| Communication-efficient federated learning with compensated overlap-fedavg Y Zhou, Q Ye, J Lv IEEE Transactions on Parallel and Distributed Systems 33 (1), 192-205, 2021 | 118 | 2021 |
| MRC-LSTM: a hybrid approach of multi-scale residual CNN and LSTM to predict bitcoin price Q Guo, S Lei, Q Ye, Z Fang 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 27 | 2021 |
| A distributed framework for EA-based NAS Q Ye, Y Sun, J Zhang, J Lv IEEE Transactions on Parallel and Distributed Systems 32 (7), 1753-1764, 2020 | 18 | 2020 |
| Heart-darts: Classification of heartbeats using differentiable architecture search J Lv, Q Ye, Y Sun, J Zhao, J Lv 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 13 | 2021 |
| DBS: Dynamic batch size for distributed deep neural network training Q Ye, Y Zhou, M Shi, Y Sun, J Lv arXiv preprint arXiv:2007.11831, 2020 | 12 | 2020 |
| Lana: Towards personalized deep knowledge tracing through distinguishable interactive sequences Y Zhou, X Li, Y Cao, X Zhao, Q Ye, J Lv arXiv preprint arXiv:2105.06266, 2021 | 11 | 2021 |
| PSO-PS: Parameter synchronization with particle swarm optimization for distributed training of deep neural networks Q Ye, Y Han, Y Sun, J Lv 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 7 | 2020 |
| FLSGD: free local SGD with parallel synchronization Q Ye, Y Zhou, M Shi, J Lv The Journal of Supercomputing 78 (10), 12410-12433, 2022 | 5 | 2022 |
| PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning. M Shi, Y Zhou, K Wang, H Zhang, S Huang, Q Ye, J Lv Advances in Neural Information Processing Systems 36, 2024 | 4 | 2024 |
| Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence Y Zhou, M Shi, Y Li, Y Sun, Q Ye, J Lv Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 3 | 2023 |
| DLB: a dynamic load balance strategy for distributed training of deep neural networks Q Ye, Y Zhou, M Shi, Y Sun, J Lv IEEE Transactions on Emerging Topics in Computational Intelligence, 2022 | 3 | 2022 |
| LR-SGD: Layer-based random SGD for distributed deep learning Z Zhang, Y Hu, Q Ye Proceedings of the 8th International Conference on Computing and Artificial …, 2022 | 3 | 2022 |
| HPSGD: Hierarchical Parallel SGD with Stale Gradients Featuring Y Zhou, Q Ye, H Zhang, J Lv International Conference on Neural Information Processing, 440-451, 2020 | 2 | 2020 |
| DeFTA: A Plug-and-Play Decentralized Replacement for FedAvg Y Zhou, M Shi, Y Tian, Q Ye, J Lv arXiv preprint arXiv:2204.02632, 2022 | 1 | 2022 |
| Sparse DARTS with various recovery algorithms Y Hu, Q Ye, H Fu, J Lv Proceedings of the 8th International Conference on Computing and Artificial …, 2022 | 1 | 2022 |
| Federated CINN Clustering for Accurate Clustered Federated Learning Y Zhou, M Shi, Y Tian, Y Li, Q Ye, J Lv ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
| DeFTA: A Plug-and-Play Peer-to-Peer Decentralized Federated Learning Framework Y Zhou, M Shi, Y Tian, Q Ye, J Lv Information Sciences, 120582, 2024 | | 2024 |
| Violence-MFAS: Audio-Visual Violence Detection Using Multimodal Fusion Architecture Search D Si, Q Ye, J Lv, Y Zhou, J Lv International Conference on Neural Information Processing, 205-216, 2023 | | 2023 |
| Unconstrained Feature Model and Its General Geometric Patterns in Federated Learning: Local Subspace Minority Collapse M Shi, Y Zhou, Q Ye, J Lv International Conference on Neural Information Processing, 449-464, 2023 | | 2023 |
| A Layer-Based Sparsification Method For Distributed DNN Training Y Hu, Q Ye, Z Zhang, J Lv 2022 IEEE 24th Int Conf on High Performance Computing & Communications; 8th …, 2022 | | 2022 |
