Sustainable Competitiveness Evaluation for Container Liners Using a Novel Hybrid Method with Intuitionistic Fuzzy Linguistic Variables. - Junzhong Bao; Yuanzi Zhou; Peixin Shi; Xizhao Wang (NCAA, 2020)

A case study of newly tunnels over-crossing the existing subway tunnels. - Ben Wu 003; Wei Liu; Peixin Shi; Xiangyang Xu; Yingjing Liu (Int. J. Distributed Sens. Networks, 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 003 (Sensors, 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 003 (Sensors, 2022)

Automatic Identification and Intelligent Optimization of Tunnel-Free Curve Reconfiguration. - Zihan Wang; Peixin Shi; Xunqian Xu; Xiangyang Xu; Feng Xie; Hao Yang 003 (Symmetry, 2022)

Missing Data Analysis and Soil Compressive Modulus Estimation via Bayesian Evolutionary Trees. - Wenchao Zhang; Peixin Shi; Xiaoqi Zhou; Pengjiao Jia (ICIC (4), 2023)

A novel hybrid model for missing deformation data imputation in shield tunneling monitoring data. - Cheng Chen; Peixin Shi; Xiaoqi Zhou; Ben Wu 003; Pengjiao Jia (Adv. Eng. Informatics, 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., 2023)

Knowledge-based U-Net and transfer learning for automatic boundary segmentation. - Xiaoqi Zhou; Peixin Shi; Brian Sheil; Stephen Suryasentana (Adv. Eng. Informatics, 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)

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)

A novel gradient boosting approach for imbalanced regression. - Wenchao Zhang; Peixin Shi; Pengjiao Jia; Xiaoqi Zhou (Neurocomputing, 2024)

Multi-scale generative adversarial network for 2D subsurface reconstruction using multi-fidelity geological exploration data. - Xiaoqi Zhou; Peixin Shi (Adv. Eng. Informatics, 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)

An Unsupervised Learning Approach for Pavement Distress Diagnosis via Siamese Networks. - Ruiqi Ren; Peixin Shi; Pengjiao Jia; Jinwoo Kim (IEEE Trans. Intell. Transp. Syst., 2025)