Yongguo Liu

According to our database, Yongguo Liu authored at least 62 papers between 2004 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

FRGEM: Feature integration pre-training based Gaussian embedding model for Chinese word representation.

Yun Zhang, Yongguo Liu, Jiajing Zhu, Zhi Chen, Fengli Zhang

Expert Syst. Appl., 2025

2024

TPBFS: two populations based feature selection method for medical data.

Haodi Quan, Yun Zhang, Qiaoqin Li, Yongguo Liu

Clust. Comput., November, 2024

HIFINet: Examination-Diagnosis-Treatment Hierarchical Feedback Interaction Network for Medication Recommendation.

Hengjie Zheng, Yongguo Liu, Shangming Yang, Yun Zhang, Jiajing Zhu, Zhi Chen

Neural Process. Lett., April, 2024

Shared Manifold Regularized Joint Feature Selection for Joint Classification and Regression in Alzheimer's Disease Diagnosis.

Zhi Chen, Yongguo Liu, Yun Zhang, Jiajing Zhu, Qiaoqin Li, Xindong Wu

IEEE Trans. Image Process., 2024

2023

A motion recognition model for upper-limb rehabilitation exercises.

Qiaoqin Li, Yongguo Liu, Jiajing Zhu, Zhi Chen, Lang Liu, Shangming Yang, Juan Li, Rongjiang Jin, Jing Tao, Lidian Chen

J. Ambient Intell. Humaniz. Comput., December, 2023

DAEM: Deep attributed embedding based multi-task learning for predicting adverse drug-drug interaction.

Jiajing Zhu, Yongguo Liu, Yun Zhang, Zhi Chen, Kun She, Rongsheng Tong

Expert Syst. Appl., April, 2023

A Word-Concept Heterogeneous Graph Convolutional Network for Short Text Classification.

Shigang Yang, Yongguo Liu, Yun Zhang, Jiajing Zhu

Neural Process. Lett., February, 2023

Orthogonal latent space learning with feature weighting and graph learning for multimodal Alzheimer's disease diagnosis.

Zhi Chen, Yongguo Liu, Yun Zhang, Qiaoqin Li, Alzheimer's Disease Neuroimaging Initiative

Medical Image Anal., 2023

A Weakly Supervised Deep Learning Model for Alzheimer's Disease Prognosis Using MRI and Incomplete Labels.

Zhi Chen, Yongguo Liu, Yun Zhang, Jiajing Zhu, Qiaoqin Li

Proceedings of the Neural Information Processing - 30th International Conference, 2023

DGDFS: Dependence Guided Discriminative Feature Selection for Predicting Adverse Drug-Drug Interaction : Extended Abstract.

Jiajing Zhu, Yongguo Liu, Chuanbiao Wen, Xindong Wu

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

DGDFS: Dependence Guided Discriminative Feature Selection for Predicting Adverse Drug-Drug Interaction.

Jiajing Zhu, Yongguo Liu, Chuanbiao Wen, Xindong Wu

IEEE Trans. Knowl. Data Eng., 2022

Adaptive Regularized Multiattribute Fuzzy Distance Learning for Predicting Adverse Drug-Drug Interaction.

Jiajing Zhu, Yongguo Liu, Yun Zhang, Zhi Chen, Xindong Wu

IEEE Trans. Fuzzy Syst., 2022

Multi-Attribute Discriminative Representation Learning for Prediction of Adverse Drug-Drug Interaction.

Jiajing Zhu, Yongguo Liu, Yun Zhang, Zhi Chen, Xindong Wu

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Exploring Chinese word embedding with similar context and reinforcement learning.

Yun Zhang, Yongguo Liu, Dongxiao Li, Shuangqing Zhai

Neural Comput. Appl., 2022

Low-rank sparse feature selection with incomplete labels for Alzheimer's disease progression prediction.

Zhi Chen, Yongguo Liu, Yun Zhang, Rongjiang Jin, Jing Tao, Lidian Chen

Comput. Biol. Medicine, 2022

2021

Attribute Supervised Probabilistic Dependent Matrix Tri-Factorization Model for the Prediction of Adverse Drug-Drug Interaction.

Jiajing Zhu, Yongguo Liu, Yun Zhang, Dongxiao Li

IEEE J. Biomed. Health Informatics, 2021

FSPRM: A Feature Subsequence Based Probability Representation Model for Chinese Word Embedding.

Yun Zhang, Yongguo Liu, Jiajing Zhu, Xindong Wu

IEEE ACM Trans. Audio Speech Lang. Process., 2021

Time-frequency deep metric learning for multivariate time series classification.

Zhi Chen, Yongguo Liu, Jiajing Zhu, Yun Zhang, Rongjiang Jin, Xia He, Jing Tao, Lidian Chen

Neurocomputing, 2021

Deep Multiple Metric Learning for Time Series Classification.

