Peiliang Wu

According to our database, Peiliang Wu authored at least 37 papers between 2005 and 2024.

Collaborative distances:

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

2024

MARRGM: Learning Framework for Multi-Agent Reinforcement Learning via Reinforcement Recommendation and Group Modification.

Peiliang Wu, Liqiang Tian, Qian Zhang, Bingyi Mao, Wenbai Chen

IEEE Robotics Autom. Lett., June, 2024

Consistent epistemic planning for multiagent deep reinforcement learning.

Peiliang Wu, Shicheng Luo, Liqiang Tian, Bingyi Mao, Wenbai Chen

Int. J. Mach. Learn. Cybern., May, 2024

Semi-supervised imbalanced multi-label classification with label propagation.

Guodong Du, Jia Zhang, Ning Zhang, Hanrui Wu, Peiliang Wu, Shaozi Li

Pattern Recognit., 2024

Optimized fuzzy K-nearest neighbor approach for accurate lung cancer prediction based on radial endobronchial ultrasonography.

Jie Xing, Chengye Li, Peiliang Wu, Xueding Cai, Jinsheng Ouyang

Comput. Biol. Medicine, 2024

2023

Graph Reasoning Method Based on Affinity Identification and Representation Decoupling for Predicting lncRNA-Disease Associations.

Shuai Wang, Hui Cui, Tiangang Zhang, Peiliang Wu, Toshiya Nakaguchi, Ping Xuan

J. Chem. Inf. Model., November, 2023

An optimized machine learning method for predicting wogonin therapy for the treatment of pulmonary hypertension.

Yupeng Li, Yujie Fu, Yining Liu, Dong Zhao, Lei Liu, Sami Bourouis, Abeer D. Algarni, Chuyue Zhong, Peiliang Wu

Comput. Biol. Medicine, September, 2023

Multi-scale memory-enhanced method for predicting the remaining useful life of aircraft engines.

Wenbai Chen, Chang Liu, Qili Chen, Peiliang Wu

Neural Comput. Appl., 2023

2022

A new machine learning model for predicting severity prognosis in patients with pulmonary embolism: Study protocol from Wenzhou, China.

Hang Su, Yeqi Shou, Yujie Fu, Dong Zhao, Ali Asghar Heidari, Zhengyuan Han, Peiliang Wu, Huiling Chen, Yanfan Chen

Frontiers Neuroinformatics, August, 2022

Incentive Mechanism for Edge Computing-Based Blockchain: A Sequential Game Approach.

Wenlong Guo, Zheng Chang, Xijuan Guo, Peiliang Wu, Zhu Han

IEEE Trans. Ind. Informatics, 2022

Self-attention mechanism in person re-identification models.

Wenbai Chen, Yue Lu, Hang Ma, Qili Chen, Xibao Wu, Peiliang Wu

Multim. Tools Appl., 2022

A novel bipartite consensus tracking scheme for unknown nonlinear multi-agent systems: Theoretical analysis and applications.

Huarong Zhao, Li Peng, Peiliang Wu, Hongnian Yu

J. Syst. Control. Eng., 2022

A machine learning framework for identifying influenza pneumonia from bacterial pneumonia for medical decision making.

Qian Zhang, Anran Huang, Lianyou Shao, Peiliang Wu, Ali Asghar Heidari, Zhennao Cai, Guoxi Liang, Huiling Chen, Fahd Saleh Alotaibi, Majdi M. Mafarja, Jinsheng Ouyang

J. Comput. Sci., 2022

Analysis of COVID-19 severity from the perspective of coagulation index using evolutionary machine learning with enhanced brain storm optimization.

Beibei Shi, Hua Ye, Ali Asghar Heidari, Long Zheng, Zhongyi Hu, Huiling Chen, Hamza Turabieh, Majdi M. Mafarja, Peiliang Wu

J. King Saud Univ. Comput. Inf. Sci., 2022

Detection of pulmonary embolism severity using clinical characteristics, hematological indices, and machine learning techniques.

Hang Su, Zhengyuan Han, Yujie Fu, Dong Zhao, Fanhua Yu, Ali Asghar Heidari, Yu Zhang, Yeqi Shou, Peiliang Wu, Huiling Chen, Yanfan Chen

Frontiers Neuroinformatics, 2022

An evolutionary machine learning for pulmonary hypertension animal model from arterial blood gas analysis.

Beibei Shi, Tao Zhou, Shushu Lv, Mingjing Wang, Siyuan Chen, Ali Asghar Heidari, Xiaoying Huang, Huiling Chen, Liangxing Wang, Peiliang Wu

Comput. Biol. Medicine, 2022

Detection of COVID-19 severity using blood gas analysis parameters and Harris hawks optimized extreme learning machine.

Jiao Hu, Zhengyuan Han, Ali Asghar Heidari, Yeqi Shou, Hua Ye, Liangxing Wang, Xiaoying Huang, Huiling Chen, Yanfan Chen, Peiliang Wu

Comput. Biol. Medicine, 2022

Learning global dependencies and multi-semantics within heterogeneous graph for predicting disease-related lncRNAs.

