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Changwu Huang
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2020 – today
- 2024
- [j8]Ziming Wang, Changwu Huang, Xin Yao:
A Roadmap of Explainable Artificial Intelligence: Explain to Whom, When, What and How? ACM Trans. Auton. Adapt. Syst. 19(4): 20:1-20:40 (2024) - [j7]Ziming Wang
, Changwu Huang
Multi-objective Feature Attribution Explanation For Explainable Machine Learning. ACM Trans. Evol. Learn. Optim. 4(1): 2:1-2:32 (2024) - [c13]Ziming Wang
Feature Attribution Explanation Based on Multi-Objective Evolutionary Learning. GECCO Companion 2024: 61-62 - [c12]Lidan Tan
A Concept-Based Local Interpretable Model-Agnostic Explanation Approach for Deep Neural Networks in Image Classification. Intelligent Information Processing (2) 2024: 119-133 - [i3]Ziming Wang, Changwu Huang, Xin Yao:
Procedural Fairness in Machine Learning. CoRR abs/2404.01877 (2024) - 2023
- [j6]Changwu Huang
An Overview of Artificial Intelligence Ethics. IEEE Trans. Artif. Intell. 4(4): 799-819 (2023) - [c11]Zhi Yang, Ziming Wang, Changwu Huang
An Explainable Feature Selection Approach for Fair Machine Learning. ICANN (8) 2023: 75-86 - [c10]Shenhao Gui, Qingquan Zhang
Fairer Machine Learning Through the Hybrid of Multi-objective Evolutionary Learning and Adversarial Learning. IJCNN 2023: 1-9 - [c9]Ziming Wang, Changwu Huang
Feature Attribution Explanation to Detect Harmful Dataset Shift. IJCNN 2023: 1-8 - [i2]Jiashi Gao, Changwu Huang, Ming Tang, Shin Hwei Tan, Xin Yao, Xuetao Wei:
EFFL: Egalitarian Fairness in Federated Learning for Mitigating Matthew Effect. CoRR abs/2309.16338 (2023) - 2022
- [j5]Changwu Huang
Online algorithm configuration for differential evolution algorithm. Appl. Intell. 52(8): 9193-9211 (2022) - [j4]Changwu Huang
Adaptive multiobjective evolutionary algorithm for large-scale transformer ratio error estimation. Memetic Comput. 14(2): 237-251 (2022) - [c8]Changwu Huang
Preventing Undesirable Behaviors of Neural Networks via Evolutionary Constrained Learning. IJCNN 2022: 1-7 - 2021
- [j3]Hao Tong, Changwu Huang
Surrogate models in evolutionary single-objective optimization: A new taxonomy and experimental study. Inf. Sci. 562: 414-437 (2021) - [c7]Hao Bai, Changwu Huang
Adaptive Differential Evolution based on Exploration and Exploitation Control. CEC 2021: 41-48 - [c6]Changwu Huang
Operator-Adapted Evolutionary Large-Scale Multiobjective Optimization for Voltage Transformer Ratio Error Estimation. EMO 2021: 672-683 - 2020
- [j2]Changwu Huang
A Survey of Automatic Parameter Tuning Methods for Metaheuristics. IEEE Trans. Evol. Comput. 24(2): 201-216 (2020) - [c5]Changwu Huang
Online Parameter Tuned SAHiD Algorithm for Capacitated Arc Routing Problems. CEC 2020: 1-8
2010 – 2019
- 2019
- [c4]Hao Tong, Changwu Huang
Voronoi-based Efficient Surrogate-assisted Evolutionary Algorithm for Very Expensive Problems. CEC 2019: 1996-2003 - [c3]Changwu Huang
Automatic Parameter Tuning using Bayesian Optimization Method. CEC 2019: 2090-2097 - [c2]Changwu Huang
Adaptive-SAHiD Algorithm for Capacitated Arc Routing Problems. SSCI 2019: 1668-1675 - [c1]Hao Tong, Shuyi Zhang, Changwu Huang
Algorithm Portfolio for Parameter Tuned Evolutionary Algorithms. SSCI 2019: 1849-1856 - [i1]Hao Tong, Changwu Huang, Jialin Liu, Xin Yao:
Voronoi-based Efficient Surrogate-assisted Evolutionary Algorithm for Very Expensive Problems. CoRR abs/1901.05755 (2019) - 2018
- [j1]Changwu Huang
CMA evolution strategy assisted by kriging model and approximate ranking. Appl. Intell. 48(11): 4288-4304 (2018)
Coauthor Index
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