Chence Shi - RankMe

27 papers A* 11A 1Journal 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Atomic Trajectory Modeling with State Space Models for Biomolecular Dynamics. CoRR Liang Shi, Jiarui Lu, Junqi Liu, Chence Shi, Zhi Yang, Jian Tang
2026	J	`jnl`	Property-driven Protein Inverse Folding With Multi-Objective Preference Alignment. CoRR Xiaoyang Hou, Junqi Liu, Chence Shi, Xin Liu, Zhi Yang, Jian Tang
2025	A*	`conf`	Structure Language Models for Protein Conformation Generation. ICLR Jiarui Lu, Xiaoyin Chen, Stephen Zhewen Lu, Chence Shi, Hongyu Guo, Yoshua Bengio, Jian Tang
2024	J	`jnl`	Fusing Neural and Physical: Augment Protein Conformation Sampling with Tractable Simulations. CoRR Jiarui Lu, Zuobai Zhang, Bozitao Zhong, Chence Shi, Jian Tang
2024	J	`jnl`	Structure Language Models for Protein Conformation Generation. CoRR Jiarui Lu, Xiaoyin Chen, Stephen Zhewen Lu, Chence Shi, Hongyu Guo, Yoshua Bengio, Jian Tang
2023	A*	`conf`	E3Bind: An End-to-End Equivariant Network for Protein-Ligand Docking. ICLR Yangtian Zhang, Huiyu Cai, Chence Shi, Jian Tang
2023	A*	`conf`	Protein Sequence and Structure Co-Design with Equivariant Translation. ICLR Chence Shi, Chuanrui Wang, Jiarui Lu, Bozitao Zhong, Jian Tang
2022	J	`jnl`	E3Bind: An End-to-End Equivariant Network for Protein-Ligand Docking. CoRR Yangtian Zhang, Huiyu Cai, Chence Shi, Bozitao Zhong, Jian Tang
2022	A*	`conf`	GeoDiff: A Geometric Diffusion Model for Molecular Conformation Generation. ICLR Minkai Xu, Lantao Yu, Yang Song, Chence Shi, