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2020 – today
- 2024
[j19]Yunwu Liu
, Ruisheng Zhang, Tongfeng Li, Jing Jiang, Jun Ma, Yongna Yuan, Ping Wang:
Molecular representation contrastive learning via transformer embedding to graph neural networks. Appl. Soft Comput. 164: 111970 (2024)- [j18]Yongna Yuan, Rizhen Hu, Siming Chen, Xiaopeng Zhang, Zhenyu Liu, Gonghai Zhou:
CKG-IMC: An inductive matrix completion method enhanced by CKG and GNN for Alzheimer's disease compound-protein interactions prediction. Comput. Biol. Medicine 177: 108612 (2024) - [j17]Yongna Yuan, Enjie Yang, Ruisheng Zhang:
Wfold: A new method for predicting RNA secondary structure with deep learning. Comput. Biol. Medicine 182: 109207 (2024) - [j16]Tianyuan Huang, Wei Su, Lei Liu, Chuan Cai, HaiLong Yu, Yongna Yuan:
Improving Braille-Chinese translation with jointly trained and pre-trained language models. Displays 82: 102660 (2024) - [j15]Yongna Yuan, Jiahui Liu, Xiaohang Pan, Ruisheng Zhang, Wei Su:
Heterogenous biological network multi-task learning model for ncRNA-disease-drug association prediction. Knowl. Based Syst. 300: 112222 (2024) - [c7]Wenli Yue, Wei Su, Lei Liu, Chuan Cai, Yongna Yuan, Zhongfeng Jia, Jiamin Liu, Wenjian Xie:
A Pre-trained Knowledge Tracing Model with Limited Data. DEXA (1) 2024: 163-178 - [c6]Jiamin Liu, Wei Su, Lei Liu, Chuan Cai, Yongna Yuan, Shenglin Xu, Zhongfeng Jia, Wenli Yue, Bowang Liu:
Attention and Learning Features-Enhanced Knowledge Tracing. KSEM (1) 2024: 41-56 - 2023
- [j14]Jing Jiang, Ruisheng Zhang, Jun Ma, Yunwu Liu, Enjie Yang, Shikang Du, Zhili Zhao, Yongna Yuan:
TranGRU: focusing on both the local and global information of molecules for molecular property prediction. Appl. Intell. 53(12): 15246-15260 (2023) - [j13]Gaili Li, Yongna Yuan, Ruisheng Zhang:
Ensemble of local and global information for Protein-Ligand Binding Affinity Prediction. Comput. Biol. Chem. 107: 107972 (2023) - [j12]Tianyuan Huang, Wei Su, Lei Liu, Jing Zhang, Chuan Cai, Yongna Yuan, Cunlu Xu:
Translating Braille into Chinese based on improved CBHG model. Displays 78: 102445 (2023) - [j11]Wei Su, Fan Jiang, Chunyan Shi, Dongqing Wu, Lei Liu, Shihua Li, Yongna Yuan, Juntai Shi:
An XGBoost-Based Knowledge Tracing Model. Int. J. Comput. Intell. Syst. 16(1): 13 (2023) - 2022
- [j10]Jing Jiang, Ruisheng Zhang, Zhili Zhao, Jun Ma, Yunwu Liu, Yongna Yuan, Bojuan Niu:
MultiGran-SMILES: multi-granularity SMILES learning for molecular property prediction. Bioinform. 38(19): 4573-4580 (2022) - [j9]Yongna Yuan, Haoqiu Yan, Zeyang Cui, Zhenyu Liu, Wei Su, Ruisheng Zhang:
Quantum Chemical Calculations with Machine Learning for Multipolar Electrostatics Prediction in RNA: An Application to Pentose. J. Chem. Inf. Model. 62(17): 4122-4133 (2022) - 2021
- [j8]Huan Li, Ruisheng Zhang, Zhili Zhao, Xin Liu, Yongna Yuan:
Identification of top-k influential nodes based on discrete crow search algorithm optimization for influence maximization. Appl. Intell. 51(11): 7749-7765 (2021) - [j7]Yongna Yuan, Shaowei Fu, Dongxu Huo, Wei Su, Ruisheng Zhang, Jiaxuan Wei:
Multipolar electrostatics for hairpin and pseudoknots in RNA: Improving the accuracy of force field potential energy function. J. Comput. Chem. 42(11): 771-786 (2021)
2010 – 2019
- 2019
- [j6]Huan Li, Ruisheng Zhang, Zhili Zhao, Yongna Yuan:
An Efficient Influence Maximization Algorithm Based on Clique in Social Networks. IEEE Access 7: 141083-141093 (2019) - 2018
- [j5]Yongna Yuan, Zhuangzhuang Zhang, Matthew J. L. Mills, Rongjing Hu, Ruisheng Zhang:
Assessing Force Field Potential Energy Function Accuracy via a Multipolar Description of Atomic Electrostatic Interactions in RNA. J. Chem. Inf. Model. 58(11): 2239-2254 (2018) - [c5]Xiaoliang Fan, Lei Guo, Ning Han, Yujie Wang, Jia Shi, Yongna Yuan:
A Deep Learning Approach for Next Location Prediction. CSCWD 2018: 69-74 - [c4]Jun Ma, Yongna Yuan, Mingchao Guo:
Using improved Restricted Boltzmann Machines for drug-disease Prediction. ICDLT 2018: 41-46 - [c3]Jun Ma, Ruisheng Zhang, Yongna Yuan, Zhili Zhao:
Using Hybrid Similarity-Based Collaborative Filtering Method for Compound Activity Prediction. ICIC (2) 2018: 579-588 - 2017
- [j4]Jiaxuan Wei, Ruisheng Zhang, Zhixuan Yu, Rongjing Hu, Jianxin Tang, Chun Gui, Yongna Yuan:
A BPSO-SVM algorithm based on memory renewal and enhanced mutation mechanisms for feature selection. Appl. Soft Comput. 58: 176-192 (2017) - 2016
- [j3]Fan Yang, Ruisheng Zhang, Yabing Yao, Yongna Yuan:
Locating the propagation source on complex networks with Propagation Centrality algorithm. Knowl. Based Syst. 100: 112-123 (2016) - 2015
- [c2]Yongna Yuan, Li Na, Minjun Shi:
A Multi-regional CGE Model and Its Application in Low Carbon Policy Simulation in China. WI-IAT (3) 2015: 36-39 - 2014
- [j2]Yongna Yuan, Matthew J. L. Mills, Paul L. A. Popelier:
Multipolar electrostatics for proteins: Atom-atom electrostatic energies in crambin. J. Comput. Chem. 35(5): 343-359 (2014) - 2013
- [j1]Shaun M. Kandathil, Timothy L. Fletcher, Yongna Yuan, Joshua D. Knowles, Paul L. A. Popelier:
Accuracy and tractability of a kriging model of intramolecular polarizable multipolar electrostatics and its application to histidine. J. Comput. Chem. 34(21): 1850-1861 (2013)
2000 – 2009
- 2007
- [c1]Chunyan Zhang, Jin Du, Ruisheng Zhang, Xiaoliang Fan, Yongna Yuan, Ting Ning:
Extracting Information of Anti-AIDS Inhibitor from the Biological Literature Based on Ontology. FAW 2007: 74-83
Coauthor Index
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