张琳
- 电子邮箱：zhanglin@bupt.edu.cn
- 所在单位：人工智能学院
- 职务：北京市大数据中心主任
- 学历：研究生毕业
- 办公地点：主楼1013室
- 性别：男
- 学位：博士学位
- 职称：教授
- 在职信息：在职
- 博士生导师
- 硕士生导师
- 所属院系：人工智能学院
访问量：
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[1]
Z. Wang, X. Li, T. Wu, C. Xu, and L. Zhang, "A credibility-aware swarm-federated deep learning framework in internet of vehicles," in Digital Communications and Networks, 2023, doi: 10.1016/j.dcan.2022.12.018.
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[2]
X. Liang, H. Chang, H. Li, X. Gu, and L. Zhang, "Changeable Rate and Novel Quantization for CSI Feedback Based on Deep Learning," in IEEE Transactions on Wireless Communications, vol. 21, no. 12, pp. 10100-10114, Dec. 2022, doi: 10.1109/TWC.2022.3182216.
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[3]
B. Zou, Y. Zheng, M. Shen, Y. Luo, L. Li, and L. Zhang, "BEATS: An Open-Source, High-Precision, Multi-Channel EEG Acquisition Tool System," in IEEE Transactions on Biomedical Circuits and Systems, doi: 10.1109/TBCAS.2022.3230500.
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[4]
X. Li, N. Yang, Z. Li, Y. Huang, Z. Yuan, X. Song, L. Li, and L. Zhang, "Confidence Estimation Transformer for Long-term Renewable Energy Forecasting in Reinforcement Learning-based Power Grid Dispatching," in CSEE Journal of Power and Energy Systems, doi: 10.17775/CSEEJPES.2022.02050.
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[5]
J. Shen, X. Liang, X. Gu, and L. Zhang, "Clustering Algorithm-Based Quantization Method for Massive MIMO CSI Feedback," in IEEE Wireless Communications Letters, vol. 11, no. 10, pp. 2155-2159, Oct. 2022, doi: 10.1109/LWC.2022.3195883.
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[6]
B. Zhang, H. Li, X. Liang, X. Gu, and L. Zhang, "Multi-task Training Approach for CSI Feedback in Massive MIMO Systems," in IEEE Communications Letters, 2022, doi: 10.1109/LCOMM.2022.3217059.
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[7]
Y. Zheng, Y. Luo, B. Zou, L. Zhang, and L. Li, "MMASleepNet: A multimodal attention network based on electrophysiological signals for automatic sleep staging," in Frontiers in Neuroscience, p. 1337, 2022.
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[8]
Y. Yuan, L. Jiao, K. Zhu, and L. Zhang, "Incentivizing Federated Learning Under Long-Term Energy Constraint via Online Randomized Auctions," in IEEE Transactions on Wireless Communications, vol. 21, no. 7, pp. 5129-5144, July 2022, doi: 10.1109/TWC.2021.3137024.
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[9]
X. Liang, J. Shen, H. Chang, X. Gu, and L. Zhang, "Deep Learning-Based Cooperative CSI Feedback via Multiple Receiving Antennas in Massive MIMO," ICC 2022 - IEEE International Conference on Communications, 2022, pp. 1373-1378, doi: 10.1109/ICC45855.2022.9839111.
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[10]
X. Yang, Y. Ding, X. Zhang, and L. Zhang, "Spatial-Temporal-Circulated GLCM and Physiological Features for In-Vehicle People Sensing Based on IR-UWB Radar," in IEEE Transactions on Instrumentation and Measurement, vol. 71, pp. 1-13, 2022, Art no. 8502113, doi: 10.1109/TIM.2022.3165808.
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[11]
Z. Yuan, T. WU, Q. Wang, Y. Yang, L. Li, and L. Zhang, "T3OMVP: A Transformer-Based Time and Team Reinforcement Learning Scheme for Observation-Constrained Multi-Vehicle Pursuit in Urban Area," in Electronics, vol. 11, no. 9, p. 1339, Apr. 2022, doi: 10.3390/electronics11091339.
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[12]
M. Jiang, T. Wu, Z. Wang, Y. Gong, L. Zhang, and R. P. Liu, "A Multi-Intersection Vehicular Cooperative Control Based on End-Edge-Cloud Computing," in IEEE Transactions on Vehicular Technology, vol. 71, no. 3, pp. 2459-2471, March 2022, doi: 10.1109/TVT.2022.3143828.
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[13]
X. Hu and L. Zhang, "Angular-spatial Analysis of Factors Affecting the Performance of Light Field Reconstruction," in IET Image Processing, vol. 16, no. 4, pp. 1027–1035.
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[14]
B. Zhang, H. Li, X. Liang, X. Gu, and L. Zhang, "Fully Connected Layer-Shared Network Architecture for Massive MIMO CSI Feedback," in Electronics Letters, vol. 58, no. 6, pp. 255–257, 2022.
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[15]
L. Wei, J. Shuai, Y. Liu, Y. Wang, and L. Zhang, "Service Customized Space-Air-Ground Integrated Network for Immersive Media: Architecture, Key Technologies, and Prospects," in CHINA COMMUNICATIONS, vol. 19, no. 1, pp. 1–13, JAN 2022.
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[16]
X. Hu, C. Wang, Y. Pan, Y. Liu, Y. Wang, Y. Liu, L. Zhang, and S. Shirmohammadi, "4DLFVD: A 4D Light Field Video Dataset," in Proceedings of the 12th ACM Multimedia Systems Conference, 2021, pp. 287-292.
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[17]
T. Wu, M. Jiang, Y. Han, Z. Yuan, X. Li, and L. Zhang, "A Traffic-Aware Federated Imitation Learning Framework for Motion Control at Unsignalized Intersections with Internet of Vehicles," in Electronics, vol. 10, no. 24, p. 3050, Dec. 2021, doi: 10.3390/electronics10243050.
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[18]
X. Hu, Y. Pan, Y. Wang, L. Zhang, and S. Shirmohammadi, "Multiple Description Coding for Best-Effort Delivery of Light Field Video using GNN-based Compression," in IEEE Transactions on Multimedia, doi: 10.1109/TMM.2021.3129918.
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[19]
H. Chang, X. Liang, H. Li, J. Shen, X. Gu, and L. Zhang, "Deep Learning-Based Bitstream Error Correction for CSI Feedback," in IEEE Wireless Communications Letters, vol. 10, no. 12, pp. 2828-2832, Dec. 2021, doi: 10.1109/LWC.2021.3118923.
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[20]
M. Shen, B. Zou, X. Li, Y. Zheng, L. Li, and L. Zhang, "Multi-source Signal Alignment and Efficient Multi-dimensional Feature Classification in the Application of EEG-based Subject-independent Drowsiness Detection," Biomedical Signal Processing and Control, vol. 70, p. 103023, Sep. 2021.
