Peiliang Wu

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 29

Top Topics

Machine Learning

Top Venues

Comput. Biol. Medicine

Frontiers Neuroinformatics

Publications

Guodong Du, Jia Zhang, Ning Zhang, Hanrui Wu, Peiliang Wu, Shaozi Li
Semi-supervised imbalanced multi-label classification with label propagation. Pattern Recognit. 150 (2024)
Peiliang Wu, Liqiang Tian, Qian Zhang, Bingyi Mao, Wenbai Chen
MARRGM: Learning Framework for Multi-Agent Reinforcement Learning via Reinforcement Recommendation and Group Modification. IEEE Robotics Autom. Lett. 9 (6) (2024)
Peiliang Wu, Shicheng Luo, Liqiang Tian, Bingyi Mao, Wenbai Chen
Consistent epistemic planning for multiagent deep reinforcement learning. Int. J. Mach. Learn. Cybern. 15 (5) (2024)
Jie Xing, Chengye Li, Peiliang Wu, Xueding Cai, Jinsheng Ouyang
Optimized fuzzy K-nearest neighbor approach for accurate lung cancer prediction based on radial endobronchial ultrasonography. Comput. Biol. Medicine 171 (2024)
Shuai Wang, Hui Cui, Tiangang Zhang, Peiliang Wu, Toshiya Nakaguchi, Ping Xuan
Graph Reasoning Method Based on Affinity Identification and Representation Decoupling for Predicting lncRNA-Disease Associations. J. Chem. Inf. Model. 63 (21) (2023)
Wenbai Chen, Chang Liu, Qili Chen, Peiliang Wu
Multi-scale memory-enhanced method for predicting the remaining useful life of aircraft engines. Neural Comput. Appl. 35 (3) (2023)
Yupeng Li, Yujie Fu, Yining Liu, Dong Zhao, Lei Liu, Sami Bourouis, Abeer D. Algarni, Chuyue Zhong, Peiliang Wu
An optimized machine learning method for predicting wogonin therapy for the treatment of pulmonary hypertension. Comput. Biol. Medicine 164 (2023)
Ping Xuan, Shuai Wang, Hui Cui, Yue Zhao, Tiangang Zhang, Peiliang Wu
Learning global dependencies and multi-semantics within heterogeneous graph for predicting disease-related lncRNAs. Briefings Bioinform. 23 (5) (2022)
Wenbai Chen, Yue Lu, Hang Ma, Qili Chen, Xibao Wu, Peiliang Wu
Self-attention mechanism in person re-identification models. Multim. Tools Appl. 81 (4) (2022)
Beibei Shi, Tao Zhou, Shushu Lv, Mingjing Wang, Siyuan Chen, Ali Asghar Heidari, Xiaoying Huang, Huiling Chen, Liangxing Wang, Peiliang Wu
An evolutionary machine learning for pulmonary hypertension animal model from arterial blood gas analysis. Comput. Biol. Medicine 146 (2022)
Hang Su, Zhengyuan Han, Yujie Fu, Dong Zhao, Fanhua Yu, Ali Asghar Heidari, Yu Zhang, Yeqi Shou, Peiliang Wu, Huiling Chen, Yanfan Chen
Detection of pulmonary embolism severity using clinical characteristics, hematological indices, and machine learning techniques. Frontiers Neuroinformatics 16 (2022)
Wenlong Guo, Zheng Chang, Xijuan Guo, Peiliang Wu, Zhu Han
Incentive Mechanism for Edge Computing-Based Blockchain: A Sequential Game Approach. IEEE Trans. Ind. Informatics 18 (11) (2022)
Jiao Hu, zhengyuan Han, Ali Asghar Heidari, Yeqi Shou, Hua Ye, Liangxing Wang, Xiaoying Huang, Huiling Chen, Yanfan Chen, Peiliang Wu
Detection of COVID-19 severity using blood gas analysis parameters and Harris hawks optimized extreme learning machine. Comput. Biol. Medicine 142 (2022)
Huarong Zhao, Li Peng, Peiliang Wu, Hongnian Yu
A novel bipartite consensus tracking scheme for unknown nonlinear multi-agent systems: Theoretical analysis and applications. J. Syst. Control. Eng. 236 (5) (2022)
Beibei Shi, Hua Ye, Ali Asghar Heidari, Long Zheng, Zhongyi Hu, Huiling Chen, Hamza Turabieh, Majdi M. Mafarja, Peiliang Wu
Analysis of COVID-19 severity from the perspective of coagulation index using evolutionary machine learning with enhanced brain storm optimization. J. King Saud Univ. Comput. Inf. Sci. 34 (8 Part A) (2022)
