受强制性开放获取政策约束的文章 - Rui Han了解详情
无法在其他位置公开访问的文章：20 篇
Delay-sensitive energy-efficient UAV crowdsensing by deep reinforcement learning
Z Dai, CH Liu, R Han, G Wang, KK Leung, J Tang
IEEE Transactions on Mobile Computing 22 (4), 2038-2052, 2021
强制性开放获取政策： 国家自然科学基金委员会
Mobile crowdsensing for data freshness: A deep reinforcement learning approach
Z Dai, H Wang, CH Liu, R Han, J Tang, G Wang
IEEE INFOCOM 2021-IEEE Conference on Computer Communications, 1-10, 2021
强制性开放获取政策： 国家自然科学基金委员会
Accelerating gossip-based deep learning in heterogeneous edge computing platforms
R Han, S Li, X Wang, CH Liu, G Xin, LY Chen
IEEE Transactions on Parallel and Distributed Systems 32 (7), 1591-1602, 2020
强制性开放获取政策： Swiss National Science Foundation, 国家自然科学基金委员会
SaaS enabled admission control for MCMC simulation in cloud computing infrastructures
JL Vázquez-Poletti, R Moreno-Vozmediano, R Han, W Wang, IM Llorente
Computer Physics Communications 211, 88-97, 2017
强制性开放获取政策： 国家自然科学基金委员会, Government of Spain
Accurate differentially private deep learning on the edge
R Han, D Li, J Ouyang, CH Liu, G Wang, D Wu, LY Chen
IEEE Transactions on Parallel and Distributed Systems 32 (9), 2231-2247, 2021
强制性开放获取政策： 国家自然科学基金委员会
Accelerating deep learning systems via critical set identification and model compression
R Han, CH Liu, S Li, S Wen, X Liu
IEEE Transactions on Computers 69 (7), 1059-1070, 2020
强制性开放获取政策： 国家自然科学基金委员会
SlimML: Removing non-critical input data in large-scale iterative machine learning
R Han, CH Liu, S Li, LY Chen, G Wang, J Tang, J Ye
IEEE Transactions on Knowledge and Data Engineering 33 (5), 2223-2236, 2019
强制性开放获取政策： Swiss National Science Foundation, 国家自然科学基金委员会
Human-drone collaborative spatial crowdsourcing by memory-augmented and distributed multi-agent deep reinforcement learning
Y Wang, CH Liu, C Piao, Y Yuan, R Han, G Wang, J Tang
2022 IEEE 38th International Conference on Data Engineering (ICDE), 459-471, 2022
强制性开放获取政策： 国家自然科学基金委员会
Lightweight and accurate DNN-based anomaly detection at edge
Q Zhang, R Han, G Xin, CH Liu, G Wang, LY Chen
IEEE Transactions on Parallel and Distributed Systems 33 (11), 2927-2942, 2021
强制性开放获取政策： Swiss National Science Foundation, 国家自然科学基金委员会
Cloudmix: Generating diverse and reducible workloads for cloud systems
R Han, Z Zong, F Zhang, JL Vazquez-Poletti, Z Jia, L Wang
2017 IEEE 10th International Conference on Cloud Computing (CLOUD), 496-503, 2017
强制性开放获取政策： 国家自然科学基金委员会, Government of Spain
Adaptiveconfig: Run-time configuration of cluster schedulers for cloud short-running jobs
R Han, Z Zong, LY Chen, S Wang, J Zhan
2018 IEEE 38th International Conference on Distributed Computing Systems …, 2018
强制性开放获取政策： Swiss National Science Foundation, 国家自然科学基金委员会
Clap: Component-level approximate processing for low tail latency and high result accuracy in cloud online services
R Han, S Huang, Z Wang, J Zhan
IEEE Transactions on Parallel and Distributed Systems 28 (8), 2190-2203, 2017
强制性开放获取政策： 国家自然科学基金委员会
EdgeVisionBench: A benchmark of evolving input domains for vision applications at edge
Q Zhang, R Han, CH Liu, G Wang, LY Chen
2023 IEEE 39th International Conference on Data Engineering (ICDE), 3643-3646, 2023
强制性开放获取政策： 国家自然科学基金委员会
An empirical analysis of vision transformer and cnn in resource-constrained federated learning
X Zuo, Q Zhang, R Han
Proceedings of the 2022 5th International Conference on Machine Learning and …, 2022
强制性开放获取政策： 国家自然科学基金委员会
EdgeCloudBenchmark: A Benchmark Driven by Real Trace to Generate Cloud-Edge Workloads
S Wen, H Deng, K Qiu, R Han
2022 IEEE International Conference on Sensing, Diagnostics, Prognostics, and …, 2022
强制性开放获取政策： 国家自然科学基金委员会
Multi-antenna tuning simulation platform by deep reinforcement learning
Y Zhao, K Zhang, R Han
2019 IEEE International Conference on Signal, Information and Data …, 2019
强制性开放获取政策： 国家自然科学基金委员会
Sarp: Synopsis-based approximate request processing for low latency and small correctness loss in cloud online services
R Han, J Zhan, JVP Luis
International Journal of Parallel Programming 44, 1054-1077, 2016
强制性开放获取政策： 国家自然科学基金委员会, Government of Spain
Evaluating Differential Privacy in Federated Continual Learning
J Ouyang, R Han, CH Liu
2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall), 1-5, 2023
强制性开放获取政策： 国家自然科学基金委员会
Enabling Differentially Private in Big Data Machine Learning
D Li, X Zuo, R Han
2019 IEEE International Conference on Signal, Information and Data …, 2019
强制性开放获取政策： 国家自然科学基金委员会
A Measurable Framework for Run-time Data Sampling in Large-scale Datacenter
H Yan, S Wen, R Han
2019 IEEE International Conference on Signal, Information and Data …, 2019
强制性开放获取政策： 国家自然科学基金委员会
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