78 citations · 173 across the 34 of their papers we have counts for
9 papers · 1 filter
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…
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…
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…
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…
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…
METEOR: Learning Memory and Time Efficient Representations from Multi-modal Data Streams
Amila Silva, Shanika Karunasekera, Christopher Leckie +1
Many learning tasks involve multi-modal data streams, where continuous data from different modes convey a comprehensive description about objects. A major challenge in this context…
OMBA: User-Guided Product Representations for Online Market Basket Analysis
Amila Silva, Ling Luo, Shanika Karunasekera +1
Market Basket Analysis (MBA) is a popular technique to identify associations between products, which is crucial for business decision making. Previous studies typically adopt conve…
USTAR: Online Multimodal Embedding for Modeling User-Guided Spatiotemporal Activity
Amila Silva, Shanika Karunasekera, Christopher Leckie +1
Building spatiotemporal activity models for people's activities in urban spaces is important for understanding the ever-increasing complexity of urban dynamics. With the emergence…