| Deep learning for spectrum prediction from spatial–temporal–spectral data X Li, Z Liu, G Chen, Y Xu, T Song IEEE Communications Letters 25 (4), 1216-1220, 2020 | 15 | 2020 |
| A hybrid cooperative spectrum sensing scheme based on spatial-temporal correlation for CR-VANET X Li, T Song, Y Zhang, G Chen, J Hu 2018 IEEE 87th Vehicular Technology Conference (VTC Spring), 1-6, 2018 | 10 | 2018 |
| Hybrid cooperative spectrum sensing scheme based on spatial–temporal correlation in cognitive radio enabled vanet X Li, T Song, Y Zhang, G Chen, J Hu IET Communications 13 (1), 36-44, 2019 | 5 | 2019 |
| Recovering missing values from corrupted historical observations: Approaching the limit of predictability in spectrum prediction tasks X Li, G Chen, Y Xu, X Wang, T Song IEEE Access 8, 180379-180393, 2020 | 4 | 2020 |
| Rate distortion optimization for adaptive gradient quantization in federated learning G Chen, K Xie, W Luo, Y Xu, L Xin, T Song, J Hu Digital Communications and Networks, 2024 | 3 | 2024 |
| Constrained communication over the Gaussian dirty paper channel Y Xu, J Lu, G Chen 2019 IEEE International Symposium on Information Theory (ISIT), 285-289, 2019 | 2 | 2019 |
| NQFL: Nonuniform Quantization for Communication Efficient Federated Learning G Chen, K Xie, Y Tu, T Song, Y Xu, J Hu, L Xin IEEE Communications Letters, 2023 | 1 | 2023 |
| A New Proof of the Extremal Inequality Y Xu, G Chen, S Jin 2022 IEEE International Symposium on Information Theory (ISIT), 946-950, 2022 | 1 | 2022 |
| New Proofs of Gaussian Extremal Inequalities With Applications Y Xu, G Chen, J Chen, S Jin IEEE Transactions on Information Theory, 2024 | | 2024 |
| An Extremal Inequality With Application to Gray-Wyner System G Chen, Y Xu, T Song, J Hu 2022 IEEE Information Theory Workshop (ITW), 273-278, 2022 | | 2022 |
| 认知无线网络中基于加权选择融合的协作频谱预测策略 (英文) 李茜， 宋铁成， 章跃跃， 陈国骏， 胡静 东南大学学报: 英文版 34 (3), 281-287, 2018 | | 2018 |
