37 citations · 62 across the 5 of their papers we have counts for
5 papers
Deep Explainable Learning with Graph Based Data Assessing and Rule Reasoning
Yuanlong Li, Gaopan Huang, Min Zhou +3
Learning an explainable classifier often results in low accuracy model or ends up with a huge rule set, while learning a deep model is usually more capable of handling noisy data a…
Kalibre: Knowledge-based Neural Surrogate Model Calibration for Data Center Digital Twins
Ruihang Wang, Xin Zhou, Linsen Dong +5
Computational fluid dynamics (CFD) model has been widely used for prototyping data centers. Evolving it to high-fidelity {\em digital twin} is desirable for the management and oper…
Intelligent Trainer for Model-Based Reinforcement Learning
Yuanlong Li, Linsen Dong, Xin Zhou +2
Model-based reinforcement learning (MBRL) has been proposed as a promising alternative solution to tackle the high sampling cost challenge in the canonical reinforcement learning (…
Transforming Cooling Optimization for Green Data Center via Deep Reinforcement Learning
Yuanlong Li, Yonggang Wen, Kyle Guan +1
Cooling system plays a critical role in a modern data center (DC). Developing an optimal control policy for DC cooling system is a challenging task. The prevailing approaches often…
Power Data Classification: A Hybrid of a Novel Local Time Warping and LSTM
Yuanlong Li, Han Hu, Yonggang Wen +1
In this paper, for the purpose of data centre energy consumption monitoring and analysis, we propose to detect the running programs in a server by classifying the observed power co…