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Keqiang Yan
Keqiang Yan
PhD Student, Texas A&M University, College Station
在 tamu.edu 的电子邮件经过验证
标题
引用次数
引用次数
年份
GraphDF: A discrete flow model for molecular graph generation
Y Luo, K Yan, S Ji
International Conference on Machine Learning, 7192-7203, 2021
1492021
DIG: A turnkey library for diving into graph deep learning research
M Liu, Y Luo, L Wang, Y Xie, H Yuan, S Gui, H Yu, Z Xu, J Zhang, Y Liu, ...
Journal of Machine Learning Research 22 (240), 1-9, 2021
113*2021
GraphEBM: Molecular graph generation with energy-based models
M Liu, K Yan, B Oztekin, S Ji
ICLR-EBM workshop, 2021
792021
Periodic Graph Transformers for Crystal Material Property Prediction
K Yan, Y Liu, Y Lin, S Ji
Advances in Neural Information Processing Systems 35, 15066-15080, 2022
582022
Artificial intelligence for science in quantum, atomistic, and continuum systems
X Zhang, L Wang, J Helwig, Y Luo, C Fu, Y Xie, M Liu, Y Lin, Z Xu, K Yan, ...
arXiv preprint arXiv:2307.08423, 2023
462023
Efficient Approximations of Complete Interatomic Potentials for Crystal Property Prediction
Y Lin, K Yan, Y Luo, Y Liu, X Qian, S Ji
ICML 2023, 2023
152023
A Latent Diffusion Model for Protein Structure Generation
K Yan, C Fu, L Wang, WY Au, M McThrow, T Komikado, K Maruhashi, ...
arXiv preprint arXiv:2305.04120, 2023
14*2023
Examining graph neural networks for crystal structures: limitations and opportunities for capturing periodicity
S Gong, K Yan, T Xie, Y Shao-Horn, R Gomez-Bombarelli, S Ji, ...
Science Advances 9, 2023
132023
Large scale benchmark of materials design methods
K Choudhary, D Wines, K Li, KF Garrity, V Gupta, AH Romero, JT Krogel, ...
arXiv preprint arXiv:2306.11688, 2023
112023
Multitask attentive network for text effects quality assessment
K Yan, S Yang, W Wang, J Liu
2020 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2020
12020
Complete and Efficient Graph Transformers for Crystal Material Property Prediction
K Yan, C Fu, X Qian, X Qian, S Ji
ICLR 2024, 2024
2024
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