Modelling Chinese For Text Compression. - Peiliang Wu; William John Teahan (DCC, 2005)

Learning human daily behavior habit patterns using EM algorithm for service robot. - Xianshan Li; Fengda Zhao; Lingfu Kong; Peiliang Wu (ROBIO, 2007)

A new PPM variant for Chinese text compression. - Peiliang Wu; William John Teahan (Nat. Lang. Eng., 2008)

Holography map for home robot: an object-oriented approach. - Peiliang Wu; Lingfu Kong; Shengnan Gao (Intell. Serv. Robotics, 2012)

Study on several especial issues of MiroSot large field robot soccer system. - Hanfeng Liu; Peiliang Wu (ICIA, 2013)

Adaptive compression-based models of Chinese text. - William John Teahan; Peiliang Wu; Wei Liu (ICAILP, 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)

RGB-D Salient Object Detection via Feature Fusion and Multi-scale Enhancement. - Peiliang Wu; Liangliang Duan; Lingfu Kong (CCCV (2), 2015)

Cooperative localization of network robot system based on improved MPF. - Peiliang Wu; Qi Luo; Lingfu Kong (ICIA, 2016)

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 (ICSSE, 2020)

An Improved Genetic-Shuffled Frog-Leaping Algorithm for Permutation Flowshop Scheduling. - Peiliang Wu; Qingyu Yang; Wenbai Chen; Bingyi Mao; Hongnian Yu (Complex., 2020)

Energy Efficient Optimization for Solar-Powered UAV Communications System. - Xu Song; Zheng Chang 001; Xijuan Guo; Peiliang Wu; Timo Hämäläinen 002 (ICC Workshops, 2021)

MsfNet: a novel small object detection based on multi-scale feature fusion. - Ziying Song; Peiliang Wu; Kuihe Yang; Yu Zhang; Yi Liu (MSN, 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 001; Liangxing Wang; Peiliang Wu (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 001; Xiaoying Huang; et al. (IEEE Access, 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; et al. (IEEE Access, 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 001; Huiling Chen 001; Peiliang Wu (Comput. Biol. Medicine, 2021)

A Prediction Method for the RUL of Equipment for Missing Data. - Wenbai Chen; Chang Liu 120; Weizhao Chen; Huixiang Liu; Qili Chen; Peiliang Wu (Complex., 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)

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 (ICDIS, 2022)

Learning global dependencies and multi-semantics within heterogeneous graph for predicting disease-related lncRNAs. - Ping Xuan; Shuai Wang 038; Hui Cui 002; Yue Zhao; Tiangang Zhang; Peiliang Wu (Briefings Bioinform., 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 001; Yanfan Chen; Peiliang Wu (Comput. Biol. Medicine, 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 001; Liangxing Wang; Peiliang Wu (Comput. Biol. Medicine, 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 001; Yanfan Chen (Frontiers Neuroinformatics, 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 001; Huiling Chen 001; Hamza Turabieh; Majdi M. Mafarja; Peiliang Wu (J. King Saud Univ. Comput. Inf. Sci., 2022)

A machine learning framework for identifying influenza pneumonia from bacterial pneumonia for medical decision making. - Qian Zhang 049; Anran Huang; Lianyou Shao; Peiliang Wu; Ali Asghar Heidari; Zhennao Cai; Guoxi Liang; Huiling Chen 001; Fahd Saleh Alotaibi; Majdi M. Mafarja; Jinsheng Ouyang (J. Comput. Sci., 2022)

A novel bipartite consensus tracking scheme for unknown nonlinear multi-agent systems: Theoretical analysis and applications. - Huarong Zhao; Li Peng 004; Peiliang Wu; Hongnian Yu (J. Syst. Control. Eng., 2022)

Self-attention mechanism in person re-identification models. - Wenbai Chen; Yue Lu 008; Hang Ma; Qili Chen; Xibao Wu; Peiliang Wu (Multim. Tools Appl., 2022)

Incentive Mechanism for Edge Computing-Based Blockchain: A Sequential Game Approach. - Wenlong Guo; Zheng Chang 001; Xijuan Guo; Peiliang Wu; Zhu Han 001 (IEEE Trans. Ind. Informatics, 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 001; Yanfan Chen (Frontiers Neuroinformatics, 2022)

Multi-scale memory-enhanced method for predicting the remaining useful life of aircraft engines. - Wenbai Chen; Chang Liu 120; Qili Chen; Peiliang Wu (Neural Comput. Appl., 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 048; Sami Bourouis; Abeer D. Algarni; Chuyue Zhong; Peiliang Wu (Comput. Biol. Medicine, 2023)

Graph Reasoning Method Based on Affinity Identification and Representation Decoupling for Predicting lncRNA-Disease Associations. - Shuai Wang 038; Hui Cui 002; Tiangang Zhang; Peiliang Wu; Toshiya Nakaguchi; Ping Xuan (J. Chem. Inf. Model., 2023)

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)

Semi-supervised imbalanced multi-label classification with label propagation. - Guodong Du 002; Jia Zhang; Ning Zhang; Hanrui Wu; Peiliang Wu; Shaozi Li (Pattern Recognit., 2024)

Consistent epistemic planning for multiagent deep reinforcement learning. - Peiliang Wu; Shicheng Luo; Liqiang Tian; Bingyi Mao; Wenbai Chen (Int. J. Mach. Learn. Cybern., 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., 2024)

MACMPE: Exploration Framework for Multi-agent Reinforcement Learning via Causal Episodic Memory and Potential Evolution. - Liqiang Tian; Peiliang Wu; Qian Zhang; Bingyi Mao; Wenbai Chen (ICIC (12), 2025)

Advancing predictive modeling of LPS-induced acute lung injury: A machine learning model for success rate prediction. - Xinsen Zhou; Chuyue Zhong; Yining Liu; Yangjing Lin; Yujie Fu; Ali Asghar Heidari; Yi Chen 023; Huiling Chen 001; Jinsheng Ouyang; Peiliang Wu (Appl. Soft Comput., 2025)

AffordStruct: Weakly Supervised Affordance Grounding Based on Spatial Interaction and Knowledge-Aware. - Shiyu Wang; Shanyi Zhang; Fengtao Sun; Wenbai Chen; Peiliang Wu (IEEE Trans Autom. Sci. Eng., 2025)

DASP: Hierarchical Offline Reinforcement Learning via Diffusion Autodecoder and Skill Primitive. - Sicheng Liu; Yunchuan Zhang; Wenbai Chen; Peiliang Wu (IEEE Robotics Autom. Lett., 2025)

MambaSlip: A Novel Multimodal Large Language Model for Real-Time Robotic Slip Detection. - Shaohua Zhang; Haoze Li; Bingyi Mao; Fengda Zhao; Wenbai Chen; Guowei Gao; Peiliang Wu (IEEE Robotics Autom. Lett., 2025)