| Deep adversarial data augmentation for extremely low data regimes X Zhang, Z Wang, D Liu, Q Lin, Q Ling IEEE Transactions on Circuits and Systems for Video Technology 31 (1), 15-28, 2020 | 75 | 2020 |
| Byzantine-robust federated deep deterministic policy gradient Q Lin, Q Ling ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 8 | 2022 |
| TCTN: A 3D-temporal convolutional transformer network for spatiotemporal predictive learning Z Yang, X Yang, Q Lin arXiv preprint arXiv:2112.01085, 2021 | 7 | 2021 |
| Decentralized TD (0) with gradient tracking Q Lin, Q Ling IEEE Signal Processing Letters 28, 723-727, 2021 | 6 | 2021 |
| PTCT: Patches with 3D-Temporal convolutional transformer network for precipitation nowcasting Z Yang, X Yang, Q Lin arXiv preprint arXiv:2112.01085, 2021 | 5 | 2021 |
| Robust Reward-Free Actor–Critic for Cooperative Multiagent Reinforcement Learning Q Lin, Q Ling IEEE Transactions on Neural Networks and Learning Systems, 2023 | | 2023 |
| Decentralized Multi-Agent Policy Evaluation Over Directed Graphs Q Lin, Q Ling 2022 41st Chinese Control Conference (CCC), 4649-4654, 2022 | | 2022 |
| Self-Inference Of Others’ Policies For Homogeneous Agents In Cooperative Multi-Agent Reinforcement Learning Q Lin, Q Ling ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | | 2021 |
