Junhao Huang

Orcid: 0000-0002-0074-2851

Affiliations:
  • Victoria University of Wellington, School of Engineering and Computer Science, New Zealand


According to our database1, Junhao Huang authored at least 13 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
LightMix: Multi-Objective Search for Lightweight Mixed-Scale Convolutional Neural Networks.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2026

Activation features empowered: An efficient gradient-free proxy for zero-shot neural architecture search.
Pattern Recognit., 2026

2025
Automated design of neural networks with multi-scale convolutions via multi-path weight sampling.
Pattern Recognit., 2025

Efficient perturbation-aware distinguishing score for zero-shot neural architecture search.
Appl. Soft Comput., 2025

Automated Design of Neural Networks for River Flow Prediction Using Weather Data.
Proceedings of the PRICAI 2025: Trends in Artificial Intelligence, 2025

Evolving Comprehensive Proxies for Zero-Shot Neural Architecture Search.
Proceedings of the Genetic and Evolutionary Computation Conference, 2025

2024
Split-Level Evolutionary Neural Architecture Search With Elite Weight Inheritance.
IEEE Trans. Neural Networks Learn. Syst., October, 2024

2023
Particle Swarm Optimization for Compact Neural Architecture Search for Image Classification.
IEEE Trans. Evol. Comput., October, 2023

Multi-Objective Evolutionary Search of Compact Convolutional Neural Networks with Training-Free Estimation.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022
EDE-NAS: An Eclectic Differential Evolution Approach to Single-Path Neural Architecture Search.
Proceedings of the AI 2022: Advances in Artificial Intelligence, 2022

2021
Joint Structure and Parameter Optimization of Multiobjective Sparse Neural Network.
Neural Comput., 2021

A Flexible Variable-length Particle Swarm Optimization Approach to Convolutional Neural Network Architecture Design.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020
Deep neural networks compression learning based on multiobjective evolutionary algorithms.
Neurocomputing, 2020


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