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Autonomous Charging of Electric Vehicle Fleets to Enhance Renewable Generation Dispatchability

Dec 22, 2020
Reza Bayani, Saeed D. Manshadi, Guangyi Liu, Yawei Wang, Renchang Dai

* This project was initially submitted to CSEE Journal of Power and Energy Systems in August 2020. The current version was submitted in December 2020 

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Reinforcement Learning based Multi-Robot Classification via Scalable Communication Structure

Dec 18, 2020
Guangyi Liu, Arash Amini, Martin Takáč, Héctor Muñoz-Avila, Nader Motee


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Learning to Decouple Relations: Few-Shot Relation Classification with Entity-Guided Attention and Confusion-Aware Training

Oct 21, 2020
Yingyao Wang, Junwei Bao, Guangyi Liu, Youzheng Wu, Xiaodong He, Bowen Zhou, Tiejun Zhao

* 11 pages, 5 figures, accepted by COLING2020 

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A Layered Architecture for Active Perception: Image Classification using Deep Reinforcement Learning

Sep 20, 2019
Hossein K. Mousavi, Guangyi Liu, Weihang Yuan, Martin Takáč, Héctor Muñoz-Avila, Nader Motee

* Submitted to ICRA-2020 

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Enhancement of Power Equipment Management Using Knowledge Graph

Apr 28, 2019
Yachen Tang, Tingting Liu, Guangyi Liu, Jie Li, Renchang Dai, Chen Yuan


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Power Market Price Forecasting via Deep Learning

Oct 23, 2018
Yongli Zhu, Songtao Lu, Renchang Dai, Guangyi Liu, Zhiwei Wang

* This manuscript has been accepted by the incoming conference IECON 2018 at Washington DC, USA, Oct. 21-23, 2018 

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Unbalanced Three-Phase Distribution Grid Topology Estimation and Bus Phase Identification

Oct 09, 2018
Yizheng Liao, Yang Weng, Guangyi Liu, Zhongyang Zhao, Chin-woo Tan, Ram Rajagopal

* 12 pages, 15 figures 

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Urban MV and LV Distribution Grid Topology Estimation via Group Lasso

Sep 13, 2018
Yizheng Liao, Yang Weng, Guangyi Liu, Ram Rajagopal

* IEEE transactions on power systems 2018 
* 15 pages, 16 figures 

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Convolutional Graph Auto-encoder: A Deep Generative Neural Architecture for Probabilistic Spatio-temporal Solar Irradiance Forecasting

Sep 10, 2018
Mahdi Khodayar, Saeed Mohammadi, Mohammad Khodayar, Jianhui Wang, Guangyi Liu

* 8 pages, 11 figures 

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