Ngoc Hoang Luong

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 47

Top Topics

Neural Architecture

Guided Local Search

Top Venues

Swarm Evol. Comput.

Publications

Ngoc Hoang Luong, Quan Minh Phan, An Vo, Tan Ngoc Pham, Dzung Tri Bui
Lightweight multi-objective evolutionary neural architecture search with low-cost proxy metrics. Inf. Sci. 655 (2024)
Quan Minh Phan, Ngoc Hoang Luong
Parameter-less Pareto local search for multi-objective neural architecture search with the Interleaved Multi-start Scheme. Swarm Evol. Comput. 87 (2024)
Tri Phan, Khang Tran, Ngoc Hoang Luong
Combining Adaptive Large Neighborhood Search with Guided Ejection Search for Real-World Multiple-Vehicle Pickup and Delivery Problem with Time Windows. GECCO Companion (2024)
Quan Minh Phan, Ngoc Hoang Luong
Efficient Multi-Fidelity Neural Architecture Search with Zero-Cost Proxy-Guided Local Search. GECCO (2024)
Nhat Minh Le, An Vo, Ngoc Hoang Luong
Zero-Cost Proxy-Based Hierarchical Initialization for Evolutionary Neural Architecture Search. CEC (2024)
An Vo, Ngoc Hoang Luong
Efficient Multi-Objective Neural Architecture Search via Pareto Dominance-based Novelty Search. GECCO (2024)
Thai Bao Tran, Ngoc Hoang Luong
On the Investigation of Multimodal Evolutionary Algorithms Using Search Trajectory Networks. GECCO (2024)
An Vo, Ngoc Hoang Luong
Efficient Multi-Objective Neural Architecture Search via Pareto Dominance-based Novelty Search. CoRR (2024)
Tran Hai Thanh, Long Doan, Ngoc Hoang Luong, Huynh Thi Thanh Binh
THNAS-GA: A Genetic Algorithm for Training-free Hardware-aware Neural Architecture Search. GECCO (2024)
Thai Bao Tran, Ngoc Hoang Luong
Evolutionary Deep Reinforcement Learning via Hybridizing Estimation-of-Distribution Algorithms with Policy Gradients. CEC (2024)
Minh Le, Nhan Nguyen, Ngoc Hoang Luong
Efficacy of Neural Prediction-Based NAS for Zero-Shot NAS Paradigm. CoRR (2023)
Khoi Dinh Tran, Dat Viet Bui, Ngoc Hoang Luong
Evolving Prompts for Synthetic Image Generation with Genetic Algorithm. MAPR (2023)
An Vo, Tan Ngoc Pham, Van Bich Nguyen, Ngoc Hoang Luong
Lightweight Multi-Objective and Many-Objective Problem Formulations for Evolutionary Neural Architecture Search with the Training-Free Performance Metric Synaptic Flow. Informatica (Slovenia) 47 (3) (2023)
Vu Huynh, The Viet Le, Ngoc Hoang Luong
Self-Adaptive Ant System with Hierarchical Clustering for the Thief Orienteering Problem. SoICT (2023)
Khoa Huu Tran, Luc Truong, An Vo, Ngoc Hoang Luong
Accelerating Gene-pool Optimal Mixing Evolutionary Algorithm for Neural Architecture Search with Synaptic Flow. GECCO Companion (2023)
Hoang Nguyen, Nam Le, Khang Tran, Ngoc Hoang Luong
Simulated Annealing with Dynamic Programming-based Vertex Insertion for Efficiently Solving the Traveling Thief Problem. SoICT (2023)
Truong Do, Ngoc Hoang Luong
Bias-free Trading Algorithms with Momentum Scores for the Vietnamese Stock Market. SoICT (2023)
Doan Thai Binh Phan, Phuoc Vinh Linh Le, Ngoc Hoang Luong, Tahar Kechadi, Hung Q. Ngo
Domain Adaptation in Nested Named Entity Recognition From Scientific Articles in Agriculture. SoICT (2023)
Thai Huy Nguyen, Ngoc Hoang Luong
