Yongguo Liu - RankMe

69 papers A* 2A 2B 2C 2Journal 46Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive latent disease state learning for multimodal Alzheimer's disease biomarker detection with missing modalities. Pattern Recognit. Zhi Chen, Fengli Zhang, Yun Zhang, Jiajing Zhu, Qiaoqin Li, Yongguo Liu
2026	J	`jnl`	An explainable feature selection method through statistical reinforcement learning. Appl. Soft Comput. Haodi Quan, Yun Zhang, Qiaoqin Li, Yongguo Liu
2026	J	`jnl`	ECG-GTMD: A CVD diagnosis model based on graph-transformer with multi-domain fusion of spatiotemporal and band features. Inf. Sci. Lihan Xia, Yun Zhang, Chong Fu, Yongguo Liu
2026	A*	`conf`	Sarcopenia Assessment Model Based on Dual-Source Modal Graph. AAAI Wenxian Zheng, Zhi Chen, Qiaoqin Li, Rongyao Hu, Yongguo Liu
2025	—	`conf`	A Multimodal Attention-gated U-Net for Functional Near-infrared Spectroscopy Artifact Removal. BDIOT Junyi Luo, Ling He, Yingjie Huang, Dexiang Yang, Cuilan Wei, Yongguo Liu
2025	J	`jnl`	Enhanced Multimodal Low-Rank Embedding-Based Feature Selection Model for Multimodal Alzheimer's Disease Diagnosis. IEEE Trans. Medical Imaging Zhi Chen, Yongguo Liu, Yun Zhang, Jiajing Zhu, Qiaoqin Li, Xindong Wu
2025	J	`jnl`	FRGEM: Feature integration pre-training based Gaussian embedding model for Chinese word representation. Expert Syst. Appl. Yun Zhang, Yongguo Liu, Jiajing Zhu, Zhi Chen, Fengli Zhang
2025	J	`jnl`	Inner-character and Inner-word Features Based Representation Learning for Chinese Word Embedding. ACM Trans. Asian Low Resour. Lang. Inf. Process. Yun Zhang, Yongguo Liu, Jiajing Zhu, Zhi Chen, Shuangqing Zhai, Xindong Wu
2024	J	`jnl`	HIFINet: Examination-Diagnosis-Treatment Hierarchical Feedback Interaction Network for Medication Recommendation. Neural Process. Lett. Hengjie Zheng, Yongguo Liu, Shangming Yang, Yun Zhang, Jiajing Zhu, Zhi Chen
2024	J	`jnl`	Shared Manifold Regularized Joint Feature Selection for Joint Classification and Regression in Alzheimer's Disease Diagnosis. IEEE Trans. Image Process. Zhi Chen, Yongguo Liu, Yun Zhang, Jiajing Zhu, Qiaoqin Li, Xindong Wu
2024	J	`jnl`	TPBFS: two populations based feature selection method for medical data. Clust. Comput. Haodi Quan, Yun Zhang, Qiaoqin Li, Yongguo Liu
2023	—	`conf`	A Weakly Supervised Deep Learning Model for Alzheimer's Disease Prognosis Using MRI and Incomplete Labels. ICONIP (3) Zhi Chen, Yongguo Liu, Yun Zhang, Jiajing Zhu, Qiaoqin Li
2023	J	`jnl`	A Word-Concept Heterogeneous Graph Convolutional Network for Short Text Classification. Neural Process. Lett. Shigang Yang, Yongguo Liu, Yun Zhang, Jiajing Zhu
2023	J	`jnl`	A motion recognition model for upper-limb rehabilitation exercises. J. Ambient Intell. Humaniz. Comput. Qiaoqin Li, Yongguo Liu, Jiajing Zhu, Zhi Chen, Lang Liu, Shangming Yang, Juan Li, Rongjiang Jin, Jing Tao, Lidian Chen
2023	J	`jnl`	DAEM: Deep attributed embedding based multi-task learning for predicting adverse drug-drug interaction. Expert Syst. Appl. Jiajing Zhu, Yongguo Liu, Yun Zhang, Zhi Chen, Kun She, Rongsheng Tong
