34 citations · 40 across the 7 of their papers we have counts for
7 papers
Rényi Divergence Deep Mutual Learning
Weipeng Huang, Junjie Tao, Changbo Deng +4
This paper revisits Deep Mutual Learning (DML), a simple yet effective computing paradigm. We propose using Rényi divergence instead of the KL divergence, which is more flexible an…
Posterior Regularization on Bayesian Hierarchical Mixture Clustering
Weipeng Huang, Tin Lok James Ng, Nishma Laitonjam +1
Bayesian hierarchical mixture clustering (BHMC) improves traditionalBayesian hierarchical clustering by replacing conventional Gaussian-to-Gaussian kernels with a Hierarchical Diri…
BERT-Based Multi-Head Selection for Joint Entity-Relation Extraction
Weipeng Huang, Xingyi Cheng, Taifeng Wang +1
In this paper, we report our method for the Information Extraction task in 2019 Language and Intelligence Challenge. We incorporate BERT into the multi-head selection framework for…
Partially Observable Markov Decision Process Modelling for Assessing Hierarchies
Weipeng Huang, Guangyuan Piao, Raul Moreno +1
Hierarchical clustering has been shown to be valuable in many scenarios. Despite its usefulness to many situations, there is no agreed methodology on how to properly evaluate the h…
--means: A Robust and Stable -means Variant
Yiming Li, Yang Zhang, Qingtao Tang +3
-means algorithm is one of the most classical clustering methods, which has been widely and successfully used in signal processing. However, due to the thin-tailed property of t…
Inferring Hierarchical Mixture Structures: A Bayesian Nonparametric Approach
Weipeng Huang, Nishma Laitonjam, Guangyuan Piao +1
This paper focuses on the problem of hierarchical non-overlapping clustering of a dataset. In such a clustering, each data item is associated with exactly one leaf node and each in…
Toward Fast and Accurate Neural Chinese Word Segmentation with Multi-Criteria Learning
Weipeng Huang, Xingyi Cheng, Kunlong Chen +2
The ambiguous annotation criteria lead to divergence of Chinese Word Segmentation (CWS) datasets in various granularities. Multi-criteria Chinese word segmentation aims to capture…