信息与通信工程学院
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| 导师代码： |
12304
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| 导师姓名： |
骆春波
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| 性 别： |
男 |
| 特 称： |
国家级特聘青年专家
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| 职 称： |
教授
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| 学 位： |
哲学博士学位
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| 属 性： |
专职 |
| 电子邮件： |
c.luo@uestc.edu.cn
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| 学术经历：
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2008/04–2011/07，英国雷丁大学，博士；
2005/09–2007/12，电子科技大学，电子工程学院，硕士；
2001/09–2005/07，电子科技大学，电子工程学院，学士.
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| 个人简介：
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电子科技大学信息与通信工程学院教授、博导，国家级特聘青年专家。作为项目负责人主持了国家自然科学基金、欧盟地平线计划、皇家学会等资助的项目。近五年来在IEEE相关领域的期刊和会议例如IEEE Transactions/ICC等发表论文60余篇，并在国际学术会议与国际论坛等做主题报告，先后担任国际会议如IEEE ICC、Globecom、VTC等国际会议组委会主席、分会主席或技术委员会成员等。
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| 科研项目：
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1、人工智能与机器学习：研究高性能人工智能算法，解决图像、传感器方面的实际问题。
2、智能信号处理技术和通信系统：研究高效、智能的通信信号处理技术，解决下一代通信系统的理论和实际问题。
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| 研究成果：
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近三年代表性（一/二区或顶会论文等）论文如下：
人工智能/机器学习(Artificial intelligence/Machine learning)
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
J. Xu, C. Luo, et al. "Remote sensing change detection based on multidirectional adaptive feature fusion and perceptual similarity," in Remote Sensing, vol 13, no. 15, 2021.
波束成形技术相关研究 (Beamforming)
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.
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.
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.
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.
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).
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.
Ding Q, Yang J, Luo Y, Luo C. Towards the THz Networks in the 6G Era. arXiv preprint arXiv:2403.08680. 2024 Mar 13.
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信号及调制模式识别技术相关研究 （Automatic modulation recognition/classification）
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.
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.
J. Xu, Y. Luo, X. Chen, C. Luo, "An adaptive multi-scale and multi-level features fusion network with perceptual loss for change detection," in IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 2275-2279, 2021.
F. Zhang, C. Luo, J. Xu and Y. Luo, "An Efficient Deep Learning Model for Automatic Modulation Recognition Based on Parameter Estimation and Transformation," in IEEE Communications Letters, vol. 25, no. 10, pp. 3287-3290, Oct. 2021.
S. Yang, Y. Luo, W. Miao, C. Luo, "RF Signal-Based UAV Detection and Mode Classification: A Joint Feature Engineering Generator and Multi-Channel Deep Neural Network Approach," in Entropy, vol 23, no. 12, 2021.
J. Xu, C. Luo, G. Parr and Y. Luo, "A Spatiotemporal Multi-Channel Learning Framework for Automatic Modulation Recognition," in IEEE Wireless Communications Letters, vol. 9, no. 10, pp. 1629-1632, Oct. 2020.
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| 专业研究方向：
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| 专业名称 |
研究领域/方向 |
招生类别 |
| 081000信息与通信工程 |
01无线与移动通信系统，06图像与视频处理，09机器学习与人工智能 |
博士学术学位 |
| 085400电子信息 |
01不区分研究方向，02不区分研究方向（非全） |
博士专业学位 |
| 081000信息与通信工程 |
01无线与移动通信系统，06图像与视频处理，09机器学习与人工智能 |
硕士学术学位 |
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