Gongde Guo - RankMe

89 papers A 1B 6C 4Misc 4Journal 36Unranked 36

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	GKM-OD: Gaussian knowledge based modelling for outlier detection. Expert Syst. Appl. Hui Wang, Haixin Zhong, Gongde Guo
2025	J	`jnl`	A low-dimensional cross-attention model for link prediction with applications to drug repurposing. Knowl. Based Syst. Gengjing Chen, Gongde Guo, S. Lorraine Martin, Hui Wang
2024	—	`conf`	Hashing Orthogonal Constraint Loss for Multi-Label Image Retrieval. MVRMLM@ICMR Dapeng Zhang, Gongde Guo, Hui Wang, Jiawen Zhang
2024	—	`conf`	Multi-Proxy Deep Hashing for Image Retrieval. MVRMLM@ICMR Dapeng Zhang, Gongde Guo, Hui Wang, Jiawen Zhang
2023	J	`jnl`	Faster quantum ridge regression algorithm for prediction. Int. J. Mach. Learn. Cybern. Menghan Chen, Chao-Hua Yu, Gongde Guo, Song Lin
2023	J	`jnl`	Special issue on small data analytics. Int. J. Mach. Learn. Cybern. Hui Wang, Ivo Düntsch, Gongde Guo, Sadiq Ali Khan
2022	J	`jnl`	Kernel-based data transformation model for nonlinear classification of symbolic data. Soft Comput. Xuanhui Yan, Lifei Chen, Gongde Guo
2022	J	`jnl`	Nonnegative matrix factorization with combined kernels for small data representation. Expert Syst. Appl. Liying Hu, Xian Chen, Gongde Guo, Lifei Chen
2022	J	`jnl`	Quantum K-nearest neighbor classification algorithm based on Hamming distance. Quantum Inf. Process. Jing Li, Song Lin, Kai Yu, Gongde Guo
2021	J	`jnl`	An ordered sparse subspace clustering algorithm based on p-Norm. Expert Syst. J. Knowl. Eng. Liping Chen, Gongde Guo, Hui Wang
2020	J	`jnl`	An augmented Lagrangian alternating direction method for overlapping community detection based on symmetric nonnegative matrix factorization. Int. J. Mach. Learn. Cybern. Li-Ying Hu, Gongde Guo
2020	J	`jnl`	EEG Signal Reconstruction Using a Generative Adversarial Network With Wasserstein Distance and Temporal-Spatial-Frequency Loss. Frontiers Neuroinformatics Tian-jian Luo, Yachao Fan, Lifei Chen, Gongde Guo, Changle Zhou
2020	J	`jnl`	Survival neural networks for time-to-event prediction in longitudinal study. Knowl. Inf. Syst. Jianfei Zhang, Lifei Chen, Yanfang Ye, Gongde Guo, Rongbo Chen, Alain Vanasse, Shengrui Wang
2019	J	`jnl`	Feature-weighted survival learning machine for COPD failure prediction. Artif. Intell. Medicine Jianfei Zhang, Shengrui Wang, Josiane Courteau, Lifei Chen, Gongde Guo, Alain Vanasse
2019	J	`jnl`	Ordered smooth representation clustering. Int. J. Mach. Learn. Cybern. Liping Chen, Gongde Guo
2019	—	`conf`	Time-Dependent Survival Neural Network for Remaining Useful Life Prediction. PAKDD (1) Jianfei Zhang, Shengrui Wang, Lifei Chen, Gongde Guo, Rongbo Chen, Alain Vanasse
2019	—	`conf`	Video Tampering Detection Algorithm Based on Spatial Constraints and Stable Feature. UKCI Han Pu, Tianqiang Huang, Gongde Guo, Bin Weng, Lijun You
2018	J	`jnl`	Center-based clustering of categorical data using kernel smoothing methods. Frontiers Comput. Sci. Xuanhui Yan, Lifei Chen, Gongde Guo
2018	J	`jnl`	Differentiation Between Organic and Non-Organic Apples Using Diffraction Grating and Image Processing - A Cost-Effective Approach. Sensors Nanfeng Jiang, Weiran Song, Hui Wang, Gongde Guo, Yuanyuan Liu