Understanding the Role of Population Experiences in Proximal Distilled Evolutionary Reinforcement Learning. SoICT (2023)
Quan Minh Phan, Ngoc Hoang Luong
Enhancing Training-Free Multi-Objective Pruning-Based Neural Architecture Search with Low-Cost Local Search. RIVF (2023)
Quan Minh Phan, Ngoc Hoang Luong
Enhancing multi-objective evolutionary neural architecture search with training-free Pareto local search. Appl. Intell. 53 (8) (2023)
Hai-Long Tran, Long Doan, Ngoc Hoang Luong, Huynh Thi Thanh Binh
A Two-Stage Multi-Objective Evolutionary Reinforcement Learning Framework for Continuous Robot Control. GECCO (2023)
Thai Huy Nguyen, Ngoc Hoang Luong
Stable and Sample-Efficient Policy Search for Continuous Control via Hybridizing Phenotypic Evolutionary Algorithm with the Double Actors Regularized Critics. GECCO (2023)
Quan Minh Phan, Ngoc Hoang Luong
Pareto Local Search is Competitive with Evolutionary Algorithms for Multi-Objective Neural Architecture Search. GECCO (2023)
Huy M. Le, Vy T. Luong, Ngoc Hoang Luong
Data Augmentation with Large Language Models for Vietnamese Abstractive Text Summarization. MAPR (2023)
Hieu-Hien Mai, Ngoc Hoang Luong
Data Augmentation with GPT-3.5 for Vietnamese Natural Language Inference. RIVF (2023)
Long Doan, Hieu Le, Huy Dang, Long Tran, Dao Long, Hai Minh Nguyen, Hanh Pham, Nam Nguyen, Ngoc Hoang Luong, Huynh Thi Thanh Binh
TF-GeneNAS: An evolution-based training-free approach to Neural Architecture Search. IJCNN (2022)
An Vo, Tan Ngoc Pham, Van Bich Nguyen, Ngoc Hoang Luong
Training-Free Multi-Objective and Many-Objective Evolutionary Neural Architecture Search with Synaptic Flow. SoICT (2022)
Thai Bao Tran, Ngoc Hoang Luong
Benchmarking Gradient Estimation Mechanisms in Evolution Strategies for Solving Black-Box Optimization Functions and Reinforcement Learning Problems. SoICT (2022)
Hieu Trung Nguyen, Khang Tran, Ngoc Hoang Luong
Combining Soft-Actor Critic with Cross-Entropy Method for Policy Search in Continuous Control. CEC (2022)
Quan Minh Phan, Ngoc Hoang Luong
TF-MOPNAS: Training-free Multi-objective Pruning-Based Neural Architecture Search. ICCCI (2022)
Arthur Guijt, Ngoc Hoang Luong, Peter A. N. Bosman, Mathijs de Weerdt
On the impact of linkage learning, gene-pool optimal mixing, and non-redundant encoding on permutation optimization. Swarm Evol. Comput. 70 (2022)
Michal Witold Przewozniczek, Marcin M. Komarnicki, Peter A. N. Bosman, Dirk Thierens, Bartosz Frej, Ngoc Hoang Luong
Hybrid linkage learning for permutation optimization with Gene-pool optimal mixing evolutionary algorithms. GECCO Companion (2021)
Quan Minh Phan, Ngoc Hoang Luong
Enhancing Multi-objective Evolutionary Neural Architecture Search with Surrogate Models and Potential Point-Guided Local Searches. IEA/AIE (1) (2021)
Tu Do, Ngoc Hoang Luong
Insightful and Practical Multi-objective Convolutional Neural Network Architecture Search with Evolutionary Algorithms. IEA/AIE (1) (2021)
Tu Do, Ngoc Hoang Luong
Training-Free Multi-objective Evolutionary Neural Architecture Search via Neural Tangent Kernel and Number of Linear Regions. ICONIP (2) (2021)
Quoc Thai Nguyen, Thoai Linh Nguyen, Ngoc Hoang Luong, Quoc Hung Ngo
Fine-Tuning BERT for Sentiment Analysis of Vietnamese Reviews. CoRR (2020)
