Weipéng Huáng

Publication Activity (10 Years)

Years Active: 2016-2021
Publications (10 Years): 11

Top Topics

Markov Decision Process

Hierarchical Clustering

Partially Observable Markov Decision Process

Hierarchical Dirichlet Processes

Top Venues

Publications

Weipéng Huáng, Tin Lok James Ng, Nishma Laitonjam, Neil J. Hurley
Posterior Regularisation on Bayesian Hierarchical Mixture Clustering. CoRR (2021)
Guangyuan Piao, Weipéng Huáng
Learning to Predict the Departure Dynamics of Wikidata Editors. ISWC (2021)
Weipéng Huáng, Nishma Laitonjam, Guangyuan Piao, Neil J. Hurley
Inferring Hierarchical Mixture Structures: A Bayesian Nonparametric Approach. PAKDD (3) (2021)
Erika Duriakova, Weipéng Huáng, Elias Z. Tragos, Aonghus Lawlor, Barry Smyth, James Geraci, Neil Hurley
An Algorithmic Framework for Decentralised Matrix Factorisation. ECML/PKDD (2) (2020)
Nishma Laitonjam, Weipéng Huáng, Neil J. Hurley
Scalable Inference on the Soft Affiliation Graph Model for Overlapping Community Detection. ACML (2020)
Weipéng Huáng, Guangyuan Piao, Raúl Moreno, Neil Hurley
Partially Observable Markov Decision Process Modelling for Assessing Hierarchies. ACML (2020)
Nishma Laitonjam, Weipéng Huáng, Neil J. Hurley
A Soft Affiliation Graph Model for Scalable Overlapping Community Detection. ECML/PKDD (1) (2019)
Weipéng Huáng, Nishma Laitonjam, Guangyuan Piao, Neil Hurley
Bayesian Hierarchical Mixture Clustering using Multilevel Hierarchical Dirichlet Processes. CoRR (2019)
Weipéng Huáng, Guangyuan Piao, Raúl Moreno, Neil J. Hurley
Evaluating Hierarchies through A Partially Observable Markov Decision Processes Methodology. CoRR (2019)
Raúl Moreno, Weipéng Huáng, Arjumand Younus, Michael P. O'Mahony, Neil J. Hurley
Evaluation of Hierarchical Clustering via Markov Decision Processes for Efficient Navigation and Search. CLEF (2017)
Weipéng Huáng, Gregory M. Provan
An Improved State Filter Algorithm for SIR Epidemic Forecasting. ECAI (2016)