个人信息姓名：苏鹏翔
国籍：中国
性别：男
职称：讲师
学位：博士
电子邮件：supengxiang@ncu.edu.cn
所在单位：软件学院
办公地址：软件楼208
个人信息个人简介：
苏鹏翔，博士，毕业于吉林大学。主要在多模态临床生存分析、医学图像分割、疾病诊断、三维重建和人体运动分析等领域展开探索与研究。
目前发表论文二十余篇，其中以第一作者或通讯作者在计算机视觉、多媒体等领域的顶级学术会议和主流期刊上发表论文十余篇。担任IEEE International Conference on Multimedia & Expo、International Conference on Artificial Neural Networks、Knowledge based Systems、MultimediaTools and Application和Multimedia System等国际会议和期刊的审稿人。
学习和工作经历：
2022.12-至今 南昌大学软件学院 讲师
2019.09-2022.12 吉林大学计算机科学与技术学院 博士
2016.09-2019.06 厦门大学生命科学学院 硕士
研究领域：
多模态数据分析、医学图像分割、医学图像分类、三维重建、人体运动预测、人体姿态估计
发表论文：
2026
1. Ren, G., Chen, Z., Su, P. et al. (2026). CFG-MambaNet: Contextual and Frequency-Guided Mamba Network for medical image segmentation. npj Digital Medicine. （中科院一区，共同第一作者）
2. Yuan, H., Di, G., & Su, P. (2026, May). Mcanet: A Multi-Scale Cross-Level Attention Network for Colorectal Polyp Image Segmentation. In ICASSP 2026-2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 1-5). IEEE. （CCF-B类会议，通讯作者）
3. Yang, Z., Liu, J., Ding, X., Wei, W., Su, P., He, C. (2026, May). Dense Rgb-D Slam for Endoscopic Surgery via Quadratic Gaussian Splatting, Endoqs-slam. In ICASSP 2026-2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 1-5). IEEE. （CCF-B类会议，通讯作者）
2025
1. Liao, C., Wan, H., Xu, J., Su, P., & Wei, X. (2025). An open-set few-shot face recognition framework with balanced adaptive cohesive mixing. Neurocomputing, 131379.（中科院二区，CCF-C类期刊，普通作者）
2. Hu, J., Liao, Z., Bian, C., Gai, D., Wu, X., Su, P., ... & Li, H. (2025). Dynamic Context-guided Feature Fusion Network for gastrointestinal tumor image segmentation. Alexandria Engineering Journal, 130, 1029-1043.（中科院二区，通讯作者）
3. Xu, J., Wang, B., Wan, H., Su, P., & Wei, X. (2025). Adaptive blank compensation for few-shot image classification. Neurocomputing, 637, 130127. （普通作者）
4. Sheng, W., Liu, H., Fan, K., & Su, P. (2025). GeoRF: Geometric Constrained RaDAR Fields. IEEE Access. （中科院四区，通讯作者）
5. Geng, J., Wu, Y., Lu, W., Su, P., Ksibi, A., Li, W., ... & Gai, D. (2025). Human Motion Prediction Based on Multi-Level Spatial and Temporal Cues Learning. Computers, Materials and Continua, 85(2), 3689-3707. （中科院四区，通讯作者）
6. Wei, W., Chen, H., & Su, P. (2025, April). Learning Two-factor Representation for Magnetic Resonance Image Super-resolution. In ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 1-5). IEEE. （CCF-B类会议，通讯作者）
7. Liao, Z., Wang, Q., Tang, X., Wang, H., Hu, J., Su, P., ... & Li, H. (2025). Edge-Guided Multi-Scale Frequency Attention Network for Gastrointestinal Cancer Image Segmentation. IEEE Journal of Biomedical and Health Informatics.（中科院一区，CCF-C类期刊，通讯作者）
8. Yang, J., Dai, J., Tang, X., Khan, M. A., Ayadi, M., Shaikh, Z. A., ... Su, P., & Por, L. Y. (2025). TeleXAI-R: A Real-Time Explainable AI Model for Remote Patient Risk Stratification using IoT-Integrated Consumer Devices. IEEE Transactions on Consumer Electronics. （中科院二区，普通作者）
2024
1. Wei, X., Sun, J., Su, P., Wan, H., & Ning, Z. (2024). BCL-Former: Localized Transformer Fusion with Balanced Constraint for polyp image segmentation. Computers in Biology and Medicine, 182, 109182. （中科院二区，普通作者）
