Ruihang Wang

According to our database, Ruihang Wang authored at least 16 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Toward Physics-Informed Machine Learning for Data Center Operations: A Tropical Case Study.

Ruihang Wang, Zhiwei Cao, Qingang Zhang, Rui Tan, Yonggang Wen, Tommy Leung, Stuart Kennedy, Justin Teoh

CoRR, May, 2025

Fusion Intelligence for Digital Twinning AI Data Centers: A Synergistic GenAI-PhyAI Approach.

Ruihang Wang, Minghao Li, Zhiwei Cao, Jimin Jia, Kyle Guan, Yonggang Wen

CoRR, May, 2025

Dual-Splitting Conformal Prediction for Multi-Step Time Series Forecasting.

Qingdi Yu, Zhiwei Cao, Ruihang Wang, Zhen Yang, Lijun Deng, Min Hu, Yong Luo, Xin Zhou

CoRR, March, 2025

Adaptive Capacity Provisioning for Carbon-Aware Data Centers: A Digital Twin-Based Approach.

Zhiwei Cao, Ruihang Wang, Xin Zhou, Rui Tan, Yonggang Wen, Yuejun Yan, Zhaoyang Wang

IEEE Trans. Sustain. Comput., 2025

2024

Green Data Center Cooling Control via Physics-guided Safe Reinforcement Learning.

Ruihang Wang, Zhiwei Cao, Xin Zhou, Yonggang Wen, Rui Tan

ACM Trans. Cyber Phys. Syst., April, 2024

Region Prompt Tuning: Fine-grained Scene Text Detection Utilizing Region Text Prompt.

Xingtao Lin, Heqian Qiu, Lanxiao Wang, Ruihang Wang, Linfeng Xu, Hongliang Li

CoRR, 2024

Proposal-level Correction Guided by CLIP for Few-shot Object Detection.

Ruihang Wang, Taijin Zhao, Hefei Mei, Heqian Qiu, Lanxiao Wang, Hongliang Li

Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2024

2023

Toward Data Center Digital Twins via Knowledge-based Model Calibration and Reduction.

Ruihang Wang, Deneng Xia, Zhiwei Cao, Yonggang Wen, Rui Tan, Xin Zhou

ACM Trans. Model. Comput. Simul., October, 2023

ChatTwin: Toward Automated Digital Twin Generation for Data Center via Large Language Models.

Minghao Li, Ruihang Wang, Xin Zhou, Zhaomeng Zhu, Yonggang Wen, Rui Tan

Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, 2023

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

Ruihang Wang, Zhiwei Cao, Xin Zhou, Yonggang Wen, Rui Tan

Proceedings of the 14th ACM International Conference on Future Energy Systems, 2023

Toward Model-Assisted Safe Reinforcement Learning for Data Center Cooling Control: A Lyapunov-based Approach.

Zhiwei Cao, Ruihang Wang, Xin Zhou, Yonggang Wen

Proceedings of the 14th ACM International Conference on Future Energy Systems, 2023

2022

Reducio: model reduction for data center predictive digital twins via physics-guided machine learning.

Zhiwei Cao, Ruihang Wang, Xin Zhou, Yonggang Wen

Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, 2022

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

Ruihang Wang, Xinyi Zhang, Xin Zhou, Yonggang Wen, Rui Tan

Proceedings of the 13th ACM/IEEE International Conference on Cyber-Physical Systems, 2022

2021

Joint IT-Facility Optimization for Green Data Centers via Deep Reinforcement Learning.

Xin Zhou, Ruihang Wang, Yonggang Wen, Rui Tan

IEEE Netw., 2021

2020

Toward Automated Calibration of Data Center Digital Twins: A Neural Surrogate Approach.

Ruihang Wang, Yuanlong Li, Linsen Dong, Xin Zhou, Yonggang Wen, Rui Tan, Li Chen, Guan Wang, Feng Zeng

CoRR, 2020

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

Ruihang Wang, Xin Zhou, Linsen Dong, Yonggang Wen, Rui Tan, Li Chen, Guan Wang, Feng Zeng

Proceedings of the BuildSys '20: The 7th ACM International Conference on Systems for Energy-Efficient Buildings, 2020