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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.