A survey of predictive maintenance: Systems, purposes and approaches Y Ran, X Zhou, P Lin, Y Wen, R Deng arXiv preprint arXiv:1912.07383, 2019 | 339 | 2019 |
Machine learning: an advanced platform for materials development and state prediction in lithium‐ion batteries C Lv, X Zhou, L Zhong, C Yan, M Srinivasan, ZW Seh, C Liu, H Pan, S Li, ... Advanced Materials 34 (25), 2101474, 2022 | 198 | 2022 |
Machine learning for a sustainable energy future Z Yao, Y Lum, A Johnston, LM Mejia-Mendoza, X Zhou, Y Wen, ... Nature Reviews Materials 8 (3), 202-215, 2023 | 124 | 2023 |
Deepee: Joint optimization of job scheduling and cooling control for data center energy efficiency using deep reinforcement learning Y Ran, H Hu, X Zhou, Y Wen 2019 IEEE 39th International Conference on Distributed Computing Systems …, 2019 | 97 | 2019 |
Toward a systematic survey for carbon neutral data centers Z Cao, X Zhou, H Hu, Z Wang, Y Wen IEEE Communications Surveys & Tutorials 24 (2), 895-936, 2022 | 62 | 2022 |
Toward efficient compute-intensive job allocation for green data centers: A deep reinforcement learning approach D Yi, X Zhou, Y Wen, R Tan 2019 IEEE 39th International Conference on Distributed Computing Systems …, 2019 | 41 | 2019 |
Efficient compute-intensive job allocation in data centers via deep reinforcement learning D Yi, X Zhou, Y Wen, R Tan IEEE Transactions on Parallel and Distributed Systems 31 (6), 1474-1485, 2020 | 40 | 2020 |
An Efficient Implementation of LZW Compression in the FPGA KN Xin Zhou, Yasuaki Ito International Conference on Algorithms and Architectures for Parallel …, 2016 | 28* | 2016 |
An efficient implementation of the one-dimensional Hough transform algorithm for circle detection on the FPGA X Zhou, Y Ito, K Nakano 2014 Second International Symposium on Computing and Networking, 447-452, 2014 | 24 | 2014 |
Kalibre: Knowledge-based neural surrogate model calibration for data center digital twins R Wang, X Zhou, L Dong, Y Wen, R Tan, L Chen, G Wang, F Zeng Proceedings of the 7th ACM International Conference on Systems for Energy …, 2020 | 21 | 2020 |
Optimizing energy efficiency for data center via parameterized deep reinforcement learning Y Ran, H Hu, Y Wen, X Zhou IEEE Transactions on Services Computing 16 (2), 1310-1323, 2022 | 19 | 2022 |
Optimizing data center energy efficiency via event-driven deep reinforcement learning Y Ran, X Zhou, H Hu, Y Wen IEEE Transactions on Services Computing 16 (2), 1296-1309, 2022 | 16 | 2022 |
Toward physics-guided safe deep reinforcement learning for green data center cooling control R Wang, X Zhang, X Zhou, Y Wen, R Tan 2022 ACM/IEEE 13th International Conference on Cyber-Physical Systems (ICCPS …, 2022 | 15 | 2022 |
Joint IT-facility optimization for green data centers via deep reinforcement learning X Zhou, R Wang, Y Wen, R Tan IEEE Network 35 (6), 255-262, 2021 | 15 | 2021 |
Intelligent trainer for dyna-style model-based deep reinforcement learning L Dong, Y Li, X Zhou, Y Wen, K Guan IEEE Transactions on Neural Networks and Learning Systems 32 (6), 2758-2771, 2020 | 15 | 2020 |
An efficient implementation of the gradient-based Hough transform using DSP slices and block RAMs on the FPGA X Zhou, Y Ito, K Nakano 2014 IEEE International Parallel & Distributed Processing Symposium …, 2014 | 15 | 2014 |
Efficient Hough transform on the FPGA using DSP slices and block RAMs X Zhou, N Tomagou, Y Ito, K Nakano 2013 IEEE International Symposium on Parallel & Distributed Processing …, 2013 | 14 | 2013 |
An FPGA Implementation of Hough Transform using DSP blocks and block RAMs X Zhou, Y Ito, K Nakano Bulletin of Networking, Computing, Systems, and Software 2 (1), 18-24, 2013 | 14 | 2013 |
An Efficient Implementation of the Hough Transform using DSP slices and block RAMs on the FPGA X Zhou, Y Ito, K Nakano 2013 IEEE 7th International Symposium on Embedded Multicore Socs, 85-90, 2013 | 11 | 2013 |
A Survey of Predictive Maintenance: Systems, Purposes and Approaches. 2019. doi: 10.48550 Y Ran, X Zhou, P Lin, Y Wen, R Deng ARXIV, 1912 | 8 | 1912 |