Eigenvector Centrality Measure Based on Node Similarity for Multilayer and Temporal Networks. - Laishui Lv; Kun Zhang 021; Ting Zhang; Xun Li; Jiahui Zhang; Wei Xue (IEEE Access, 2019)

Multi-Dimensional HITS Based on Random Walks for Multilayer Temporal Networks. - Laishui Lv; Kun Zhang 021 (J. Comput., 2020)

Eigenvector-based centralities for multilayer temporal networks under the framework of tensor computation. - Laishui Lv; Kun Zhang 021; Ting Zhang; Xun Li; Qi Sun; Lilinqing Zhang; Wei Xue (Expert Syst. Appl., 2021)

HITS centrality based on inter-layer similarity for multilayer temporal networks. - Laishui Lv; Kun Zhang 021; Dalal Bardou; Xun Li; Ting Zhang; Wei Xue (Neurocomputing, 2021)

Joint extraction of entities and overlapping relations by improved graph convolutional networks. - Qi Sun; Kun Zhang 021; Laishui Lv; Xun Li; Kun Huang; Ting Zhang (Appl. Intell., 2022)

Dual-Channel and Hierarchical Graph Convolutional Networks for document-level relation extraction. - Qi Sun; Tiancheng Xu; Kun Zhang; Kun Huang; Laishui Lv; Xun Li; Ting Zhang; Doris Dore-Natteh (Expert Syst. Appl., 2022)

An efficient and secure data collection scheme for predictive maintenance of vehicles. - Peng Hu; Xixi Chu; Laishui Lv; Kaizhong Zuo; Tianjiao Ni; Taochun Wang; Zhangyi Shen (Ad Hoc Networks, 2023)

Community Detection in Multilayer Networks Via Semi-Supervised Joint Symmetric Nonnegative Matrix Factorization. - Laishui Lv; Peng Hu; Dalal Bardou; Zijun Zheng; Ting Zhang (IEEE Trans. Netw. Sci. Eng., 2023)

ICCL: Independent and Correlative Correspondence Learning for few-shot image classification. - Zijun Zheng; Heng Wu 004; Laishui Lv; Hailiang Ye; Changchun Zhang; Gaohang Yu (Knowl. Based Syst., 2023)

Deep Autoencoder-like non-negative matrix factorization with graph regularized for link prediction in dynamic networks. - Laishui Lv; Dalal Bardou; Yanqiu Liu; Peng Hu (Appl. Soft Comput., 2023)

An improved gravity centrality for finding important nodes in multi-layer networks based on multi-PageRank. - Laishui Lv; Ting Zhang; Peng Hu; Dalal Bardou; Shanzhou Niu; Zijun Zheng; Gaohang Yu; Heng Wu 004 (Expert Syst. Appl., 2024)

A Community-Based Centrality Measure for Identifying Key Nodes in Multilayer Networks. - Laishui Lv; Peng Hu; Zijun Zheng; Dalal Bardou; Ting Zhang; Heng Wu 004; Shanzhou Niu; Gaohang Yu (IEEE Trans. Comput. Soc. Syst., 2024)

GAD-VAE: generative adversarial disentanglement with variational autoencoders for hair removal in dermoscopy images. - Dalal Bardou; Laishui Lv; Yasmine Medjadba; Ting Zhang; Ouahiba Chouhal; Mourad Bounezra; Karima Saidi; Youcef Bezza; Aissa Snani (Netw. Model. Anal. Health Informatics Bioinform., 2024)

SGE: Semantic-guided Generalization Enhancement for Few-Shot Learning. - Zijun Zheng; Yangyang Zhu; Heng Wu 004; Laishui Lv; Shanzhou Niu; Gaohang Yu (Knowl. Based Syst., 2025)

Dara: distribution-aware representation alignment for semi-supervised domain adaptation in image classification. - Heng Wu 004; Zijun Zheng; Laishui Lv; Changchun Zhang; Dalal Bardou; Shanzhou Niu; Gaohang Yu (J. Supercomput., 2025)

Multi-graph aggregated graph neural network for heterogeneous graph representation learning. - Shuailei Zhu; Xiaofeng Wang 004; Shuaiming Lai; Yuntao Chen; Wenchao Zhai; Daying Quan; Yuanyuan Qi; Laishui Lv (Int. J. Mach. Learn. Cybern., 2025)

Graph Anomaly Detection via Multiscale Contrastive Self-Supervised Learning From Local to Global. - Xiaofeng Wang 004; Shuaiming Lai; Shuailei Zhu; Yuntao Chen; Laishui Lv; Yuanyuan Qi (IEEE Trans. Comput. Soc. Syst., 2025)

MERGE: multimodal-enhanced representation and guided ensemble for pneumonia recognition in chest X-ray images. - Zijun Zheng; Heng Wu 004; Laishui Lv; Dalal Bardou; Shanzhou Niu; Gaohang Yu (J. Supercomput., 2025)

CLCFE: complementary loss coupling for feature-enhanced few-shot fine-grained visual recognition. - Heng Wu 004; Zijun Zheng; Laishui Lv; Changchun Zhang; Yifeng Xu; Dalal Bardou; Shanzhou Niu; Gaohang Yu (Appl. Intell., 2025)