2023	A*	`conf`	DGDFS: Dependence Guided Discriminative Feature Selection for Predicting Adverse Drug-Drug Interaction : Extended Abstract. ICDE Jiajing Zhu, Yongguo Liu, Chuanbiao Wen, Xindong Wu
2023	J	`jnl`	Orthogonal latent space learning with feature weighting and graph learning for multimodal Alzheimer's disease diagnosis. Medical Image Anal. Zhi Chen, Yongguo Liu, Yun Zhang, Qiaoqin Li, Alzheimer's Disease Neuroimaging Initiative
2022	J	`jnl`	Adaptive Regularized Multiattribute Fuzzy Distance Learning for Predicting Adverse Drug-Drug Interaction. IEEE Trans. Fuzzy Syst. Jiajing Zhu, Yongguo Liu, Yun Zhang, Zhi Chen, Xindong Wu
2022	J	`jnl`	DGDFS: Dependence Guided Discriminative Feature Selection for Predicting Adverse Drug-Drug Interaction. IEEE Trans. Knowl. Data Eng. Jiajing Zhu, Yongguo Liu, Chuanbiao Wen, Xindong Wu
2022	J	`jnl`	Exploring Chinese word embedding with similar context and reinforcement learning. Neural Comput. Appl. Yun Zhang, Yongguo Liu, Dongxiao Li, Shuangqing Zhai
2022	J	`jnl`	Low-rank sparse feature selection with incomplete labels for Alzheimer's disease progression prediction. Comput. Biol. Medicine Zhi Chen, Yongguo Liu, Yun Zhang, Rongjiang Jin, Jing Tao, Lidian Chen
2022	J	`jnl`	Multi-Attribute Discriminative Representation Learning for Prediction of Adverse Drug-Drug Interaction. IEEE Trans. Pattern Anal. Mach. Intell. Jiajing Zhu, Yongguo Liu, Yun Zhang, Zhi Chen, Xindong Wu
2021	—	`conf`	A Character-Word Graph Attention Networks for Chinese Text Classification. ICBK Shigang Yang, Yongguo Liu
2021	J	`jnl`	Attribute Supervised Probabilistic Dependent Matrix Tri-Factorization Model for the Prediction of Adverse Drug-Drug Interaction. IEEE J. Biomed. Health Informatics Jiajing Zhu, Yongguo Liu, Yun Zhang, Dongxiao Li
2021	J	`jnl`	Deep Multiple Metric Learning for Time Series Classification. IEEE Access Zhi Chen, Yongguo Liu, Jiajing Zhu, Yun Zhang, Qiaoqin Li, Rongjiang Jin, Xia He
2021	J	`jnl`	FSPRM: A Feature Subsequence Based Probability Representation Model for Chinese Word Embedding. IEEE ACM Trans. Audio Speech Lang. Process. Yun Zhang, Yongguo Liu, Jiajing Zhu, Xindong Wu
2021	J	`jnl`	Time-frequency deep metric learning for multivariate time series classification. Neurocomputing Zhi Chen, Yongguo Liu, Jiajing Zhu, Yun Zhang, Rongjiang Jin, Xia He, Jing Tao, Lidian Chen
2020	J	`jnl`	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 Yun Zhang, Yongguo Liu, Jiajing Zhu, Shuangqing Zhai, Rongjiang Jin, Chuanbiao Wen
2020	J	`jnl`	A no self-edge stochastic block model and a heuristic algorithm for balanced anti-community detection in networks. Inf. Sci. Jiajing Zhu, Yongguo Liu, Hao Wu, Zhi Chen, Yun Zhang, Shangming Yang, Changhong Yang, Wen Yang, Xindong Wu
2020	J	`jnl`	Exploiting Linear Manifold Features With Parts-Based Representation in Various Scenes. IEEE Access Qiaoqin Li, Yongguo Liu, Shangming Yang
