1 code implementation • 11 Feb 2024 • Junhao Song, Yingfang Yuan, Wei Pang
We propose a novel type of Artificial Immune System (AIS): Symbiotic Artificial Immune Systems (SAIS), drawing inspiration from symbiotic relationships in biology.
no code implementations • 30 Jan 2023 • Zuhao Yang, Huajun Bai, Zhang Luo, Yang Xu, Wei Pang, Yue Wang, Yisheng Yuan, Yingfang Yuan
Using one-shot learning to increase the creativity of pre-trained models and diversify the content of the fused images.
no code implementations • 13 Apr 2021 • Yingfang Yuan, Wenjun Wang, Wei Pang
In this research, we focus on the impact of selecting two types of GNN hyperparameters, those belonging to graph-related layers and those of task-specific layers, on the performance of GNN for molecular property prediction.
Hyperparameter Optimization Molecular Property Prediction +1
no code implementations • 24 Feb 2021 • Yingfang Yuan, Wenjun Wang, Wei Pang
In particular, the genetic algorithm (GA) for HPO has been explored, which treats GNNs as a black-box model, of which only the outputs can be observed given a set of hyperparameters.
no code implementations • 8 Feb 2021 • Yingfang Yuan, Wenjun Wang, Wei Pang
In this paper, we conducted a theoretical analysis of common and specific features for two state-of-the-art and popular algorithms for HPO: TPE and CMA-ES, and we compared them with random search (RS), which is used as a baseline.
Hyperparameter Optimization Molecular Property Prediction +1
no code implementations • 22 Jan 2021 • Yingfang Yuan, Wenjun Wang, George M. Coghill, Wei Pang
While in the proposed fast evaluation process, the training will be interrupted at an early stage, the difference of RMSE values between the starting and interrupted epochs will be used as a fast score, which implies the potential of the GNN being considered.