2. Wei, W., Wang, J., Xie, X., Liu, J., & Su, P. (2024). Real-Time Dense Visual SLAM with Neural Factor Representation. Electronics, 13(16), 3332. （中科院四区，通讯作者）
3. Du, T., Wang, J., Xie, X., Li, W., Su, P., & Liu, J. (2024). Temporal residual neural radiance fields for monocular video dynamic human body reconstruction. Journal of Electronic Imaging, 33(4), 043018-043018. （中科院四区，普通作者）
4. Liao, Y., Li, W., Su, P., & Liu, J. (2024, December). Cross-Weather 3D Point Cloud Semantic Segmentation. In 2024 4th International Conference on Robotics, Automation and Intelligent Control (ICRAIC) (pp. 448-452). IEEE. （EI会议，普通作者）
2023
1. Gai, D., Feng, R., Min, W., Yang, X., Su, P., Wang, Q., & Han, Q. (2023). Spatiotemporal learning transformer for video-based human pose estimation. IEEE Transactions on Circuits and Systems for Video Technology, 33(9), 4564-4576. （中科院一区，CCF-B类期刊，普通作者）
2. Chen, H., Hu, J., Zhang, W., & Su, P. (2023). Spatiotemporal consistency learning from momentum cues for human motion prediction. IEEE Transactions on Circuits and Systems for Video Technology, 33(9), 4577-4587. （中科院一区，CCF-B类期刊，普通作者）
3. Gai, D., Zhang, J., Xiao, Y., Min, W., Chen, H., Wang, Q., Su, P., & Huang, Z. (2023). GL-Segnet: Global-Local representation learning net for medical image segmentation. Frontiers in Neuroscience, 17, 1153356. （中科院三区，普通作者）
4. Su, P., Shen, X., Chen, H., Gai, D., & Liu, Y. (2023). M-AResNet: a novel multi-scale attention residual network for melting curve image classification. Multimedia Tools and Applications, 82(27), 42961-42976.（中科院四区，CCF-C类期刊，第一作者）
5. Peng, X. Y., Su, P., Guo, Y., Zhang, J., Peng, L., & Zhang, R. (2023). A Microfluidic Experimental Method for Studying Cell-to-Cell Exosome Delivery–Taking Stem Cell–Tumor Cell Interaction as a Case. International Journal of Molecular Sciences, 24(17), 13419. （中科院二区，普通作者）
6. Gai, D., Luo, H., He, J., Su, P., Huang, Z., Zhang, S., & Tu, Z. (2023). MLSE-Net: Multi-level Semantic Enriched Network for Medical Image Segmentation. KSII Transactions on Internet & Information Systems, 17(9). （中科院四区，普通作者）
2022
1. Su, P., Shen, X., Shi, Z., & Liu, W. (2022, July). Adaptive multi-order graph neural networks for human motion prediction. In 2022 IEEE International Conference on Multimedia and Expo (ICME) (pp. 1-6). IEEE. （CCF-B类会议，第一作者）
2. Su, P., Shen, X., & Chen, H. (2022, September). Multiscale Spatial and Temporal Learning for Human Motion Prediction. In International Conference on Artificial Neural Networks (pp. 593-604). Cham: Springer Nature Switzerland. （CCF-C类会议，第一作者）
3. Jiao, Y., Chen, H., Yao, C., Su, P., Fu, C., & Wang, X. (2022, July). Spatial-temporal correlation modeling for motion prediction. In 2022 IEEE International Conference on Multimedia and Expo (ICME) (pp. 1-6). IEEE. （CCF-B类会议，通讯作者）
2021
1. Su, P., Liu, Z., et al., Motion Prediction via Joint Dependency Modeling in Phase Space, ACM International Conference on Multimedia. 2021: 713-721. (CCF-A会议，第一作者)
2. Liu, Z., Su, P., et al., Motion Prediction using Trajectory Cues, IEEE International Conference on Computer Vision. 2021: 13299-13308. (CCF-A会议，通讯作者)
