2 citations · 3 across the 4 of their papers we have counts for
4 papers
Towards KAB2S: Learning Key Knowledge from Single-Objective Problems to Multi-Objective Problem
Xu Wendi, Wang Xianpeng, Guo Qingxin +6
As "a new frontier in evolutionary computation research", evolutionary transfer optimization(ETO) will overcome the traditional paradigm of zero reuse of related experience and kno…
ETO Meets Scheduling: Learning Key Knowledge from Single-Objective Problems to Multi-Objective Problem
Wendi Xu, Xianpeng Wang
Evolutionary transfer optimization(ETO) serves as "a new frontier in evolutionary computation research", which will avoid zero reuse of experience and knowledge from solved problem…
Theory of Generative Deep Learning : Probe Landscape of Empirical Error via Norm Based Capacity Control
Wendi Xu, Ming Zhang
Despite its remarkable empirical success as a highly competitive branch of artificial intelligence, deep learning is often blamed for its widely known low interpretation and lack o…
Towards WARSHIP: Combining Components of Brain-Inspired Computing of RSH for Image Super Resolution
Wendi Xu, Ming Zhang
Evolution of deep learning shows that some algorithmic tricks are more durable , while others are not. To the best of our knowledge, we firstly summarize 5 more durable and complet…