A two-stage feature selection method for text categorization. - Jiana Meng; Hongfei Lin (FSKD, 2010)

A two-stage feature selection method for text categorization. - Jiana Meng; Hongfei Lin; Yuhai Yu (Comput. Math. Appl., 2011)

Knowledge transfer based on feature representation mapping for text classification. - Jiana Meng; Hongfei Lin; Yanpeng Li (Expert Syst. Appl., 2011)

Transfer learning based on graph ranking. - Jiana Meng; Hongfei Lin (FSKD, 2012)

Dual subspace learning via geodesic search on Stiefel manifold. - Lijun Liu; Rendong Ge; Jiana Meng; Guangjie You (Int. J. Mach. Learn. Cybern., 2014)

Analysis of Researcher Co-authorship Network. - Jiana Meng; Jun Guo (AINA Workshops, 2015)

Visual and Textual Sentiment Analysis of a Microblog Using Deep Convolutional Neural Networks. - Yuhai Yu; Hongfei Lin; Jiana Meng; Zhehuan Zhao (Algorithms, 2016)

Deep Transfer Learning for Modality Classification of Medical Images. - Yuhai Yu; Hongfei Lin; Jiana Meng; Xiaocong Wei; Hai Guo; Zhehuan Zhao (Inf., 2017)

Assembling Deep Neural Networks for Medical Compound Figure Detection. - Yuhai Yu; Hongfei Lin; Jiana Meng; Xiaocong Wei; Zhehuan Zhao (Inf., 2017)

A new shift strategy for the implicitly restarted refined harmonic Lanczos method. - Datian Niu; Jiana Meng; Hongying Li (J. Comput. Appl. Math., 2018)

Substructural Regularization With Data-Sensitive Granularity for Sequence Transfer Learning. - Shichang Sun; Hongbo Liu 001; Jiana Meng; C. L. Philip Chen; Yu Yang (IEEE Trans. Neural Networks Learn. Syst., 2018)

Inter-Person Relation Classification via AttentionBased Bidirectional Gated Recurrent Unit. - Dandan Zhao; Degen Huang; Jiana Meng; Jing Zhang 028; Shichang Sun; Yuhai Yu (ISKE, 2019)

Cross-Domain Text Sentiment Analysis Based on CNN_FT Method. - Jiana Meng; Yingchun Long; Yuhai Yu; Dandan Zhao; Shuang Liu (Inf., 2019)

Motion Recurring Pattern Analysis: A Lossless Representation for Motion Capture Databases. - Pengjie Wang 001; Jiang Wang 015; Xiaoming Wei; Jiana Meng; Jing Xun (IEEE Access, 2020)

An attention network based on feature sequences for cross-domain sentiment classification. - Jiana Meng; Yu Dong; Yingchun Long; Dandan Zhao (Intell. Data Anal., 2021)

Dual Neural Network Fusion Model for Chinese Named Entity Recognition. - Dandan Zhao; Jingxiang Cao; Degen Huang; Jiana Meng; Pan Zhang (Int. J. Comput. Intell. Syst., 2021)

Adversarial Transfer Learning for Named Entity Recognition Based on Multi-Head Attention Mechanism and Feature Fusion. - Dandan Zhao; Pan Zhang; Jiana Meng; Yue Wu (NLPCC (1), 2022)

Adversarial Transfer Learning for Biomedical Named Entity Recognition. - Yue Wu; Jiana Meng; Dandan Zhao; Di Zhao 003; Wen Su (ICIAI, 2023)

Recurrent Event Networks Based on Subgraph and Attention Enhancement. - Hongxi Liu; Jiana Meng; Shichang Sun (IEEE Access, 2023)

Biomedical document relation extraction with prompt learning and KNN. - Di Zhao 003; Yumeng Yang; Peng Chen; Jiana Meng; Shichang Sun; Jian Wang 021; Hongfei Lin (J. Biomed. Informatics, 2023)

Transferring variational autoencoders with coarse-and-fine alignment for open set broad classification. - Shichang Sun; Yongdong Huang; Di Zhao 003; Yuhai Yu; Jiana Meng (Int. J. Mach. Learn. Cybern., 2023)

Joint Effects and Sequencing of Government Regulations in Sharing Economy Era. - Jiana Meng; Young Woong Park; Chen Zhang (AMCIS, 2024)

Few-shot Biomedical NER via Multi-task Learning and More Fine-grained Grid-tagging Strategy. - Wenxuan Mu; Di Zhao; Jiana Meng; Shuang Liu; Hongfei Lin (BIBM, 2024)

Efficient Style Transfer for Computational Pathology with Cross-modality Local Manipulation. - Shichang Sun; Zhihao Yang; Hongfei Lin; Jiana Meng; Jincheng Zhang; Rui Wang (BIBM, 2024)

A Multi-task Biomedical Named Entity Recognition Method Based on Data Augmentation. - Hui Zhao; Di Zhao; Jiana Meng; Shuang Liu; Hongfei Lin (CCL, 2024)

A Hierarchical Knowledge Graph Embedding Framework for Link Prediction. - Shuang Liu 010; Chengwang Hou; Jiana Meng; Peng Chen; Simon Kolmanic (IEEE Access, 2024)

Few-shot biomedical relation extraction using data augmentation and domain information. - Bocheng Guo; Di Zhao 003; Xin Dong; Jiana Meng; Hongfei Lin (Neurocomputing, 2024)

Integrating graph convolutional networks to enhance prompt learning for biomedical relation extraction. - Bocheng Guo; Jiana Meng; Di Zhao 003; Xiangxing Jia; Yonghe Chu; Hongfei Lin (J. Biomed. Informatics, 2024)

Self-supervised learning with self-distillation on COVID-19 medical image classification. - Zhiyong Tan; Yuhai Yu; Jiana Meng; Shuang Liu; Wei Li (Comput. Methods Programs Biomed., 2024)

Sarcasm detection based on BERT and attention mechanism. - Jiana Meng; Yanlin Zhu; Shichang Sun; Dandan Zhao (Multim. Tools Appl., 2024)

Few-shot biomedical NER empowered by LLMs-assisted data augmentation and multi-scale feature extraction. - Di Zhao 003; Wenxuan Mu; Xiangxing Jia; Shuang Liu; Yonghe Chu; Jiana Meng; Hongfei Lin (BioData Min., 2025)

Improved relation extraction through key phrase identification using community detection on dependency trees. - Shuang Liu; Xunqin Chen; Jiana Meng; Niko Lukac (Comput. Speech Lang., 2025)

Exploring biomedical relation extraction by combining natural language inference and dual dependency trees. - Xueying Li; Di Zhao 003; Jiana Meng; Hongfei Lin (Expert Syst. Appl., 2025)

Fake news detection based on multi-modal domain adaptation. - Xiaopei Wang; Jiana Meng; Di Zhao; Xuan Meng; Hewen Sun (Neural Comput. Appl., 2025)

Multi-Text Guidance Is Important: Multi-Modality Image Fusion via Large Generative Vision-Language Model. - Zeyu Wang 009; Libo Zhao; Jizheng Zhang; Rui Song; Haiyu Song; Jiana Meng; Shidong Wang (Int. J. Comput. Vis., 2025)

Innovative approaches in image processing: enhancing feature extraction and recognition capabilities. - Zhaozhao Yang; Yuhai Yu; Yongdong Huang; Jiana Meng (Vis. Comput., 2025)

Domain feature transfer-based multi-domain fake news detection. - Xuan Meng; Di Zhao; Jiana Meng; Xu Guo; Tengfei Ma; Xiaopei Wang (Knowl. Inf. Syst., 2025)