56 citations · 60 across the 3 of their papers we have counts for
5 papers
Contact Graph Epidemic Modelling of COVID-19 for Transmission and Intervention Strategies
Abby Leung, Xiaoye Ding, Shenyang Huang +1
The coronavirus disease 2019 (COVID-19) pandemic has quickly become a global public health crisis unseen in recent years. It is known that the structure of the human contact networ…
Incorporating Dynamic Flight Network in SEIR to Model Mobility between Populations
Xiaoye Ding, Shenyang Huang, Abby Leung +1
Current efforts of modelling COVID-19 are often based on the standard compartmental models such as SEIR and their variations. As pre-symptomatic and asymptomatic cases can spread t…
Laplacian Change Point Detection for Dynamic Graphs
Shenyang Huang, Yasmeen Hitti, Guillaume Rabusseau +1
Dynamic and temporal graphs are rich data structures that are used to model complex relationships between entities over time. In particular, anomaly detection in temporal graphs is…
RandomNet: Towards Fully Automatic Neural Architecture Design for Multimodal Learning
Stefano Alletto, Shenyang Huang, Vincent Francois-Lavet +2
Almost all neural architecture search methods are evaluated in terms of performance (i.e. test accuracy) of the model structures that it finds. Should it be the only metric for a g…
Neural Architecture Search for Class-incremental Learning
Shenyang Huang, Vincent François-Lavet, Guillaume Rabusseau
In class-incremental learning, a model learns continuously from a sequential data stream in which new classes occur. Existing methods often rely on static architectures that are ma…