Ngoc Hoang Luong, Tanja Alderliesten, Bradley R. Pieters, Arjan Bel, Yury Niatsetski, Peter A. N. Bosman
Fast and insightful bi-objective optimization for prostate cancer treatment planning with high-dose-rate brachytherapy. Appl. Soft Comput. 84 (2019)
Ngoc Hoang Luong, Han La Poutré, Peter A. N. Bosman
Multi-objective Gene-pool Optimal Mixing Evolutionary Algorithm with the Interleaved Multi-start Scheme. Swarm Evol. Comput. 40 (2018)
Ngoc Hoang Luong, Tanja Alderliesten, Peter A. N. Bosnian
Improving the performance of MO-RV-GOMEA on problems with many objectives using tchebycheff scalarizations. GECCO (2018)
Ngoc Hoang Luong, Han La Poutré, Peter A. N. Bosman
Exploiting Linkage Information and Problem-Specific Knowledge in Evolutionary Distribution Network Expansion Planning. Evol. Comput. 26 (3) (2018)
Ngoc Hoang Luong, Tanja Alderliesten, Arjan Bel, Yury Niatsetski, Peter A. N. Bosman
Application and benchmarking of multi-objective evolutionary algorithms on high-dose-rate brachytherapy planning for prostate cancer treatment. Swarm Evol. Comput. 40 (2018)
G. H. Aalvanger, Ngoc Hoang Luong, Peter A. N. Bosman, Dirk Thierens
Heuristics in Permutation GOMEA for Solving the Permutation Flowshop Scheduling Problem. PPSN (1) (2018)
Ngoc Hoang Luong, Anton Bouter, Marjolein C. van der Meer, Yury Niatsetski, Cees Witteveen, Arjan Bel, Tanja Alderliesten, Peter A. N. Bosman
Efficient, effective, and insightful tackling of the high-dose-rate brachytherapy treatment planning problem for prostate cancer using evolutionary multi-objective optimization algorithms. GECCO (Companion) (2017)
Krzysztof L. Sadowski, Marjolein C. van der Meer, Ngoc Hoang Luong, Tanja Alderliesten, Dirk Thierens, Rob van der Laarse, Yury Niatsetski, Arjan Bel, Peter A. N. Bosman
Exploring trade-offs between target coverage, healthy tissue sparing, and the placement of catheters in HDR brachytherapy for prostate cancer using a novel multi-objective model-based mixed-integer evolutionary algorithm. GECCO (2017)
Anton Bouter, Ngoc Hoang Luong, Cees Witteveen, Tanja Alderliesten, Peter A. N. Bosman
The multi-objective real-valued gene-pool optimal mixing evolutionary algorithm. GECCO (2017)
Peter A. N. Bosman, Ngoc Hoang Luong, Dirk Thierens
Expanding from Discrete Cartesian to Permutation Gene-pool Optimal Mixing Evolutionary Algorithms. GECCO (2016)
Ngoc Hoang Luong, Han La Poutré, Peter A. N. Bosman
Exploiting Linkage Information and Problem-Specific Knowledge in Evolutionary Distribution Network Expansion Planning. GECCO (2015)
Ngoc Hoang Luong, Han La Poutré, Peter A. N. Bosman
Multi-objective gene-pool optimal mixing evolutionary algorithms. GECCO (2014)
Ngoc Hoang Luong, Marinus O. W. Grond, Han La Poutré, Peter A. N. Bosman
Efficiency enhancements for evolutionary capacity planning in distribution grids. GECCO (Companion) (2014)
Marinus O. W. Grond, Ngoc Hoang Luong, Johan Morren, Peter A. N. Bosman, Han Slootweg, Han La Poutré
Practice-oriented optimization of distribution network planning using metaheuristic algorithms. PSCC (2014)
Ngoc Hoang Luong, Hai Thanh Thi Nguyen, Chang Wook Ahn
Entropy-based efficiency enhancement techniques for evolutionary algorithms. Inf. Sci. 188 (2012)