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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
3922019
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
2022020
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
832020
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
702022
Learning gradient fields for molecular conformation generation
C Shi*, S Luo*, M Xu, J Tang
International Conference on Machine Learning (ICML 2021), 2021
692021
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
562021
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
312021
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
312021
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
112022
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
52021
Protein Sequence and Structure Co-Design with Equivariant Translation
C Shi, C Wang, J Lu, B Zhong, J Tang
International Conference on Learning Representations (ICLR 2023), 2023
22023
E3Bind: An End-to-End Equivariant Network for Protein-Ligand Docking
Y Zhang*, H Cai*, C Shi, B Zhong, J Tang
International Conference on Learning Representations (ICLR 2023), 2023
12023
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Articles 1–12