1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.NE2024
Bridging the Gap Between Theory and Practice: Benchmarking Transfer Evolutionary Optimization
Yaqing Hou, Wenqiang Ma, Abhishek Gupta +5
In recent years, the field of Transfer Evolutionary Optimization (TrEO) has witnessed substantial growth, fueled by the realization of its profound impact on solving complex proble…
eess.IV2024★ 1 cited
Troublemaker Learning for Low-Light Image Enhancement
Yinghao Song, Zhiyuan Cao, Wanhong Xiang +5
Low-light image enhancement (LLIE) restores the color and brightness of underexposed images. Supervised methods suffer from high costs in collecting low/normal-light image pairs. U…
cs.NE2023★ 1 cited
Multiform Evolution for High-Dimensional Problems with Low Effective Dimensionality
Yaqing Hou, Mingyang Sun, Abhishek Gupta +4
In this paper, we scale evolutionary algorithms to high-dimensional optimization problems that deceptively possess a low effective dimensionality (certain dimensions do not signifi…