activity
20222024
most citedAutomatic Classification of Bug Reports Based on Multiple Text Information and Reports' Intention

5 citations · 11 across the 10 of their papers we have counts for

collaborators

10 papers

cs.LG2024

Deep Learning-Based Electricity Price Forecast for Virtual Bidding in Wholesale Electricity Market

Xuesong Wang, Sharaf K. Magableh, Oraib Dawaghreh +4

Virtual bidding plays an important role in two-settlement electric power markets, as it can reduce discrepancies between day-ahead and real-time markets. Renewable energy penetrati…

eess.SY2024

Graph-based Simulation Framework for Power Resilience Estimation and Enhancement

Xuesong Wang, Shuo Yuan, Sharaf K. Magableh +3

The increasing frequency of extreme weather events poses significant risks to power distribution systems, leading to widespread outages and severe economic and social consequences.…

cs.CV2024

Video Frame Interpolation for Polarization via Swin-Transformer

Feng Huang, Xin Zhang, Yixuan Xu +2

Video Frame Interpolation (VFI) has been extensively explored and demonstrated, yet its application to polarization remains largely unexplored. Due to the selective transmission of…

eess.SY2024

Research on material identification of mobile phones falling to the ground

Xuesong Wang

The failure mode of the phone falling has a lot to do with the ground material. At present, the research on ground material and mobile phone damage is generally carried out through…

cs.LG20241 cited

Deep Learning-Based Weather-Related Power Outage Prediction with Socio-Economic and Power Infrastructure Data

Xuesong Wang, Nina Fatehi, Caisheng Wang +1

This paper presents a deep learning-based approach for hourly power outage probability prediction within census tracts encompassing a utility company's service territory. Two disti…

cs.CL2024

Active Learning for NLP with Large Language Models

Xuesong Wang

Human annotation of training samples is expensive, laborious, and sometimes challenging, especially for Natural Language Processing (NLP) tasks. To reduce the labeling cost and enh…