Xin Zhou

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 29

Top Topics

Reinforcement Learning

Energy Efficiency

Hough Transform

Top Venues

BuildSys@SenSys

IEEE Trans. Serv. Comput.

Publications

Ruihang Wang, Zhiwei Cao, Xin Zhou, Yonggang Wen, Rui Tan
Green Data Center Cooling Control via Physics-guided Safe Reinforcement Learning. ACM Trans. Cyber Phys. Syst. 8 (2) (2024)
Zhiwei Cao, Xin Zhou, Xiangyu Wu, Zhaomeng Zhu, Tracy Liu, Jeffery Neng, Yonggang Wen
Data Center Sustainability: Revisits and Outlooks. IEEE Trans. Sustain. Comput. 9 (3) (2024)
Guanyu Gao, Yuqi Dong, Ran Wang, Xin Zhou
EdgeVision: Towards Collaborative Video Analytics on Distributed Edges for Performance Maximization. IEEE Trans. Multim. 26 (2024)
Ruihang Wang, Zhiwei Cao, Xin Zhou, Yonggang Wen, Rui Tan
Phyllis: Physics-Informed Lifelong Reinforcement Learning for Data Center Cooling Control. e-Energy (2023)
Minghao Li, Ruihang Wang, Xin Zhou, Zhaomeng Zhu, Yonggang Wen, Rui Tan
ChatTwin: Toward Automated Digital Twin Generation for Data Center via Large Language Models. BuildSys@SenSys (2023)
Ruihang Wang, Deneng Xia, Zhiwei Cao, Yonggang Wen, Rui Tan, Xin Zhou
Toward Data Center Digital Twins via Knowledge-based Model Calibration and Reduction. ACM Trans. Model. Comput. Simul. 33 (4) (2023)
Zhen Yang, Ying Cao, Xin Zhou, Junya Liu, Tao Zhang, Jinsheng Ji
Random Shuffling Data for Hyperspectral Image Classification with Siamese and Knowledge Distillation Network. Remote. Sens. 15 (16) (2023)
Zhiwei Cao, Ruihang Wang, Xin Zhou, Yonggang Wen
Toward Model-Assisted Safe Reinforcement Learning for Data Center Cooling Control: A Lyapunov-based Approach. e-Energy (2023)
Yue Li, Jiangtao Luo, Yongyi Ran, Jiahao Pi, Xin Zhou
Energy-Efficient Connectivity Planning of Inter-Satellite Links for LEO Satellite Constellations. SatCom@MobiCom (2023)
Yongyi Ran, Han Hu, Yonggang Wen, Xin Zhou
Optimizing Energy Efficiency for Data Center via Parameterized Deep Reinforcement Learning. IEEE Trans. Serv. Comput. 16 (2) (2023)
Yongyi Ran, Xin Zhou, Han Hu, Yonggang Wen
Optimizing Data Center Energy Efficiency via Event-Driven Deep Reinforcement Learning. IEEE Trans. Serv. Comput. 16 (2) (2023)
Zhiwei Cao, Xin Zhou, Han Hu, Zhi Wang, Yonggang Wen
Toward a Systematic Survey for Carbon Neutral Data Centers. IEEE Commun. Surv. Tutorials 24 (2) (2022)
Ruihang Wang, Xinyi Zhang, Xin Zhou, Yonggang Wen, Rui Tan
Toward Physics-Guided Safe Deep Reinforcement Learning for Green Data Center Cooling Control. ICCPS (2022)
Yongyi Ran, Xin Zhou, Han Hu, Yonggang Wen
Optimizing Data Centre Energy Efficiency via Event Driven Deep Reinforcement Learning. SERVICES (2022)
Zhiwei Cao, Ruihang Wang, Xin Zhou, Yonggang Wen
Reducio: model reduction for data center predictive digital twins via physics-guided machine learning. BuildSys@SenSys (2022)
Linsen Dong, Yuanlong Li, Xin Zhou, Yonggang Wen, Kyle Guan
