activity
20182022
most citedA Survey of Algorithms for Distributed Charging Control of Electric Vehicles in Smart Grid

266 citations · 452 across the 4 of their papers we have counts for

collaborators

6 papers

eess.SP20221 cited

A machine learning accelerated inverse design of underwater acoustic polyurethane coatings with cylindrical voids

Hansani Weeratunge, Zakiya Shireen, Sagar Iyer +5

Here, we report the development of a detailed "Materials Informatics" framework for the design of acoustic coatings for underwater sound attenuation through integrating Machine Lea…

eess.SY2020172 cited

An Incentive-compatible Energy Trading Framework for Neighborhood Area Networks with Shared Energy Storage

Chathurika P. Mediwaththe, Marnie Shaw, Saman Halgamuge +2

Here, a novel energy trading system is proposed for demand-side management of a neighborhood area network (NAN) consisting of a shared energy storage (SES) provider, users with non…

cs.CV2019

Self Organizing Nebulous Growths for Robust and Incremental Data Visualization

Damith Senanayake, Wei Wang, Shalin H. Naik +1

Non-parametric dimensionality reduction techniques, such as t-SNE and UMAP, are proficient in providing visualizations for datasets of fixed sizes. However, they cannot incremental…

eess.SY2019266 cited

A Survey of Algorithms for Distributed Charging Control of Electric Vehicles in Smart Grid

Nanduni I. Nimalsiri, Chathurika P. Mediwaththe, Elizabeth L. Ratnam +3

Electric vehicles (EVs) are an eco-friendly alternative to vehicles with internal combustion engines. Despite their environmental benefits, the massive electricity demand imposed b…

cs.NI201913 cited

The Fast Heuristic Algorithms and Post-Processing Techniques to Design Large and Low-Cost Communication Networks

Yahui Sun, Marcus Brazil, Doreen Thomas +1

It is challenging to design large and low-cost communication networks. In this paper, we formulate this challenge as the prize-collecting Steiner Tree Problem (PCSTP). The objectiv…

cs.LG2018

Improving MMD-GAN Training with Repulsive Loss Function

Wei Wang, Yuan Sun, Saman Halgamuge

Generative adversarial nets (GANs) are widely used to learn the data sampling process and their performance may heavily depend on the loss functions, given a limited computational…