Temperley-Lieb algebra, Yang-Baxterization and universal gate. - Gangcheng Wang; Kang Xue; Chunfang Sun; Chengcheng Zhou; Taotao Hu; Qingyong Wang (Quantum Inf. Process., 2010)

Data-Driven QoE Analysis on Video Streaming in Mobile Networks. - Qingyong Wang; Hong-Ning Dai; Hao Wang 003; Di Wu 035 (ISPA/IUCC, 2017)

Semi-Supervised Learning with Ensemble Self-Training for Cancer Classification. - Qing-Yong Wang; Liang-Yong Xia; Hua Chai; Yun Zhou 001 (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2018)

QSAR Classification Modeling for Bioactivity of Molecular Structure via SPL-Logsum. - Liang-Yong Xia; Qing-Yong Wang (CoRR, 2018)

Data analysis on video streaming QoE over mobile networks. - Qingyong Wang; Hong-Ning Dai; Di Wu 035; Hong Xiao (EURASIP J. Wirel. Commun. Netw., 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)

Computation Tasks Offloading Scheme Based on Multi-cloudlet Collaboration for Edge Computing. - Qingyong Wang; Yingchi Mao; Yichao Wang 004; Longbao Wang (CBD, 2019)

Descriptor Selection Improvements for Quantitative Structure-Activity Relationships. - Liang-Yong Xia; Qing-Yong Wang; Zehong Cao; Yong Liang (Int. J. Neural Syst., 2019)

Adaptive sampling using self-paced learning for imbalanced cancer data pre-diagnosis. - Qingyong Wang; Yun Zhou 001; Weiming Zhang 003; Zhangui Tang; Xiaojing Chen (Expert Syst. Appl., 2020)

Random Forest with Self-Paced Bootstrap Learning in Lung Cancer Prognosis. - Qingyong Wang; Yun Zhou 001; Weiping Ding 001; Zhiguo Zhang 001; Khan Muhammad 001; Zehong Cao (ACM Trans. Multim. Comput. Commun. Appl., 2020)

FedSPL: federated self-paced learning for privacy-preserving disease diagnosis. - Qingyong Wang; Yun Zhou 001 (Briefings Bioinform., 2022)

M2SPL: Generative multiview features with adaptive meta-self-paced sampling for class-imbalance learning. - Qingyong Wang; Yun Zhou 001; Zehong Cao; Weiming Zhang 003 (Expert Syst. Appl., 2022)

Dual adaptive learning multi-task multi-view for graph network representation learning. - Beibei Han; Yingmei Wei; Qingyong Wang; Shanshan Wan (Neural Networks, 2023)

AFEI: adaptive optimized vertical federated learning for heterogeneous multi-omics data integration. - Qingyong Wang; Minfan He; Long-Yi Guo; Hua Chai (Briefings Bioinform., 2023)

LncRNA-protein interaction prediction with reweighted feature selection. - Guohao Lv; Yingchun Xia; Zhao Qi; Zihao Zhao; Lianggui Tang; Cheng Chen; Shuai Yang 003; Qingyong Wang; Lichuan Gu (BMC Bioinform., 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., 2023)

Interpretable decision-making model with uncertain weights for sustainable digital economy. - Qingyong Wang (Adv. Eng. Informatics, 2024)

Clustering-based recommendation method with enhanced grasshopper optimisation algorithm. - Zihao Zhao; Yingchun Xia; Wenjun Xu; Hui Yu; Shuai Yang 003; Cheng Chen; Xiaohui Yuan 001; Xiaobo Zhou; Qingyong Wang; Lichuan Gu (CAAI Trans. Intell. Technol., 2025)

Temporal transaction network anomaly detection for Industrial Internet of Things with federated graph neural networks. - Qingyong Wang; Beibei Han (Comput. Ind. Eng., 2025)

Interpretable vertical federated learning with privacy-preserving multi-source data integration for prognostic prediction. - Qingyong Wang (Eng. Appl. Artif. Intell., 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)

Position encoding of global attention for weakly supervised entity alignment. - Tingting Jiang 004; Shunxin Hu; Shuai Yang 003; Wentao Ma; Jin He; Qingyong Wang; Chao Wang 104; Lichuan Gu (Neurocomputing, 2025)

Adaptive-weighted federated graph convolutional networks with multi-sensor data fusion for drug response prediction. - Hui Yu; Qingyong Wang; Xiaobo Zhou (Inf. Fusion, 2025)