no code implementations • 6 May 2024 • XiaoBin Li, Kai Wu, Yujian Betterest Li, XiaoYu Zhang, Handing Wang, Jing Liu
Pretrained Optimization Models (POMs) leverage knowledge gained from optimizing various tasks, providing efficient solutions for new optimization challenges through direct usage or fine-tuning.
no code implementations • 27 May 2023 • Kai Wu, Yujian Betterest Li, Jian Lou, XiaoYu Zhang, Handing Wang, Jing Liu
It is frightening that deep neural networks are vulnerable and sensitive to adversarial attacks, the most common one of which for the services is evasion-based.
no code implementations • 24 Apr 2023 • XiaoBin Li, Kai Wu, XiaoYu Zhang, Handing Wang, Jing Liu
To achieve this, 1) drawing on the mechanism of genetic algorithm, we propose a deep neural network framework called B2Opt, which has a stronger representation of optimization strategies based on survival of the fittest; 2) B2Opt can utilize the cheap surrogate functions of the target task to guide the design of the efficient optimization strategies.
no code implementations • 28 Nov 2022 • Huixin Ma, Kai Wu, Handing Wang, Jing Liu
In this way, our proposal can better keep the advantages of previous community detection results and transfer them to the next task.