2020	J	`jnl`	GLLPA: A Graph Layout based Label Propagation Algorithm for community detection. Knowl. Based Syst. Yun Zhang, Yongguo Liu, Rongjiang Jin, Jing Tao, Lidian Chen, Xindong Wu
2020	J	`jnl`	LILPA: A label importance based label propagation algorithm for community detection with application to core drug discovery. Neurocomputing Yun Zhang, Yongguo Liu, Qiaoqin Li, Rongjiang Jin, Chuanbiao Wen
2020	J	`jnl`	MTMA: Multi-task multi-attribute learning for the prediction of adverse drug-drug interaction. Knowl. Based Syst. Jiajing Zhu, Yongguo Liu, Chuanbiao Wen
2020	J	`jnl`	Mining patterns of Chinese medicinal prescription for diabetes mellitus based on therapeutic effect. Multim. Tools Appl. Xiaolin Zhu, Yongguo Liu, Qiaoqin Li, Yi Zhang, Chuanbiao Wen
2020	J	`jnl`	NALPA: A Node Ability Based Label Propagation Algorithm for Community Detection. IEEE Access Yun Zhang, Yongguo Liu, Jiajing Zhu, Changhong Yang, Wen Yang, Shuangqing Zhai
2020	J	`jnl`	Non-negative Matrix Factorization with Symmetric Manifold Regularization. Neural Process. Lett. Shangming Yang, Yongguo Liu, Qiaoqin Li, Wen Yang, Yi Zhang, Chuanbiao Wen
2020	—	`conf`	TCMKG: A Deep Learning Based Traditional Chinese Medicine Knowledge Graph Platform. ICKG Ziqiang Zheng, Yongguo Liu, Yun Zhang, Chuanbiao Wen
2019	J	`jnl`	ANDERATION: A New Anti-Community Detection Algorithm and its Application to Explore Incompatibility of Traditional Chinese Medicine. IEEE Access Qiaoqin Li, Yongguo Liu, Jiajing Zhu, Yonghua Xiao, Hao Wu, Xiaofeng Liu, Zijie Chen, Shuangqing Zhai
2019	J	`jnl`	An efficient frequent pattern mining algorithm using a highly compressed prefix tree. Intell. Data Anal. Xiaolin Zhu, Yongguo Liu
2019	J	`jnl`	Attribute weights-based clustering centres algorithm for initialising K-modes clustering. Clust. Comput. Liwen Peng, Yongguo Liu
2019	J	`jnl`	IHPreten: A novel supervised learning framework with attribute regularization for prediction of incompatible herb pair in traditional Chinese medicine. Neurocomputing Jiajing Zhu, Yongguo Liu, Yun Zhang, Zhi Chen, Qiaoqin Li, Shangming Yang, Xiaofeng Liu, Shuangqing Zhai, Yi Zhang, Chuanbiao Wen
2019	A	`conf`	Learning Chinese Word Embeddings from Stroke, Structure and Pinyin of Characters. CIKM Yun Zhang, Yongguo Liu, Jiajing Zhu, Ziqiang Zheng, Xiaofeng Liu, Weiguang Wang, Zijie Chen, Shuangqing Zhai
2018	—	`conf`	A Bidirectional Deep Manifold Model for Image Representation. FSDM Shangming Yang, Yongguo Liu, Qiaoqing Li
2018	A	`conf`	A Supervised Learning Framework for Prediction of Incompatible Herb Pair in Traditional Chinese Medicine. CIKM Jiajing Zhu, Yongguo Liu, Shangming Yang, Shuangqing Zhai, Zhang Yi, Chuanbiao Wen
2018	J	`jnl`	Ensemble biclustering gene expression data based on the spectral clustering. Neural Comput. Appl. Lu Yin, Yongguo Liu
2018	J	`jnl`	Mining Effective Patterns of Chinese Medicinal Formulae Using Top-k Weighted Association Rules for the Internet of Medical Things. IEEE Access Xiaolin Zhu, Yongguo Liu, Qiaoqin Li, Yi Zhang, Chuanbiao Wen
