| Parameterized knowledge transfer for personalized federated learning J Zhang, S Guo, X Ma, H Wang, W Xu, F Wu Advances in Neural Information Processing Systems 34, 10092-10104, 2021 | 216 | 2021 |
| Pmr: Prototypical modal rebalance for multimodal learning Y Fan, W Xu, H Wang, J Wang, S Guo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 69 | 2023 |
| Dafkd: Domain-aware federated knowledge distillation H Wang, Y Li, W Xu, R Li, Y Zhan, Z Zeng Proceedings of the IEEE/CVF conference on Computer Vision and Pattern …, 2023 | 59 | 2023 |
| Edge learning: The enabling technology for distributed big data analytics in the edge J Zhang, Z Qu, C Chen, H Wang, Y Zhan, B Ye, S Guo ACM Computing Surveys (CSUR) 54 (7), 1-36, 2021 | 53 | 2021 |
| Partial synchronization to accelerate federated learning over relay-assisted edge networks Z Qu, S Guo, H Wang, B Ye, Y Wang, AY Zomaya, B Tang IEEE Transactions on Mobile Computing 21 (12), 4502-4516, 2021 | 47 | 2021 |
| A comprehensive survey on training acceleration for large machine learning models in IoT H Wang, Z Qu, Q Zhou, H Zhang, B Luo, W Xu, S Guo, R Li IEEE Internet of Things Journal 9 (2), 939-963, 2021 | 41 | 2021 |
| Fedtune: A deep dive into efficient federated fine-tuning with pre-trained transformers J Chen, W Xu, S Guo, J Wang, J Zhang, H Wang arXiv preprint arXiv:2211.08025, 2022 | 35 | 2022 |
| Adaptive vertical federated learning on unbalanced features J Zhang, S Guo, Z Qu, D Zeng, H Wang, Q Liu, AY Zomaya IEEE Transactions on Parallel and Distributed Systems 33 (12), 4006-4018, 2022 | 35 | 2022 |
| Stock price prediction using time convolution long short-term memory network X Zhan, Y Li, R Li, X Gu, O Habimana, H Wang Knowledge Science, Engineering and Management: 11th International Conference …, 2018 | 34 | 2018 |
| Heterogeneity-aware gradient coding for straggler tolerance H Wang, S Guo, B Tang, R Li, C Li 2019 IEEE 39th International Conference on Distributed Computing Systems …, 2019 | 31 | 2019 |
| OSP: Overlapping computation and communication in parameter server for fast machine learning H Wang, S Guo, R Li Proceedings of the 48th International Conference on Parallel Processing, 1-10, 2019 | 29 | 2019 |
| Dcspell: A detector-corrector framework for chinese spelling error correction J Li, G Wu, D Yin, H Wang, Y Wang Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 27 | 2021 |
| Error-compensated sparsification for communication-efficient decentralized training in edge environment H Wang, S Guo, Z Qu, R Li, Z Liu IEEE Transactions on Parallel and Distributed Systems 33 (1), 14-25, 2021 | 27 | 2021 |
| Few-shot temporal sentence grounding via memory-guided semantic learning D Liu, P Zhou, Z Xu, H Wang, R Li IEEE Transactions on Circuits and Systems for Video Technology 33 (5), 2491-2505, 2022 | 23 | 2022 |
| Intermittent pulling with local compensation for communication-efficient distributed learning H Wang, Z Qu, S Guo, X Gao, R Li, B Ye IEEE Transactions on Emerging Topics in Computing 10 (2), 779-791, 2020 | 23 | 2020 |
| Fedcda: Federated learning with cross-rounds divergence-aware aggregation H Wang, H Xu, Y Li, Y Xu, R Li, T Zhang The Twelfth International Conference on Learning Representations, 2023 | 22 | 2023 |
| Fr: Folded rationalization with a unified encoder W Liu, H Wang, J Wang, R Li, C Yue, YK Zhang Advances in Neural Information Processing Systems 35, 6954-6966, 2022 | 21 | 2022 |
| Gradient scheduling with global momentum for non-iid data distributed asynchronous training C Li, R Li, H Wang, Y Li, P Zhou, S Guo, K Li arXiv preprint arXiv:1902.07848, 2019 | 21 | 2019 |
| LOSP: Overlap synchronization parallel with local compensation for fast distributed training H Wang, Z Qu, S Guo, N Wang, R Li, W Zhuang IEEE Journal on Selected Areas in Communications 39 (8), 2541-2557, 2021 | 17 | 2021 |
| Aligning language models with human preferences via a bayesian approach J Wang, H Wang, S Sun, W Li Advances in Neural Information Processing Systems 36, 49113-49132, 2023 | 16 | 2023 |
