b'Guangyi Liu'

Don't Take It Literally: An Edit-Invariant Sequence Loss for Text Generation

Neural text generation models are typically trained by maximizing log-li...
06/29/2021 ∙ by Guangyi Liu, et al. ∙ 0 ∙ share

read it
An Intelligent Question Answering System based on Power Knowledge Graph

The intelligent question answering (IQA) system can accurately capture u...
06/16/2021 ∙ by Yachen Tang, et al. ∙ 0 ∙ share

read it
Robust Learning of Recurrent Neural Networks in Presence of Exogenous Noise

Recurrent Neural networks (RNN) have shown promising potential for learn...
05/03/2021 ∙ by Arash Amini, et al. ∙ 0 ∙ share

read it
Autonomous Charging of Electric Vehicle Fleets to Enhance Renewable Generation Dispatchability

A total 19 over some months, more than 10 a novel approach to reduce ren...
12/22/2020 ∙ by Reza Bayani, et al. ∙ 0 ∙ share

read it
Distributed Map Classification using Local Observations

We consider the problem of classifying a map using a team of communicati...
12/18/2020 ∙ by Guangyi Liu, et al. ∙ 26 ∙ share

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

This paper aims to enhance the few-shot relation classification especial...
10/21/2020 ∙ by Yingyao Wang, et al. ∙ 0 ∙ share

read it
Parallel Betweenness Computation in Graph Database for Contingency Selection

Parallel betweenness computation algorithms are proposed and implemented...
06/29/2020 ∙ by Yongli Zhu, et al. ∙ 0 ∙ share

read it
Graph Computing based Distributed State Estimation with PMUs

Power system state estimation plays a fundamental and critical role in t...
02/20/2020 ∙ by Yi Lu, et al. ∙ 0 ∙ share

read it
Communication-Constrained Routing and Traffic Control for Autonomous Vehicles

Autonomous vehicles (AV) is an advanced technology that can bring conven...
09/26/2019 ∙ by Guangyi Liu, et al. ∙ 0 ∙ share

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

We propose a planning and perception mechanism for a robot (agent), that...
09/20/2019 ∙ by Hossein K. Mousavi, et al. ∙ 31 ∙ share

read it
Enhancement of Power Equipment Management Using Knowledge Graph

Accurate retrieval of the power equipment information plays an important...
04/28/2019 ∙ by Yachen Tang, et al. ∙ 0 ∙ share

read it
A High-Performance Energy Management System based on Evolving Graph

As the fast growth and large integration of distributed generation, rene...
04/08/2019 ∙ by Guangyi Liu, et al. ∙ 0 ∙ share

read it
Fast Grid Splitting Detection for N-1 Contingency Analysis by Graph Computing

In this study, a graph-computing based grid splitting detection algorith...
04/07/2019 ∙ by Yongli Zhu, et al. ∙ 0 ∙ share

read it
Graph Computing based Fast Screening in Contingency Analysis

During last decades, contingency analysis has been facing challenges fro...
03/29/2019 ∙ by Yiting Zhao, et al. ∙ 0 ∙ share

read it
Substation One-Line Diagram Automatic Generation and Visualization

In Energy Management System (EMS) applications and many other off-line p...
03/20/2019 ∙ by Jing Hong, et al. ∙ 0 ∙ share

read it
A Graph Computation based Sequential Power Flow Calculation for Large-Scale ACDC Systems

This paper proposes a graph computation based sequential power flow calc...
02/26/2019 ∙ by Wei Feng, et al. ∙ 0 ∙ share

read it
Graph Computing based Distributed Fast Decoupled Power Flow Analysis

Power flow analysis plays a fundamental and critical role in the energy ...
02/19/2019 ∙ by Chen Yuan, et al. ∙ 0 ∙ share

read it
Graph Based Power Flow Calculation for Energy Management System

Power flow calculation in EMS is required to accommodate a large and com...
10/25/2018 ∙ by Junjie Shi, et al. ∙ 0 ∙ share

read it
Power Market Price Forecasting via Deep Learning

A study on power market price forecasting by deep learning is presented....
09/18/2018 ∙ by Yongli Zhu, et al. ∙ 0 ∙ share

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

There is an increasing need for monitoring and controlling uncertainties...
09/18/2018 ∙ by Yizheng Liao, et al. ∙ 0 ∙ share

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

Machine Learning on graph-structured data is an important and omnipresen...
09/10/2018 ∙ by Mahdi Khodayar, et al. ∙ 18 ∙ share

read it
Exploration of Bi-Level PageRank Algorithm for Power Flow Analysis Using Graph Database

Compared with traditional relational database, graph database, GDB, is a...
09/05/2018 ∙ by Chen Yuan, et al. ∙ 0 ∙ share

read it
Power Flow Analysis Using Graph based Combination of Iterative Methods and Vertex Contraction Approach

Compared with relational database (RDB), graph database (GDB) is a more ...
09/05/2018 ∙ by Chen Yuan, et al. ∙ 0 ∙ share

read it
Graph based Platform for Electricity Market Study, Education and Training

With the further development of deregulated electricity market in many o...
04/03/2018 ∙ by Tao Chen, et al. ∙ 0 ∙ share

read it
CIM/E Oriented Graph Database Model Architecture and Parallel Network Topology Processing

CIM/E is an easy and efficient electric power model exchange standard be...
03/15/2018 ∙ by Zhangxin Zhou, et al. ∙ 0 ∙ share

read it
Exploration of Graph Computing in Power System State Estimation

With the increased complexity of power systems due to the integration of...
03/08/2018 ∙ by Chen Yuan, et al. ∙ 0 ∙ share

read it
Graph-based Preconditioning Conjugate Gradient Algorithm for N-1 Contingency Analysis

Contingency analysis (CA) plays a critical role to guarantee operation s...
03/08/2018 ∙ by Yiting Zhao, et al. ∙ 0 ∙ share

read it
Urban Distribution Grid Topology Estimation via Group Lasso

The growing penetration of distributed energy resources (DERs) in urban ...
11/06/2016 ∙ by Yizheng Liao, et al. ∙ 0 ∙ share

read it

Guangyi Liu

Featured Co-authors