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ORCIDYingfang Yuan
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2020 – today
- 2024
[c6]Junhao Song
, Yingfang Yuan, Wei Pang:
SAIS: A Novel Bio-Inspired Artificial Immune System Based on Symbiotic Paradigm. GECCO Companion 2024: 2115-2118- [c5]Yingfang Yuan, Wenjun Wang, Xin Li, Kefan Chen, Yonghan Zhang, Wei Pang:
Evolving Molecular Graph Neural Networks with Hierarchical Evaluation Strategy. GECCO 2024 - [i10]Junhao Song, Yingfang Yuan, Wei Pang:
SAIS: A Novel Bio-Inspired Artificial Immune System Based on Symbiotic Paradigm. CoRR abs/2402.07244 (2024) - [i9]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 abs/2405.10452 (2024) - [i8]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 abs/2407.03133 (2024) - [i7]Qin Jiang, Chengjia Wang, Michael Lones, Yingfang Yuan, Wei Pang:
ScaleNet: Scale Invariance Learning in Directed Graphs. CoRR abs/2411.08758 (2024) - 2023
- [c4]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 - [i6]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 abs/2301.13082 (2023) - [i5]Zuhao Yang, Yingfang Yuan, Yang Xu, Shuo Zhan, Huajun Bai, Kefan Chen:
FACE: Evaluating Natural Language Generation with Fourier Analysis of Cross-Entropy. CoRR abs/2305.10307 (2023) - 2021
- [c3]Yingfang Yuan, Wenjun Wang, Wei Pang:
A Genetic Algorithm with Tree-structured Mutation for Hyperparameter Optimisation of Graph Neural Networks. CEC 2021: 482-489 - [c2]Yingfang Yuan, Wenjun Wang, Wei Pang:
A systematic comparison study on hyperparameter optimisation of graph neural networks for molecular property prediction. GECCO 2021: 386-394 - [c1]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: 1403-1404 - [i4]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 abs/2101.09300 (2021) - [i3]Yingfang Yuan, Wenjun Wang, Wei Pang:
A Systematic Comparison Study on Hyperparameter Optimisation of Graph Neural Networks for Molecular Property Prediction. CoRR abs/2102.04283 (2021) - [i2]Yingfang Yuan, Wenjun Wang, Wei Pang:
A Genetic Algorithm with Tree-structured Mutation for Hyperparameter Optimisation of Graph Neural Networks. CoRR abs/2102.11995 (2021) - [i1]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 abs/2104.06046 (2021)
Coauthor Index
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