Peixin Shi

According to our database, Peixin Shi authored at least 18 papers between 2020 and 2026.

Collaborative distances:

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

2026

Graph attention neural network for subsurface stratigraphy on spatial and feature level using multiple-source sparse exploration data.

Xiaoqi Zhou, Brian Sheil, Stephen Suryasentana, Peixin Shi

Adv. Eng. Informatics, 2026

2025

A Spatial Contexts-Informed Self-Supervised Learning Approach for Pavement Distress Segmentation.

Ruiqi Ren, Peixin Shi, Jinwoo Kim

IEEE Trans. Intell. Transp. Syst., December, 2025

An Unsupervised Learning Approach for Pavement Distress Diagnosis via Siamese Networks.

Ruiqi Ren, Peixin Shi, Pengjiao Jia, Jinwoo Kim

IEEE Trans. Intell. Transp. Syst., February, 2025

Graph neural network with generative adversarial training for node classification on class imbalanced data.

Xiaoqi Zhou, Peixin Shi

Eng. Appl. Artif. Intell., 2025

RepCrack: An efficient pavement crack segmentation method based on structural re-parameterization.

Minglun Ni, Lei Chen, Peixin Shi, Ruiqi Ren

Eng. Appl. Artif. Intell., 2025

Multi-scale generative adversarial network for 2D subsurface reconstruction using multi-fidelity geological exploration data.

Xiaoqi Zhou, Peixin Shi

Adv. Eng. Informatics, 2025

2024

A novel gradient boosting approach for imbalanced regression.

Wenchao Zhang, Peixin Shi, Pengjiao Jia, Xiaoqi Zhou

Neurocomputing, 2024

Domain knowledge-guided Bayesian evolutionary trees for estimating the compression modulus of soils containing missing values.

Wenchao Zhang, Peixin Shi, Huajing Zhao, Zhansheng Wang, Pengjiao Jia

Eng. Appl. Artif. Intell., 2024

Multi-fidelity fusion for soil classification via LSTM and multi-head self-attention CNN model.

Xiaoqi Zhou, Brian Sheil, Stephen Suryasentana, Peixin Shi

Adv. Eng. Informatics, 2024

Knowledge-based U-Net and transfer learning for automatic boundary segmentation.

Xiaoqi Zhou, Peixin Shi, Brian Sheil, Stephen Suryasentana

Adv. Eng. Informatics, 2024

2023

A Semi-Supervised Learning Approach for Pixel-Level Pavement Anomaly Detection.

Ruiqi Ren, Peixin Shi, Pengjiao Jia, Xiangyang Xu

IEEE Trans. Intell. Transp. Syst., September, 2023

A novel hybrid model for missing deformation data imputation in shield tunneling monitoring data.

Cheng Chen, Peixin Shi, Xiaoqi Zhou, Ben Wu, Pengjiao Jia

Adv. Eng. Informatics, April, 2023

Missing Data Analysis and Soil Compressive Modulus Estimation via Bayesian Evolutionary Trees.

Wenchao Zhang, Peixin Shi, Xiaoqi Zhou, Pengjiao Jia

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

2022

Automatic Identification and Intelligent Optimization of Tunnel-Free Curve Reconfiguration.

Zihan Wang, Peixin Shi, Xunqian Xu, Xiangyang Xu, Feng Xie, Hao Yang

Symmetry, 2022

Improving the Accuracy of an R-CNN-Based Crack Identification System Using Different Preprocessing Algorithms.

Mian Zhao, Peixin Shi, Xunqian Xu, Xiangyang Xu, Wei Liu, Hao Yang

Sensors, 2022

Crack Detection and Comparison Study Based on Faster R-CNN and Mask R-CNN.

Xiangyang Xu, Mian Zhao, Peixin Shi, Ruiqi Ren, Xuhui He, Xiaojun Wei, Hao Yang

Sensors, 2022

A case study of newly tunnels over-crossing the existing subway tunnels.

Ben Wu, Wei Liu, Peixin Shi, Xiangyang Xu, Yingjing Liu

Int. J. Distributed Sens. Networks, 2022

2020

Sustainable Competitiveness Evaluation for Container Liners Using a Novel Hybrid Method with Intuitionistic Fuzzy Linguistic Variables.

Junzhong Bao, Yuanzi Zhou, Peixin Shi, Xizhao Wang

Proceedings of the Neural Computing for Advanced Applications, 2020