![]()
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：
-
[11]Z. Zhang, Y. Zhu, Y. Zheng, Y. Luo, H. Shao, S. Guo, L. Dong, L. Zhang, and L. Li, "Exploring the Cognitive Neural Basis of Factuality in Abstractive Text Summarization Models: Interpretable Insights from EEG Signals," in Applied Sciences, vol. 14, no. 2, p. 875, 2024.
-
[12]Y. Pan, K. Luo, Y. Liu, C. Xu, Y. Liu, and L. Zhang, "Mobile edge assisted multi-view light field video system: Prototype design and empirical evaluation," in Future Generation Computer Systems, vol. 153, pp. 154-168, 2024.
-
[13]X. Jiang, J. Zhang, W. Mu, K. Wang, L. Li, and L. Zhang, "TRCCBP: Transformer Network for Radar-Based Contactless Continuous Blood Pressure Monitoring," in Sensors, vol. 23, no. 24, p. 9680, 2023.
-
[14]Y. Liu, Y. Pan, K. Luo, Y. Liu, and L. Zhang, "FEAMNet: Light Field Depth Estimation Network Based On Feature Extraction and Attention Mechanism," 2023 International Joint Conference on Neural Networks (IJCNN), Gold Coast, Australia, 2023, pp. 1-8, doi: 10.1109/IJCNN54540.2023.10191959.
-
[15]Y. Pan, Y. Liu, and L. Zhang, "LiTrix: A Lightweight Live Light Field Video Scheme for Metaverse Stereoscopic Applications," in IEEE Internet of Things Magazine, vol. 6, no. 2, pp. 137-142, June 2023, doi: 10.1109/IOTM.001.2200188.
-
[16]X. Jiang, J. Zhang, and L. Zhang, "FedRadar: Federated Multi-Task Transfer Learning for Radar-Based Internet of Medical Things," in IEEE Transactions on Network and Service Management, vol. 20, no. 2, pp. 1459-1469, June 2023, doi: 10.1109/TNSM.2023.3281133.
-
[17]X. Jiang, L. Zhang, and L. Li, "Multi-Task Learning Radar Transformer (MLRT): A Personal Identification and Fall Detection Network Based on IR-UWB Radar," in Sensors, vol. 23, no. 12, p. 5632, 2023.
-
[18]Z. Yuan, Z. Wang, X. Li, L. Li, and L. Zhang, "Hierarchical trajectory planning for narrow-space automated parking with deep reinforcement learning: A federated learning scheme," in Sensors, vol. 23, no. 8, April 2023, doi: 10.3390/s23084087.
-
[19]X. Li, Y. Yang, Q. Wang, Z. Yuan, C. Xu, L. Li, and L. Zhang, "A distributed multi-vehicle pursuit scheme: generative multi-adversarial reinforcement learning," in Intelligence & Robotics, vol. 3, no. 3, pp. 436-52, 2023, doi: 10.20517/ir.2023.25.
-
[20]B. Zhang, H. Li, X. Liang, X. Gu, and L. Zhang, "Model Transmission-Based Online Updating Approach for Massive MIMO CSI Feedback," in IEEE Communications Letters, vol. 27, no. 6, pp. 1609-1613, June 2023, doi: 10.1109/LCOMM.2023.3265680.
