang, Yongguo Liu
Exploring Chinese word embedding with similar context and reinforcement learning. Neural Comput. Appl. 34(24): 22287-22302 (2022) - [j31]Jiajing Zhu
Multi-Attribute Discriminative Representation Learning for Prediction of Adverse Drug-Drug Interaction. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 10129-10144 (2022) - [j30]Jiajing Zhu, Yongguo Liu
Adaptive Regularized Multiattribute Fuzzy Distance Learning for Predicting Adverse Drug-Drug Interaction. IEEE Trans. Fuzzy Syst. 30(12): 5297-5311 (2022) - [j29]Jiajing Zhu
DGDFS: Dependence Guided Discriminative Feature Selection for Predicting Adverse Drug-Drug Interaction. IEEE Trans. Knowl. Data Eng. 34(1): 271-285 (2022) - 2021
- [j28]Zhi Chen
Deep Multiple Metric Learning for Time Series Classification. IEEE Access 9: 17829-17842 (2021) - [j27]Zhi Chen, Yongguo Liu, Jiajing Zhu, Yun Zhang, Rongjiang Jin, Xia He, Jing Tao
Time-frequency deep metric learning for multivariate time series classification. Neurocomputing 462: 221-237 (2021) - [j26]Yun Zhang
FSPRM: A Feature Subsequence Based Probability Representation Model for Chinese Word Embedding. IEEE ACM Trans. Audio Speech Lang. Process. 29: 1702-1716 (2021) - [j25]Jiajing Zhu
Attribute Supervised Probabilistic Dependent Matrix Tri-Factorization Model for the Prediction of Adverse Drug-Drug Interaction. IEEE J. Biomed. Health Informatics 25(7): 2820-2832 (2021) - [c19]Shigang Yang, Yongguo Liu:
A Character-Word Graph Attention Networks for Chinese Text Classification. ICBK 2021: 462-469 - 2020
- [j24]Yun Zhang
NALPA: A Node Ability Based Label Propagation Algorithm for Community Detection. IEEE Access 8: 46642-46664 (2020) - [j23]Qiaoqin Li
Exploiting Linear Manifold Features With Parts-Based Representation in Various Scenes. IEEE Access 8: 50045-50056 (2020) - [j22]Yun Zhang, Yongguo Liu, Jiajing Zhu, Shuangqing Zhai, Rongjiang Jin, Chuanbiao Wen:
A Semantic Analysis and Community Detection-Based Artificial Intelligence Model for Core Herb Discovery from the Literature: Taking Chronic Glomerulonephritis Treatment as a Case Study. Comput. Math. Methods Medicine 2020: 1862168:1-1862168:23 (2020) - [j21]Yun Zhang, Yongguo Liu, Qiaoqin Li, Rongjiang Jin, Chuanbiao Wen:
LILPA: A label importance based label propagation algorithm for community detection with application to core drug discovery. Neurocomputing 413: 107-133 (2020) - [j20]Jiajing Zhu, Yongguo Liu
A no self-edge stochastic block model and a heuristic algorithm for balanced anti-community detection in networks. Inf. Sci. 518: 95-112 (2020) - [j19]Jiajing Zhu, Yongguo Liu, Chuanbiao Wen:
MTMA: Multi-task multi-attribute learning for the prediction of adverse drug-drug interaction. Knowl. Based Syst. 199: 105978 (2020) - [j18]Yun Zhang, Yongguo Liu, Rongjiang Jin, Jing Tao
GLLPA: A Graph Layout based Label Propagation Algorithm for community detection. Knowl. Based Syst. 206: 106363 (2020) - [j17]Xiaolin Zhu, Yongguo Liu, Qiaoqin Li, Yi Zhang, Chuanbiao Wen:
Mining patterns of Chinese medicinal prescription for diabetes mellitus based on therapeutic effect. Multim. Tools Appl. 79(15-16): 10519-10532 (2020) - [j16]Shangming Yang, Yongguo Liu, Qiaoqin Li, Wen Yang, Yi Zhang, Chuanbiao Wen:
Non-negative Matrix Factorization with Symmetric Manifold Regularization. Neural Process. Lett. 51(1): 723-748 (2020) - [c18]Ziqiang Zheng, Yongguo Liu, Yun Zhang, Chuanbiao Wen:
TCMKG: A Deep Learning Based Traditional Chinese Medicine Knowledge Graph Platform. ICKG 2020: 560-564
2010 – 2019
- 2019
- [j15]Qiaoqin Li, Yongguo Liu
ANDERATION: A New Anti-Community Detection Algorithm and its Application to Explore Incompatibility of Traditional Chinese Medicine. IEEE Access 7: 113975-113987 (2019) - [j14]Liwen Peng, Yongguo Liu
Attribute weights-based clustering centres algorithm for initialising K-modes clustering. Clust. Comput. 22(Supplement): 6171-6179 (2019) - [j13]Xiaolin Zhu, Yongguo Liu:
An efficient frequent pattern mining algorithm using a highly compressed prefix tree. Intell. Data Anal. 23(S1): 153-173 (2019) - [j12]Jiajing Zhu, Yongguo Liu
IHPreten: A novel supervised learning framework with attribute regularization for prediction of incompatible herb pair in traditional Chinese medicine. Neurocomputing 338: 207-221 (2019) - [c17]Yun Zhang, Yongguo Liu, Jiajing Zhu, Ziqiang Zheng, Xiaofeng Liu, Weiguang Wang, Zijie Chen, Shuangqing Zhai:
