Ziyu Shen

Orcid: 0000-0001-7137-2846

According to our database1, Ziyu Shen authored at least 19 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2023
A Method for Measuring Gravitational Potential of Satellite's Orbit Using Frequency Signal Transfer Technique between Satellites.
Remote. Sens., July, 2023

Unification of a Global Height System at the Centimeter-Level Using Precise Clock Frequency Signal Links.
Remote. Sens., June, 2023

Cost-sensitive Tensor-based Dual-stage Attention LSTM with Feature Selection for Data Center Server Power Forecasting.
ACM Trans. Intell. Syst. Technol., April, 2023

PM$^{2}$2VE: Power Metering Model for Virtualization Environments in Cloud Data Centers.
IEEE Trans. Cloud Comput., 2023

Unifying the Regional Height System Using Optic-Fiber Clock Network: A Simulation Test for Southeast Asia.
IEEE Access, 2023

2022
A Global Conversion Factor Model for Mapping Zenith Total Delay onto Precipitable Water.
Remote. Sens., 2022

Strain Field Features and Three-Dimensional Crustal Deformations Constrained by Dense GRACE and GPS Measurements in NE Tibet.
Remote. Sens., 2022

Evaluation of NeQuick2 Model over Mid-Latitudes of Northern Hemisphere.
Remote. Sens., 2022

Test of Determining Geopotential Difference between Two Sites at Wuhan Based on Optical Clocks' Frequency Comparisons.
Remote. Sens., 2022

Measuring Height Difference Using Two-Way Satellite Time and Frequency Transfer.
Remote. Sens., 2022

Data characteristics aware prediction model for power consumption of data center servers.
Concurr. Comput. Pract. Exp., 2022

2021
High-Precision Potential Evapotranspiration Model Using GNSS Observation.
Remote. Sens., 2021

Modeling and Performance Evaluation of Precise Positioning and Time-Frequency Transfer with Galileo Five-Frequency Observations.
Remote. Sens., 2021

2020
Geopotential Determination Based on Precise Point Positioning Time Comparison: A Case Study Using Simulated Observation.
IEEE Access, 2020

DPAST-RNN: A Dual-Phase Attention-Based Recurrent Neural Network Using Spatiotemporal LSTMs for Time Series Prediction.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Estimating Power Consumption of Containers and Virtual Machines in Data Centers.
Proceedings of the IEEE International Conference on Cluster Computing, 2020

A Truthful FPTAS Auction for the Edge-Cloud Pricing Problem.
Proceedings of the 6th International Conference on Big Data Computing and Communications, 2020

2019
Multi-Granularity Power Prediction for Data Center Operations via Long Short-Term Memory Network.
Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019

PCP-2LSTM: Two Stacked LSTM-Based Prediction Model for Power Consumption in Data Centers.
Proceedings of the Seventh International Conference on Advanced Cloud and Big Data, 2019


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