Yingfang Yuan

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 15

Top Topics

Top Venues

GECCO Companion

Publications

Junhao Song, Yingfang Yuan, Wei Pang
SAIS: A Novel Bio-Inspired Artificial Immune System Based on Symbiotic Paradigm. CoRR (2024)
Yingfang Yuan, Wenjun Wang, Xin Li, Kefan Chen, Yonghan Zhang, Wei Pang
Evolving Molecular Graph Neural Networks with Hierarchical Evaluation Strategy. GECCO (2024)
Junhao Song, Yingfang Yuan, Kaiwen Chang, Bing Xu, Jin Xuan, Wei Pang
Navigating Public Sentiment in the Circular Economy through Topic Modelling and Hyperparameter Optimisation. CoRR (2024)
Yingfang Yuan, Kefan Chen, Mehdi Rizvi, Lynne Baillie, Wei Pang
Quantifying the Cross-sectoral Intersecting Discrepancies within Multiple Groups Using Latent Class Analysis Towards Fairness. CoRR (2024)
Junhao Song, Yingfang Yuan, Wei Pang
SAIS: A Novel Bio-Inspired Artificial Immune System Based on Symbiotic Paradigm. GECCO Companion (2024)
Zuhao Yang, Yingfang Yuan, Yang Xu, Shuo Zhan, Huajun Bai, Kefan Chen
FACE: Evaluating Natural Language Generation with Fourier Analysis of Cross-Entropy. NeurIPS (2023)
Zuhao Yang, Yingfang Yuan, Yang Xu, Shuo Zhan, Huajun Bai, Kefan Chen
FACE: Evaluating Natural Language Generation with Fourier Analysis of Cross-Entropy. CoRR (2023)
Zuhao Yang, Huajun Bai, Zhang Luo, Yang Xu, Wei Pang, Yue Wang, Yisheng Yuan, Yingfang Yuan
PaCaNet: A Study on CycleGAN with Transfer Learning for Diversifying Fused Chinese Painting and Calligraphy. CoRR (2023)
Yingfang Yuan, Wenjun Wang, Wei Pang
Which Hyperparameters to Optimise? An Investigation of Evolutionary Hyperparameter Optimisation in Graph Neural Network For Molecular Property Prediction. CoRR (2021)
Yingfang Yuan, Wenjun Wang, Wei Pang
A systematic comparison study on hyperparameter optimisation of graph neural networks for molecular property prediction. GECCO (2021)
Yingfang Yuan, Wenjun Wang, George M. Coghill, Wei Pang
A Novel Genetic Algorithm with Hierarchical Evaluation Strategy for Hyperparameter Optimisation of Graph Neural Networks. CoRR (2021)
Yingfang Yuan, Wenjun Wang, Wei Pang
A Systematic Comparison Study on Hyperparameter Optimisation of Graph Neural Networks for Molecular Property Prediction. CoRR (2021)
Yingfang Yuan, Wenjun Wang, Wei Pang
Which hyperparameters to optimise?: an investigation of evolutionary hyperparameter optimisation in graph neural network for molecular property prediction. GECCO Companion (2021)
Yingfang Yuan, Wenjun Wang, Wei Pang
A Genetic Algorithm with Tree-structured Mutation for Hyperparameter Optimisation of Graph Neural Networks. CoRR (2021)
Yingfang Yuan, Wenjun Wang, Wei Pang
A Genetic Algorithm with Tree-structured Mutation for Hyperparameter Optimisation of Graph Neural Networks. CEC (2021)