3 citations · 6 across the 10 of their papers we have counts for
10 papers
mRNA2vec: mRNA Embedding with Language Model in the 5'UTR-CDS for mRNA Design
Honggen Zhang, Xiangrui Gao, June Zhang +1
Messenger RNA (mRNA)-based vaccines are accelerating the discovery of new drugs and revolutionizing the pharmaceutical industry. However, selecting particular mRNA sequences for va…
Out-of-Distribution Detection using Maximum Entropy Coding
Mojtaba Abolfazli, Mohammad Zaeri Amirani, Anders Høst-Madsen +2
Given a default distribution and a set of test data this paper seeks to answer the question if it was likely that was generated by . For d…
HaSa: Hardness and Structure-Aware Contrastive Knowledge Graph Embedding
Honggen Zhang, June Zhang, Igor Molybog
We consider a contrastive learning approach to knowledge graph embedding (KGE) via InfoNCE. For KGE, efficient learning relies on augmenting the training data with negative triples…
Out-of-Distribution Detection using BiGAN and MDL
Mojtaba Abolfazli, Mohammad Zaeri Arimani, Anders Host-Madsen +2
We consider the following problem: we have a large dataset of normal data available. We are now given a new, possibly quite small, set of data, and we are to decide if these are no…
How News Evolves? Modeling News Text and Coverage using Graphs and Hawkes Process
Honggen Zhang, June Zhang
Monitoring news content automatically is an important problem. The news content, unlike traditional text, has a temporal component. However, few works have explored the combination…
Graph Compression with Application to Model Selection
Mojtaba Abolfazli, Anders Host-Madsen, June Zhang +1
Many multivariate data such as social and biological data exhibit complex dependencies that are best characterized by graphs. Unlike sequential data, graphs are, in general, unorde…
Graph Coding for Model Selection and Anomaly Detection in Gaussian Graphical Models
Mojtaba Abolfazli, Anders Host-Madsen, June Zhang +1
A classic application of description length is for model selection with the minimum description length (MDL) principle. The focus of this paper is to extend description length for…
Differential Description Length for Hyperparameter Selection in Machine Learning
Mojtaba Abolfazli, Anders Host-Madsen, June Zhang
This paper introduces a new method for model selection and more generally hyperparameter selection in machine learning. Minimum description length (MDL) is an established method fo…
Coding of Graphs with Application to Graph Anomaly Detection
Anders Host-Madsen, June Zhang
This paper has dual aims. First is to develop practical universal coding methods for unlabeled graphs. Second is to use these for graph anomaly detection. The paper develops two co…
Cascading Edge Failures: A Dynamic Network Process
June Zhang, José M. F. Moura
This paper considers the dynamics of edges in a network. The Dynamic Bond Percolation (DBP) process models, through stochastic local rules, the dependence of an edge in a n…