2018	J	`jnl`	Multiplex image representation for enhanced recognition. Int. J. Mach. Learn. Cybern. Xin Wei, Hui Wang, Gongde Guo, Huan Wan
2018	J	`jnl`	Separability-Oriented Subclass Discriminant Analysis. IEEE Trans. Pattern Anal. Mach. Intell. Huan Wan, Hui Wang, Gongde Guo, Xin Wei
2018	—	`conf`	Target Tracking based on Kernel Correlative Filters and SIFT features - A Self-Adaptive Scale Algorithm. CSAI/ICIMT Nanfeng Jiang, Li Guo, Gongde Guo
2017	—	`conf`	A Noise-Resilient Sparse Subspace Clustering Algorithm for Image Sequences. iThings/GreenCom/CPSCom/SmartData Liping Chen, Gongde Guo, Hui Wang
2017	J	`jnl`	Cluster Validation Method for Determining the Number of Clusters in Categorical Sequences. IEEE Trans. Neural Networks Learn. Syst. Gongde Guo, Lifei Chen, Yanfang Ye, Qingshan Jiang
2017	J	`jnl`	Cryptanalysis of Controlled Bidirectional Quantum Secure Direct Communication Network Using Classical XOR Operation and Quantum Entanglement. IEEE Commun. Lett. Song Lin, Wenjie Liu, Gongde Guo, Binbin Cai, Xiaofen Liu
2017	—	`conf`	Smooth Representation Clustering Based on Kernelized Random Walks. APWeb/WAIM Workshops Liping Chen, Gongde Guo, Lifei Chen
2016	J	`jnl`	Kernel-based linear classification on categorical data. Soft Comput. Lifei Chen, Yanfang Ye, Gongde Guo, Jianping Zhu
2016	J	`jnl`	一种基于顺序特性的子空间聚类方法 (Subspace Clustering Based on Sequential Feature). 计算机科学 Liping Chen, Gongde Guo
2016	J	`jnl`	基于一维三态量子游走的量子聚类算法 (Quantum Clustering Algorithm Based on One-dimensional Three-state Quantum Walk). 计算机科学 Yongzhen Xu, Gongde Guo, Binbin Cai, Song Lin
2015	—	`conf`	A Multiscale Method for HOG-Based Face Recognition. ICIRA (1) Xin Wei, Gongde Guo, Hui Wang, Huan Wan
2015	—	`conf`	A New Linear Discriminant Analysis Method to Address the Over-Reducing Problem. PReMI Huan Wan, Gongde Guo, Hui Wang, Xin Wei
2015	J	`jnl`	Nearest neighbor classification of categorical data by attributes weighting. Expert Syst. Appl. Lifei Chen, Gongde Guo
2015	J	`jnl`	规范化相似度的符号序列层次聚类 (Hierarchical Clustering of Categorical Sequences by Similarity Normalization). 计算机科学 Hao Zhang, Lifei Chen, Gongde Guo
2014	—	`conf`	A General Weighted Multi-scale Method for Improving LBP for Face Recognition. UCAmI Xin Wei, Hui Wang, Gongde Guo, Huan Wan
2014	J	`jnl`	A hill cipher-based remote data possession checking in cloud storage. Secur. Commun. Networks Lanxiang Chen, Gongde Guo, Zhen Peng
2014	—	`conf`	Centroid-Based Classification of Categorical Data. WAIM Lifei Chen, Gongde Guo
2014	—	`conf`	Kernel learning method for distance-based classification of categorical data. UKCI Lifei Chen, Gongde Guo, Shengrui Wang, Xiangzeng Kong
2014	J	`jnl`	Quantum key distribution: defeating collective noise without reducing efficiency. Quantum Inf. Comput. Song Lin, Gongde Guo, Fei Gao, Xiao-Fen Liu
2014	J	`jnl`	Reexamining the security of fair quantum blind signature schemes. Quantum Inf. Process. Song Lin, Chao-Hua Yu, Gongde Guo
2014	—	`conf`	Soft Sensing as Class-Imbalance Binary Classification - A Lattice Machine Approach. UCAmI Huan Wan, Hui Wang, Gongde Guo, Song Lin
2013	J	`jnl`	Optimal subspace classification method for complex data. Int. J. Mach. Learn. Cybern. Nan Li, Gongde Guo, Lifei Chen, Si Chen
