Overcoming catastrophic forgetting in incremental few-shot learning by finding flat minima G Shen, J Chen, W Zhang, LM Zhan, XM Wu Advances in neural information processing systems 34, 6747-6761, 2021 | 136 | 2021 |
A closer look at blind super-resolution: Degradation models, baselines, and performance upper bounds G Shen, Y Liu, C Dong, XM Wu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 24 | 2022 |
Variance-reduced heterogeneous federated learning via stratified client selection G Shen, D Gao, L Yang, F Zhou, D Song, W Lou, S Pan arXiv preprint arXiv:2201.05762, 2022 | 11 | 2022 |
Real-world image super-resolution as multi-task learning W Zhang, X Li, G Shen, X Chen, Y Qiao, X Zhang, XM Wu, C Dong Advances in Neural Information Processing Systems 36, 2024 | 10 | 2024 |
Fast Heterogeneous Federated Learning with Hybrid Client Selection G Shen, D Gao, DX Song, X Zhou, S Pan, W Lou, F Zhou The Conference on Uncertainty in Artificial Intelligence (UAI), 2023 | 10 | 2023 |
Cross-channel Budget Coordination for Online Advertising System G Shen, S Sun, D Gao, S Li, L Yang, Y Shi, W Ning arXiv preprint arXiv:2305.06883, 2023 | 3 | 2023 |
FedSTS: A Stratified Client Selection Framework for Consistently Fast Federated Learning D Gao, D Song, G Shen, X Cai, L Yang, G Liu, X Li, Z Wang IEEE Transactions on Neural Networks and Learning Systems, 2024 | | 2024 |
EdgeNet: Encoder-decoder generative Network for Auction Design in E-commerce Online Advertising G Shen, S Sun, D Gao, L Yang, Y Shi, W Ning The Conference on Information and Knowledge Management (CIKM), 2023 | | 2023 |