Qingyong Wang

According to our database, Qingyong Wang authored at least 18 papers between 2010 and 2025.

Collaborative distances:

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

2025

Learning protein language contrastive models with multi-knowledge representation.

Wenjun Xu, Yingchun Xia, Bifan Sun, Zihao Zhao, Lianggui Tang, Xiaobo Zhou, Qingyong Wang, Lichuan Gu

Future Gener. Comput. Syst., 2025

2024

Interpretable decision-making model with uncertain weights for sustainable digital economy.

Qingyong Wang

Adv. Eng. Informatics, 2024

2023

CoLM²S: Contrastive self-supervised learning on attributed multiplex graph network with multi-scale information.

Beibei Han, Yingmei Wei, Qingyong Wang, Shanshan Wan

CAAI Trans. Intell. Technol., December, 2023

LncRNA-protein interaction prediction with reweighted feature selection.

Guohao Lv, Yingchun Xia, Zhao Qi, Zihao Zhao, Lianggui Tang, Cheng Chen, Shuai Yang, Qingyong Wang, Lichuan Gu

BMC Bioinform., December, 2023

AFEI: adaptive optimized vertical federated learning for heterogeneous multi-omics data integration.

Qingyong Wang, Minfan He, Long-Yi Guo, Hua Chai

Briefings Bioinform., September, 2023

Dual adaptive learning multi-task multi-view for graph network representation learning.

Beibei Han, Yingmei Wei, Qingyong Wang, Shanshan Wan

Neural Networks, May, 2023

2022

M²SPL: Generative multiview features with adaptive meta-self-paced sampling for class-imbalance learning.

Qingyong Wang, Yun Zhou, Zehong Cao, Weiming Zhang

Expert Syst. Appl., 2022

FedSPL: federated self-paced learning for privacy-preserving disease diagnosis.

Qingyong Wang, Yun Zhou

Briefings Bioinform., 2022

2020

Random Forest with Self-Paced Bootstrap Learning in Lung Cancer Prognosis.

Qingyong Wang, Yun Zhou, Weiping Ding, Zhiguo Zhang, Khan Muhammad, Zehong Cao

ACM Trans. Multim. Comput. Commun. Appl., 2020

Adaptive sampling using self-paced learning for imbalanced cancer data pre-diagnosis.

Qingyong Wang, Yun Zhou, Weiming Zhang, Zhangui Tang, Xiaojing Chen

Expert Syst. Appl., 2020

2019

Descriptor Selection Improvements for Quantitative Structure-Activity Relationships.

Liang-Yong Xia, Qing-Yong Wang, Zehong Cao, Yong Liang

Int. J. Neural Syst., 2019

Computation Tasks Offloading Scheme Based on Multi-cloudlet Collaboration for Edge Computing.

Qingyong Wang, Yingchi Mao, Yichao Wang, Longbao Wang

Proceedings of the Seventh International Conference on Advanced Cloud and Big Data, 2019

2018

Conditional displacement interaction in transversal direction from the quantum Rabi model.

Gangcheng Wang, Qingyong Wang, Yimin Wang, Jing-Ling Chen, Kang Xue, Chunfeng Wu

Quantum Inf. Process., 2018

Data analysis on video streaming QoE over mobile networks.

Qingyong Wang, Hong-Ning Dai, Di Wu, Hong Xiao

EURASIP J. Wirel. Commun. Netw., 2018

QSAR Classification Modeling for Bioactivity of Molecular Structure via SPL-Logsum.

Liang-Yong Xia, Qing-Yong Wang

CoRR, 2018

Semi-Supervised Learning with Ensemble Self-Training for Cancer Classification.

Qing-Yong Wang, Liang-Yong Xia, Hua Chai, Yun Zhou

Proceedings of the 2018 IEEE SmartWorld, 2018

2017

Data-Driven QoE Analysis on Video Streaming in Mobile Networks.

Qingyong Wang, Hong-Ning Dai, Hao Wang, Di Wu

Proceedings of the 2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC), 2017

2010

Temperley-Lieb algebra, Yang-Baxterization and universal gate.

Gangcheng Wang, Kang Xue, Chunfang Sun, Chengcheng Zhou, Taotao Hu, Qingyong Wang

Quantum Inf. Process., 2010