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
Jia Zhang, Bo Peng*, Xi Wu, Jie Hu. 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)
代表性论文 (按时间顺序) https://dblp.uni-trier.de/pid/03/5954-6.html
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