![]()
张琳
- 电子邮箱：bb40e127be715b44313c20a11e3349b101e7f47e775fdd50897a96fc685bab0ea4edb09eea6d8c8fc7eb79c9842b05689eeb16da8ba58cd175b391c436d86a7b531335d5e8cce7e005697b6f92283fba02f0f50fc0b80e8c46708d677fe4d2383c91b2a2a11cad5b094ceffca14e34325a624c9ef13fa34c49614df1ba860eca
- 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
- 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：
-
[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.
-
[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.
-
[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.
-
[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.
-
[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.
-
[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.
-
[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.
-
[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.
-
[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.
-
[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.
