b'Guangyi Liu'

research

∙ 08/01/2022

Composable Text Control Operations in Latent Space with Ordinary Differential Equations

Real-world text applications often involve composing a wide range of tex...

Guangyi Liu, et al. ∙

research

∙ 05/20/2022

6G Network AI Architecture for Everyone-Centric Customized Services

Mobile communication standards were developed for enhancing transmission...

Yang Yang, et al. ∙

research

∙ 05/09/2022

Deep Learning Enabled Semantic Communications with Speech Recognition and Synthesis

In this paper, we develop a deep learning based semantic communication s...

Zhenzi Weng, et al. ∙

research

∙ 03/10/2022

Robustness Analysis of Classification Using Recurrent Neural Networks with Perturbed Sequential Input

For a given stable recurrent neural network (RNN) that is trained to per...

Guangyi Liu, et al. ∙

research

∙ 08/11/2021

Medical-VLBERT: Medical Visual Language BERT for COVID-19 CT Report Generation With Alternate Learning

Medical imaging technologies, including computed tomography (CT) or ches...

Guangyi Liu, et al. ∙

research

∙ 06/29/2021

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

Neural text generation models are typically trained by maximizing log-li...

Guangyi Liu, et al. ∙

research

∙ 06/16/2021

An Intelligent Question Answering System based on Power Knowledge Graph

The intelligent question answering (IQA) system can accurately capture u...

Yachen Tang, et al. ∙

research

∙ 05/03/2021

Robust Learning of Recurrent Neural Networks in Presence of Exogenous Noise

Recurrent Neural networks (RNN) have shown promising potential for learn...

Arash Amini, et al. ∙

research

∙ 12/22/2020

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...

Reza Bayani, et al. ∙

research

∙ 12/18/2020

Distributed Map Classification using Local Observations

We consider the problem of classifying a map using a team of communicati...

Guangyi Liu, et al. ∙

research

∙ 10/21/2020

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...

Yingyao Wang, et al. ∙

research

∙ 06/29/2020

Parallel Betweenness Computation in Graph Database for Contingency Selection

Parallel betweenness computation algorithms are proposed and implemented...

Yongli Zhu, et al. ∙

research

∙ 02/20/2020

Graph Computing based Distributed State Estimation with PMUs

Power system state estimation plays a fundamental and critical role in t...

Yi Lu, et al. ∙

research

∙ 09/26/2019

Communication-Constrained Routing and Traffic Control for Autonomous Vehicles

Autonomous vehicles (AV) is an advanced technology that can bring conven...

Guangyi Liu, et al. ∙

research

∙ 09/20/2019

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

We propose a planning and perception mechanism for a robot (agent), that...

Hossein K. Mousavi, et al. ∙

research

∙ 04/28/2019

Enhancement of Power Equipment Management Using Knowledge Graph

Accurate retrieval of the power equipment information plays an important...

Yachen Tang, et al. ∙

research

∙ 04/08/2019

A High-Performance Energy Management System based on Evolving Graph

As the fast growth and large integration of distributed generation, rene...

Guangyi Liu, et al. ∙

research

∙ 04/07/2019

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

In this study, a graph-computing based grid splitting detection algorith...

Yongli Zhu, et al. ∙

research

∙ 03/29/2019

Graph Computing based Fast Screening in Contingency Analysis

During last decades, contingency analysis has been facing challenges fro...

Yiting Zhao, et al. ∙

research

∙ 03/20/2019

Substation One-Line Diagram Automatic Generation and Visualization

In Energy Management System (EMS) applications and many other off-line p...

Jing Hong, et al. ∙

research

∙ 02/26/2019

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

This paper proposes a graph computation based sequential power flow calc...

Wei Feng, et al. ∙

research

∙ 02/19/2019

Graph Computing based Distributed Fast Decoupled Power Flow Analysis

Power flow analysis plays a fundamental and critical role in the energy ...

Chen Yuan, et al. ∙

research

∙ 10/25/2018

Graph Based Power Flow Calculation for Energy Management System

Power flow calculation in EMS is required to accommodate a large and com...

Junjie Shi, et al. ∙

research

∙ 09/18/2018

Power Market Price Forecasting via Deep Learning

A study on power market price forecasting by deep learning is presented....

Yongli Zhu, et al. ∙

research

∙ 09/18/2018

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

There is an increasing need for monitoring and controlling uncertainties...

Yizheng Liao, et al. ∙

research

∙ 09/10/2018

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...

Mahdi Khodayar, et al. ∙

research

∙ 09/05/2018

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

Compared with traditional relational database, graph database, GDB, is a...

Chen Yuan, et al. ∙

research

∙ 09/05/2018

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 ...

Chen Yuan, et al. ∙

research

∙ 04/03/2018

Graph based Platform for Electricity Market Study, Education and Training

With the further development of deregulated electricity market in many o...

Tao Chen, et al. ∙

research

∙ 03/15/2018

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...

Zhangxin Zhou, et al. ∙

research

∙ 03/08/2018

Exploration of Graph Computing in Power System State Estimation

With the increased complexity of power systems due to the integration of...

Chen Yuan, et al. ∙

research

∙ 03/08/2018

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

Contingency analysis (CA) plays a critical role to guarantee operation s...

Yiting Zhao, et al. ∙

research

∙ 11/06/2016

Urban Distribution Grid Topology Estimation via Group Lasso

The growing penetration of distributed energy resources (DERs) in urban ...

Yizheng Liao, et al. ∙

Guangyi Liu

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