Weipéng Huáng

16 papers A 1C 2Misc 2Journal 6Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Correcting Noisy Multilabel Predictions: Modeling Label Noise through Latent Space Shifts.
CoRR
Weipéng Huáng, Qin Li, Yang Xiao, Cheng Qiao, Tie Cai, Junwei Liao, Neil J. Hurley, Guangyuan Piao
2025 — conf
Enhancing Text-Based Hierarchical Multilabel Classification for Mobile Applications via Contrastive Learning.
KDD (2)
Jiawei Guo, Yang Xiao, Weipéng Huáng, Guangyuan Piao
2025 J jnl
Enhancing Text-Based Hierarchical Multilabel Classification for Mobile Applications via Contrastive Learning.
CoRR
Jiawei Guo, Yang Xiao, Weipéng Huáng, Guangyuan Piao
2021 — conf
Inferring Hierarchical Mixture Structures: A Bayesian Nonparametric Approach.
PAKDD (3)
Weipéng Huáng, Nishma Laitonjam, Guangyuan Piao, Neil J. Hurley
2021 Misc conf
Learning to Predict the Departure Dynamics of Wikidata Editors.
ISWC
Guangyuan Piao, Weipéng Huáng
2021 J jnl
Posterior Regularisation on Bayesian Hierarchical Mixture Clustering.
CoRR
Weipéng Huáng, Tin Lok James Ng, Nishma Laitonjam, Neil J. Hurley
2021 Misc conf
t-k-means: A ROBUST AND STABLE k-means VARIANT.
ICASSP
Yiming Li, Yang Zhang, Qingtao Tang, Weipéng Huáng, Yong Jiang, Shu-Tao Xia
2020 — conf
An Algorithmic Framework for Decentralised Matrix Factorisation.
ECML/PKDD (2)
Erika Duriakova, Weipéng Huáng, Elias Z. Tragos, Aonghus Lawlor, Barry Smyth, James Geraci, Neil Hurley
2020 C conf
Partially Observable Markov Decision Process Modelling for Assessing Hierarchies.
ACML
Weipéng Huáng, Guangyuan Piao, Raúl Moreno, Neil Hurley
2020 C conf
Scalable Inference on the Soft Affiliation Graph Model for Overlapping Community Detection.
ACML
Nishma Laitonjam, Weipéng Huáng, Neil J. Hurley
2019 — conf
A Soft Affiliation Graph Model for Scalable Overlapping Community Detection.
ECML/PKDD (1)
Nishma Laitonjam, Weipéng Huáng, Neil J. Hurley
2019 J jnl
Bayesian Hierarchical Mixture Clustering using Multilevel Hierarchical Dirichlet Processes.
CoRR
Weipéng Huáng, Nishma Laitonjam, Guangyuan Piao, Neil Hurley
2019 J jnl
Evaluating Hierarchies through A Partially Observable Markov Decision Processes Methodology.
CoRR
Weipéng Huáng, Guangyuan Piao, Raúl Moreno, Neil J. Hurley
2019 J jnl
t-k-means: A k-means Variant with Robustness and Stability.
CoRR
Yang Zhang, Qingtao Tang, Yiming Li, Weipéng Huáng, Shutao Xia
2017 — conf
Evaluation of Hierarchical Clustering via Markov Decision Processes for Efficient Navigation and Search.
CLEF
Raúl Moreno, Weipéng Huáng, Arjumand Younus, Michael P. O'Mahony, Neil J. Hurley
2016 A conf
An Improved State Filter Algorithm for SIR Epidemic Forecasting.
ECAI
Weipéng Huáng, Gregory M. Provan