2013	J	`jnl`	Projected-prototype based classifier for text categorization. Knowl. Based Syst. Jianfei Zhang, Lifei Chen, Gongde Guo
2012	—	`conf`	Nearest Neighbor Classification by Partially Fuzzy Clustering. AINA Workshops Lifei Chen, Gongde Guo, Shengrui Wang
2012	J	`jnl`	Soft subspace clustering with an improved feature weight self-adjustment mechanism. Int. J. Mach. Learn. Cybern. Gongde Guo, Si Chen, Lifei Chen
2011	J	`jnl`	Class-dependent projection based method for text categorization. Pattern Recognit. Lett. Lifei Chen, Gongde Guo, Kaijun Wang
2011	B	`conf`	Combination of Evidence-Based Classifiers for Text Categorization. ICTAI Yaxin Bi, Shengli Wu, Hui Wang, Gongde Guo
2010	—	`conf`	A New Over-Sampling Method Based on Cluster Ensembles. AINA Workshops Si Chen, Gongde Guo, Lifei Chen
2010	J	`jnl`	A classification algorithm based on local cluster centers with a few labeled training examples. Knowl. Based Syst. Tianqiang Huang, Yangqiang Yu, Gongde Guo, Kai Li
2010	Misc	`conf`	Using class-dependent projection for text categorization. ICMLC Lifei Chen, Gongde Guo
2009	—	`conf`	Manifold Learning and Application on Classification of Leukemia Cells Based on Raman Spectroscopy. BMEI Tianqiang Huang, Kai Li, Gongde Guo, Yangqiang Yu
2009	—	`conf`	Semi-supervised Classification Based on Clustering Ensembles. AICI Si Chen, Gongde Guo, Lifei Chen
2009	—	`conf`	Semi-supervised Learning Applied to Large Data Sets with Very Few Labeled Examples. FSKD (1) Hong Chen, Gongde Guo
2008	B	`conf`	A Minimal Coverage-based Classification method and its application in predictive toxicology data mining. SMC Gongde Guo, Yu Huang
2008	—	`conf`	A Spatial Overlapping Based Similarity Measure Applied to Hierarchical Clustering. FSKD (2) Hong Chen, Gongde Guo, Yu Huang, Tianqiang Huang
2008	—	`conf`	Data Reduction and Classification based on Multiple Classifier Behavior. DMIN Chunying Zhao, Gongde Guo, Xuming Huang, Tianqiang Huang, Daniel Neagu
2008	—	`conf`	Dynamic Partial Coverage Based Feature Selection Method. FSKD (2) Yu Huang, Gongde Guo, Tianqiang Huang, Hong Chen
2007	—	`conf`	A Partial Coverage Based Approach to Classification. ICTAI (1) Yu Huang, Gongde Guo, Daniel Neagu
2007	J	`jnl`	Combining Multiple Classifiers Using Dempster's Rule for Text Categorization. Appl. Artif. Intell. Yaxin Bi, David A. Bell, Hui Wang, Gongde Guo, Jiwen Guan
2007	B	`conf`	Combining Prioritized Decisions in Classification. MDAI Yaxin Bi, Shengli Wu, Gongde Guo
2007	—	`conf`	Weighted kNNModel-Nased Data Reduction and Classification. FSKD (1) Xuming Huang, Gongde Guo, Daniel Neagu, Tianqiang Huang
2006	C	`conf`	An Effective Combination Based on Class-Wise Expertise of Diverse Classifiers for Predictive Toxicology Data Mining. ADMA Daniel Neagu, Gongde Guo, Shanshan Wang
2006	—	`conf`	An Effective Combination of Multiple Classifiers for Toxicity Prediction. FSKD Gongde Guo, Daniel Neagu, Xuming Huang, Yaxin Bi
2006	B	`conf`	Combining Multiple Sets of Rules for Improving Classification Via Measuring Their Closenesses. PRICAI Yaxin Bi, Shengli Wu, Xuming Huang, Gongde Guo
2006	J	`jnl`	Using Soft Comput. Gongde Guo, Hui Wang, David A. Bell, Yaxin Bi, Kieran Greer
