Yongna Yuan

According to our database, Yongna Yuan authored at least 27 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Heterogenous biological network multi-task learning model for ncRNA-disease-drug association prediction.

Yongna Yuan, Jiahui Liu, Xiaohang Pan, Ruisheng Zhang, Wei Su

Knowl. Based Syst., 2024

Subjective variability of the "just-right feeling": Effectiveness of social media advertising design.

Ya Wang, Shuilong Wu, Jiajun Zhao, Yongna Yuan

Electron. Commer. Res. Appl., 2024

Improving Braille-Chinese translation with jointly trained and pre-trained language models.

Tianyuan Huang, Wei Su, Lei Liu, Chuan Cai, HaiLong Yu, Yongna Yuan

Displays, 2024

Wfold: A new method for predicting RNA secondary structure with deep learning.

Yongna Yuan, Enjie Yang, Ruisheng Zhang

Comput. Biol. Medicine, 2024

CKG-IMC: An inductive matrix completion method enhanced by CKG and GNN for Alzheimer's disease compound-protein interactions prediction.

Yongna Yuan, Rizhen Hu, Siming Chen, Xiaopeng Zhang, Zhenyu Liu, Gonghai Zhou

Comput. Biol. Medicine, 2024

Molecular representation contrastive learning via transformer embedding to graph neural networks.

Yunwu Liu, Ruisheng Zhang, Tongfeng Li, Jing Jiang, Jun Ma, Yongna Yuan, Ping Wang

Appl. Soft Comput., 2024

Attention and Learning Features-Enhanced Knowledge Tracing.

Jiamin Liu, Wei Su, Lei Liu, Chuan Cai, Yongna Yuan, Shenglin Xu, Zhongfeng Jia, Wenli Yue, Bowang Liu

Proceedings of the Knowledge Science, Engineering and Management, 2024

A Pre-trained Knowledge Tracing Model with Limited Data.

Wenli Yue, Wei Su, Lei Liu, Chuan Cai, Yongna Yuan, Zhongfeng Jia, Jiamin Liu, Wenjian Xie

Proceedings of the Database and Expert Systems Applications, 2024

2023

An XGBoost-Based Knowledge Tracing Model.

Wei Su, Fan Jiang, Chunyan Shi, Dongqing Wu, Lei Liu, Shihua Li, Yongna Yuan, Juntai Shi

Int. J. Comput. Intell. Syst., December, 2023

Ensemble of local and global information for Protein-Ligand Binding Affinity Prediction.

Gaili Li, Yongna Yuan, Ruisheng Zhang

Comput. Biol. Chem., December, 2023

Translating Braille into Chinese based on improved CBHG model.

Tianyuan Huang, Wei Su, Lei Liu, Jing Zhang, Chuan Cai, Yongna Yuan, Cunlu Xu

Displays, July, 2023

TranGRU: focusing on both the local and global information of molecules for molecular property prediction.

Jing Jiang, Ruisheng Zhang, Jun Ma, Yunwu Liu, Enjie Yang, Shikang Du, Zhili Zhao, Yongna Yuan

Appl. Intell., June, 2023

2022

Quantum Chemical Calculations with Machine Learning for Multipolar Electrostatics Prediction in RNA: An Application to Pentose.

Yongna Yuan, Haoqiu Yan, Zeyang Cui, Zhenyu Liu, Wei Su, Ruisheng Zhang

J. Chem. Inf. Model., 2022

MultiGran-SMILES: multi-granularity SMILES learning for molecular property prediction.

Jing Jiang, Ruisheng Zhang, Zhili Zhao, Jun Ma, Yunwu Liu, Yongna Yuan, Bojuan Niu

Bioinform., 2022

2021

Multipolar electrostatics for hairpin and pseudoknots in RNA: Improving the accuracy of force field potential energy function.

Yongna Yuan, Shaowei Fu, Dongxu Huo, Wei Su, Ruisheng Zhang, Jiaxuan Wei

J. Comput. Chem., 2021

Identification of top-k influential nodes based on discrete crow search algorithm optimization for influence maximization.

Huan Li, Ruisheng Zhang, Zhili Zhao, Xin Liu, Yongna Yuan

Appl. Intell., 2021

2019

An Efficient Influence Maximization Algorithm Based on Clique in Social Networks.

Huan Li, Ruisheng Zhang, Zhili Zhao, Yongna Yuan

IEEE Access, 2019

2018

Assessing Force Field Potential Energy Function Accuracy via a Multipolar Description of Atomic Electrostatic Interactions in RNA.

Yongna Yuan, Zhuangzhuang Zhang, Matthew J. L. Mills, Rongjing Hu, Ruisheng Zhang

J. Chem. Inf. Model., 2018

Using Hybrid Similarity-Based Collaborative Filtering Method for Compound Activity Prediction.

Jun Ma, Ruisheng Zhang, Yongna Yuan, Zhili Zhao

Proceedings of the Intelligent Computing Theories and Application, 2018

Using improved Restricted Boltzmann Machines for drug-disease Prediction.

Jun Ma, Yongna Yuan, Mingchao Guo

Proceedings of the 2018 2nd International Conference on Deep Learning Technologies, 2018

A Deep Learning Approach for Next Location Prediction.

Xiaoliang Fan, Lei Guo, Ning Han, Yujie Wang, Jia Shi, Yongna Yuan

Proceedings of the 22nd IEEE International Conference on Computer Supported Cooperative Work in Design, 2018

2017

A BPSO-SVM algorithm based on memory renewal and enhanced mutation mechanisms for feature selection.

Jiaxuan Wei, Ruisheng Zhang, Zhixuan Yu, Rongjing Hu, Jianxin Tang, Chun Gui, Yongna Yuan

Appl. Soft Comput., 2017

2016

Locating the propagation source on complex networks with Propagation Centrality algorithm.

Fan Yang, Ruisheng Zhang, Yabing Yao, Yongna Yuan

Knowl. Based Syst., 2016

2015

A Multi-regional CGE Model and Its Application in Low Carbon Policy Simulation in China.

Yongna Yuan, Li Na, Minjun Shi

Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015

2014

Multipolar electrostatics for proteins: Atom-atom electrostatic energies in crambin.

Yongna Yuan, Matthew J. L. Mills, Paul L. A. Popelier

J. Comput. Chem., 2014

2013

Accuracy and tractability of a kriging model of intramolecular polarizable multipolar electrostatics and its application to histidine.

Shaun M. Kandathil, Timothy L. Fletcher, Yongna Yuan, Joshua D. Knowles, Paul L. A. Popelier

J. Comput. Chem., 2013

2007

Extracting Information of Anti-AIDS Inhibitor from the Biological Literature Based on Ontology.

Chunyan Zhang, Jin Du, Ruisheng Zhang, Xiaoliang Fan, Yongna Yuan, Ting Ning

Proceedings of the Frontiers in Algorithmics, First Annual International Workshop, 2007