| Pyramid sketch: A sketch framework for frequency estimation of data streams T Yang, Y Zhou, H Jin, S Chen, X Li Proceedings of the VLDB Endowment 10 (11), 1442-1453, 2017 | 105 | 2017 |
| Federated reinforcement learning with environment heterogeneity H Jin, Y Peng, W Yang, S Wang, Z Zhang International Conference on Artificial Intelligence and Statistics, 18-37, 2022 | 46 | 2022 |
| One memory access sketch: a more accurate and faster sketch for per-flow measurement Y Zhou, P Liu, H Jin, T Yang, S Dang, X Li GLOBECOM 2017-2017 IEEE Global Communications Conference, 1-6, 2017 | 18 | 2017 |
| Accurate per-flow measurement with bloom sketch Y Zhou, H Jin, P Liu, H Zhang, T Yang, X Li IEEE INFOCOM 2018-IEEE Conference on Computer Communications Workshops …, 2018 | 8 | 2018 |
| Towards Better Generalization: BP-SVRG in Training Deep Neural Networks H Jin, D Lin, Z Zhang arXiv preprint arXiv:1908.06395, 2019 | 1 | 2019 |
| Meta-Regularization: An Approach to Adaptive Choice of the Learning Rate in Gradient Descent G Xie, H Jin, D Lin, Z Zhang arXiv preprint arXiv:2104.05447, 2021 | | 2021 |
| Hyper-Regularization: An Adaptive Choice for the Learning Rate in Gradient Descent G Xie, H Jin, D Lin, Z Zhang | | 2018 |
Yang ZhouHarvard UniversityVerified email at g.harvard.edu