Zhi Chen, Yongguo Liu, Jiajing Zhu, Yun Zhang, Qiaoqin Li, Rongjiang Jin, Xia He

IEEE Access, 2021

A Character-Word Graph Attention Networks for Chinese Text Classification.

Shigang Yang, Yongguo Liu

Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

2020

Non-negative Matrix Factorization with Symmetric Manifold Regularization.

Shangming Yang, Yongguo Liu, Qiaoqin Li, Wen Yang, Yi Zhang, Chuanbiao Wen

Neural Process. Lett., 2020

Mining patterns of Chinese medicinal prescription for diabetes mellitus based on therapeutic effect.

Xiaolin Zhu, Yongguo Liu, Qiaoqin Li, Yi Zhang, Chuanbiao Wen

Multim. Tools Appl., 2020

MTMA: Multi-task multi-attribute learning for the prediction of adverse drug-drug interaction.

Jiajing Zhu, Yongguo Liu, Chuanbiao Wen

Knowl. Based Syst., 2020

GLLPA: A Graph Layout based Label Propagation Algorithm for community detection.

Yun Zhang, Yongguo Liu, Rongjiang Jin, Jing Tao, Lidian Chen, Xindong Wu

Knowl. Based Syst., 2020

A no self-edge stochastic block model and a heuristic algorithm for balanced anti-community detection in networks.

Jiajing Zhu, Yongguo Liu, Hao Wu, Zhi Chen, Yun Zhang, Shangming Yang, Changhong Yang, Wen Yang, Xindong Wu

Inf. Sci., 2020

LILPA: A label importance based label propagation algorithm for community detection with application to core drug discovery.

Yun Zhang, Yongguo Liu, Qiaoqin Li, Rongjiang Jin, Chuanbiao Wen

Neurocomputing, 2020

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.

Yun Zhang, Yongguo Liu, Jiajing Zhu, Shuangqing Zhai, Rongjiang Jin, Chuanbiao Wen

Comput. Math. Methods Medicine, 2020

NALPA: A Node Ability Based Label Propagation Algorithm for Community Detection.

Yun Zhang, Yongguo Liu, Jiajing Zhu, Changhong Yang, Wen Yang, Shuangqing Zhai

IEEE Access, 2020

Exploiting Linear Manifold Features With Parts-Based Representation in Various Scenes.

Qiaoqin Li, Yongguo Liu, Shangming Yang

IEEE Access, 2020

TCMKG: A Deep Learning Based Traditional Chinese Medicine Knowledge Graph Platform.

Ziqiang Zheng, Yongguo Liu, Yun Zhang, Chuanbiao Wen

Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020

2019

IHPreten: A novel supervised learning framework with attribute regularization for prediction of incompatible herb pair in traditional Chinese medicine.

Jiajing Zhu, Yongguo Liu, Yun Zhang, Zhi Chen, Qiaoqin Li, Shangming Yang, Xiaofeng Liu, Shuangqing Zhai, Yi Zhang, Chuanbiao Wen

Neurocomputing, 2019

An efficient frequent pattern mining algorithm using a highly compressed prefix tree.

Xiaolin Zhu, Yongguo Liu

Intell. Data Anal., 2019

Attribute weights-based clustering centres algorithm for initialising K-modes clustering.

Liwen Peng, Yongguo Liu

Clust. Comput., 2019

ANDERATION: A New Anti-Community Detection Algorithm and its Application to Explore Incompatibility of Traditional Chinese Medicine.

Qiaoqin Li, Yongguo Liu, Jiajing Zhu, Yonghua Xiao, Hao Wu, Xiaofeng Liu, Zijie Chen, Shuangqing Zhai

IEEE Access, 2019

Learning Chinese Word Embeddings from Stroke, Structure and Pinyin of Characters.

Yun Zhang, Yongguo Liu, Jiajing Zhu, Ziqiang Zheng, Xiaofeng Liu, Weiguang Wang, Zijie Chen, Shuangqing Zhai

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Ensemble biclustering gene expression data based on the spectral clustering.

Lu Yin, Yongguo Liu

Neural Comput. Appl., 2018

Mining Effective Patterns of Chinese Medicinal Formulae Using Top-k Weighted Association Rules for the Internet of Medical Things.

Xiaolin Zhu, Yongguo Liu, Qiaoqin Li, Yi Zhang, Chuanbiao Wen

IEEE Access, 2018

A Bidirectional Deep Manifold Model for Image Representation.

Shangming Yang, Yongguo Liu, Qiaoqing Li

Proceedings of the Fuzzy Systems and Data Mining IV, 2018

A Supervised Learning Framework for Prediction of Incompatible Herb Pair in Traditional Chinese Medicine.

