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Compressing Fully Connected Layers using Kronecker Tensor Decomposition
Published in IEEE International Conference on Computer Science and Network Technology (ICCSNT), 2019
Recommended citation: S. Chen, W. Sun, L. Huang, X. Yang, and J. Huang, “Compressing fully connected layers using Kronecker tensor decomposition,” in 2019 IEEE 7th International Conference on Computer Science and Network Technology (ICCSNT), Dalian, China, 2019.
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Deep Compression with Low Rank and Sparse Integrated Decomposition
Published in IEEE International Conference on Computer Science and Network Technology (ICCSNT), 2019
Recommended citation: J. Huang, W. Sun, L. Huang, and S. Chen, “Deep compression with low rank and sparse integrated decomposition,” in 2019 IEEE 7th International Conference on Computer Science and Network Technology (ICCSNT), Dalian, China, 2019, pp. 289–292.
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Deep Neural Networks Compression Learning Based on Multiobjective Evolutionary Algorithms
Published in Neurocomputing, 2020
Recommended citation: J. Huang, W. Sun, and L. Huang, “Deep neural networks compression learning based on multiobjective evolutionary algorithms,” Neurocomputing, vol. 378, pp. 260–269, 2020.
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Joint Structure and Parameter Optimization of Multiobjective Sparse Neural Network
Published in Neural Computation, 2021
Recommended citation: J. Huang, W. Sun, and L. Huang, “Joint structure and parameter optimization of multiobjective sparse neural network,” Neural Computation, vol. 33, no. 4, pp. 1113–1143, 2021.
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A Flexible Variable-length Particle Swarm Optimization Approach to Convolutional Neural Network Architecture Design
Published in IEEE Congress on Evolutionary Computation (CEC), 2021
Recommended citation: J. Huang, B. Xue, Y. Sun, and M. Zhang, “A flexible variable-length particle swarm optimization approach to convolutional neural network architecture design,” in 2021 IEEE Congress on Evolutionary Computation (CEC), Kraków, Poland, 2021, pp. 934–941.
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Particle Swarm Optimization for Compact Neural Architecture Search for Image Classification
Published in IEEE Transactions on Evolutionary Computation, 2022
Recommended citation: J. Huang, B. Xue, Y. Sun, M. Zhang, and G. G. Yen, “Particle swarm optimization for compact neural architecture search for image classification,” IEEE Transactions on Evolutionary Computation, vol. 27, no. 5, pp. 1298–1312, 2023.
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EDE-NAS: An Eclectic Differential Evolution Approach to Single-Path Neural Architecture Search
Published in Australasian Joint Conference on Artificial Intelligence (AI), 2022
Recommended citation: J. Huang, B. Xue, Y. Sun, and M. Zhang, “EDE-NAS: An eclectic differential evolution approach to single-path neural architecture search,” in AI 2022: Advances in Artificial Intelligence, Lecture Notes in Computer Science, vol. 13728. Cham: Springer International Publishing, 2022, pp. 116–130.
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Split-Level Evolutionary Neural Architecture Search With Elite Weight Inheritance
Published in IEEE Transactions on Neural Networks and Learning Systems, 2023
Recommended citation: J. Huang, B. Xue, Y. Sun, M. Zhang, and G. G. Yen, “Split-level evolutionary neural architecture search with elite weight inheritance,” IEEE Transactions on Neural Networks and Learning Systems, vol. 35, no. 10, pp. 13 523–13 537, 2024.
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Multi-Objective Evolutionary Search of Compact Convolutional Neural Networks with Training-Free Estimation
Published in Proceedings of the Companion Conference on Genetic and Evolutionary Computation, 2023
Automatic Design of Neural Networks with Multi-Scale Convolutions via Multi-Path Weight Sampling
Published in Pattern Recognition, 2025
Recommended citation: J. Huang, B. Xue, Y. Sun, M. Zhang, and G. G. Yen, “Automatic design of neural networks with multi-scale convolutions via multi-path weight sampling,” Pattern Recognition, vol. 165, p. 111605, 2025.
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LightMix: Multi-Objective Search for Lightweight Mixed-Scale Convolutional Neural Networks
Published in IEEE Transactions on Emerging Topics in Computational Intelligence, 2025
Recommended citation: J. Huang, B. Xue, Y. Sun, M. Zhang, and G. G. Yen, “LightMix: Multi-objective search for lightweight mixed-scale convolutional neural networks,” IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 10, no. 2, pp. 1654–1668, 2026.
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Efficient Perturbation-Aware Distinguishing Score for Zero-Shot Neural Architecture Search
Published in Applied Soft Computing, 2025
Recommended citation: J. Huang, B. Xue, Y. Sun, M. Zhang, and G. G. Yen, “Efficient perturbation-aware distinguishing score for zero-shot neural architecture search,” Applied Soft Computing, vol. 182, p. 113447, 2025.
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Evolving Comprehensive Proxies for Zero-Shot Neural Architecture Search
Published in Genetic and Evolutionary Computation Conference (GECCO), 2025
Recommended citation: Junhao Huang, Bing Xue, Yanan Sun, and Mengjie Zhang. 2025. Evolving Comprehensive Proxies for Zero-Shot Neural Architecture Search. In Genetic and Evolutionary Computation Conference (GECCO), July 14-18, 2025, Malaga, Spain. ACM, New York, NY, USA, 9 pages. https://doi.org/10.1145/3712256.3726315
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Automated Design of Neural Networks for River Flow Prediction Using Weather Data
Published in Pacific Rim International Conference on Artificial Intelligence (PRICAI), 2025
Recommended citation: J. Huang, R. Chaput, B. Xue, I. Liu, R. Vennell, and M. Zhang, “Automated design of neural networks for river flow prediction using weather data,” in PRICAI 2025: Trends in Artificial Intelligence, Lecture Notes in Computer Science, vol. 16452. Singapore: Springer Nature Singapore, 2026, pp. 346–362.
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Lightweight Neural Architecture Search via Training-Free ZiCo-Block Evaluation
Published in Pacific Rim International Conference on Artificial Intelligence (PRICAI), 2025
Recommended citation: Y. Wang, J. Huang, and R. Jiao, “Lightweight neural architecture search via training-free ZiCo-Block evaluation,” in PRICAI 2025: Trends in Artificial Intelligence, Lecture Notes in Computer Science, vol. 16452. Singapore: Springer Nature Singapore, 2026, pp. 67–82.
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EvoREP: Evolving Reliable Ensemble of Zero-Cost Proxies for Zero-Shot Neural Architecture Search
Published in IEEE Transactions on Evolutionary Computation, 2025
Recommended citation: J. Huang, B. Xue, Y. Sun, M. Zhang, and G. G. Yen, “EvoREP: Evolving reliable ensemble of zero-cost proxies for zero-shot neural architecture search,” IEEE Transactions on Evolutionary Computation, pp. 1–15, 2025.
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Activation features empowered: An efficient gradient-free proxy to zero-shot neural architecture search
Published in Pattern Recognition, 2026
Recommended citation: J. Huang, B. Xue, Y. Sun, M. Zhang, and G. G. Yen, “Activation features empowered: An efficient gradient-free proxy to zero-shot neural architecture search,” Pattern Recognition, vol. 179, p. 113917, 2026.
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