78 citations · 173 across the 34 of their papers we have counts for
35 papers
UrbanVerse: Learning Urban Region Representation Across Cities and Tasks
Fengze Sun, Egemen Tanin, Shanika Karunasekera +3
Recent advances in urban region representation learning have enabled a wide range of applications in urban analytics, yet existing methods remain limited in their capabilities to g…
Dynamic Configuration of On-Street Parking Spaces using Multi Agent Reinforcement Learning
Oshada Jayasinghe, Farhana Choudhury, Egemen Tanin +1
With increased travelling needs more than ever, traffic congestion has become a major concern in most urban areas. Allocating spaces for on-street parking, further hinders traffic…
Langformers: Unified NLP Pipelines for Language Models
Rabindra Lamsal, Maria Rodriguez Read, Shanika Karunasekera
Transformer-based language models have revolutionized the field of natural language processing (NLP). However, using these models often involves navigating multiple frameworks and…
FlexiReg: Flexible Urban Region Representation Learning
Fengze Sun, Yanchuan Chang, Egemen Tanin +2
The increasing availability of urban data offers new opportunities for learning region representations, which can be used as input to machine learning models for downstream tasks s…
Large Language Model Driven Agents for Simulating Echo Chamber Formation
Chenhao Gu, Ling Luo, Zainab Razia Zaidi +1
The rise of echo chambers on social media platforms has heightened concerns about polarization and the reinforcement of existing beliefs. Traditional approaches for simulating echo…
"Actionable Help" in Crises: A Novel Dataset and Resource-Efficient Models for Identifying Request and Offer Social Media Posts
Rabindra Lamsal, Maria Rodriguez Read, Shanika Karunasekera +1
During crises, social media serves as a crucial coordination tool, but the vast influx of posts--from "actionable" requests and offers to generic content like emotional support, be…
Identifying Coordinated Activities on Online Social Networks Using Contrast Pattern Mining
Isura Manchanayaka, Zainab Zaidi, Shanika Karunasekera +1
The proliferation of misinformation and disinformation on social media networks has become increasingly concerning. With a significant portion of the population using social media…
Using Causality to Infer Coordinated Attacks in Social Media
Isura Manchanayaka, Zainab Razia Zaidi, Shanika Karunasekera +1
The rise of social media has been accompanied by a dark side with the ease of creating fake accounts and disseminating misinformation through coordinated attacks. Existing methods…
CReMa: Crisis Response through Computational Identification and Matching of Cross-Lingual Requests and Offers Shared on Social Media
Rabindra Lamsal, Maria Rodriguez Read, Shanika Karunasekera +1
During times of crisis, social media platforms play a crucial role in facilitating communication and coordinating resources. In the midst of chaos and uncertainty, communities ofte…
Semantically Enriched Cross-Lingual Sentence Embeddings for Crisis-related Social Media Texts
Rabindra Lamsal, Maria Rodriguez Read, Shanika Karunasekera
Tasks such as semantic search and clustering on crisis-related social media texts enhance our comprehension of crisis discourse, aiding decision-making and targeted interventions.…
Urban Region Representation Learning with Attentive Fusion
Fengze Sun, Jianzhong Qi, Yanchuan Chang +3
An increasing number of related urban data sources have brought forth novel opportunities for learning urban region representations, i.e., embeddings. The embeddings describe laten…
CrisisTransformers: Pre-trained language models and sentence encoders for crisis-related social media texts
Rabindra Lamsal, Maria Rodriguez Read, Shanika Karunasekera
Social media platforms play an essential role in crisis communication, but analyzing crisis-related social media texts is challenging due to their informal nature. Transformer-base…
A Deep Reinforcement Learning based Algorithm for Time and Cost Optimized Scaling of Serverless Applications
Anupama Mampage, Shanika Karunasekera, Rajkumar Buyya
Serverless computing has gained a strong traction in the cloud computing community in recent years. Among the many benefits of this novel computing model, the rapid auto-scaling ca…
To be a pro-vax or not, the COVID-19 vaccine conundrum on Twitter
Zainab Zaidi, Mengbin Ye, Shanika Karunasekera +1
The most surprising observation reported by the study in (arXiv:2208.13523), involving stance detection of COVID-19 vaccine related tweets during the first year of pandemic, is the…
Unsupervised Domain-agnostic Fake News Detection using Multi-modal Weak Signals
Amila Silva, Ling Luo, Shanika Karunasekera +1
The emergence of social media as one of the main platforms for people to access news has enabled the wide dissemination of fake news. This has motivated numerous studies on automat…
A Twitter narrative of the COVID-19 pandemic in Australia
Rabindra Lamsal, Maria Rodriguez Read, Shanika Karunasekera
Social media platforms contain abundant data that can provide comprehensive knowledge of historical and real-time events. During crisis events, the use of social media peaks, as pe…
BillionCOV: An Enriched Billion-scale Collection of COVID-19 tweets for Efficient Hydration
Rabindra Lamsal, Maria Rodriguez Read, Shanika Karunasekera
The COVID-19 pandemic introduced new norms such as social distancing, face masks, quarantine, lockdowns, travel restrictions, work/study from home, and business closures, to name a…
Demystifying the COVID-19 vaccine discourse on Twitter
Zainab Zaidi, Mengbin Ye, Fergus John Samon +6
Developing an understanding of the public discourse on COVID-19 vaccination on social media is important not only for addressing the current COVID-19 pandemic, but also for future…
Intelligent Autonomous Intersection Management
Udesh Gunarathna, Shanika Karunasekara, Renata Borovica-Gajic +1
Connected Autonomous Vehicles will make autonomous intersection management a reality replacing traditional traffic signal control. Autonomous intersection management requires time…
Solving Dynamic Graph Problems with Multi-Attention Deep Reinforcement Learning
Udesh Gunarathna, Renata Borovica-Gajic, Shanika Karunasekara +1
Graph problems such as traveling salesman problem, or finding minimal Steiner trees are widely studied and used in data engineering and computer science. Typically, in real-world a…
Knowledge Enhanced Multi-modal Fake News Detection
Yi Han, Amila Silva, Ling Luo +2
Recent years have witnessed the significant damage caused by various types of fake news. Although considerable effort has been applied to address this issue and much progress has b…
Real-time Spatio-temporal Event Detection on Geotagged Social Media
Yasmeen George, Shanika Karunasekera, Aaron Harwood +1
A key challenge in mining social media data streams is to identify events which are actively discussed by a group of people in a specific local or global area. Such events are usef…
A Holistic View on Resource Management in Serverless Computing Environments: Taxonomy and Future Directions
Anupama Mampage, Shanika Karunasekera, Rajkumar Buyya
Serverless computing has emerged as an attractive deployment option for cloud applications in recent times. The unique features of this computing model include, rapid auto-scaling,…
Embracing Domain Differences in Fake News: Cross-domain Fake News Detection using Multi-modal Data
Amila Silva, Ling Luo, Shanika Karunasekera +1
With the rapid evolution of social media, fake news has become a significant social problem, which cannot be addressed in a timely manner using manual investigation. This has motiv…