Rui Tan

Toward Physics-Guided Safe Deep Reinforcement Learning for Green Data Center Cooling Control

Yonggang Wen, Xiaoxia Zhou, Ruihang Wang, 2022, 2022 ACM/IEEE 13th International Conference on Cyber-Physical Systems (ICCPS).

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

Xin Zhou, Yonggang Wen, Rui Tan, 2019, 2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS).

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

Yonggang Wen, Linsen Dong, Xin Zhou, 2020, BuildSys@SenSys.

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

Xin Zhou, Yonggang Wen, Rui Tan, 2020, IEEE Transactions on Parallel and Distributed Systems.

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

Xiaoxia Zhou, Zhi-Ying Cao, Yonggang Wen, 2023, e-Energy.

Multi-criteria assessments of increasing supply air temperature in tropical data center

B. B. Kanbur, Fei Duan, Rui Tan, 2023, Energy.

Air Free-Cooled Tropical Data Center: Design, Evaluation, and Learned Lessons

Yingbo Liu, L. Ngoh, Rui Tan, 2022, IEEE Transactions on Sustainable Computing.

A data-assisted first-principle approach to modeling server outlet temperature in air free-cooled data centers

Yingbo Liu, Rui Tan, D. V. Le, 2021, Future Gener. Comput. Syst..

Configuration-Adaptive Wireless Visual Sensing System With Deep Reinforcement Learning

Joy Qiping Yang, Siyuan Zhou, Rui Tan, 2023, IEEE Transactions on Mobile Computing.

Green Data Center Cooling Control via Physics-Guided Safe Reinforcement Learning

Xiaoxia Zhou, Zhi-Ying Cao, Yonggang Wen, 2023, ACM Transactions on Cyber-Physical Systems.