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 (FAW, 2007)

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)

Multipolar electrostatics for proteins: Atom-atom electrostatic energies in crambin. - Yongna Yuan; Matthew J. L. Mills; Paul L. A. Popelier (J. Comput. Chem., 2014)

A Multi-regional CGE Model and Its Application in Low Carbon Policy Simulation in China. - Yongna Yuan; Li Na; Minjun Shi (WI-IAT (3), 2015)

Locating the propagation source on complex networks with Propagation Centrality algorithm. - Fan Yang 065; Ruisheng Zhang; Yabing Yao; Yongna Yuan (Knowl. Based Syst., 2016)

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)

A Deep Learning Approach for Next Location Prediction. - Xiaoliang Fan; Lei Guo; Ning Han; Yujie Wang; Jia Shi 001; Yongna Yuan (CSCWD, 2018)

Using improved Restricted Boltzmann Machines for drug-disease Prediction. - Jun Ma; Yongna Yuan; Mingchao Guo (ICDLT, 2018)

Using Hybrid Similarity-Based Collaborative Filtering Method for Compound Activity Prediction. - Jun Ma; Ruisheng Zhang; Yongna Yuan; Zhili Zhao (ICIC (2), 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)

An Efficient Influence Maximization Algorithm Based on Clique in Social Networks. - Huan Li; Ruisheng Zhang; Zhili Zhao; Yongna Yuan (IEEE Access, 2019)

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)

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 008; Ruisheng Zhang; Jiaxuan Wei (J. Comput. Chem., 2021)

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)

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 008; Ruisheng Zhang (J. Chem. Inf. Model., 2022)

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., 2023)

Translating Braille into Chinese based on improved CBHG model. - Tianyuan Huang; Wei Su 008; Lei Liu; Jing Zhang; Chuan Cai; Yongna Yuan; Cunlu Xu (Displays, 2023)

Ensemble of local and global information for Protein-Ligand Binding Affinity Prediction. - Gaili Li; Yongna Yuan; Ruisheng Zhang (Comput. Biol. Chem., 2023)

An XGBoost-Based Knowledge Tracing Model. - Wei Su 008; Fan Jiang; Chunyan Shi; Dongqing Wu; Lei Liu; Shihua Li; Yongna Yuan; Juntai Shi (Int. J. Comput. Intell. Syst., 2023)

A Pre-trained Knowledge Tracing Model with Limited Data. - Wenli Yue; Wei Su 008; Lei Liu; Chuan Cai; Yongna Yuan; Zhongfeng Jia; Jiamin Liu; Wenjian Xie (DEXA (1), 2024)

Attention and Learning Features-Enhanced Knowledge Tracing. - Jiamin Liu; Wei Su 008; Lei Liu; Chuan Cai; Yongna Yuan; Shenglin Xu; Zhongfeng Jia; Wenli Yue; Bowang Liu (KSEM (1), 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)

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)

Wfold: A new method for predicting RNA secondary structure with deep learning. - Yongna Yuan; Enjie Yang; Ruisheng Zhang (Comput. Biol. Medicine, 2024)

Improving Braille-Chinese translation with jointly trained and pre-trained language models. - Tianyuan Huang; Wei Su 008; Lei Liu; Chuan Cai; HaiLong Yu; Yongna Yuan (Displays, 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)

Heterogenous biological network multi-task learning model for ncRNA-disease-drug association prediction. - Yongna Yuan; Jiahui Liu; Xiaohang Pan; Ruisheng Zhang; Wei Su 008 (Knowl. Based Syst., 2024)

A non-autoregressive Chinese-Braille translation approach with CTC loss optimization. - Hailong Yu; Wei Su 008; Yi Yang; Lei Liu; Yongna Yuan; Yingchun Xie; Tianyuan Huang (Expert Syst. Appl., 2025)

PHGL-DDI: A pre-training based hierarchical graph learning framework for drug-drug interaction prediction. - Yongna Yuan; Jiaqi Yue; Ruisheng Zhang; Wei Su 008 (Expert Syst. Appl., 2025)

MutualDTA: An Interpretable Drug-Target Affinity Prediction Model Leveraging Pretrained Models and Mutual Attention. - Yongna Yuan; Siming Chen; Rizhen Hu; Xin Wang (J. Chem. Inf. Model., 2025)

A spatial-temporal graph attention network for protein-ligand binding affinity prediction based on molecular geometry. - Gaili Li; Yongna Yuan; Ruisheng Zhang (Multim. Syst., 2025)

A 3D generation framework using diffusion model and reinforcement learning to generate multi-target compounds with desired properties. - Yongna Yuan; Xiaohang Pan; Xiaohong Li; Ruisheng Zhang; Wei Su 008 (J. Cheminformatics, 2025)