• 四川省科技厅重点研发项目（2023YFG0125), 2023.01.01 - 2024.12.31
  

• 中央引导地方科技发展资金面上项目(22ZYZYTS0172), 2022.09-2023.08
  

• 四川省自然科学基金项目(2022NSFSC0502), 2022.01-2023.12

• 四川省科技厅重点研发项目（21ZDYF1944), 2021.04.01 - 2023.03.31

• 四川省公路局科技项目(2019-01), 2020.5-2022.12
  

• 国家自然科学基金面上项目（61772435），2018.1-2021.12 

• 国家重点研发计划项目，2017.12-2020.11 

• 国家科技支撑计划项目（2015BAH19F02），2015.7-2012.12  

• 四川省科技厅项目(2014SZ0207), 2014.7.1-2016.6.30

• 国家自然科学青年基金项目（61202190）， 2013.1-2015.12 

• 国家自然科学基金(61202191)，2013.1-2015.12 

• 四川省科技创新苗子工程重点项目(2012RZ0008)， 2012.10-2013.9 

Newly accepted

• 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. 2024. [paper]

• 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)

代表性论文 (按时间顺序)  https://dblp.uni-trier.de/pid/03/5954-6.html

计算机视觉：图像识别与分割、生物视觉低层图像处理技术

机器学习技术：弱监督和自监督学习、图学习、跨域学习

人工智能技术应用：图像语言大模型，生成式大模型，基于深度学习的医学诊断、道路工程缺陷检测

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