首页 > 科学研究 > 科研团队 > 物联网工程系 > 物联网智能芯片与系统团队

骆春波

职称: 教授

系别: 物联网工程系

团队: 物联网只能芯片与系统团队

邮箱: c.luo@uestc.edu.cn

  • 教师简介

    2008/04–2011/07，英国雷丁大学，博士；
    2005/09–2007/12，新葡的京集团35222vip，电子工程公司，硕士；
    2001/09–2005/07，新葡的京集团35222vip，电子工程公司，学士。

  • 科学研究

    研究方向：无线通信和无人机网络；人工智能和机器学习。
    科研概况：教授、博导，新葡的京集团35222vip，国家级特聘青年专家。主要研究方向为机器学习及人工智能技术在无线通信、无人机、信号处理等领域的应用。作为项目负责人主持了多项国家自然科学基金、重点研发等项目。在IEEE相关领域的一流期刊和会议，例如IEEE Transactions on Wireless Communications, IEEE Transactions on Vehicular Technology, IEEE Transactions on Aerospace and Electronic Systems, IEEE Transactions on Geoscience and Remote Sensing和IEEE CVPR、ICCV、Globecom等发表以上两个研究方向的科研论文100余篇，并主持多项国际学术会议，获省部级二等奖及行业协会二等奖各一项。

