| Coordinating Multiple Intelligent Reflecting Surfaces without Channel Information F Xu, J Yao, W Lai, K Shen, X Li, X Chen, ZQ Luo arXiv preprint arXiv:2302.09717, 2023 | | 2023 |
| Towards Efficient Large-Scale Network Slicing: An LP Dynamic Rounding-and-Refinement Approach WK Chen, YF Liu, F Liu, YH Dai, ZQ Luo IEEE Transactions on Signal Processing, 2023 | | 2023 |
| Theoretical Analysis of Offline Imitation With Supplementary Dataset Z Li, T Xu, Y Yu, ZQ Luo arXiv preprint arXiv:2301.11687, 2023 | | 2023 |
| Real-World Wireless Network Modeling and Optimization: From Model/Data-Driven Perspective Y LI, S ZHANG, X REN, J ZHU, J HUANG, P HE, K SHEN, Z YAO, J GONG, ... Chinese Journal of Electronics 33, 1-22, 2023 | | 2023 |
| A penalized inequality-constrained approach for robust beamforming with DoF limitation W Pu, J Xiao, T Zhang, ZQ Luo Signal Processing 202, 108746, 2023 | | 2023 |
| Adversarial rademacher complexity of deep neural networks J Xiao, Y Fan, R Sun, ZQ Luo arXiv preprint arXiv:2211.14966, 2022 | 2 | 2022 |
| Improved Rip-based bounds for guaranteed performance of two compressed sensing algorithms Y Zhao, Z Luo Science China Mathematics, 1-18, 2022 | 5 | 2022 |
| Configuring intelligent reflecting surface with performance guarantees: Blind beamforming S Ren, K Shen, Y Zhang, X Li, X Chen, ZQ Luo IEEE Transactions on Wireless Communications, 2022 | 5 | 2022 |
| Bridging Distributional and Risk-sensitive Reinforcement Learning with Provable Regret Bounds H Liang, ZQ Luo arXiv preprint arXiv:2210.14051, 2022 | 2 | 2022 |
| Stability analysis and generalization bounds of adversarial training J Xiao, Y Fan, R Sun, J Wang, ZQ Luo arXiv preprint arXiv:2210.00960, 2022 | 2 | 2022 |
| Understanding Adversarial Robustness Against On-manifold Adversarial Examples J Xiao, L Yang, Y Fan, J Wang, ZQ Luo arXiv preprint arXiv:2210.00430, 2022 | 2 | 2022 |
| Adaptive Smoothness-weighted Adversarial Training for Multiple Perturbations with Its Stability Analysis J Xiao, Z Qin, Y Fan, B Wu, J Wang, ZQ Luo arXiv preprint arXiv:2210.00557, 2022 | 1 | 2022 |
| Training much deeper spiking neural networks with a small number of time-steps Q Meng, S Yan, M Xiao, Y Wang, Z Lin, ZQ Luo Neural Networks 153, 254-268, 2022 | 5 | 2022 |
| Adam can converge without any modification on update rules Y Zhang, C Chen, N Shi, R Sun, ZQ Luo arXiv preprint arXiv:2208.09632, 2022 | 2 | 2022 |
| Understanding Adversarial Imitation Learning in Small Sample Regime: A Stage-coupled Analysis T Xu, Z Li, Y Yu, ZQ Luo arXiv preprint arXiv:2208.01899, 2022 | | 2022 |
| Natural Thresholding Algorithms for Signal Recovery With Sparsity YB Zhao, ZQ Luo IEEE Open Journal of Signal Processing 3, 417-431, 2022 | | 2022 |
| On the Iteration Complexity of Smoothed Proximal ALM for Nonconvex Optimization Problem with Convex Constraints J Zhang, W Pu, ZQ Luo arXiv preprint arXiv:2207.06304, 2022 | 1 | 2022 |
| Decentralized Non-Convex Learning With Linearly Coupled Constraints: Algorithm Designs and Application to Vertical Learning Problem J Zhang, S Ge, TH Chang, ZQ Luo IEEE Transactions on Signal Processing 70, 3312-3327, 2022 | | 2022 |
| Resource reservation in backhaul and radio access network with uncertain user demands N Reyhanian, H Farmanbar, ZQ Luo IEEE Transactions on Vehicular Technology 71 (10), 10878-10893, 2022 | 7 | 2022 |
| Robust Adaptive Beamforming via Worst-Case SINR Maximization with Nonconvex Uncertainty Sets Y Huang, H Fu, SA Vorobyov, ZQ Luo arXiv preprint arXiv:2206.06001, 2022 | | 2022 |
