2 citations · 5 across the 5 of their papers we have counts for
5 papers
Structure Learning for Hybrid Bayesian Networks
Wanchuang Zhu, Ngoc Lan Chi Nguyen
Bayesian networks have been used as a mechanism to represent the joint distribution of multiple random variables in a flexible yet interpretable manner. One major challenge in lear…
MANDERA: Malicious Node Detection in Federated Learning via Ranking
Wanchuang Zhu, Benjamin Zi Hao Zhao, Simon Luo +2
Byzantine attacks hinder the deployment of federated learning algorithms. Although we know that the benign gradients and Byzantine attacked gradients are distributed differently, t…
Partition-Mallows Model and Its Inference for Rank Aggregation
Wanchuang Zhu, Yingkai Jiang, Jun S. Liu +1
Learning how to aggregate ranking lists has been an active research area for many years and its advances have played a vital role in many applications ranging from bioinformatics t…
A novel approach for Markov Random Field with intractable normalising constant on large lattices
Wanchuang Zhu, Yanan Fan
The pseudo likelihood method of Besag(1974), has remained a popular method for estimating Markov random field on a very large lattice, despite various documented deficiencies. This…
Relabelling Algorithms for Large Dataset Mixture Models
Wanchuang Zhu, Yanan Fan
Mixture models are flexible tools in density estimation and classification problems. Bayesian estimation of such models typically relies on sampling from the posterior distribution…