2017	J	`jnl`	Gravitation Theory Based Model for Multi-Label Classification. Int. J. Comput. Commun. Control Liwen Peng, Yongguo Liu
2016	—	`conf`	Ensemble cuckoo search biclustering of the gene expression data. ICCI*CC Lu Yin, Yongguo Liu
2011	J	`jnl`	Automatic clustering using genetic algorithms. Appl. Math. Comput. Yongguo Liu, Xindong Wu, Yi-Dong Shen
2010	J	`jnl`	A Genetic Algorithm Based Clustering Approach with Tabu Operation and K-Means Operation. J. Intell. Syst. Yongguo Liu, Hua Yan, Kefei Chen
2010	J	`jnl`	Data Clustering with Cat Swarm Optimization. J. Convergence Inf. Technol. Yongguo Liu, Yi-Dong Shen
2010	J	`jnl`	On Using Tabu Search for RNA Secondary Structure Prediction. J. Digit. Content Technol. its Appl. Yongguo Liu, Jianrui Hao
2010	—	`conf`	Predicting RNA secondary structure with Tabu Search. IEEE ICCI Yongguo Liu, Jianrui Hao, Jun Peng
2009	—	`conf`	A Block Cipher Based on a Hybrid of Chaotic System and Feistel Network. ICNC (5) Jun Peng, Shangzhu Jin, Hailing Liu, Yongguo Liu
2009	—	`conf`	Applying pLSA to region-based image categorization with soft vector quantization. ICIMCS Hong Wu, Yongguo Liu, Mao Ye
2009	—	`conf`	Blind Image Extraction by Using Local Smooth Information. ICNC (3) Mao Ye, Yongguo Liu, Ming Liu, Fan Li, Qihe Liu
2008	—	`conf`	A Double-Piped iterated hash function based on a hybrid of chaotic maps. IEEE ICCI Jun Peng, Du Zhang, Yongguo Liu, Xiaofeng Liao
2008	B	`conf`	A few online algorithms for extracting minor generalized eigenvectors. IJCNN Mao Ye, Yongguo Liu, Hong Wu, Qihe Liu
2008	J	`jnl`	A tabu search approach for the minimum sum-of-squares clustering problem. Inf. Sci. Yongguo Liu, Zhang Yi, Hong Wu, Mao Ye, Kefei Chen
2007	J	`jnl`	Clustering Using an Improved Hybrid Genetic Algorithm. Int. J. Artif. Intell. Tools Yongguo Liu, Xiaorong Pu, Yi-Dong Shen, Zhang Yi, Xiaofeng Liao
2007	—	`conf`	Multilayer Perceptron Networks Training Using Particle Swarm Optimization with Minimum Velocity Constraints. ISNN (3) Xiaorong Pu, Zhongjie Fang, Yongguo Liu
2006	—	`conf`	An Improved Hybrid Genetic Clustering Algorithm. SETN Yongguo Liu, Jun Peng, Kefei Chen, Zhang Yi
2005	—	`conf`	A Hybrid Tabu Search Based Clustering Algorithm. KES (2) Yongguo Liu, Yan Liu, Libin Wang, Kefei Chen
2005	C	`conf`	A Novel Clustering Technique Based on Improved Noising Method. CIARP Yongguo Liu, Wei Zhang, Dong Zheng, Kefei Chen
2005	B	`conf`	A Tabu Clustering Method with DHB Operation and Mergence and Partition Operation. Discovery Science Yongguo Liu, Dong Zheng, Shiqun Li, Libin Wang, Kefei Chen
2005	—	`conf`	A Tabu Search Based Method for Minimum Sum of Squares Clustering. ICAPR (1) Yongguo Liu, Libin Wang, Kefei Chen
2005	C	`conf`	Clustering with Noising Method. ADMA Yongguo Liu, Yan Liu, Kefei Chen
2004	J	`jnl`	A Tabu Clustering algorithm for Intrusion Detection. Intell. Data Anal. Yongguo Liu, Xiaofeng Liao, Xueming Li, Zhongfu Wu
2004	J	`jnl`	A genetic clustering method for intrusion detection. Pattern Recognit. Yongguo Liu, Kefei Chen, Xiaofeng Liao, Wei Zhang