张丽娜

个人信息Personal Information

讲师

性别：女

毕业院校：山东大学

学历：研究生(博士)毕业

学位：博士

在职信息：在职

所在单位：机电与信息工程学院

入职时间：2017-07-05

电子邮箱：zln@sdu.edu.cn

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论文成果

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[1] Yuxin Han , Runtao Yang , Mingyu Zhu and Lina Zhang. A sarcasm detection method based on modality inconsistencies and textual knowledge enhancement. Applied Soft Computing, 177, 2025.
[2] Runtao Yang , Jiaming Liu , Qian Zhang and Lina Zhang. Multi-view feature fusion and density-based minority over-sampling technique for amyloid protein prediction under imbalanced data. Applied Soft Computing, 150, 2024.
[3] Runtao Yang , Yao Fu , Qian Zhang and Lina Zhang. GCNGAT: Drug-disease association prediction based on graph convolution neural network and graph attention network. Artificial Intelligence in Medicine, 150, 2024.
[4] Yao Fu , Runtao Yang , Lina Zhang and Xu Fu. HGECDA: A Heterogeneous Graph Embedding Model for CircRNA-Disease Association Prediction. IEEE Journal of Biomedical and Health Informatics, 27, 5177-5186, 2023.
[5] Lina Zhang , Chengjin Zhang , Rui Gao , Runtao Yang and Qing Song. Using the SMOTE technique and hybrid features to predict the types of ion channel-targeted conotoxins. Journal of Theoretical Biology, 403, 75-84, 2016.
[6] Qitao Geng , Runtao Yang and Lina Zhang. A deep learning framework for enhancer prediction using word embedding and sequence generation. ‌Biophysical Chemistry‌, 286, 2022.
[7] Lina Zhang , Sizan Gao , Qinghao Yuan , Yao Fu and Runtao Yang. An ensemble learning method combined with multiple feature representation strategies to predict lncRNA subcellular localizations. Computational Biology and Chemistry, 115, 2025.
[8] Runtao Yang , Feng Wu , Chengjin Zhang and Lina Zhang. iEnhancer-GAN: A Deep Learning Framework in Combination with Word Embedding and Sequence Generative Adversarial Net to Identify Enhancers and Their Strength. International Journal of Molecular Sciences, 22, 2021.
[9] Lina Zhang , Runtao Yang , Defei Xia , Ruixiao Lin and Wanying Xiong. Prediction of plant LncRNA-protein interactions based on feature fusion and an improved residual network. Expert Systems with Applications, 238, 2024.
[10] Feng Wu , Runtao Yang , Chengjin Zhang and Lina Zhang. A deep learning framework combined with word embedding to identify DNA replication origins. Scientific Reports, 11, 2021.
[11] Lina Zhang , Runtao Yang and Chengjin Zhang. Using a Classifier Fusion Strategy to Identify Anti-angiogenic Peptides. Scientific Reports, 8, 2018.
[12] Lina Zhang , Chengjin Zhang , Rui Gao , Runtao Yang and Qing Song. Sequence Based Prediction of Antioxidant Proteins Using a Classifier Selection Strategy. PLOS ONE, 11, 2016.
[13] Yao Fu , Runtao Yang and Lina Zhang. Association prediction of CircRNAs and diseases using multi-homogeneous graphs and variational graph auto-encoder. Computers in Biology and Medicine, 151, 2022.
[14] Runtao Yang , Jiaming Liu and Lina Zhang. ECAmyloid: An amyloid predictor based on ensemble learning and comprehensive sequence-derived features. Computational Biology and Chemistry, 104, 2023.
[15] Lina Zhang , Chengjin Zhang , Rui Gao and Runtao Yang. An Ensemble Method to Distinguish Bacteriophage Virion from Non-Virion Proteins Based on Protein Sequence Characteristics. International Journal of Molecular Sciences, 16, 21734-21758, 2015.
[16] Runtao Yang , Chengjin Zhang , Rui Gao and Lina Zhang. A Novel Feature Extraction Method with Feature Selection to Identify Golgi-Resident Protein Types from Imbalanced Data. International Journal of Molecular Sciences, 17, 2016.
[17] Runtao Yang , Chengjin Zhang , Rui Gao and Lina Zhang. An Effective Antifreeze Protein Predictor with Ensemble Classifiers and Comprehensive Sequence Descriptors. International Journal of Molecular Sciences, 16, 21191-21214, 2015.
[18] Runtao Yang , Chengjin Zhang , Lina Zhang and Rui Gao. A Two-Step Feature Selection Method to Predict Cancerlectins by Multiview Features and Synthetic Minority Oversampling Technique. BioMed Research International, 2018, 2018.
[19] Shixian Wang , Lina Zhang , Runtao Yang and Yujiao Zhao. A Novel Capsule Network with Attention Routing to Identify Prokaryote Phosphorylation Sites. Biomolecules, 12, 2022.
[20] Lina Zhang , Chengjin Zhang , Rui Gao and Runtao Yang. JPPRED: Prediction of Types of J-Proteins from Imbalanced Data Using an Ensemble Learning Method. BioMed Research International, 2015, 2015.

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