2 citations · 3 across the 3 of their papers we have counts for
5 papers
Leveraging Large Language Model to Generate a Novel Metaheuristic Algorithm with CRISPE Framework
Rui Zhong, Yuefeng Xu, Chao Zhang +1
In this paper, we borrow the large language model (LLM) ChatGPT-3.5 to automatically and quickly design a new metaheuristic algorithm (MA) with only a small amount of input. The no…
Efficient Multiplayer Battle Game Optimizer for Adversarial Robust Neural Architecture Search
Rui Zhong, Yuefeng Xu, Chao Zhang +1
This paper introduces a novel metaheuristic algorithm, known as the efficient multiplayer battle game optimizer (EMBGO), specifically designed for addressing complex numerical opti…
Multiplayer Battle Game-Inspired Optimizer for Complex Optimization Problems
Yuefeng Xu, Rui Zhong, Chao Zhang +1
Various popular multiplayer battle royale games share a lot of common elements. Drawing from our observations, we summarized these shared characteristics and subsequently proposed…
Multilevel Saliency-Guided Self-Supervised Learning for Image Anomaly Detection
Jianjian Qin, Chunzhi Gu, Jun Yu +1
Anomaly detection (AD) is a fundamental task in computer vision. It aims to identify incorrect image data patterns which deviate from the normal ones. Conventional methods generall…
Multi-Scale Distillation for RGB-D Anomaly Detection on the PD-REAL Dataset
Jianjian Qin, Chao Zhang, Chunzhi Gu +5
We present PD-REAL, a novel large-scale dataset for unsupervised anomaly detection (AD) in the 3D domain. It is motivated by the fact that 2D-only representations in the AD task ma…