Changwu Huang

Orcid: 0000-0003-3685-2822

According to our database1, Changwu Huang authored at least 22 papers between 2018 and 2024.

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

Timeline

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Bibliography

2024
Multi-objective Feature Attribution Explanation For Explainable Machine Learning.
ACM Trans. Evol. Learn. Optim., March, 2024

Procedural Fairness in Machine Learning.
CoRR, 2024

A Concept-Based Local Interpretable Model-Agnostic Explanation Approach for Deep Neural Networks in Image Classification.
Proceedings of the Intelligent Information Processing XII, 2024

Feature Attribution Explanation Based on Multi-Objective Evolutionary Learning.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

2023
An Overview of Artificial Intelligence Ethics.
IEEE Trans. Artif. Intell., 2023

EFFL: Egalitarian Fairness in Federated Learning for Mitigating Matthew Effect.
CoRR, 2023

Feature Attribution Explanation to Detect Harmful Dataset Shift.
Proceedings of the International Joint Conference on Neural Networks, 2023

Fairer Machine Learning Through the Hybrid of Multi-objective Evolutionary Learning and Adversarial Learning.
Proceedings of the International Joint Conference on Neural Networks, 2023

An Explainable Feature Selection Approach for Fair Machine Learning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2023, 2023

2022
Adaptive multiobjective evolutionary algorithm for large-scale transformer ratio error estimation.
Memetic Comput., 2022

Online algorithm configuration for differential evolution algorithm.
Appl. Intell., 2022

Preventing Undesirable Behaviors of Neural Networks via Evolutionary Constrained Learning.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
Surrogate models in evolutionary single-objective optimization: A new taxonomy and experimental study.
Inf. Sci., 2021

Operator-Adapted Evolutionary Large-Scale Multiobjective Optimization for Voltage Transformer Ratio Error Estimation.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2021

Adaptive Differential Evolution based on Exploration and Exploitation Control.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020
A Survey of Automatic Parameter Tuning Methods for Metaheuristics.
IEEE Trans. Evol. Comput., 2020

Online Parameter Tuned SAHiD Algorithm for Capacitated Arc Routing Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
Algorithm Portfolio for Parameter Tuned Evolutionary Algorithms.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Adaptive-SAHiD Algorithm for Capacitated Arc Routing Problems.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Voronoi-based Efficient Surrogate-assisted Evolutionary Algorithm for Very Expensive Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Automatic Parameter Tuning using Bayesian Optimization Method.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
CMA evolution strategy assisted by kriging model and approximate ranking.
Appl. Intell., 2018


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