博士生导师 硕士生导师
学历:博士研究生毕业
办公地点:西南交通大学计算机与人工智能学院人工智能系
主要任职:Professor
其他任职:博导
毕业院校:香港理工大学
所在单位:计算机与人工智能学院
其他联系方式:
Newly accepted
Tingyu Zhao,Bo Peng*, Zhenguang Zhang,Daipeng Yang, Xi Wu.Content-Aware Dynamic Superpixel Segmentation. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025. (CCF B)
Yuhao Mo, Bo Peng, Bihan Wen, Xulei Yang, Ce Zhu, Xun Xu.Distribution. Alignment Informed Thresholding for Semi-Supervised Curvilinear Structure Segmentation. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025. (CCF B)
Zhenguang Zhang, Bo Peng*, et al. , An ultra-lightweight network combining Mamba and frequency-domain feature extraction for pavement tiny-crack segmentation. Expert Systems With Applications. 2025. [paper]
代表性论文:
Kunlun Wu, Bo Peng, et al. Boundary-aware Axial Attention Network for High-quality Pavement Crack Detection. IEEE Transactions on Neural Networks and Learning Systems. 2024. [paper]
Jia Zhang, Bo Peng*, et al. Weakly Supervised Semantic Segmentation by Knowledge Graph Inference. Engineering Applications of Artificial Intelligence. 2024 [paper]
Zhenguang Zhang, Zaid Al-Huda, Bo Peng*, Jie Hu. A bio-inspired network with automatic brightness adaptation for pavement crack detection in different environments. IEEE Transactions on Instrumentation and Measurement. 2024 [paper]
Xiaofan Li, Bo Peng*, et al., Difficult Airway Assessment with Multi-View Contrastive Representation Prior and Ensemble Classification. Biomedical Signal Processing and Control. (98):106738, 2024. [paper]
Omar Al-maqtari, Bo Peng* et al. Transformer-Based Thin Crack Segmentation: An Efficient Multiscale Approach for Automatic Visual Inspection. Signal, Image and Video Processing. 2024. [paper][code]
Daipeng Yang, Bo Peng*, Xi Wu. A bio-inspired edge and segment detection method by modeling multiple visual regions. The Visual Computer. 2024. [paper][code]
Mingxu Li, Bo Peng, et al., Latent Space Segmentation model for Visual Surface Defect Inspection. IEEE Transactions on Instrumentation and Measurement. 2024. [paper]
Peng Huang, Shu Hu, Bo Peng, et al. Robustly Optimized Deep Feature Decoupling Network for Fatty Liver Diseases Detection. MICCAI 2024. [paper][code] (CCF B类会议)
Omar Al-maqtari, Bo Peng* et al. Lightweight Yet Effective: A Modular Approach to Crack Segmentation. IEEE Transactions on Intelligent Vehicles. 2024. [paper] [code] (IF: 14)
Tingyu Zhao, Bo Peng*, et al. Rethinking Superpixel Segmentation from Biologically Inspired Mechanisms. Applied Soft Computing. 156: 111467, 2024. [paper][code] (IF: 7.2)
Xiaofan Li,Bo Peng*,et al. USL-Net: Uncertainty Self-Learning Network for Unsupervised Skin Lesion Segmentation, Biomedical Signal Processing and Control. 89,105769, 2024 [paper](IF: 4.9)
Zaid Al-Huda, Bo Peng*, et al. Asymmetric Dual-Decoder-U-Net for Pavement Crack Semantic Segmentation. Automation in Construction. 156,105138, 2023 (IF: 10.3)
Zaid Al-Huda, Bo Peng*, et al. A Hybrid Deep Learning Pavement Crack Semantic Segmentation. Engineering Applications of Artificial Intelligence. 122, 106142, 2023. (ESI 热点论文)
更多请见(按时间顺序) https://dblp.uni-trier.de/pid/03/5954-6.html
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