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05/22/2023
Multistatic Integrated Sensing and Communication System in Cellular Networks
A novel multistatic multiple-input multiple-output (MIMO) integrated sen...
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03/16/2023
Symbolic Perception Risk in Autonomous Driving
We develop a novel framework to assess the risk of misperception in a tr...
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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...
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05/20/2022
6G Network AI Architecture for Everyone-Centric Customized Services
Mobile communication standards were developed for enhancing transmission...
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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...
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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...
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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...
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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...
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06/16/2021
An Intelligent Question Answering System based on Power Knowledge Graph
The intelligent question answering (IQA) system can accurately capture u...
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05/03/2021
Robust Learning of Recurrent Neural Networks in Presence of Exogenous Noise
Recurrent Neural networks (RNN) have shown promising potential for learn...
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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...
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12/18/2020
Distributed Map Classification using Local Observations
We consider the problem of classifying a map using a team of communicati...
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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...
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06/29/2020
Parallel Betweenness Computation in Graph Database for Contingency Selection
Parallel betweenness computation algorithms are proposed and implemented...
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02/20/2020
Graph Computing based Distributed State Estimation with PMUs
Power system state estimation plays a fundamental and critical role in t...
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09/26/2019
Communication-Constrained Routing and Traffic Control for Autonomous Vehicles
Autonomous vehicles (AV) is an advanced technology that can bring conven...
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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...
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04/28/2019
Enhancement of Power Equipment Management Using Knowledge Graph
Accurate retrieval of the power equipment information plays an important...
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04/08/2019
A High-Performance Energy Management System based on Evolving Graph
As the fast growth and large integration of distributed generation, rene...
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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...
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03/29/2019
Graph Computing based Fast Screening in Contingency Analysis
During last decades, contingency analysis has been facing challenges fro...
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03/20/2019
Substation One-Line Diagram Automatic Generation and Visualization
In Energy Management System (EMS) applications and many other off-line p...
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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...
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02/19/2019
Graph Computing based Distributed Fast Decoupled Power Flow Analysis
Power flow analysis plays a fundamental and critical role in the energy ...
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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...
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09/18/2018
Power Market Price Forecasting via Deep Learning
A study on power market price forecasting by deep learning is presented....
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09/18/2018
Unbalanced Three-Phase Distribution Grid Topology Estimation and Bus Phase Identification
There is an increasing need for monitoring and controlling uncertainties...
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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...
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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...
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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 ...
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04/03/2018
Graph based Platform for Electricity Market Study, Education and Training
With the further development of deregulated electricity market in many o...
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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...
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03/08/2018
Exploration of Graph Computing in Power System State Estimation
With the increased complexity of power systems due to the integration of...
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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...
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11/06/2016