    教师主页：https://faculty.uestc.edu.cn/luochunbo1/zh_CN/index.htm

    近3年代表性论文：（1）无线通信和无人机网络方向
    1.    J. Cao, C. Luo and Y. Luo, “Tensor-Based Hybrid-Field Channel Estimation for Extremely Large-Scale Massive MIMO Systems,” in IEEE Transactions on Wireless Communications, 2026, early access.
    2.    Y. Yin, C. Luo, X. Pu, Y. Maryeand and Y. Luo, “Deep Learning for Channel Code Type Recognition,” in IEEE Transactions on Vehicular Technology, 2026, early access.
    3.    Z. Deng, C. Luo, Z. Tang, X. Pu and Y. Luo, “An Orthogonal Pseudo-Prototype and Pseudo-Target Based Method for Few-Shot Class-Incremental Automatic Modulation Recognition,” in IEEE Transactions on Cognitive Communications and Networking, 2026, early access.
    4.    L. Bai, Z. Li and Y. Luo, "Joint Optimization of STAR-RIS-Assisted Maritime UAV Communications," in IEEE Transactions on Vehicular Technology, 2026, early access.
    5.    Q. Ding, J. Yang, Y. Luo and C. Luo, "Intelligent Reflecting Surfaces vs. Full-Duplex Relays: A Comparison in the Air," in IEEE Communications Letters, vol. 28, no. 2, pp. 397-401, Feb. 2024.
    6.    J. Xie, Y. Luo, H. Yang, Z. Liu and C. Luo, "A Dynamic Group-Connected Design With True-Time-Delay for Wideband THz Beamforming," in IEEE Transactions on Vehicular Technology, vol. 73, no. 1, pp. 1441-1446, Jan. 2024.
    7.    Q. Ding, Y. Luo and C. Luo, “Throughput Maximization of Flexible Duplex Networks with an In-Band Full-Duplex UAV-BS,” ICC 2023 - IEEE International Conference on Communications, Rome, Italy, pp. 6411-6416, 2023.
    8.    Z. Liu, Y. Luo, Y. Xu and C. Luo, "A Deep Constrained and Synchronous Training Framework for Hybrid Precoding," in IEEE Communications Letters, vol. 26, no. 6, pp. 1288-1292, June 2022.
    9.    Ding Q, Luo Y, Yang R, Hu J, Luo C. Joint deployment, beamforming and power allocation of MmWave full-duplex UAV-BS. InProceedings of the 5th International ACM Mobicom Workshop on Drone Assisted Wireless Communications for 5G and Beyond 2022 Oct 17 (pp. 127-132).
    10.    Y. Luo, C. Luo, G. Min, G. Parr and S. McClean, "On the Study of Sustainability and Outage of SWIPT-Enabled Wireless Communications," in IEEE Journal of Selected Topics in Signal Processing, vol. 15, no. 5, pp. 1159-1168, Aug. 2021.
    11.    Ding Q, Yang J, Luo Y, Luo C. Towards the THz Networks in the 6G Era. arXiv preprint arXiv:2403.08680. 2024 Mar 13.
    12.    F. Zhang, C. Luo, J. Xu and Y. Luo, "An Autoencoder-Based I/Q Channel Interaction Enhancement Method for Automatic Modulation Recognition," in IEEE Transactions on Vehicular Technology, vol. 72, no. 7, pp. 9620-9625, July 2023.
    13.    F. Zhang, C. Luo, J. Xu, et al. “Deep learning based automatic modulation recognition: Models, datasets, and challenges,” in Digital Signal Processing, vol. 129, 2022.
    （2）人工智能/机器学习(Artificial intelligence/Machine learning)方向
    1.    S. Wei, C. Luo and Y. Luo, “Improving Multimodal Learning via Imbalanced Learning,” in 2025 IEEE/CVF  International Conference on Computer Vision (ICCV), 2025.
    2.    S. Wei, C. Luo and Y. Luo, “Boosting Multimodal Learning via Disentangled Gradient Learning,” in 2025 IEEE/CVF  International Conference on Computer Vision (ICCV), 2025.
    3.    W. Sun, C. Luo, et al., “Medical anatomical landmark detection for contactless patient positioning in X-ray imaging,” in Displays, vol. 90, pp. 103074, Dec. 2025.
    4.    Wei, S., Luo, C. and Luo, Y., 2024. Scaled Decoupled Distillation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition （CVPR） (pp. 15975-15983).
    5.    Z. Liu, Y. Wang, Y. Luo and C. Luo, "Graph-based Few-shot Incremental Learning Algorithm for Unknown Class Detection," in Applied Soft Computing, 2024.
    6.    Z. Liu, C. Luo, J. Xie and Y. Luo, "A Synchronous Training Hypergraph Neural Network for Power Allocation in Multi-Cell Multi-User Networks," in IEEE Wireless Communications Letters, 2024.
    7.    Y. Cao, Y. Luo, H. Yang and C. Luo, "UAV-based Emergency Communications: An Iterative Two-stage Multi-agent Soft Actor-critic Approach for Optimal Association and Dynamic Deployment," in IEEE Internet of Things Journal, 2024.
    8.    S. Wei, C. Luo, Y. Luo and J. Xu, "Privileged Modality Learning via Multimodal Hallucination," in IEEE Transactions on Multimedia, vol. 26, pp. 1516-1527, 2024.
    9.    S. Wei, Y. Luo and C. Luo, "Diversity-Guided Distillation With Modality-Center Regularization for Robust Multimodal Remote Sensing Image Classification," in IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-14, Dec. 2023.
    10.    Z. Liu, Y. Luo, X. Pu, G. Min and C. Luo, "A Multi-Modal Hypergraph Neural Network via Parametric Filtering and Feature Sampling," in IEEE Transactions on Big Data, vol. 9, no. 5, pp. 1365-1379, Oct. 2023.
    11.    W. Sun, D. Wu, Y. Luo, L. Liu, H. Zhang, S. Wu, Y. Zhang, C. Wang, H. Zheng, J. Shen, C. Luo, "ExpertNet: Defeat noisy labels by deep expert consultation paradigm for pneumoconiosis staging on chest radiographs," in Expert Systems with Applications, vol. 232, July 2023.
    12.    S. Wei, Y. Luo, X. Ma, P. Ren and C. Luo, "MSH-Net: Modality-Shared Hallucination With Joint Adaptation Distillation for Remote Sensing Image Classification Using Missing Modalities," in IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-15, Apr. 2023.
    13.    J. Yang, Y. Ou, Z. Chen, J. Liao, W. Sun, Y. Luo, C. Luo, "A Benchmark Dataset of Endoscopic Images and Novel Deep Learning Method to Detect Intestinal Metaplasia and Gastritis Atrophy," in IEEE Journal of Biomedical and Health Informatics, vol. 27, no. 1, pp. 7-16, Jan. 2023.
    14.    S. Wei, C. Luo and Y. Luo, "MMANet: Margin-Aware Distillation and Modality-Aware Regularization for Incomplete Multimodal Learning," 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, BC, Canada, pp. 20039-20049, 2023.
    15.    J. Wu, C. Luo, Y. Luo and K. Li, "Distributed UAV Swarm Formation and Collision Avoidance Strategies Over Fixed and Switching Topologies," in IEEE Transactions on Cybernetics, vol. 52, no. 10, pp. 10969-10979, Oct. 2022.
    16.    W. Sun, D. Wu, Y. Luo, L. Liu, H. Zhang, S. Wu, Y. Zhang, C. Wang, H. Zheng, J. Shen, C. Luo,  "A Fully Deep Learning Paradigm for Pneumoconiosis Staging on Chest Radiographs," in IEEE Journal of Biomedical and Health Informatics, vol. 26, no. 10, pp. 5154-5164, Oct. 2022.
    17.    Y. Wang, Z. Liu, Y. Luo, C. Luo, “A transductive learning method to leverage graph structure for few-shot learning,” in Pattern Recognition Letters, vol 159, pp. 189-195, 2022.
    已毕业研究生:共24人。去向包括：中央某部委、中航工业611所、新葡的京集团35222vip、中国石油、华为、字节、腾讯、阿里云、网易、得物、邮储银行、英特尔各1人；百度、新葡的京集团35222vip长三角研究院（科研岗）各2人；中兴（含蓝剑计划2人）4人；出国（境）深造4人（UCL、港理工等）

  • 教学与教学研究

    主讲课程
    本科生课程：计算机通信网、新生项目课程
    研究生课程：
    博士生课程：
    教研课题和项目、成果：

  • 招生专业

    招生方向（硕士和博士）
    03自适应及阵列信号处理
    05数字图像及音视频处理
    07通信信号处理

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