Quang Huy Ung

Orcid: 0000-0001-9238-8601

According to our database1, Quang Huy Ung authored at least 12 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Links

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Bibliography

2024
Deep-Wide Learning Assistance for Insect Pest Classification.
CoRR, 2024

2022
An Efficient Insect Pest Classification Using Multiple Convolutional Neural Network Based Models.
Proceedings of the New Trends in Intelligent Software Methodologies, Tools and Techniques, 2022

2021
Clustering online handwritten mathematical expressions.
Pattern Recognit. Lett., 2021

Clustering of Handwritten Mathematical Expressions for Computer-Assisted Marking.
IEICE Trans. Inf. Syst., 2021

An Efficient Insect Pest Classification Using Multiple Convolutional Neural Network Based Models.
CoRR, 2021

A Transformer-Based Math Language Model for Handwritten Math Expression Recognition.
Proceedings of the Document Analysis and Recognition, 2021

GSSF: A Generative Sequence Similarity Function Based on a Seq2Seq Model for Clustering Online Handwritten Mathematical Answers.
Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021

Relation-Based Representation for Handwritten Mathematical Expression Recognition.
Proceedings of the Document Analysis and Recognition, 2021

2020
Online Handwritten Mathematical Symbol Segmentation and Recognition with Bidirectional Context.
Proceedings of the 17th International Conference on Frontiers in Handwriting Recognition, 2020

2019
Strategy and Tools for Collecting and Annotating Handwritten Descriptive Answers for Developing Automatic and Semi-Automatic Marking - An Initial Effort to Math.
Proceedings of the 2nd International Workshop on Open Services and Tools for Document Analysis, 2019

Generating Synthetic Handwritten Mathematical Expressions from a LaTeX Sequence or a MathML Script.
Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

2017
3D-Brain Segmentation Using Deep Neural Network and Gaussian Mixture Model.
Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017


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