A Granular Analysis Method in Signal Processing. - Lunwen Wang; Ying Tan 002; Ling Zhang (ICNC (2), 2005)

Constructive Fuzzy Neural Networks and Its Application. - Lunwen Wang; Ying Tan 002; Ling Zhang (ISNN (1), 2005)

A Modified Constructive Fuzzy Neural Networks for Classification of Large-Scale and Complicated Data. - Lunwen Wang; Yanhua Wu; Ying Tan 002; Ling Zhang (ISNN (2), 2006)

A Modified Constructive Neural Networks and Its Application for Large-scale Data Mining. - Wenjiang Zhou; Yin Xu; Lunwen Wang; Ling Zhang; Ying Tan 002 (ICNC (1), 2007)

Granular Analysis in Clustering Based on the Theory of Fuzzy Tolerance Quotient Space. - Lunwen Wang; Lunwu Wang; Zuguo Wu (RSKT, 2010)

一种结合上下文语义的短文本聚类算法 (Short Text Clustering Algorithm Combined with Context Semantic Information). - Qun Zhang; Hongjun Wang; Lunwen Wang (计算机科学, 2016)

A Spectrum Sensing Algorithm for OFDM Signal Based on Deep Learning and Covariance Matrix Graph. - Mengbo Zhang; Lunwen Wang; Yanqing Feng; Haibo Yin (IEICE Trans. Commun., 2018)

Weakly-Supervised Learning of a Deep Convolutional Neural Networks for Semantic Segmentation. - Yanqing Feng; Lunwen Wang; Mengbo Zhang (IEEE Access, 2019)

Link Prediction Algorithms for Social Networks Based on Machine Learning and HARP. - Hao Shao; Lunwen Wang; Yufan Ji (IEEE Access, 2019)

A multi-scale target detection method for optical remote sensing images. - Yanqing Feng; Lunwen Wang; Mengbo Zhang (Multim. Tools Appl., 2019)

A Method for LSTM-Based Trajectory Modeling and Abnormal Trajectory Detection. - Yufan Ji; Lunwen Wang; Weilu Wu; Hao Shao; Yanqing Feng (IEEE Access, 2020)

Communication Emitter Motion Behavior's Cognition Based on Deep Reinforcement Learning. - Yufan Ji; Jiang Wang; Weilu Wu; Lunwen Wang; Chuang Peng; Hao Shao (IEEE Access, 2021)

Identifying Influential Nodes in Complex Networks Based on Node Itself and Neighbor Layer Information. - Jingcheng Zhu; Lunwen Wang (Symmetry, 2021)

Improvement of Delegated Proof of Stake Consensus Mechanism Based on Vague Set and Node Impact Factor. - Runyu Chen; Lunwen Wang; Rangang Zhu (Entropy, 2022)

Speeding up the tracking and updating of the convolutional residual tracking networks. - Yanqing Feng; Lunwen Wang (Multim. Tools Appl., 2022)

Link prediction for heterogeneous information networks based on enhanced meta-path aggregation and attention mechanism. - Hao Shao; Lunwen Wang; Rangang Zhu (Int. J. Mach. Learn. Cybern., 2023)

An Adaptive Semantic Mining Framework for Heterogeneous Information Network Embedding. - Hao Shao; Rangang Zhu; Hui Liu; Lunwen Wang (IEEE Trans. Comput. Soc. Syst., 2024)