activity
20192023
most citedHybrid Quantum-Classical Convolutional Neural Networks

295 citations · 383 across the 23 of their papers we have counts for

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Showing 2020Show all

9 papers · 1 filter

cs.SI2020

Urban Crowdsensing using Social Media: An Empirical Study on Transformer and Recurrent Neural Networks

Jerome Heng, Junhua Liu, Kwan Hui Lim

An important aspect of urban planning is understanding crowd levels at various locations, which typically require the use of physical sensors. Such sensors are potentially costly a…

cs.SI2020

Urban Heat Islands: Beating the Heat with Multi-Modal Spatial Analysis

Marcus Yong, Kwan Hui Lim

In today's highly urbanized environment, the Urban Heat Island (UHI) phenomenon is increasingly prevalent where surface temperatures in urbanized areas are found to be much higher…

cs.SI2020★ 4 cited

Understanding Public Sentiments, Opinions and Topics about COVID-19 using Twitter

Jolin Shaynn-Ly Kwan, Kwan Hui Lim

The COVID-19 pandemic has caused widespread devastation throughout the world. In addition to the health and economical impacts, there is an enormous emotional toll associated with…

cs.SI2020★ 1 cited

Mining Influentials and their Bot Activities on Twitter Campaigns

Shanika Karunasekera, Kwan Hui Lim, Aaron Harwood

Twitter is increasingly used for political, advertising and marketing campaigns, where the main aim is to influence users to support specific causes, individuals or groups. We prop…

cs.CL2020★ 31 cited

An Unsupervised Sentence Embedding Method by Mutual Information Maximization

Yan Zhang, Ruidan He, Zuozhu Liu +2

BERT is inefficient for sentence-pair tasks such as clustering or semantic search as it needs to evaluate combinatorially many sentence pairs which is very time-consuming. Sentence…

cs.SI2020

EPIC30M: An Epidemics Corpus Of Over 30 Million Relevant Tweets

Junhua Liu, Trisha Singhal, Lucienne T. M. Blessing +2

Since the start of COVID-19, several relevant corpora from various sources are presented in the literature that contain millions of data points. While these corpora are valuable in…

cs.CL2020★ 23 cited

CrisisBERT: a Robust Transformer for Crisis Classification and Contextual Crisis Embedding

Junhua Liu, Trisha Singhal, Lucienne T. M. Blessing +2

Classification of crisis events, such as natural disasters, terrorist attacks and pandemics, is a crucial task to create early signals and inform relevant parties for spontaneous a…

physics.ed-ph2020★ 18 cited

Self-Evolving Adaptive Learning for Personalized Education

Junhua Liu, Lionell Loh, Ernest Ng +3

Primary and secondary education is a crucial stage to build a strong foundation before diving deep into specialised subjects in colleges and universities. To excel in the current e…

cs.SI2020

A Large-scale Industrial and Professional Occupation Dataset

Junhua Liu, Yung Chuen Ng, Kwan Hui Lim

There has been growing interest in utilizing occupational data mining and analysis. In today's job market, occupational data mining and analysis is growing in importance as it enab…