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刘思聪
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副教授
硕士生导师
- 所在单位：信息学院
- 学历：博士研究生毕业
- 办公地点：厦门大学信息学院 信息与通信工程系
地址：福建省厦门市翔安区厦门大学翔安校区西部片区3号楼
- 性别：男
- 联系方式：E-mail: liusc(AT)xmu.edu.cn
- 学位：工学博士学位
- 在职信息：在职
- 毕业院校：清华大学
访问量：
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[31]刘思聪,Impulsive Noise Recovery and Elimination: A Sparse Machine Learning Based Approach.IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY,2018,68(3):2306-2315.
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[32]刘思聪,Denoising Deep Sparse Learning Based Channel Estimation for MU-MIMO Systems.13th International Conference on Wireless Communications and Signal Processing, WCSP 2021,
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[33]刘思聪,Sparsity-Aware Channel Estimation for mmWave Massive MIMO: A Deep CNN-Based Approach.CHINA COMMUNICATIONS,2020,18(6):162-171.
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[34]刘思聪,Deep Learning Based Underwater Acoustic Channel Estimation Exploiting Physical Knowledge on Channel Sparsity.UbiComp/ISWC 2021 - Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers,2021,655-659.
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[35]刘思聪.Generative Adversarial Network Enabled Sparse Signal Compression and Recovery for Internet of Medical Things.UbiComp/ISWC 2021 - Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers,2021,678-683.
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[36]刘思聪.Three-Dimensional Indoor Visible Light Localization: A Learning-Based Approach.UbiComp/ISWC 2021 - Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers,2021,672-677.
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[37]刘思聪,Underwater Acoustic Channel Estimation Based on Sparsity-Aware Deep Neural Networks.2021 OES China Ocean Acoustics, COA 2021,2021,544-549.
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[38]肖亮,刘思聪.UAV Anti-Jamming Video Transmissions With QoE Guarantee: A Reinforcement Learning-Based Approach.IEEE Transactions on Communications,69(9):5933-5947.