Wenbai Chen, Guohong Yi, Huixiang Liu, Qili Chen, Weizhao Chen, Peiliang Wu
Fast classification of indoor functional areas based on a pre-trained lightweight network. ICDIS (2022)
Qian Zhang, Anran Huang, Lianyou Shao, Peiliang Wu, Ali Asghar Heidari, Zhennao Cai, Guoxi Liang, Huiling Chen, Fahd S. Alotaibi, Majdi M. Mafarja, Jinsheng Ouyang
A machine learning framework for identifying influenza pneumonia from bacterial pneumonia for medical decision making. J. Comput. Sci. 65 (2022)
Hang Su, Yeqi Shou, Yujie Fu, Dong Zhao, Ali Asghar Heidari, Zhengyuan Han, Peiliang Wu, Huiling Chen, Yanfan Chen
A new machine learning model for predicting severity prognosis in patients with pulmonary embolism: Study protocol from Wenzhou, China. Frontiers Neuroinformatics 16 (2022)
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
Diagnosing Coronavirus Disease 2019 (COVID-19): Efficient Harris Hawks-Inspired Fuzzy K-Nearest Neighbor Prediction Methods. IEEE Access 9 (2021)
Wenbai Chen, Chang Liu, Weizhao Chen, Huixiang Liu, Qili Chen, Peiliang Wu
A Prediction Method for the RUL of Equipment for Missing Data. Complex. 2021 (2021)
Beibei Shi, Hua Ye, Long Zheng, Juncheng Lyu, Cheng Chen, Ali Asghar Heidari, Zhongyi Hu, Huiling Chen, Peiliang Wu
Evolutionary warning system for COVID-19 severity: Colony predation algorithm enhanced extreme learning machine. Comput. Biol. Medicine 136 (2021)
Xu Song, Zheng Chang, Xijuan Guo, Peiliang Wu, Timo Hämäläinen
Energy Efficient Optimization for Solar-Powered UAV Communications System. ICC Workshops (2021)
Beibei Shi, Hua Ye, Jian Zheng, Yefei Zhu, Ali Asghar Heidari, Long Zheng, Huiling Chen, Liangxing Wang, Peiliang Wu
Early Recognition and Discrimination of COVID-19 Severity Using Slime Mould Support Vector Machine for Medical Decision-Making. IEEE Access 9 (2021)
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
An Effective Machine Learning Approach for Identifying Non-Severe and Severe Coronavirus Disease 2019 Patients in a Rural Chinese Population: The Wenzhou Retrospective Study. IEEE Access 9 (2021)
Ziying Song, Peiliang Wu, Kuihe Yang, Yu Zhang, Yi Liu
MsfNet: a novel small object detection based on multi-scale feature fusion. MSN (2021)
Weizhao Chen, Wenbai Chen, Chao He, Nan Liu, Peiliang Wu, Haobin Shi
Research on Classification and Detection System of Common Household Tools for Home Service Robot. ICSSE (2020)
Peiliang Wu, Qingyu Yang, Wenbai Chen, Bingyi Mao, Hongnian Yu
An Improved Genetic-Shuffled Frog-Leaping Algorithm for Permutation Flowshop Scheduling. Complex. 2020 (2020)
Peiliang Wu, Qi Luo, Lingfu Kong
Cooperative localization of network robot system based on improved MPF. ICIA (2016)
Peiliang Wu, Liangliang Duan, Lingfu Kong
RGB-D Salient Object Detection via Feature Fusion and Multi-scale Enhancement. CCCV (2) (2015)
William John Teahan, Peiliang Wu, Wei Liu
Adaptive compression-based models of Chinese text. ICAILP (2014)
Bingyi Mao, Yi Lu, Peiliang Wu, Bingzhi Mao, Pengfei Li
Signal processing and defect analysis of pipeline inspection applying magnetic flux leakage methods. Intell. Serv. Robotics 7 (4) (2014)
Hanfeng Liu, Peiliang Wu
Study on several especial issues of MiroSot large field robot soccer system. ICIA (2013)
Peiliang Wu, Lingfu Kong, Shengnan Gao
Holography map for home robot: an object-oriented approach. Intell. Serv. Robotics 5 (3) (2012)
Peiliang Wu, William John Teahan
A new PPM variant for Chinese text compression. Nat. Lang. Eng. 14 (3) (2008)
Xianshan Li, Fengda Zhao, Lingfu Kong, Peiliang Wu
Learning human daily behavior habit patterns using EM algorithm for service robot. ROBIO (2007)
Peiliang Wu, William John Teahan
Modelling Chinese For Text Compression. DCC (2005)