Xin Zhou

Orcid: 0000-0001-5405-9890

Affiliations:
  • Nanyang Technological University, School of Computer Science and Engineering, Cloud Computing and Application Platform (CAP) Group, Singapore
  • Hiroshima University, Department of Information Engineering, Higashi-Hiroshima, Japan (PhD 2016)


According to our database1, Xin Zhou authored at least 33 papers between 2013 and 2023.

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

Timeline

Legend:

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Online presence:

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Bibliography

2023
Toward Data Center Digital Twins via Knowledge-based Model Calibration and Reduction.
ACM Trans. Model. Comput. Simul., October, 2023

Random Shuffling Data for Hyperspectral Image Classification with Siamese and Knowledge Distillation Network.
Remote. Sens., August, 2023

Optimizing Data Center Energy Efficiency via Event-Driven Deep Reinforcement Learning.
IEEE Trans. Serv. Comput., 2023

Optimizing Energy Efficiency for Data Center via Parameterized Deep Reinforcement Learning.
IEEE Trans. Serv. Comput., 2023

ChatTwin: Toward Automated Digital Twin Generation for Data Center via Large Language Models.
Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, 2023

Energy-Efficient Connectivity Planning of Inter-Satellite Links for LEO Satellite Constellations.
Proceedings of the 1st ACM MobiCom Workshop on Satellite Networking and Computing, 2023

Phyllis: Physics-Informed Lifelong Reinforcement Learning for Data Center Cooling Control.
Proceedings of the 14th ACM International Conference on Future Energy Systems, 2023

Toward Model-Assisted Safe Reinforcement Learning for Data Center Cooling Control: A Lyapunov-based Approach.
Proceedings of the 14th ACM International Conference on Future Energy Systems, 2023

2022
Machine Learning for a Sustainable Energy Future.
CoRR, 2022

Toward a Systematic Survey for Carbon Neutral Data Centers.
IEEE Commun. Surv. Tutorials, 2022

Optimizing Data Centre Energy Efficiency via Event Driven Deep Reinforcement Learning.
Proceedings of the IEEE World Congress on Services, 2022

Reducio: model reduction for data center predictive digital twins via physics-guided machine learning.
Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, 2022

Robust Metric Boosts Transfer.
Proceedings of the 24th IEEE International Workshop on Multimedia Signal Processing, 2022

Toward Physics-Guided Safe Deep Reinforcement Learning for Green Data Center Cooling Control.
Proceedings of the 13th ACM/IEEE International Conference on Cyber-Physical Systems, 2022

2021
Intelligent Trainer for Dyna-Style Model-Based Deep Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., 2021

Joint IT-Facility Optimization for Green Data Centers via Deep Reinforcement Learning.
IEEE Netw., 2021

Carbon Neutrality in Data Center.
CoRR, 2021

2020
Efficient Compute-Intensive Job Allocation in Data Centers via Deep Reinforcement Learning.
IEEE Trans. Parallel Distributed Syst., 2020

Toward Automated Calibration of Data Center Digital Twins: A Neural Surrogate Approach.
CoRR, 2020

Kalibre: Knowledge-based Neural Surrogate Model Calibration for Data Center Digital Twins.
Proceedings of the BuildSys '20: The 7th ACM International Conference on Systems for Energy-Efficient Buildings, 2020

2019
A Survey of Predictive Maintenance: Systems, Purposes and Approaches.
CoRR, 2019

Toward Efficient Compute-Intensive Job Allocation for Green Data Centers: A Deep Reinforcement Learning Approach.
Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

DeepEE: Joint Optimization of Job Scheduling and Cooling Control for Data Center Energy Efficiency Using Deep Reinforcement Learning.
Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

2016
Efficient Implementation of FDFM Approach for Euclidean Algorithms on the FPGA.
Int. J. Netw. Comput., 2016

An FPGA Implementation for a Flexible-Length-Arithmetic Processor Employing the FDFM Processor Core Approach.
IEICE Trans. Inf. Syst., 2016

Accelerating Reachability Analysis on Petri Net for Mutual Exclusion-Based Deadlock Detection.
IEICE Trans. Inf. Syst., 2016

An Efficient Implementation of LZW Decompression in the FPGA.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

An Efficient Implementation of LZW Compression in the FPGA.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2016

2015
Parallel FDFM Approach for Computing GCDs Using the FPGA.
Proceedings of the Parallel Processing and Applied Mathematics, 2015

2014
Implementations of the Hough Transform on the Embedded Multicore Processors.
Int. J. Netw. Comput., 2014

An Efficient Implementation of the Gradient-Based Hough Transform Using DSP Slices and Block RAMs on the FPGA.
Proceedings of the 2014 IEEE International Parallel & Distributed Processing Symposium Workshops, 2014

An Efficient Implementation of the One-Dimensional Hough Transform Algorithm for Circle Detection on the FPGA.
Proceedings of the Second International Symposium on Computing and Networking, 2014

2013
Efficient Hough Transform on the FPGA using DSP Slices and Block RAMs.
Proceedings of the 2013 IEEE International Symposium on Parallel & Distributed Processing, 2013


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