Yonglin Pu

According to our database, Yonglin Pu authored at least 13 papers between 2007 and 2026.

Collaborative distances:

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

2026

Surrogate-Assisted Evolutionary Multi-Objective Optimization Grouped by Significant Influence for High-Dimensional Problems.

Weichao Chen, Ziyang Li, Yu Xue, Yonglin Pu

IEEE Trans. Emerg. Top. Comput. Intell., April, 2026

Grouping via sensitivity analysis evolutionary algorithm for high-dimensional expensive multi-objective optimization.

Weichao Chen, Ziyang Li, Jiong Yu, Yonglin Pu

Complex Intell. Syst., 2026

2024

An elastic framework construction method based on task migration in edge computing.

Yonglin Pu, Ziyang Li, Jiong Yu, Liang Lu, Binglei Guo

Softw. Pract. Exp., 2024

Energy consumption estimation and profiling for queries in distributed database systems based on a bottom-up comprehensive energy model.

Binglei Guo, Junqi Wu, Yonglin Pu, Jun Zhang, Jiong Yu

Future Gener. Comput. Syst., 2024

Node Hibernation Optimization Strategy for Metaverse Stream Computing.

Yonglin Pu

Proceedings of the 2nd International Conference on Intelligent Metaverse Technologies & Applications, 2024

Optimization Method Based on Data Migration on Metaverse.

Yonglin Pu

Proceedings of the 2nd International Conference on Intelligent Metaverse Technologies & Applications, 2024

Data Backup Method Based on Metaverse Service Management.

Yonglin Pu

Proceedings of the 2nd International Conference on Intelligent Metaverse Technologies & Applications, 2024

Duplicate Data Elimination Optimization Strategy Based on Edge Service Management.

Yonglin Pu, Xiaolong Xu, Lianyong Qi, Wanchun Dou, Jiong Yu, Ziyang Li

Proceedings of the 2024 IEEE Cyber Science and Technology Congress (CyberSciTech), 2024

2020

Flink-ER: An Elastic Resource-Scheduling Strategy for Processing Fluctuating Mobile Stream Data on Flink.

Ziyang Li, Jiong Yu, Chen Bian, Yonglin Pu, Yuefei Wang, Yitian Zhang, Binglei Guo

Mob. Inf. Syst., 2020

2014

Application of artificial neural network and multiple linear regression models for predicting survival time of patients with non-small cell cancer using multiple prognostic factors including FDG-PET measurements.

Yonglin Pu, Michael J. Baad, Yulei Jiang, Yisheng Chen

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013

Independent prognostic value of whole-body metabolic tumor burden from FDG-PET in non-small cell lung cancer.

Hao Zhang, Kristen Wroblewski, Daniel Appelbaum, Yonglin Pu

Int. J. Comput. Assist. Radiol. Surg., 2013

2011

Clinical Utility of Temporal Subtraction Images in Successive Whole-Body Bone Scans: Evaluation in a Prospective Clinical Study.

Junji Shiraishi, Daniel Appelbaum, Yonglin Pu, Roger Engelmann, Qiang Li, Kunio Doi

J. Digit. Imaging, 2011

2007

Contralateral subtraction technique for detection of asymmetric abnormalities on whole-body bone scintigrams.

Junji Shiraishi, Qiang Li, Daniel Appelbaum, Yonglin Pu, Kunio Doi

Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, San Diego, 2007