Chence Shi

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 24

Top Topics

Bilevel Programming

Top Venues

Publications

Jiarui Lu, Zuobai Zhang, Bozitao Zhong, Chence Shi, Jian Tang
Fusing Neural and Physical: Augment Protein Conformation Sampling with Tractable Simulations. CoRR (2024)
Yangtian Zhang, Huiyu Cai, Chence Shi, Jian Tang
E3Bind: An End-to-End Equivariant Network for Protein-Ligand Docking. ICLR (2023)
Chence Shi, Chuanrui Wang, Jiarui Lu, Bozitao Zhong, Jian Tang
Protein Sequence and Structure Co-Design with Equivariant Translation. ICLR (2023)
Chence Shi, Chuanrui Wang, Jiarui Lu, Bozitao Zhong, Jian Tang
Protein Sequence and Structure Co-Design with Equivariant Translation. CoRR (2022)
Minkai Xu, Lantao Yu, Yang Song, Chence Shi, Stefano Ermon, Jian Tang
GeoDiff: A Geometric Diffusion Model for Molecular Conformation Generation. ICLR (2022)
Minkai Xu, Lantao Yu, Yang Song, Chence Shi, Stefano Ermon, Jian Tang
GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation. CoRR (2022)
Yangtian Zhang, Huiyu Cai, Chence Shi, Bozitao Zhong, Jian Tang
E3Bind: An End-to-End Equivariant Network for Protein-Ligand Docking. CoRR (2022)
Zhaocheng Zhu, Chence Shi, Zuobai Zhang, Shengchao Liu, Minghao Xu, Xinyu Yuan, Yangtian Zhang, Junkun Chen, Huiyu Cai, Jiarui Lu, Chang Ma, Runcheng Liu, Louis-Pascal A. C. Xhonneux, Meng Qu, Jian Tang
TorchDrug: A Powerful and Flexible Machine Learning Platform for Drug Discovery. CoRR (2022)
Shitong Luo, Chence Shi, Minkai Xu, Jian Tang
Predicting Molecular Conformation via Dynamic Graph Score Matching. NeurIPS (2021)
Minkai Xu, Wujie Wang, Shitong Luo, Chence Shi, Yoshua Bengio, Rafael Gómez-Bombarelli, Jian Tang
An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming. ICML (2021)
Chence Shi, Shitong Luo, Minkai Xu, Jian Tang
Learning Gradient Fields for Molecular Conformation Generation. ICML (2021)
Hangrui Bi, Hengyi Wang, Chence Shi, Connor W. Coley, Jian Tang, Hongyu Guo
Non-Autoregressive Electron Redistribution Modeling for Reaction Prediction. ICML (2021)
Minkai Xu, Wujie Wang, Shitong Luo, Chence Shi, Yoshua Bengio, Rafael Gómez-Bombarelli, Jian Tang
An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming. CoRR (2021)
Yutong Xie, Chence Shi, Hao Zhou, Yuwei Yang, Weinan Zhang, Yong Yu, Lei Li
MARS: Markov Molecular Sampling for Multi-objective Drug Discovery. CoRR (2021)
Chence Shi, Shitong Luo, Minkai Xu, Jian Tang
Learning Gradient Fields for Molecular Conformation Generation. CoRR (2021)
Hangrui Bi, Hengyi Wang, Chence Shi, Connor W. Coley, Jian Tang, Hongyu Guo
Non-Autoregressive Electron Redistribution Modeling for Reaction Prediction. CoRR (2021)
Yutong Xie, Chence Shi, Hao Zhou, Yuwei Yang, Weinan Zhang, Yong Yu, Lei Li
MARS: Markov Molecular Sampling for Multi-objective Drug Discovery. ICLR (2021)
Chence Shi, Minkai Xu, Hongyu Guo, Ming Zhang, Jian Tang
A Graph to Graphs Framework for Retrosynthesis Prediction. ICML (2020)
Chence Shi, Minkai Xu, Zhaocheng Zhu, Weinan Zhang, Ming Zhang, Jian Tang
GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation. CoRR (2020)
Chence Shi, Minkai Xu, Hongyu Guo, Ming Zhang, Jian Tang
A Graph to Graphs Framework for Retrosynthesis Prediction. CoRR (2020)
Hangrui Bi, Hengyi Wang, Chence Shi, Jian Tang
Non-autoregressive electron flow generation for reaction prediction. CoRR (2020)
Chence Shi, Minkai Xu, Zhaocheng Zhu, Weinan Zhang, Ming Zhang, Jian Tang
GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation. ICLR (2020)
Weiping Song, Chence Shi, Zhiping Xiao, Zhijian Duan, Yewen Xu, Ming Zhang, Jian Tang
AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks. CIKM (2019)
Weiping Song, Chence Shi, Zhiping Xiao, Zhijian Duan, Yewen Xu, Ming Zhang, Jian Tang
AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks. CoRR (2018)