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Hao Jin
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Year
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
1062017
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
482022
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
192017
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
82018
Towards Better Generalization: BP-SVRG in Training Deep Neural Networks
H Jin, D Lin, Z Zhang
arXiv preprint arXiv:1908.06395, 2019
12019
Federated Control in Markov Decision Processes
H Jin, Y Peng, L Zhang, Z Zhang
arXiv preprint arXiv:2405.04026, 2024
2024
Federated Reinforcement Learning with Constraint Heterogeneity
H Jin, L Zhang, Z Zhang
arXiv preprint arXiv:2405.03236, 2024
2024
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
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Articles 1–9