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Chence Shi
Chence Shi
Quebec AI Institute (Mila)
Verified email at umontreal.ca - Homepage
Title
Cited by
Cited by
Year
Autoint: Automatic feature interaction learning via self-attentive neural networks
W Song, C Shi, Z Xiao, Z Duan, Y Xu, M Zhang, J Tang
International Conference on Information and Knowledge Management (CIKM 2019 …, 2019
2582019
GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation
C Shi*, M Xu*, Z Zhu, W Zhang, M Zhang, J Tang
International Conference on Learning Representations (ICLR 2020), 2020
1372020
A Graph to Graphs Framework for Retrosynthesis Prediction
C Shi, M Xu, H Guo, M Zhang, J Tang
International Conference on Machine Learning (ICML 2020), 2020
562020
Learning gradient fields for molecular conformation generation
C Shi*, S Luo*, M Xu, J Tang
International Conference on Machine Learning (ICML 2021), 2021
282021
MARS: Markov Molecular Sampling for Multi-objective Drug Discovery
Y Xie, C Shi, H Zhou, Y Yang, W Zhang, Y Yu, L Li
International Conference on Learning Representations (ICLR 2021), 2021
252021
An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming
M Xu, W Wang, S Luo, C Shi, Y Bengio, R Gomez-Bombarelli, J Tang
International Conference on Machine Learning (ICML 2021), 2021
142021
Predicting Molecular Conformation via Dynamic Graph Score Matching
S Luo*, C Shi*, M Xu, J Tang
Advances in Neural Information Processing Systems (NeurIPS 2021), 2021
82021
GeoDiff: A Geometric Diffusion Model for Molecular Conformation Generation
M Xu, L Yu, Y Song, C Shi, S Ermon, J Tang
International Conference on Learning Representations (ICLR 2022), 2022
62022
Non-Autoregressive Electron Redistribution Modeling for Reaction Prediction
H Bi*, H Wang*, C Shi, C Coley, J Tang, H Guo
International Conference on Machine Learning (ICML 2021), 2021
32021
TorchDrug: A Powerful and Flexible Machine Learning Platform for Drug Discovery
Z Zhu, C Shi, Z Zhang, S Liu, M Xu, X Yuan, Y Zhang, J Chen, H Cai, J Lu, ...
preprint, 2022
12022
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Articles 1–10