Xin Zhou

According to our database, Xin Zhou authored at least 36 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Green Data Center Cooling Control via Physics-guided Safe Reinforcement Learning.

Ruihang Wang, Zhiwei Cao, Xin Zhou, Yonggang Wen, Rui Tan

ACM Trans. Cyber Phys. Syst., April, 2024

Data Center Sustainability: Revisits and Outlooks.

Zhiwei Cao, Xin Zhou, Xiangyu Wu, Zhaomeng Zhu, Tracy Liu, Jeffery Neng, Yonggang Wen

IEEE Trans. Sustain. Comput., 2024

EdgeVision: Towards Collaborative Video Analytics on Distributed Edges for Performance Maximization.

Guanyu Gao, Yuqi Dong, Ran Wang, Xin Zhou

IEEE Trans. Multim., 2024

2023

Toward Data Center Digital Twins via Knowledge-based Model Calibration and Reduction.

Ruihang Wang, Deneng Xia, Zhiwei Cao, Yonggang Wen, Rui Tan, Xin Zhou

ACM Trans. Model. Comput. Simul., October, 2023

Random Shuffling Data for Hyperspectral Image Classification with Siamese and Knowledge Distillation Network.

Zhen Yang, Ying Cao, Xin Zhou, Junya Liu, Tao Zhang, Jinsheng Ji

Remote. Sens., August, 2023

Optimizing Data Center Energy Efficiency via Event-Driven Deep Reinforcement Learning.

Yongyi Ran, Xin Zhou, Han Hu, Yonggang Wen

IEEE Trans. Serv. Comput., 2023

Optimizing Energy Efficiency for Data Center via Parameterized Deep Reinforcement Learning.

Yongyi Ran, Han Hu, Yonggang Wen, Xin Zhou

IEEE Trans. Serv. Comput., 2023

ChatTwin: Toward Automated Digital Twin Generation for Data Center via Large Language Models.

Minghao Li, Ruihang Wang, Xin Zhou, Zhaomeng Zhu, Yonggang Wen, Rui Tan

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.

Yue Li, Jiangtao Luo, Yongyi Ran, Jiahao Pi, Xin Zhou

Proceedings of the 1st ACM MobiCom Workshop on Satellite Networking and Computing, 2023

Phyllis: Physics-Informed Lifelong Reinforcement Learning for Data Center Cooling Control.

Ruihang Wang, Zhiwei Cao, Xin Zhou, Yonggang Wen, Rui Tan

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.

Zhiwei Cao, Ruihang Wang, Xin Zhou, Yonggang Wen

Proceedings of the 14th ACM International Conference on Future Energy Systems, 2023

2022

Machine Learning for a Sustainable Energy Future.

Zhenpeng Yao, Yanwei Lum, Andrew Johnston, Luis Martin Mejia-Mendoza, Xin Zhou, Yonggang Wen, Alán Aspuru-Guzik, Edward H. Sargent, Zhi Wei Seh

CoRR, 2022

Toward a Systematic Survey for Carbon Neutral Data Centers.

Zhiwei Cao, Xin Zhou, Han Hu, Zhi Wang, Yonggang Wen

IEEE Commun. Surv. Tutorials, 2022

Optimizing Data Centre Energy Efficiency via Event Driven Deep Reinforcement Learning.

Yongyi Ran, Xin Zhou, Han Hu, Yonggang Wen

Proceedings of the IEEE World Congress on Services, 2022

Reducio: model reduction for data center predictive digital twins via physics-guided machine learning.

Zhiwei Cao, Ruihang Wang, Xin Zhou, Yonggang Wen

Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, 2022

Robust Metric Boosts Transfer.

Qiancheng Yang, Yong Luo, Han Hu, Xin Zhou, Bo Du, Dacheng Tao

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.

