A Temporal-Spatial network embedding model for ICT supply chain market trend forecasting. - Xinshuai Li; Limin Pan; Yanru Zhou; Zhouting Wu; Senlin Luo (Appl. Soft Comput., 2022)

A risk identification model for ICT supply chain based on network embedding and text encoding. - Chengcheng Cai; Limin Pan; Xinshuai Li; Senlin Luo; Zhouting Wu (Expert Syst. Appl., 2023)

A multi-type vulnerability detection framework with parallel perspective fusion and hierarchical feature enhancement. - Lingdi Kong; Senlin Luo; Limin Pan; Zhouting Wu; Xinshuai Li (Comput. Secur., 2024)

Meta-learning on dynamic node clustering knowledge graph for cold-start recommendation. - Hui Pan; Senlin Luo; Xinshuai Li; Limin Pan; Zhouting Wu (Neurocomputing, 2024)

Adapt to small-scale and long-term time series forecasting with enhanced multidimensional correlation. - Xinshuai Li; Senlin Luo; Limin Pan; Zhouting Wu (Expert Syst. Appl., 2024)

HAMIATCM: high-availability membership inference attack against text classification models under little knowledge. - Yao Cheng; Senlin Luo; Limin Pan; Yunwei Wan; Xinshuai Li (Appl. Intell., 2024)

Joint contrastive learning with semantic enhanced label referents for few-shot NER. - Xiaoya Liu; Senlin Luo; Zhouting Wu; Limin Pan; Xinshuai Li (Neurocomputing, 2025)

Strongly concealed adversarial attack against text classification models with limited queries. - Yao Cheng; Senlin Luo; Yunwei Wan; Limin Pan; Xinshuai Li (Neural Networks, 2025)