Discriminative locally document embedding: Learning a smooth affine map by approximation of the probabilistic generative structure of subspace. - Chao Wei; Senlin Luo; Jia Guo; Zhouting Wu; Limin Pan (Knowl. Based Syst., 2017)

Locally weighted embedding topic modeling by markov random walk structure approximation and sparse regularization. - Chao Wei; Senlin Luo; Limin Pan; Zhouting Wu; Ji Zhang; Qamas Gul Khan Safi (Neurocomputing, 2018)

Microblog summarization using Paragraph Vector and semantic structure. - Ruiyi Wang; Senlin Luo; Limin Pan; Zhouting Wu; Yujiao Yuan; Qianrou Chen (Comput. Speech Lang., 2019)

Joint extraction of entities and relations by a novel end-to-end model with a double-pointer module. - Chongyou Bai; Limin Pan; Senlin Luo; Zhouting Wu (Neurocomputing, 2020)

Self-selective attention using correlation between instances for distant supervision relation extraction. - Yanru Zhou; Limin Pan; Chongyou Bai; Senlin Luo; Zhouting Wu (Neural Networks, 2021)

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)

Strengthened multiple correlation for multi-label few-shot intent detection. - Ruizhi Zhang; Senlin Luo; Limin Pan; Yong Ma; Zhouting Wu (Neurocomputing, 2023)

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)

FSD-CLCD: Functional semantic distillation graph learning for cross-language code clone detection. - Linghao Zhang; Senlin Luo; Limin Pan; Zhouting Wu; Kun Gong (Eng. Appl. Artif. Intell., 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)

HGE-BVHD: Heterogeneous graph embedding scheme of complex structure functions for binary vulnerability homology discrimination. - Jiyuan Xing; Senlin Luo; Limin Pan; Jingwei Hao; Yingdan Guan; Zhouting Wu (Expert Syst. Appl., 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)