Changwu Huang

34 papers B 8C 1Journal 17Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Conceptual Framework of AI Transparency From Sociotechnical Perspective.
IEEE Trans. Artif. Intell.
Changwu Huang, Ziming Wang, Xingnan Wen, Xiaozhen Wang, Xin Yao
2026 J jnl
Integrating Knowledge Distillation Methods: A Sequential Multi-Stage Framework.
CoRR
Yinxi Tian, Changwu Huang, Ke Tang, Xin Yao
2026 J jnl
Procedural Fairness in Machine Learning.
J. Artif. Intell. Res.
Ziming Wang, Changwu Huang, Ke Tang, Xin Yao
2025 B conf
Fairness-Constrained Multiple-Workflow Scheduling Through Stochastic Ranking.
CEC
Jiajian Yang, Jingyuan Xu, Peiru Li, Changwu Huang, Xin Yao
2025 J jnl
On the Fairness of Privacy Protection: Measuring and Mitigating the Disparity of Group Privacy Risks for Differentially Private Machine Learning.
CoRR
Zhi Yang, Changwu Huang, Ke Tang, Xin Yao
2025 J jnl
Procedural Fairness and Its Relationship with Distributive Fairness in Machine Learning.
CoRR
Ziming Wang, Changwu Huang, Ke Tang, Xin Yao
2025 J jnl
Synergies Among Responsible Artificial Intelligence (RAI), Environmental, Social and Governance (ESG), and Sustainable Development Goals (SDGs).
IEEE Comput. Intell. Mag.
Changwu Huang, Xin Yao
2024 — conf
A Concept-Based Local Interpretable Model-Agnostic Explanation Approach for Deep Neural Networks in Image Classification.
IIP (2)
Lidan Tan, Changwu Huang, Xin Yao
2024 — conf
A Knowledge Guided Multi-Population Evolutionary Algorithm for Dynamic Workflow Scheduling Problem.
CAI
Jingyuan Xu, Jiajian Yang, Peiru Li, Ziming Wang, Changwu Huang, Xin Yao
2024 J jnl
A Roadmap of Explainable Artificial Intelligence: Explain to Whom, When, What and How?
ACM Trans. Auton. Adapt. Syst.
Ziming Wang, Changwu Huang, Xin Yao
2024 — conf
An Explainable Error Detection Approach for Machine Learning.
ICONIP (2)
Kaiyue Wu, Changwu Huang, Xin Yao
2024 — conf
Feature Attribution Explanation Based on Multi-Objective Evolutionary Learning.
GECCO Companion
Ziming Wang, Changwu Huang, Xin Yao
2024 J jnl
Multi-objective Feature Attribution Explanation For Explainable Machine Learning.
ACM Trans. Evol. Learn. Optim.
Ziming Wang, Changwu Huang, Yun Li, Xin Yao
2024 J jnl
Procedural Fairness in Machine Learning.
CoRR
Ziming Wang, Changwu Huang, Xin Yao
2024 — conf
Towards Private and Fair Machine Learning: Group-Specific Differentially Private Stochastic Gradient Descent with Threshold Optimization.
ICONIP (3)
Zhi Yang, Changwu Huang, Xin Yao
2023 — conf
An Explainable Feature Selection Approach for Fair Machine Learning.
ICANN (8)
Zhi Yang, Ziming Wang, Changwu Huang, Xin Yao
2023 J jnl
An Overview of Artificial Intelligence Ethics.
IEEE Trans. Artif. Intell.
Changwu Huang, Zeqi Zhang, Bifei Mao, Xin Yao
2023 J jnl
EFFL: Egalitarian Fairness in Federated Learning for Mitigating Matthew Effect.
CoRR
Jiashi Gao, Changwu Huang, Ming Tang, Shin Hwei Tan, Xin Yao, Xuetao Wei
2023 B conf
Fairer Machine Learning Through the Hybrid of Multi-objective Evolutionary Learning and Adversarial Learning.
IJCNN
Shenhao Gui, Qingquan Zhang, Changwu Huang, Bo Yuan
2023 B conf
Feature Attribution Explanation to Detect Harmful Dataset Shift.
IJCNN
Ziming Wang, Changwu Huang, Xin Yao
2022 J jnl
Adaptive multiobjective evolutionary algorithm for large-scale transformer ratio error estimation.
Memetic Comput.
Changwu Huang, Lianghao Li, Cheng He, Ran Cheng, Xin Yao
2022 J jnl
Online algorithm configuration for differential evolution algorithm.
Appl. Intell.
Changwu Huang, Hao Bai, Xin Yao
2022 B conf
Preventing Undesirable Behaviors of Neural Networks via Evolutionary Constrained Learning.
IJCNN
Changwu Huang, Zeqi Zhang, Bifei Mao, Xin Yao
2021 B conf
Adaptive Differential Evolution based on Exploration and Exploitation Control.
CEC
Hao Bai, Changwu Huang, Xin Yao
2021 C conf
Operator-Adapted Evolutionary Large-Scale Multiobjective Optimization for Voltage Transformer Ratio Error Estimation.
EMO
Changwu Huang, Lianghao Li, Cheng He, Ran Cheng, Xin Yao
2021 J jnl
Surrogate models in evolutionary single-objective optimization: A new taxonomy and experimental study.
Inf. Sci.
Hao Tong, Changwu Huang, Leandro L. Minku, Xin Yao
2020 J jnl
A Survey of Automatic Parameter Tuning Methods for Metaheuristics.
IEEE Trans. Evol. Comput.
Changwu Huang, Yuanxiang Li, Xin Yao
2020 B conf
Online Parameter Tuned SAHiD Algorithm for Capacitated Arc Routing Problems.
CEC
Changwu Huang, Yuanxiang Li, Xin Yao
2019 — conf
Adaptive-SAHiD Algorithm for Capacitated Arc Routing Problems.
SSCI
Changwu Huang, Yuanxiang Li, Xin Yao
2019 — conf
Algorithm Portfolio for Parameter Tuned Evolutionary Algorithms.
SSCI
Hao Tong, Shuyi Zhang, Changwu Huang, Xin Yao
2019 B conf
Automatic Parameter Tuning using Bayesian Optimization Method.
CEC
Changwu Huang, Bo Yuan, Yuanxiang Li, Xin Yao
2019 B conf
Voronoi-based Efficient Surrogate-assisted Evolutionary Algorithm for Very Expensive Problems.
CEC
Hao Tong, Changwu Huang, Jialin Liu, Xin Yao
2019 J jnl
Voronoi-based Efficient Surrogate-assisted Evolutionary Algorithm for Very Expensive Problems.
CoRR
Hao Tong, Changwu Huang, Jialin Liu, Xin Yao
2018 J jnl
CMA evolution strategy assisted by kriging model and approximate ranking.
Appl. Intell.
Changwu Huang, Bouchaib Radi, Abdelkhalak El Hami, Hao Bai