Jiajing Zhu, Yongguo Liu, Shangming Yang, Shuangqing Zhai, Zhang Yi, Chuanbiao Wen

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

Gravitation Theory Based Model for Multi-Label Classification.

Liwen Peng, Yongguo Liu

Int. J. Comput. Commun. Control, 2017

2016

Ensemble cuckoo search biclustering of the gene expression data.

Lu Yin, Yongguo Liu

Proceedings of the 15th IEEE International Conference on Cognitive Informatics & Cognitive Computing , 2016

2011

Automatic clustering using genetic algorithms.

Yongguo Liu, Xindong Wu, Yi-Dong Shen

Appl. Math. Comput., 2011

2010

A Genetic Algorithm Based Clustering Approach with Tabu Operation and K-Means Operation.

Yongguo Liu, Hua Yan, Kefei Chen

J. Intell. Syst., 2010

On Using Tabu Search for RNA Secondary Structure Prediction.

Yongguo Liu, Jianrui Hao

J. Digit. Content Technol. its Appl., 2010

Data Clustering with Cat Swarm Optimization.

Yongguo Liu, Yi-Dong Shen

J. Convergence Inf. Technol., 2010

Predicting RNA secondary structure with Tabu Search.

Yongguo Liu, Jianrui Hao, Jun Peng

Proceedings of the 9th IEEE International Conference on Cognitive Informatics, 2010

2009

Blind Image Extraction by Using Local Smooth Information.

Mao Ye, Yongguo Liu, Ming Liu, Fan Li, Qihe Liu

Proceedings of the Fifth International Conference on Natural Computation, 2009

A Block Cipher Based on a Hybrid of Chaotic System and Feistel Network.

Jun Peng, Shangzhu Jin, Hailing Liu, Yongguo Liu

Proceedings of the Fifth International Conference on Natural Computation, 2009

Applying pLSA to region-based image categorization with soft vector quantization.

Hong Wu, Yongguo Liu, Mao Ye

Proceedings of the First International Conference on Internet Multimedia Computing and Service, 2009

2008

A tabu search approach for the minimum sum-of-squares clustering problem.

Yongguo Liu, Zhang Yi, Hong Wu, Mao Ye, Kefei Chen

Inf. Sci., 2008

A few online algorithms for extracting minor generalized eigenvectors.

Mao Ye, Yongguo Liu, Hong Wu, Qihe Liu

Proceedings of the International Joint Conference on Neural Networks, 2008

A Double-Piped iterated hash function based on a hybrid of chaotic maps.

Jun Peng, Du Zhang, Yongguo Liu, Xiaofeng Liao

Proceedings of the Seventh IEEE International Conference on Cognitive Informatics, 2008

2007

Clustering Using an Improved Hybrid Genetic Algorithm.

Yongguo Liu, Xiaorong Pu, Yi-Dong Shen, Zhang Yi, Xiaofeng Liao

Int. J. Artif. Intell. Tools, 2007

Multilayer Perceptron Networks Training Using Particle Swarm Optimization with Minimum Velocity Constraints.

Xiaorong Pu, Zhongjie Fang, Yongguo Liu

Proceedings of the Advances in Neural Networks, 2007

2006

An Improved Hybrid Genetic Clustering Algorithm.

Yongguo Liu, Jun Peng, Kefei Chen, Zhang Yi

Proceedings of the Advances in Artificial Intelligence, 4th Helenic Conference on AI, 2006

2005

A Hybrid Tabu Search Based Clustering Algorithm.

Yongguo Liu, Yan Liu, Libin Wang, Kefei Chen

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005

A Tabu Search Based Method for Minimum Sum of Squares Clustering.

Yongguo Liu, Libin Wang, Kefei Chen

Proceedings of the Pattern Recognition and Data Mining, 2005

A Tabu Clustering Method with DHB Operation and Mergence and Partition Operation.

Yongguo Liu, Dong Zheng, Shiqun Li, Libin Wang, Kefei Chen

Proceedings of the Discovery Science, 8th International Conference, 2005

A Novel Clustering Technique Based on Improved Noising Method.

Yongguo Liu, Wei Zhang, Dong Zheng, Kefei Chen

Proceedings of the Progress in Pattern Recognition, 2005

Clustering with Noising Method.

Yongguo Liu, Yan Liu, Kefei Chen

Proceedings of the Advanced Data Mining and Applications, First International Conference, 2005

2004

A genetic clustering method for intrusion detection.

Yongguo Liu, Kefei Chen, Xiaofeng Liao, Wei Zhang

Pattern Recognit., 2004

A Tabu Clustering algorithm for Intrusion Detection.

Yongguo Liu, Xiaofeng Liao, Xueming Li, Zhongfu Wu

Intell. Data Anal., 2004