Search Results for author: Liang Yu

Found 7 papers, 1 papers with code

Optimal Operation of a Hydrogen-based Building Multi-Energy System Based on Deep Reinforcement Learning

no code implementations22 Sep 2021 Liang Yu, Shuqi Qin, Zhanbo Xu, Xiaohong Guan, Chao Shen, Dong Yue

To overcome the challenge, we reformulate the problem as a Markov game and propose an energy management algorithm to solve it based on multi-agent discrete actor-critic with rules (MADACR).

Parameter Prediction

Multi-Agent Deep Reinforcement Learning for HVAC Control in Commercial Buildings

no code implementations25 Jun 2020 Liang Yu, Yi Sun, Zhanbo Xu, Chao Shen, Dong Yue, Tao Jiang, Xiaohong Guan

In this paper, we intend to minimize the energy cost of an HVAC system in a multi-zone commercial building under dynamic pricing with the consideration of random zone occupancy, thermal comfort, and indoor air quality comfort.

A Node Embedding Framework for Integration of Similarity-based Drug Combination Prediction

no code implementations25 Feb 2020 Liang Yu, Mingfei Xia, Lin Gao

Results: In this paper, we proposed a Network Embedding framework in Multiplex Networks (NEMN) to predict synthetic drug combinations.

Network Embedding

Identification and Validation of the SNV Biomarkers Based on Multi-Dimensional Patterns

no code implementations25 Feb 2020 Bo Li, Junying Zhang, Liang Yu

It is feasible to classify the cancer of the sample by the distribution of different dimensions of the SNVs and has a high accuracy.

Deep Learning System to Screen Coronavirus Disease 2019 Pneumonia

no code implementations21 Feb 2020 Xiaowei Xu, Xiangao Jiang, Chunlian Ma, Peng Du, Xukun Li, Shuangzhi Lv, Liang Yu, Yanfei Chen, Junwei Su, Guanjing Lang, Yongtao Li, Hong Zhao, Kaijin Xu, Lingxiang Ruan, Wei Wu

We found that the real time reverse transcription-polymerase chain reaction (RT-PCR) detection of viral RNA from sputum or nasopharyngeal swab has a relatively low positive rate in the early stage to determine COVID-19 (named by the World Health Organization).

Computed Tomography (CT) COVID-19 Diagnosis

Identifying Exoplanets with Deep Learning III: Automated Triage and Vetting of TESS Candidates

2 code implementations4 Apr 2019 Liang Yu, Andrew Vanderburg, Chelsea Huang, Christopher J. Shallue, Ian J. M. Crossfield, B. Scott Gaudi, Tansu Daylan, Anne Dattilo, David J. Armstrong, George R. Ricker, Roland K. Vanderspek, David W. Latham, Sara Seager, Jason Dittmann, John P. Doty, Ana Glidden, Samuel N. Quinn

We apply our model on new data from Sector 6, and present 335 new signals that received the highest scores in triage and vetting and were also identified as planet candidates by human vetters.

Earth and Planetary Astrophysics

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