137 citations · 137 across the 6 of their papers we have counts for
8 papers
Evolutionary Computation for Trustworthy AI: From Attacks and Defenses to Self-Evolving Era
Junhao Dong, Chenkai Wang, Xuanhui Lin +8
As Artificial Intelligence (AI) has evolved from task-specific models to foundation models and agents, the scope of trustworthy AI has expanded from model-level robustness to the r…
Interpretable and Fair Generalized Additive Neural Networks via Multi-objective Learning
Ziming Wang, Changwu Huang, Ke Tang +2
Interpretability and fairness are two of the most emphasized dimensions in trustworthy artificial intelligence (AI). Various explainable AI methods have been introduced to improve…
Integrating Knowledge Distillation Methods: A Sequential Multi-Stage Framework
Yinxi Tian, Changwu Huang, Ke Tang +1
Knowledge distillation (KD) transfers knowledge from large teacher models to compact student models, enabling efficient deployment on resource constrained devices. While diverse KD…
Online Regime-aware Calibration for Black-box Social Simulators via Posterior-assisted Evolutionary Dynamic Optimization
Peng Yang, Zhenhua Yang, Boquan Jiang +3
Evolutionary dynamic optimization (EDO) commonly assumes that environmental changes can be detected from fitness variations and handled through random re-initialization, historical…
Knowledge-Guided Memetic Algorithm for Capacitated Arc Routing Problems with Time-Dependent Service Costs
Qingya Li, Shengcai Liu, Wenjie Chen +3
The capacitated arc routing problem with time-dependent service costs (CARPTDSC) is a challenging combinatorial optimization problem that arises from winter gritting applications.…
MEGO: Learning Mixture-of-Experts for General-Purpose Binary Optimization
Shengcai Liu, Zhiyuan Wang, Yew-Soon Ong +2
Discrete optimization is ubiquitous in science and engineering. The vast array of existing discrete optimization problems, coupled with the continuous emergence of new ones, necess…