Peixin Shi - RankMe

18 papers Journal 16Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Graph attention neural network for subsurface stratigraphy on spatial and feature level using multiple-source sparse exploration data. Adv. Eng. Informatics Xiaoqi Zhou, Brian Sheil, Stephen Suryasentana, Peixin Shi
2025	J	`jnl`	A Spatial Contexts-Informed Self-Supervised Learning Approach for Pavement Distress Segmentation. IEEE Trans. Intell. Transp. Syst. Ruiqi Ren, Peixin Shi, Jinwoo Kim
2025	J	`jnl`	An Unsupervised Learning Approach for Pavement Distress Diagnosis via Siamese Networks. IEEE Trans. Intell. Transp. Syst. Ruiqi Ren, Peixin Shi, Pengjiao Jia, Jinwoo Kim
2025	J	`jnl`	Graph neural network with generative adversarial training for node classification on class imbalanced data. Eng. Appl. Artif. Intell. Xiaoqi Zhou, Peixin Shi
2025	J	`jnl`	Multi-scale generative adversarial network for 2D subsurface reconstruction using multi-fidelity geological exploration data. Adv. Eng. Informatics Xiaoqi Zhou, Peixin Shi
2025	J	`jnl`	RepCrack: An efficient pavement crack segmentation method based on structural re-parameterization. Eng. Appl. Artif. Intell. Minglun Ni, Lei Chen, Peixin Shi, Ruiqi Ren
2024	J	`jnl`	A novel gradient boosting approach for imbalanced regression. Neurocomputing Wenchao Zhang, Peixin Shi, Pengjiao Jia, Xiaoqi Zhou
2024	J	`jnl`	Domain knowledge-guided Bayesian evolutionary trees for estimating the compression modulus of soils containing missing values. Eng. Appl. Artif. Intell. Wenchao Zhang, Peixin Shi, Huajing Zhao, Zhansheng Wang, Pengjiao Jia
2024	J	`jnl`	Knowledge-based U-Net and transfer learning for automatic boundary segmentation. Adv. Eng. Informatics Xiaoqi Zhou, Peixin Shi, Brian Sheil, Stephen Suryasentana
2024	J	`jnl`	Multi-fidelity fusion for soil classification via LSTM and multi-head self-attention CNN model. Adv. Eng. Informatics Xiaoqi Zhou, Brian Sheil, Stephen Suryasentana, Peixin Shi
2023	J	`jnl`	A Semi-Supervised Learning Approach for Pixel-Level Pavement Anomaly Detection. IEEE Trans. Intell. Transp. Syst. Ruiqi Ren, Peixin Shi, Pengjiao Jia, Xiangyang Xu
2023	J	`jnl`	A novel hybrid model for missing deformation data imputation in shield tunneling monitoring data. Adv. Eng. Informatics Cheng Chen, Peixin Shi, Xiaoqi Zhou, Ben Wu, Pengjiao Jia
2023	—	`conf`	Missing Data Analysis and Soil Compressive Modulus Estimation via Bayesian Evolutionary Trees. ICIC (4) Wenchao Zhang, Peixin Shi, Xiaoqi Zhou, Pengjiao Jia
2022	J	`jnl`	A case study of newly tunnels over-crossing the existing subway tunnels. Int. J. Distributed Sens. Networks Ben Wu, Wei Liu, Peixin Shi, Xiangyang Xu, Yingjing Liu
2022	J	`jnl`	Automatic Identification and Intelligent Optimization of Tunnel-Free Curve Reconfiguration. Symmetry Zihan Wang, Peixin Shi, Xunqian Xu, Xiangyang Xu, Feng Xie, Hao Yang
2022	J	`jnl`	Crack Detection and Comparison Study Based on Faster R-CNN and Mask R-CNN. Sensors Xiangyang Xu, Mian Zhao, Peixin Shi, Ruiqi Ren, Xuhui He, Xiaojun Wei, Hao Yang
2022	J	`jnl`	Improving the Accuracy of an R-CNN-Based Crack Identification System Using Different Preprocessing Algorithms. Sensors Mian Zhao, Peixin Shi, Xunqian Xu, Xiangyang Xu, Wei Liu, Hao Yang
2020	—	`conf`	Sustainable Competitiveness Evaluation for Container Liners Using a Novel Hybrid Method with Intuitionistic Fuzzy Linguistic Variables. NCAA Junzhong Bao, Yuanzi Zhou, Peixin Shi, Xizhao Wang