主要论著 以第一/通讯作者身份在国内外重要期刊上发表SCI收录论文40余篇， ESI高被引论文1篇。代表性论文如下： Ø Zhai, C., Yang, L.*, Liu, Y., & Yu, H. (2024). DBMA-Net: A Dual-Branch Multi-Attention Network for Polyp Segmentation. IEEE Transactions on Instrumentation and Measurement. Early Access. Ø Yang, L., Gu, Y., Bian, G., & Liu, Y. (2024). MSDE-Net: A Multi-Scale Dual-Encoding Network for Surgical Instrument Segmentation. IEEE Journal of Biomedical and Health Informatics. Early Access. Ø Liu, Y., Li, X., Yang, L.*, &Yu, H. (2024). A Transformer-based Gesture Prediction Model via sEMG Sensor for Human-robot Interaction. IEEE Transactions on Instrumentation and Measurement, Early Access. Ø Bai, S., Yang, L.*, Liu, Y., & Yu, H. (2024). DMF-Net: A Dual-Encoding Multi-Scale Fusion Network for Pavement Crack Detection. IEEE Transactions on Intelligent Transportation Systems. Early Access. Ø Yang, L., Huang, H., Kong, S., Liu, Y., & Yu, H. (2023). PAF-NET: A Progressive and adaptive fusion network for Pavement Crack Segmentation. IEEE Transactions on Intelligent Transportation Systems, 24(11), 12686-12700. Ø Li, J., Gao, G., Yang, L.*, Bian, G., & Liu, Y. (2023). DPF-Net: A Dual-Path Progressive Fusion Network for Retinal Vessel Segmentation. IEEE Transactions on Instrumentation and Measurement, 72, 2517817. Ø Yang, L., Wang, H., Bian, G., & Liu, Y. (2023). HCTA-Net: A Hybrid CNN-Transformer Attention Network for Surgical Instrument Segmentation. IEEE Transactions on Medical Robotics and Bionics, 5(4), 929-944. Ø Liu, Y., Li, X., Yang, L., Bian, G., & Yu, H. (2023). A CNN-Transformer Hybrid Recognition Approach for sEMG-based Dynamic Gesture Prediction. IEEE Transactions on Instrumentation and Measurement,72, 2514816. Ø Yang, L., Wang, H., Gu, Y., Bian, G., Liu, Y., & Yu, H. (2023). TMA-Net: A Transformer-based Multi-scale Attention Network for Surgical Instrument Segmentation. IEEE Transactions on Medical Robotics and Bionics, 5(2), 323-334. Ø Yang, L., Kong, S., Deng, J., Li, H., & Liu, Y. (2023). DRA-Net: A Dual-Branch Residual Attention Network for Pixelwise Power Line Detection. IEEE Transactions on Instrumentation and Measurement, 72, 5010813. Ø Liu, Y., Shen, J., Yang, L.*, Bian, G., & Yu, H. (2023). ResDO-UNet: A deep residual network for accurate retinal vessel segmentation from fundus images. Biomedical Signal Processing and Control, 79, 104087.(ESI高被引论文) Ø Yang, L., Gu, Y., Bian, G., & Liu, Y. (2022). TMF-Net: A Transformer-based Multiscale Fusion Network for Surgical Instrument Segmentation from Endoscopic Images. IEEE Transactions on Instrumentation and Measurement, 72, 5001715. Ø Yang, L., Gu, Y., Bian, G., & Liu, Y. (2022). DRR-Net: A dense-connected residual recurrent convolutional network for surgical instrument segmentation from endoscopic images. IEEE Transactions on Medical Robotics and Bionics, 4(3), 696-707. Ø Yang, L., Song, S., Fan, J., Huo, B., & Liu, Y. (2021). An Automatic Deep Segmentation Network for Pixel-Level Welding Defect Detection. IEEE Transactions on Instrumentation and Measurement. 71, 5003510. Ø Yang, L., Fan, J., Liu, Y., Li, E., Peng, J., & Liang, Z. (2020). Automatic detection and location of weld beads with deep convolutional neural networks. IEEE Transactions on Instrumentation and Measurement, 70, 5001912. Ø Yang, L., Fan, J., Liu, Y., Li, E., Peng, J., & Liang, Z. (2020). A review on state-of-the-art power line inspection techniques. IEEE Transactions on Instrumentation and Measurement, 69(12), 9350-9365. Ø Yang, L., Liu, Y., Peng, J., & Liang, Z. (2020). A novel system for off-line 3D seam extraction and path planning based on point cloud segmentation for arc welding robot. Robotics and Computer-Integrated Manufacturing, 64, 101929. (河南省教育厅优秀论文奖一等奖) Ø Song, S., Yang, L.*, Huo, B., Wu, M., Liu, Y., & Yu, H. (2022). Electromyographic Signal Based Dynamic Hand Gesture Recognition Using Transfer Learning. In Proceedings of Chinese Intelligent Automation Conference (pp. 389-397). Springer Singapore.(最佳学生应用论文奖) |