Ping Xuan, Shuai Wang, Hui Cui, Yue Zhao, Tiangang Zhang, Peiliang Wu

Briefings Bioinform., 2022

Fast classification of indoor functional areas based on a pre-trained lightweight network.

Wenbai Chen, Guohong Yi, Huixiang Liu, Qili Chen, Weizhao Chen, Peiliang Wu

Proceedings of the 4th International Conference on Data Intelligence and Security, 2022

2021

A New Semantic-Based Tool Detection Method for Robots.

Wenbai Chen, Chao He, Weizhao Chen, Qili Chen, Peiliang Wu

Int. J. Comput. Commun. Control, 2021

A Prediction Method for the RUL of Equipment for Missing Data.

Wenbai Chen, Chang Liu, Weizhao Chen, Huixiang Liu, Qili Chen, Peiliang Wu

Complex., 2021

Evolutionary warning system for COVID-19 severity: Colony predation algorithm enhanced extreme learning machine.

Beibei Shi, Hua Ye, Long Zheng, Juncheng Lyu, Cheng Chen, Ali Asghar Heidari, Zhongyi Hu, Huiling Chen, Peiliang Wu

Comput. Biol. Medicine, 2021

Diagnosing Coronavirus Disease 2019 (COVID-19): Efficient Harris Hawks-Inspired Fuzzy K-Nearest Neighbor Prediction Methods.

Hua Ye, Peiliang Wu, Tianru Zhu, Zhongxiang Xiao, Xie Zhang, Long Zheng, Rongwei Zheng, Yangjie Sun, Weilong Zhou, Qinlei Fu, Xinxin Ye, Ali Chen, Shuang Zheng, Ali Asghar Heidari, Mingjing Wang, Jiandong Zhu, Huiling Chen, Jifa Li

IEEE Access, 2021

An Effective Machine Learning Approach for Identifying Non-Severe and Severe Coronavirus Disease 2019 Patients in a Rural Chinese Population: The Wenzhou Retrospective Study.

Peiliang Wu, Hua Ye, Xueding Cai, Chengye Li, Shimin Li, Meng-Xiang Chen, Mingjing Wang, Ali Asghar Heidari, Mayun Chen, Jifa Li, Huiling Chen, Xiaoying Huang, Liangxing Wang

IEEE Access, 2021

Early Recognition and Discrimination of COVID-19 Severity Using Slime Mould Support Vector Machine for Medical Decision-Making.

Beibei Shi, Hua Ye, Jian Zheng, Yefei Zhu, Ali Asghar Heidari, Long Zheng, Huiling Chen, Liangxing Wang, Peiliang Wu

IEEE Access, 2021

MsfNet: a novel small object detection based on multi-scale feature fusion.

Ziying Song, Peiliang Wu, Kuihe Yang, Yu Zhang, Yi Liu

Proceedings of the 17th International Conference on Mobility, Sensing and Networking, 2021

Energy Efficient Optimization for Solar-Powered UAV Communications System.

Xu Song, Zheng Chang, Xijuan Guo, Peiliang Wu, Timo Hämäläinen

Proceedings of the IEEE International Conference on Communications Workshops, 2021

2020

An Improved Genetic-Shuffled Frog-Leaping Algorithm for Permutation Flowshop Scheduling.

Peiliang Wu, Qingyu Yang, Wenbai Chen, Bingyi Mao, Hongnian Yu

Complex., 2020

Research on Classification and Detection System of Common Household Tools for Home Service Robot.

Weizhao Chen, Wenbai Chen, Chao He, Nan Liu, Peiliang Wu, Haobin Shi

Proceedings of the International Conference on System Science and Engineering, 2020

2016

Cooperative localization of network robot system based on improved MPF.

Peiliang Wu, Qi Luo, Lingfu Kong

Proceedings of the IEEE International Conference on Information and Automation, 2016

2015

RGB-D Salient Object Detection via Feature Fusion and Multi-scale Enhancement.

Peiliang Wu, Liangliang Duan, Lingfu Kong

Proceedings of the Computer Vision - CCF Chinese Conference, 2015

2014

Signal processing and defect analysis of pipeline inspection applying magnetic flux leakage methods.

Bingyi Mao, Yi Lu, Peiliang Wu, Bingzhi Mao, Pengfei Li

Intell. Serv. Robotics, 2014

Adaptive compression-based models of Chinese text.

William John Teahan, Peiliang Wu, Wei Liu

Proceedings of the International Conference on Audio, 2014

2013

Study on several especial issues of MiroSot large field robot soccer system.

Hanfeng Liu, Peiliang Wu

Proceedings of the IEEE International Conference on Information and Automation, 2013

2012

Holography map for home robot: an object-oriented approach.

Peiliang Wu, Lingfu Kong, Shengnan Gao

Intell. Serv. Robotics, 2012

2008

A new PPM variant for Chinese text compression.

Peiliang Wu, William John Teahan

Nat. Lang. Eng., 2008

2007

Learning human daily behavior habit patterns using EM algorithm for service robot.

Xianshan Li, Fengda Zhao, Lingfu Kong, Peiliang Wu

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2007

2005

Modelling Chinese For Text Compression.

Peiliang Wu, William John Teahan

Proceedings of the 2005 Data Compression Conference (DCC 2005), 2005