3 papers
cs.AI2022
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…
eess.SY2020
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…
cs.LG2018
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 (…