Pei Shi

13 papers Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Bridging the Indoor-Outdoor Gap: Vision-Centric Instruction-Guided Embodied Navigation for the Last Meters.
CoRR
Yuxiang Zhao, Yirong Yang, Yanqing Zhu, Yanfen Shen, Chiyu Wang, Zhining Gu, Pei Shi, Wei Guo, Mu Xu
2025 J jnl
A multiple convolution and bilayer acceleration model for precise and efficient early urban fire detection in complex scenarios.
Eng. Appl. Artif. Intell.
Pei Shi, Jun Lu, Yachen Xu, Quan Wang, Yonghong Zhang, Liang Kuang, Deji Chen, Guangyan Huang
2025 J jnl
Review of Surface-Defect Detection Methods for Industrial Products Based on Machine Vision.
IEEE Access
Quan Wang, Mengnan Wang, Jiadong Sun, Deji Chen, Pei Shi
2025 J jnl
SocialNav: Training Human-Inspired Foundation Model for Socially-Aware Embodied Navigation.
CoRR
Ziyi Chen, Yingnan Guo, Zedong Chu, Minghua Luo, Yanfen Shen, Mingchao Sun, Junjun Hu, Shichao Xie, Kuan Yang, Pei Shi, Zhining Gu, Lu Liu, Honglin Han, Xiaolong Wu, Mu Xu, Yu Zhang
2023 J jnl
Persistent Ballistic Entanglement Spreading with Optimal Control in Quantum Spin Chains.
CoRR
Ying Lu, Pei Shi, Xiao-Han Wang, Jie Hu, Shi-Ju Ran
2022 J jnl
Deep Machine Learning Reconstructing Lattice Topology with Strong Thermal Fluctuations.
CoRR
Xiao-Han Wang, Pei Shi, Bin Xi, Jie Hu, Shi-Ju Ran
2022 J jnl
Traffic flow prediction using multi-view graph convolution and masked attention mechanism.
Comput. Commun.
Lingqiang Chen, Pei Shi, Guanghui Li, Tao Qi
2021 J jnl
A Missing Type-Aware Adaptive Interpolation Framework for Sensor Data.
IEEE Trans. Instrum. Meas.
Lingqiang Chen, Guanghui Li, Guangyan Huang, Pei Shi
2020 J jnl
An Enhanced Extreme Learning Machine for Dissolved Oxygen Prediction in Wireless Sensor Networks.
IEEE Access
Liang Kuang, Pei Shi, Chi Hua, Beijing Chen, Hui Zhu
2019 J jnl
Outlier Detection Using Improved Support Vector Data Description in Wireless Sensor Networks.
Sensors
Pei Shi, Guanghui Li, Yongming Yuan, Liang Kuang
2019 J jnl
Prediction of dissolved oxygen content in aquaculture using Clustering-based Softplus Extreme Learning Machine.
Comput. Electron. Agric.
Pei Shi, Guanghui Li, Yongming Yuan, Guangyan Huang, Liang Kuang
2018 J jnl
Data Fusion Using Improved Support Degree Function in Aquaculture Wireless Sensor Networks.
Sensors
Pei Shi, Guanghui Li, Yongming Yuan, Liang Kuang
2008 — conf
Lower Extremity Exoskeleton Control and Stability Analysis Based on Virtual Prototyping Technique.
CSSE (1)
Pei Shi, Yi Zhang, Xiuxia Yang