2005	—	`conf`	A Study on Feature Selection for Toxicity Prediction. FSKD (2) Gongde Guo, Daniel Neagu, Mark T. D. Cronin
2005	—	`ch.`	Decision Making Based on Hybrid of Multi-Knowledge and Naïve Bayes Classifier. Foundations of Data Mining and knowledge Discovery Qingxiang Wu, David A. Bell, T. Martin McGinnity, Gongde Guo
2005	J	`jnl`	Fuzzy Knnmodel Applied to Predictive Toxicology Data Mining. Int. J. Comput. Intell. Appl. Gongde Guo, Daniel Neagu
2005	—	`conf`	KNN Based Evolutionary Techniques for Updating Query Cost Models. FSKD (2) Zhining Liao, Hui Wang, David H. Glass, Gongde Guo
2005	—	`conf`	Research on Diagnostic System of Early Colorectal Carcinoma Based on Data Mining. DMIN Xiaoping Fan, Xiao Liu, Zhifang Liao, Gongde Guo
2005	J	`jnl`	Similarity-Based Data reduction Techniques. J. Res. Pract. Inf. Technol. Gongde Guo, Hui Wang, David A. Bell
2005	B	`conf`	Similarity-based classifier combination for decision making. SMC Gongde Guo, Daniel Neagu
2005	—	`conf`	Using ICAPR (1) Gongde Guo, Daniel Neagu, Mark T. D. Cronin
2004	—	`—`	A study on the nearest neighbour method and its applications. Gongde Guo
2004	C	`conf`	An kNN Model-Based Approach and Its Application in Text Categorization. CICLing Gongde Guo, Hui Wang, David A. Bell, Yaxin Bi, Kieran Greer
2004	C	`conf`	Classification Decision Combination for Text Categorization: An Experimental Study. DEXA Yaxin Bi, David A. Bell, Hui Wang, Gongde Guo, Werner Dubitzky
2004	B	`conf`	Combining Multiple Classifiers Using Dempster's Rule of Combination for Text Categorization. MDAI Yaxin Bi, David A. Bell, Hui Wang, Gongde Guo, Kieran Greer
2004	A	`conf`	Contextual Probability-Based Classification. ER Gongde Guo, Hui Wang, David A. Bell, Zhining Liao
2004	Misc	`conf`	Financial Time Series Analysis and Prediction. IC-AI Gongde Guo, Hui Wang, David A. Bell, Zhining Liao
2004	—	`conf`	G probability-based method and its application. SMC (2) Gongde Guo, Hui Wang, Zhining Liao
2004	—	`conf`	Nearest Neighbours without MSRAS Hui Wang, Ivo Düntsch, Günther Gediga, Gongde Guo
2004	Misc	`conf`	Query Cost Estimated in Noisy Wide Area Environment. IKE Zhining Liao, Hui Wang, David H. Glass, Gongde Guo
2004	—	`conf`	Query Cost Model Constructed and Analyzed in a Dynamic Environment. MSRAS Zhining Liao, Hui Wang, David H. Glass, Gongde Guo
2004	—	`conf`	Similarity-Based Data Reduction and Classification. MSRAS Gongde Guo, Hui Wang, David A. Bell, Zhining Liao
2004	—	`conf`	The optimal query plan selection based on the network and remote server analysis. SMC (7) Zhining Liao, Hui Wang, Gongde Guo
2003	—	`conf`	KNN Model-Based Approach in Classification. OTM Gongde Guo, Hui Wang, David A. Bell, Yaxin Bi, Kieran Greer
2002	—	`conf`	Asymmetric Neighbourhood Selection and Support Aggregation for Effective Classification. IBERAMIA Gongde Guo, Hui Wang, David A. Bell
2002	—	`conf`	Data Reduction and Noise Filtering for Predicting Times Series. WAIM Gongde Guo, Hui Wang, David A. Bell
2001	Misc	`conf`	Data Reduction Based on Spatial Partitioning. International Conference on Computational Science (2) Gongde Guo, Hui Wang, David A. Bell, Qingxiang Wu
2000	C	`conf`	Data Ranking Based on Spatial Partitioning. IDEAL Gongde Guo, Hui Wang, David A. Bell