Zhiyuan Xu
Citado por
Citado por
Spatiotemporal modeling and prediction in cellular networks: A big data enabled deep learning approach
J Wang, J Tang, Z Xu, Y Wang, G Xue, X Zhang, D Yang
IEEE INFOCOM 2017-IEEE Conference on Computer Communications, 1-9, 2017
Experience-driven networking: A deep reinforcement learning based approach
Z Xu, J Tang, J Meng, W Zhang, Y Wang, CH Liu, D Yang
IEEE INFOCOM 2018-IEEE Conference on Computer Communications, 1871-1879, 2018
A deep reinforcement learning based framework for power-efficient resource allocation in cloud RANs
Z Xu, Y Wang, J Tang, J Wang, MC Gursoy
2017 IEEE International Conference on Communications (ICC), 1-6, 2017
A hierarchical framework of cloud resource allocation and power management using deep reinforcement learning
N Liu, Z Li, J Xu, Z Xu, S Lin, Q Qiu, J Tang, Y Wang
2017 IEEE 37th International Conference on Distributed Computing Systems …, 2017
Learning-based energy-efficient data collection by unmanned vehicles in smart cities
B Zhang, CH Liu, J Tang, Z Xu, J Ma, W Wang
IEEE Transactions on Industrial Informatics 14 (4), 1666-1676, 2017
Model-free control for distributed stream data processing using deep reinforcement learning
T Li, Z Xu, J Tang, Y Wang
arXiv preprint arXiv:1803.01016, 2018
Deep reinforcement learning for dynamic treatment regimes on medical registry data
Y Liu, B Logan, N Liu, Z Xu, J Tang, Y Wang
2017 IEEE International Conference on Healthcare Informatics (ICHI), 380-385, 2017
Experience-driven congestion control: When multi-path TCP meets deep reinforcement learning
Z Xu, J Tang, C Yin, Y Wang, G Xue
IEEE Journal on Selected Areas in Communications 37 (6), 1325-1336, 2019
AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates.
N Liu, X Ma, Z Xu, Y Wang, J Tang, J Ye
AAAI, 4876-4883, 2020
Adversarial meta-learning
C Yin, J Tang, Z Xu, Y Wang
arXiv preprint arXiv:1806.03316, 2018
Learning the dynamic treatment regimes from medical registry data through deep q-network
N Liu, Y Liu, B Logan, Z Xu, J Tang, Y Wang
Scientific reports 9 (1), 1-10, 2019
AutoSlim: An automatic DNN structured pruning framework for ultra-high compression rates
N Liu, X Ma, Z Xu, Y Wang, J Tang, J Ye
arXiv preprint arXiv:1907.03141, 2019
Memory augmented deep recurrent neural network for video question answering
C Yin, J Tang, Z Xu, Y Wang
IEEE transactions on neural networks and learning systems, 2019
Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous Control
Z Xu, K Wu, Z Che, J Tang, J Ye
A Deep Recurrent Neural Network Based Predictive Control Framework for Reliable Distributed Stream Data Processing
J Xu, J Tang, Z Xu, C Yin, K Kwiat, C Kamhoua
2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2019
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Artículos 1–15