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Chence Shi — most-cited papers & profile · AI for Science
← authors
·
overview
Chence Shi
13
papers ·
632
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation
2020 · 210 citations
GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation
2022 · 181 citations
A Graph to Graphs Framework for Retrosynthesis Prediction
2020 · 75 citations
Learning Gradient Fields for Molecular Conformation Generation
2021 · 42 citations
TorchDrug: A Powerful and Flexible Machine Learning Platform for Drug Discovery
2022 · 32 citations
MARS: Markov Molecular Sampling for Multi-objective Drug Discovery
2021 · 29 citations
An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming
2021 · 20 citations
E3Bind: An End-to-End Equivariant Network for Protein-Ligand Docking
2022 · 15 citations
Protein Sequence and Structure Co-Design with Equivariant Translation
2022 · 13 citations
Non-Autoregressive Electron Redistribution Modeling for Reaction Prediction
2021 · 11 citations
Structure Language Models for Protein Conformation Generation
2024 · 4 citations
Non-autoregressive electron flow generation for reaction prediction
2020
Fusing Neural and Physical: Augment Protein Conformation Sampling with Tractable Simulations
2024
Top co-authors
Minkai Xu
· 5
Jian Tang
· 4
Jian Tang
· 4
Bozitao Zhong
· 3
Jiarui Lu
· 3
Hangrui Bi
· 2
Hengyi Wang
· 2
Huiyu Cai
· 2
Jian Tang
· 2
Shitong Luo
· 2
Weinan Zhang
· 2
Yangtian Zhang
· 2
Topics
Chemistry
Drug Discovery
Protein Science
Materials
Genomics