主持和参与项目：
1. 江西省自然科学基金青年项目， 基于视觉信息捕捉的人机协作控制轨迹优化技术研究，主持
2. 江西省自然科学基金面上项目， 小儿骨科影像智能化解析与个性化报告生成技术研究，参与
3. 国家自然科学基金面上项目，基于多元像素的多模态医学图像分割关键技术研究，参与
4. 国家自然科学基金面上项目，IPS细胞-肿瘤细胞体外精密实时微环境控制芯片实验室新技术研究，参与
5. 横向项目，消化道肿瘤早期筛查新技术研究，主持
发明专利：
1. 基于人工智能的计算机视觉图像处理方法，ZL 2025 1 0941034.9
2. 一种基于全局-局部特征的行人检测方法，ZL 2024 1 0741189.3
[1] 201909-202212 吉林大学 博士研究生
[2] 201609-201906 厦门大学 硕士研究生
2025
2026
1. Ren, G., Chen, Z., Su, P. et al. (2026). CFG-MambaNet: Contextual and Frequency-Guided Mamba Network for medical image segmentation. npj Digital. Medicine. （中科院一区，共同第一作者）
2. Yuan, H., Di, G., & Su, P. (2026, May). Mcanet: A Multi-Scale Cross-Level Attention Network for Colorectal Polyp Image Segmentation. In ICASSP 2026-2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 1-5). IEEE. （CCF-B类会议，通讯作者）
3. Yang, Z., Liu, J., Ding, X., Wei, W., Su, P., He, C. (2026, May). Dense Rgb-D Slam for Endoscopic Surgery via Quadratic Gaussian Splatting, Endoqs-slam. In ICASSP 2026-2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 1-5). IEEE. （CCF-B类会议，通讯作者）
2025
1. Liao, C., Wan, H., Xu, J., Su, P., & Wei, X. (2025). An open-set few-shot face recognition framework with balanced adaptive cohesive mixing. Neurocomputing, 131379.（中科院二区，CCF-C类期刊，普通作者）
2. Hu, J., Liao, Z., Bian, C., Gai, D., Wu, X., Su, P., ... & Li, H. (2025). Dynamic Context-guided Feature Fusion Network for gastrointestinal tumor image segmentation. Alexandria Engineering Journal, 130, 1029-1043.（中科院二区，通讯作者）
3. Xu, J., Wang, B., Wan, H., Su, P., & Wei, X. (2025). Adaptive blank compensation for few-shot image classification. Neurocomputing, 637, 130127. （普通作者）
4. Sheng, W., Liu, H., Fan, K., & Su, P. (2025). GeoRF: Geometric Constrained RaDAR Fields. IEEE Access. （中科院四区，通讯作者）
5. Geng, J., Wu, Y., Lu, W., Su, P., Ksibi, A., Li, W., ... & Gai, D. (2025). Human Motion Prediction Based on Multi-Level Spatial and Temporal Cues Learning. Computers, Materials and Continua, 85(2), 3689-3707. （中科院四区，通讯作者）
6. Wei, W., Chen, H., & Su, P. (2025, April). Learning Two-factor Representation for Magnetic Resonance Image Super-resolution. In ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 1-5). IEEE. （CCF-B类会议，通讯作者）
7. Liao, Z., Wang, Q., Tang, X., Wang, H., Hu, J., Su, P., ... & Li, H. (2025). Edge-Guided Multi-Scale Frequency Attention Network for Gastrointestinal Cancer Image Segmentation. IEEE Journal of Biomedical and Health Informatics.（中科院一区，CCF-C类期刊，通讯作者）
8. Yang, J., Dai, J., Tang, X., Khan, M. A., Ayadi, M., Shaikh, Z. A., ... Su, P., & Por, L. Y. (2025). TeleXAI-R: A Real-Time Explainable AI Model for Remote Patient Risk Stratification using IoT-Integrated Consumer Devices. IEEE Transactions on Consumer Electronics. （中科院二区，普通作者）
2024
1. Wei, X., Sun, J., Su, P., Wan, H., & Ning, Z. (2024). BCL-Former: Localized Transformer Fusion with Balanced Constraint for polyp image segmentation. Computers in Biology and Medicine, 182, 109182. （中科院二区，普通作者）
2. Wei, W., Wang, J., Xie, X., Liu, J., & Su, P. (2024). Real-Time Dense Visual SLAM with Neural Factor Representation. Electronics, 13(16), 3332. （中科院四区，通讯作者）
