1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.NE2026
G-ICSO-NAS: Shifting Gears between Gradient and Swarm for Robust Neural Architecture Search
Xingbang Du, Enzhi Zhang, Rui Zhong +2
Neural Architecture Search (NAS) has become a pivotal technique in automated machine learning. Evolutionary Algorithm (EA)-based methods demonstrate superior search quality but suf…
cs.NE2024★ 1 cited
Introducing Competitive Mechanism to Differential Evolution for Numerical Optimization
Rui Zhong, Yang Cao, Enzhi Zhang +1
This paper introduces a novel competitive mechanism into differential evolution (DE), presenting an effective DE variant named competitive DE (CDE). CDE features a simple yet effic…
cs.NE2024★ 1 cited
Large Language Model Assisted Adversarial Robustness Neural Architecture Search
Rui Zhong, Yang Cao, Jun Yu +1
Motivated by the potential of large language models (LLMs) as optimizers for solving combinatorial optimization problems, this paper proposes a novel LLM-assisted optimizer (LLMO)…