Publications (9)
Noise-robust classification with hypergraph neural network
Nguyen Trinh Vu Dang, Loc Tran, Linh Tran
This paper presents a novel version of the hypergraph neural network method. This method is utilized to solve the noisy label learning problem. First, we apply the PCA dimensional…
Search and Rescue under the Forest Canopy using Multiple UAVs
Yulun Tian, Katherine Liu, Kyel Ok +4
We present a multi-robot system for GPS-denied search and rescue under the forest canopy. Forests are particularly challenging environments for collaborative exploration and mappin…
Approximate cloaking for electromagnetic waves via transformation optics: cloaking vs infinite energy
Hoai-Minh Nguyen, Loc Tran
We study the approximate cloaking via transformation optics for electromagnetic waves in the time harmonic regime in which the cloaking device {\it only} consists of a layer constr…
Hypergraph and protein function prediction with gene expression data
Loc Tran
Most network-based protein (or gene) function prediction methods are based on the assumption that the labels of two adjacent proteins in the network are likely to be the same. Howe…
PageRank algorithm for Directed Hypergraph
Loc Tran, Tho Quan, An Mai
During the last two decades, we easilly see that the World Wide Web's link structure is modeled as the directed graph. In this paper, we will model the World Wide Web's link struct…
Approximate cloaking for time-dependent Maxwell equations via transformation optics
Hoai-Minh Nguyen, Loc Tran
We study approximate cloaking using transformation optics for electromagnetic waves in the time domain. Our approach is based on estimates of the degree of visibility in the freque…
Solve fraud detection problem by using graph based learning methods
Loc Tran, Tuan Tran, Linh Tran +1
The credit cards' fraud transactions detection is the important problem in machine learning field. To detect the credit cards's fraud transactions help reduce the significant loss…
To Detect Irregular Trade Behaviors In Stock Market By Using Graph Based Ranking Methods
Loc Tran, Linh Tran
To detect the irregular trade behaviors in the stock market is the important problem in machine learning field. These irregular trade behaviors are obviously illegal. To detect the…
Application of three graph Laplacian based semi-supervised learning methods to protein function prediction problem
Loc Tran
Protein function prediction is the important problem in modern biology. In this paper, the un-normalized, symmetric normalized, and random walk graph Laplacian based semi-supervise…