3. Du, T., Wang, J., Xie, X., Li, W., Su, P., & Liu, J. (2024). Temporal residual neural radiance fields for monocular video dynamic human body reconstruction. Journal of Electronic Imaging, 33(4), 043018-043018. （中科院四区，普通作者）
4. Liao, Y., Li, W., Su, P., & Liu, J. (2024, December). Cross-Weather 3D Point Cloud Semantic Segmentation. In 2024 4th International Conference on Robotics, Automation and Intelligent Control (ICRAIC) (pp. 448-452). IEEE. （EI会议，普通作者）
2023
1. Gai, D., Feng, R., Min, W., Yang, X., Su, P., Wang, Q., & Han, Q. (2023). Spatiotemporal learning transformer for video-based human pose estimation. IEEE Transactions on Circuits and Systems for Video Technology, 33(9), 4564-4576. （中科院一区，CCF-B类期刊，普通作者）
2. Chen, H., Hu, J., Zhang, W., & Su, P. (2023). Spatiotemporal consistency learning from momentum cues for human motion prediction. IEEE Transactions on Circuits and Systems for Video Technology, 33(9), 4577-4587. （中科院一区，CCF-B类期刊，普通作者）
3. Gai, D., Zhang, J., Xiao, Y., Min, W., Chen, H., Wang, Q., Su, P., & Huang, Z. (2023). GL-Segnet: Global-Local representation learning net for medical image segmentation. Frontiers in Neuroscience, 17, 1153356. （中科院三区，普通作者）
4. Su, P., Shen, X., Chen, H., Gai, D., & Liu, Y. (2023). M-AResNet: a novel multi-scale attention residual network for melting curve image classification. Multimedia Tools and Applications, 82(27), 42961-42976.（中科院四区，CCF-C类期刊，第一作者）
5. Peng, X. Y., Su, P., Guo, Y., Zhang, J., Peng, L., & Zhang, R. (2023). A Microfluidic Experimental Method for Studying Cell-to-Cell Exosome Delivery–Taking Stem Cell–Tumor Cell Interaction as a Case. International Journal of Molecular Sciences, 24(17), 13419. （中科院二区，普通作者）
6. Gai, D., Luo, H., He, J., Su, P., Huang, Z., Zhang, S., & Tu, Z. (2023). MLSE-Net: Multi-level Semantic Enriched Network for Medical Image Segmentation. KSII Transactions on Internet & Information Systems, 17(9). （中科院四区，普通作者）
2022
1. Su, P., Shen, X., Shi, Z., & Liu, W. (2022, July). Adaptive multi-order graph neural networks for human motion prediction. In 2022 IEEE International Conference on Multimedia and Expo (ICME) (pp. 1-6). IEEE. （CCF-B类会议，第一作者）
2. Su, P., Shen, X., & Chen, H. (2022, September). Multiscale Spatial and Temporal Learning for Human Motion Prediction. In International Conference on Artificial Neural Networks (pp. 593-604). Cham: Springer Nature Switzerland. （CCF-C类会议，第一作者）
3. Jiao, Y., Chen, H., Yao, C., Su, P., Fu, C., & Wang, X. (2022, July). Spatial-temporal correlation modeling for motion prediction. In 2022 IEEE International Conference on Multimedia and Expo (ICME) (pp. 1-6). IEEE. （CCF-B类会议，通讯作者）
2021
1. Su, P., Liu, Z., et al., Motion Prediction via Joint Dependency Modeling in Phase Space, ACM International Conference on Multimedia. 2021: 713-721. (CCF-A会议，第一作者)
2. Liu, Z., Su, P., et al., Motion Prediction using Trajectory Cues, IEEE International Conference on Computer Vision. 2021: 13299-13308. (CCF-A会议，通讯作者)
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