Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
Feature selection using genetic algorithm and Bayesian hyper-parameter optimization for LSTM in short-term load forecasting
Published in The International Conference on Intelligent Systems & Networks, 2021
This study proposes a nationwide electricity load forecasting model for Vietnam using LSTM with genetic algorithm-based feature selection and Bayesian optimization for hyperparameter tuning, achieving higher accuracy than existing models.
Author: Nguyen Nhat Anh, Quoc-Anh Hoang Nguyen, Nguyen Xuan Tung, Nguyen Thi Ngoc Anh
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High-Dimensional Bayesian Optimization via Random Projection of Manifold Subspaces
Published in Joint European Conference on Machine Learning and Knowledge Discovery in Databases, 2024
This paper proposes a geometry-aware, semi-supervised method for high-dimensional Bayesian Optimization that learns a low-dimensional latent manifold via neural networks, enabling efficient optimization and outperforming existing baselines.
Author: Quoc-Anh Hoang Nguyen, The Hung Tran
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Bayesian Optimization for Unknown Cost-Varying Variable Subsets with No-Regret Costs
Published in Proceedings of the AAAI Conference on Artificial Intelligence, 2025
We propose a new Bayesian Optimization algorithm that handles variable subsets with random and unknown costs, achieving sub-linear regret in both quality and cost, and outperforming baselines across benchmarks.
Author: Vu Viet Hoang*, Quoc-Anh Hoang Nguyen*, The Hung Tran*
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Designing Search Space for Unbounded Bayesian Optimization via Transfer Learning
Published in Joint European Conference on Machine Learning and Knowledge Discovery in Databases, 2025
This paper introduces a transfer-learning-based Bayesian Optimization algorithm that automatically designs promising search spaces without needing prior knowledge, overcomes restrictive assumptions, and outperforms state-of-the-art methods across benchmarks.
Author: Quoc-Anh Hoang Nguyen*, The Hung Tran*, Sunil Gupta, Dung D. Le
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.