CMA evolution strategy assisted by kriging model and approximate ranking. - Changwu Huang; Bouchaib Radi; Abdelkhalak El Hami; Hao Bai (Appl. Intell., 2018)

Automatic Parameter Tuning using Bayesian Optimization Method. - Changwu Huang; Bo Yuan 006; Yuanxiang Li 001; Xin Yao 001 (CEC, 2019)

Voronoi-based Efficient Surrogate-assisted Evolutionary Algorithm for Very Expensive Problems. - Hao Tong; Changwu Huang; Jialin Liu 001; Xin Yao 001 (CEC, 2019)

Adaptive-SAHiD Algorithm for Capacitated Arc Routing Problems. - Changwu Huang; Yuanxiang Li 001; Xin Yao 001 (SSCI, 2019)

Algorithm Portfolio for Parameter Tuned Evolutionary Algorithms. - Hao Tong; Shuyi Zhang; Changwu Huang; Xin Yao 001 (SSCI, 2019)

Online Parameter Tuned SAHiD Algorithm for Capacitated Arc Routing Problems. - Changwu Huang; Yuanxiang Li 001; Xin Yao 001 (CEC, 2020)

A Survey of Automatic Parameter Tuning Methods for Metaheuristics. - Changwu Huang; Yuanxiang Li 001; Xin Yao 001 (IEEE Trans. Evol. Comput., 2020)

Adaptive Differential Evolution based on Exploration and Exploitation Control. - Hao Bai; Changwu Huang; Xin Yao 001 (CEC, 2021)

Operator-Adapted Evolutionary Large-Scale Multiobjective Optimization for Voltage Transformer Ratio Error Estimation. - Changwu Huang; Lianghao Li; Cheng He 001; Ran Cheng; Xin Yao 001 (EMO, 2021)

Surrogate models in evolutionary single-objective optimization: A new taxonomy and experimental study. - Hao Tong; Changwu Huang; Leandro L. Minku; Xin Yao 001 (Inf. Sci., 2021)

Preventing Undesirable Behaviors of Neural Networks via Evolutionary Constrained Learning. - Changwu Huang; Zeqi Zhang; Bifei Mao; Xin Yao 001 (IJCNN, 2022)

Online algorithm configuration for differential evolution algorithm. - Changwu Huang; Hao Bai; Xin Yao 001 (Appl. Intell., 2022)

Adaptive multiobjective evolutionary algorithm for large-scale transformer ratio error estimation. - Changwu Huang; Lianghao Li; Cheng He 001; Ran Cheng; Xin Yao 001 (Memetic Comput., 2022)

An Explainable Feature Selection Approach for Fair Machine Learning. - Zhi Yang; Ziming Wang; Changwu Huang; Xin Yao 001 (ICANN (8), 2023)

Fairer Machine Learning Through the Hybrid of Multi-objective Evolutionary Learning and Adversarial Learning. - Shenhao Gui; Qingquan Zhang; Changwu Huang; Bo Yuan 006 (IJCNN, 2023)

Feature Attribution Explanation to Detect Harmful Dataset Shift. - Ziming Wang; Changwu Huang; Xin Yao 001 (IJCNN, 2023)

EFFL: Egalitarian Fairness in Federated Learning for Mitigating Matthew Effect. - Jiashi Gao; Changwu Huang; Ming Tang; Shin Hwei Tan; Xin Yao 001; Xuetao Wei (CoRR, 2023)

An Overview of Artificial Intelligence Ethics. - Changwu Huang; Zeqi Zhang; Bifei Mao; Xin Yao 001 (IEEE Trans. Artif. Intell., 2023)

Feature Attribution Explanation Based on Multi-Objective Evolutionary Learning. - Ziming Wang; Changwu Huang; Xin Yao 001 (GECCO Companion, 2024)

An Explainable Error Detection Approach for Machine Learning. - Kaiyue Wu; Changwu Huang; Xin Yao 001 (ICONIP (2), 2024)

Towards Private and Fair Machine Learning: Group-Specific Differentially Private Stochastic Gradient Descent with Threshold Optimization. - Zhi Yang; Changwu Huang; Xin Yao 001 (ICONIP (3), 2024)

A Concept-Based Local Interpretable Model-Agnostic Explanation Approach for Deep Neural Networks in Image Classification. - Lidan Tan; Changwu Huang; Xin Yao 001 (IIP (2), 2024)

Procedural Fairness in Machine Learning. - Ziming Wang; Changwu Huang; Xin Yao 001 (CoRR, 2024)

Multi-objective Feature Attribution Explanation For Explainable Machine Learning. - Ziming Wang; Changwu Huang; Yun Li; Xin Yao 001 (ACM Trans. Evol. Learn. Optim., 2024)

A Roadmap of Explainable Artificial Intelligence: Explain to Whom, When, What and How? - Ziming Wang; Changwu Huang; Xin Yao 001 (ACM Trans. Auton. Adapt. Syst., 2024)

Fairness-Constrained Multiple-Workflow Scheduling Through Stochastic Ranking. - Jiajian Yang; Jingyuan Xu; Peiru Li; Changwu Huang; Xin Yao 001 (CEC, 2025)

Procedural Fairness and Its Relationship with Distributive Fairness in Machine Learning. - Ziming Wang; Changwu Huang; Ke Tang 001; Xin Yao 001 (CoRR, 2025)