Intelligent Trainer for Dyna-Style Model-Based Deep Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 32 (6) (2021)
Zhiwei Cao, Xin Zhou, Han Hu, Zhi Wang, Yonggang Wen
Carbon Neutrality in Data Center. CoRR (2021)
Xin Zhou, Ruihang Wang, Yonggang Wen, Rui Tan
Joint IT-Facility Optimization for Green Data Centers via Deep Reinforcement Learning. IEEE Netw. 35 (6) (2021)
Ruihang Wang, Xin Zhou, Linsen Dong, Yonggang Wen, Rui Tan, Li Chen, Guan Wang, Feng Zeng
Kalibre: Knowledge-based Neural Surrogate Model Calibration for Data Center Digital Twins. BuildSys@SenSys (2020)
Ruihang Wang, Yuanlong Li, Linsen Dong, Xin Zhou, Yonggang Wen, Rui Tan, Li Chen, Guan Wang, Feng Zeng
Toward Automated Calibration of Data Center Digital Twins: A Neural Surrogate Approach. CoRR (2020)
Deliang Yi, Xin Zhou, Yonggang Wen, Rui Tan
Efficient Compute-Intensive Job Allocation in Data Centers via Deep Reinforcement Learning. IEEE Trans. Parallel Distributed Syst. 31 (6) (2020)
Yongyi Ran, Han Hu, Xin Zhou, Yonggang Wen
DeepEE: Joint Optimization of Job Scheduling and Cooling Control for Data Center Energy Efficiency Using Deep Reinforcement Learning. ICDCS (2019)
Yongyi Ran, Xin Zhou, Pengfeng Lin, Yonggang Wen, Ruilong Deng
A Survey of Predictive Maintenance: Systems, Purposes and Approaches. CoRR (2019)
Deliang Yi, Xin Zhou, Yonggang Wen, Rui Tan
Toward Efficient Compute-Intensive Job Allocation for Green Data Centers: A Deep Reinforcement Learning Approach. ICDCS (2019)
Xin Zhou, Koji Nakano, Yasuaki Ito
Efficient Implementation of FDFM Approach for Euclidean Algorithms on the FPGA. Int. J. Netw. Comput. 6 (2) (2016)
Xin Zhou, Yasuaki Ito, Koji Nakano
An Efficient Implementation of LZW Compression in the FPGA. ICA3PP (2016)
Xin Zhou, Yasuaki Ito, Koji Nakano
An Efficient Implementation of LZW Decompression in the FPGA. IPDPS Workshops (2016)
Yunkai Du, Naijie Gu, Xin Zhou
Accelerating Reachability Analysis on Petri Net for Mutual Exclusion-Based Deadlock Detection. IEICE Trans. Inf. Syst. (12) (2016)
Tatsuya Kawamoto, Xin Zhou, Jacir Luiz Bordim, Yasuaki Ito, Koji Nakano
An FPGA Implementation for a Flexible-Length-Arithmetic Processor Employing the FDFM Processor Core Approach. IEICE Trans. Inf. Syst. (12) (2016)
Xin Zhou, Koji Nakano, Yasuaki Ito
Parallel FDFM Approach for Computing GCDs Using the FPGA. PPAM (1) (2015)
Xin Zhou, Yasuaki Ito, Koji Nakano
An Efficient Implementation of the Gradient-Based Hough Transform Using DSP Slices and Block RAMs on the FPGA. IPDPS Workshops (2014)
Xin Zhou, Norihiro Tomagou, Yasuaki Ito, Koji Nakano
Implementations of the Hough Transform on the Embedded Multicore Processors. Int. J. Netw. Comput. 4 (1) (2014)
Xin Zhou, Yasuaki Ito, Koji Nakano
An Efficient Implementation of the One-Dimensional Hough Transform Algorithm for Circle Detection on the FPGA. CANDAR (2014)
Xin Zhou, Norihiro Tomagou, Yasuaki Ito, Koji Nakano
Efficient Hough Transform on the FPGA using DSP Slices and Block RAMs. IPDPS Workshops (2013)