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Kai Yi
Kai Yi
PhD Student, UNSW
Verified email at unsw.edu.au
Title
Cited by
Cited by
Year
ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks
Y Wang*, K Yi*, X Liu*, YG Wang, S Jin
ICLR 2023, 2023
43*2023
Deep learning based unsupervised and semi-supervised classification for keratoconus
N Hallett, K Yi, J Dick, C Hodge, G Sutton, YG Wang, J You
2020 International Joint Conference on Neural Networks (IJCNN), 1-7, 2020
222020
Graph denoising diffusion for inverse protein folding
K Yi, B Zhou, Y Shen, P Liò, Y Wang
Advances in Neural Information Processing Systems 36, 2024
162024
Cosmo vae: Variational autoencoder for cmb image inpainting
K Yi, Y Guo, Y Fan, J Hamann, YG Wang
2020 International Joint Conference on Neural Networks (IJCNN), 1-7, 2020
162020
Accurate and Definite Mutational Effect Prediction with Lightweight Equivariant Graph Neural Networks
B Zhou, O Lv, K Yi, X Xiong, P Tan, L Hong, YG Wang
arXiv preprint arXiv:2304.08299, 2023
6*2023
Protein engineering with lightweight graph denoising neural networks
B Zhou, L Zheng, B Wu, Y Tan, O Lv, K Yi, G Fan, L Hong
bioRxiv, 2023.11. 05.565665, 2023
22023
Approximate Equivariance SO (3) Needlet Convolution
K Yi, J Chen, YG Wang, B Zhou, P Liò, Y Fan, J Hamann
ICML 2022 Workshop on Topology, Algebra, and Geometry in Machine Learning …, 2022
22022
Conditional Protein Denoising Diffusion Generates Programmable Endonucleases
B Zhou, L Zheng, B Wu, K Yi, B Zhong, P Lio, L Hong
bioRxiv, 2023.08. 10.552783, 2023
12023
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Articles 1–8