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个人信息Personal Information
副教授 硕士生导师
性别：男
毕业院校：山东大学
学历：博士研究生毕业
学位：工学博士学位
所在单位：低空科学与工程学院
入职时间：2016-12
办公地点：知行南楼612
电子邮箱：
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- [1] Lina Zhang , Wanying Xiong , Runtao Yang and Ming Li. A Text Consistency Evaluation Method Combining Unified Modeling and Mixture-of-Expert Networks. Expert Systems With Applications, 2026.
- [2] Ruifeng Xie , Lina Zhang and Runtao Yang. Entity Alignment Based on Multi-modal Representation Learning and Constrained Weakly-Supervised Clustering. Applied Soft Computing, 2026.
- [3] Lina Zhang , Xiaorui Lin , Runtao Yang and Ming Li. A graph neural network-based method to identify lncRNA subcellular localizations. Computational Biology and Chemistry, 123, 2026.
- [4] 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.
- [5] 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.
- [6] 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.
- [7] 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.
- [8] Lina Zhang , Runtao Yang , Defei Xia , Xiaorui Lin and Wanying Xiong. Prediction of Plant LncRNA-Protein Interactions Based on Feature Fusion and an Improved Residual Network. Expert Systems with Applications, 2023.
- [9] Zichun Zhou , Qingtao Qiu , Huiling Liu , Xuanchu Ge , Tengxiang Li , Ligang Xing , Runtao Yang and Yong Yin. Automatic Detection of Brain Metastases in T1-Weighted Construct-Enhanced MRI Using Deep Learning Model. Cancers, 15, 2023.
- [10] 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, 2023.
- [11] Runtao Yang , Lina Zhang and Jiaming Liu. ECAmyloid: An amyloid predictor based on ensemble learning and comprehensive sequence-derived features. Computational Biology and Chemistry, 104, 2023.
- [12] 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.
- [13] Shixian Wang , Lina Zhang and Runtao Yang. A Novel Capsule Network with Attention Routing to Identify Prokaryote Phosphorylation Sites. Biomolecules, 12, 2022.
- [14] Runtao Yang , Chengjin Zhang , Rui Gao and Lina Zhang. An Ensemble Method with Hybrid Features to Identify Extracellular Matrix Proteins. PLOS ONE, 10, 2015.
- [15] 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, 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 , 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.
- [18] Lina Zhang , Runtao Yang and Chengjin Zhang. Using a Classifier Fusion Strategy to Identify Anti-angiogenic Peptides. SCIENTIFIC REPORTS, 8, 2018.
- [19] 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.
- [20] 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.