Learning Chinese Word Embeddings from Stroke, Structure and Pinyin of Characters. CIKM 2019: 1011-1020 - 2018
- [j11]Xiaolin Zhu
Mining Effective Patterns of Chinese Medicinal Formulae Using Top-k Weighted Association Rules for the Internet of Medical Things. IEEE Access 6: 57840-57855 (2018) - [j10]Lu Yin, Yongguo Liu:
Ensemble biclustering gene expression data based on the spectral clustering. Neural Comput. Appl. 30(8): 2403-2416 (2018) - [c16]Jiajing Zhu, Yongguo Liu, Shangming Yang, Shuangqing Zhai, Zhang Yi, Chuanbiao Wen:
A Supervised Learning Framework for Prediction of Incompatible Herb Pair in Traditional Chinese Medicine. CIKM 2018: 1799-1802 - [c15]Shangming Yang, Yongguo Liu, Qiaoqing Li:
A Bidirectional Deep Manifold Model for Image Representation. FSDM 2018: 621-628 - 2017
- [j9]Liwen Peng, Yongguo Liu:
Gravitation Theory Based Model for Multi-Label Classification. Int. J. Comput. Commun. Control 12(5): 689-703 (2017) - 2016
- [c14]Lu Yin, Yongguo Liu:
Ensemble cuckoo search biclustering of the gene expression data. ICCI*CC 2016: 419-422 - 2011
- [j8]Yongguo Liu, Xindong Wu, Yi-Dong Shen:
Automatic clustering using genetic algorithms. Appl. Math. Comput. 218(4): 1267-1279 (2011) - 2010
- [j7]Yongguo Liu, Yi-Dong Shen:
Data Clustering with Cat Swarm Optimization. J. Convergence Inf. Technol. 5(8): 21-28 (2010) - [j6]Yongguo Liu, Jianrui Hao:
On Using Tabu Search for RNA Secondary Structure Prediction. J. Digit. Content Technol. its Appl. 4(9): 252-262 (2010) - [j5]Yongguo Liu, Hua Yan, Kefei Chen:
A Genetic Algorithm Based Clustering Approach with Tabu Operation and K-Means Operation. J. Intell. Syst. 19(1): 17-46 (2010) - [c13]Yongguo Liu, Jianrui Hao, Jun Peng
Predicting RNA secondary structure with Tabu Search. IEEE ICCI 2010: 409-414
2000 – 2009
- 2009
- [c12]Hong Wu, Yongguo Liu, Mao Ye:
Applying pLSA to region-based image categorization with soft vector quantization. ICIMCS 2009: 102-106 - [c11]Mao Ye, Yongguo Liu, Ming Liu, Fan Li, Qihe Liu:
Blind Image Extraction by Using Local Smooth Information. ICNC (3) 2009: 415-420 - [c10]Jun Peng
A Block Cipher Based on a Hybrid of Chaotic System and Feistel Network. ICNC (5) 2009: 427-431 - 2008
- [j4]Yongguo Liu, Zhang Yi, Hong Wu, Mao Ye
A tabu search approach for the minimum sum-of-squares clustering problem. Inf. Sci. 178(12): 2680-2704 (2008) - [c9]Jun Peng
A Double-Piped iterated hash function based on a hybrid of chaotic maps. IEEE ICCI 2008: 358-365 - [c8]Mao Ye, Yongguo Liu, Hong Wu, Qihe Liu:
A few online algorithms for extracting minor generalized eigenvectors. IJCNN 2008: 1714-1720 - 2007
- [j3]Yongguo Liu, Xiaorong Pu, Yi-Dong Shen, Zhang Yi, Xiaofeng Liao:
Clustering Using an Improved Hybrid Genetic Algorithm. Int. J. Artif. Intell. Tools 16(6): 919-934 (2007) - [c7]Xiaorong Pu, Zhongjie Fang, Yongguo Liu:
Multilayer Perceptron Networks Training Using Particle Swarm Optimization with Minimum Velocity Constraints. ISNN (3) 2007: 237-245 - 2006
- [c6]Yongguo Liu, Jun Peng
An Improved Hybrid Genetic Clustering Algorithm. SETN 2006: 192-202 - 2005
- [c5]Yongguo Liu, Yan Liu, Kefei Chen:
Clustering with Noising Method. ADMA 2005: 209-216 - [c4]Yongguo Liu, Wei Zhang, Dong Zheng, Kefei Chen:
A Novel Clustering Technique Based on Improved Noising Method. CIARP 2005: 81-92 - [c3]Yongguo Liu, Dong Zheng, Shiqun Li, Libin Wang, Kefei Chen:
A Tabu Clustering Method with DHB Operation and Mergence and Partition Operation. Discovery Science 2005: 380-382 - [c2]Yongguo Liu, Libin Wang, Kefei Chen:
A Tabu Search Based Method for Minimum Sum of Squares Clustering. ICAPR (1) 2005: 248-256 - [c1]Yongguo Liu, Yan Liu, Libin Wang, Kefei Chen:
A Hybrid Tabu Search Based Clustering Algorithm. KES (2) 2005: 186-192 - 2004
- [j2]Yongguo Liu, Xiaofeng Liao, Xueming Li, Zhongfu Wu:
A Tabu Clustering algorithm for Intrusion Detection. Intell. Data Anal. 8(4): 325-344 (2004) - [j1]Yongguo Liu, Kefei Chen, Xiaofeng Liao, Wei Zhang:
A genetic clustering method for intrusion detection. Pattern Recognit. 37(5): 927-942 (2004)
Coauthor Index
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last updated on 2024-10-01 21:41 CEST by the dblp team
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