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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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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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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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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
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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