Quan Minh Phan

According to our database, Quan Minh Phan authored at least 9 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Lightweight multi-objective evolutionary neural architecture search with low-cost proxy metrics.

Ngoc Hoang Luong, Quan Minh Phan, An Vo, Tan Ngoc Pham, Dzung Tri Bui

Inf. Sci., January, 2024

Parameter-less Pareto local search for multi-objective neural architecture search with the Interleaved Multi-start Scheme.

Quan Minh Phan, Ngoc Hoang Luong

Swarm Evol. Comput., 2024

Evaluating the Adversarial Robustness of Evolutionary Neural Architecture Search.

Quan Minh Phan, Hieu Trung Nguyen, Van Bich Nguyen, Ngoc Hoang Luong

Proceedings of the International Conference on Multimedia Analysis and Pattern Recognition, 2024

Efficient Multi-Fidelity Neural Architecture Search with Zero-Cost Proxy-Guided Local Search.

Quan Minh Phan, Ngoc Hoang Luong

Proceedings of the Genetic and Evolutionary Computation Conference, 2024

2023

Enhancing multi-objective evolutionary neural architecture search with training-free Pareto local search.

Quan Minh Phan, Ngoc Hoang Luong

Appl. Intell., April, 2023

Enhancing Training-Free Multi-Objective Pruning-Based Neural Architecture Search with Low-Cost Local Search.

Quan Minh Phan, Ngoc Hoang Luong

Proceedings of the International Conference on Computing and Communication Technologies, 2023

Pareto Local Search is Competitive with Evolutionary Algorithms for Multi-Objective Neural Architecture Search.

Quan Minh Phan, Ngoc Hoang Luong

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

2022

TF-MOPNAS: Training-free Multi-objective Pruning-Based Neural Architecture Search.

Quan Minh Phan, Ngoc Hoang Luong

Proceedings of the Computational Collective Intelligence - 14th International Conference, 2022

2021

Enhancing Multi-objective Evolutionary Neural Architecture Search with Surrogate Models and Potential Point-Guided Local Searches.

Quan Minh Phan, Ngoc Hoang Luong

Proceedings of the Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices, 2021