Ruihang Wang, Xinyi Zhang, Xin Zhou, Yonggang Wen, Rui Tan

Proceedings of the 13th ACM/IEEE International Conference on Cyber-Physical Systems, 2022

2021

Intelligent Trainer for Dyna-Style Model-Based Deep Reinforcement Learning.

Linsen Dong, Yuanlong Li, Xin Zhou, Yonggang Wen, Kyle Guan

IEEE Trans. Neural Networks Learn. Syst., 2021

Joint IT-Facility Optimization for Green Data Centers via Deep Reinforcement Learning.

Xin Zhou, Ruihang Wang, Yonggang Wen, Rui Tan

IEEE Netw., 2021

Carbon Neutrality in Data Center.

Zhiwei Cao, Xin Zhou, Han Hu, Zhi Wang, Yonggang Wen

CoRR, 2021

2020

Efficient Compute-Intensive Job Allocation in Data Centers via Deep Reinforcement Learning.

Deliang Yi, Xin Zhou, Yonggang Wen, Rui Tan

IEEE Trans. Parallel Distributed Syst., 2020

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

Ruihang Wang, Yuanlong Li, Linsen Dong, Xin Zhou, Yonggang Wen, Rui Tan, Li Chen, Guan Wang, Feng Zeng

CoRR, 2020

Kalibre: Knowledge-based Neural Surrogate Model Calibration for Data Center Digital Twins.

Ruihang Wang, Xin Zhou, Linsen Dong, Yonggang Wen, Rui Tan, Li Chen, Guan Wang, Feng Zeng

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.

Yongyi Ran, Xin Zhou, Pengfeng Lin, Yonggang Wen, Ruilong Deng

CoRR, 2019

Toward Efficient Compute-Intensive Job Allocation for Green Data Centers: A Deep Reinforcement Learning Approach.

Deliang Yi, Xin Zhou, Yonggang Wen, Rui Tan

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.

Yongyi Ran, Han Hu, Xin Zhou, Yonggang Wen

Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

2016

Efficient Implementation of FDFM Approach for Euclidean Algorithms on the FPGA.

Xin Zhou, Koji Nakano, Yasuaki Ito

Int. J. Netw. Comput., 2016

An FPGA Implementation for a Flexible-Length-Arithmetic Processor Employing the FDFM Processor Core Approach.

Tatsuya Kawamoto, Xin Zhou, Jacir Luiz Bordim, Yasuaki Ito, Koji Nakano

IEICE Trans. Inf. Syst., 2016

Accelerating Reachability Analysis on Petri Net for Mutual Exclusion-Based Deadlock Detection.

Yunkai Du, Naijie Gu, Xin Zhou

IEICE Trans. Inf. Syst., 2016

An Efficient Implementation of LZW Decompression in the FPGA.

Xin Zhou, Yasuaki Ito, Koji Nakano

Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

An Efficient Implementation of LZW Compression in the FPGA.

Xin Zhou, Yasuaki Ito, Koji Nakano

Proceedings of the Algorithms and Architectures for Parallel Processing, 2016

2015

Parallel FDFM Approach for Computing GCDs Using the FPGA.

Xin Zhou, Koji Nakano, Yasuaki Ito

Proceedings of the Parallel Processing and Applied Mathematics, 2015

2014

Implementations of the Hough Transform on the Embedded Multicore Processors.

Xin Zhou, Norihiro Tomagou, Yasuaki Ito, Koji Nakano

Int. J. Netw. Comput., 2014

An Efficient Implementation of the Gradient-Based Hough Transform Using DSP Slices and Block RAMs on the FPGA.

Xin Zhou, Yasuaki Ito, Koji Nakano

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.

Xin Zhou, Yasuaki Ito, Koji Nakano

Proceedings of the Second International Symposium on Computing and Networking, 2014

2013

Efficient Hough Transform on the FPGA using DSP Slices and Block RAMs.

Xin Zhou, Norihiro Tomagou, Yasuaki Ito, Koji Nakano

Proceedings of the 2013 IEEE International Symposium on Parallel & Distributed Processing, 2013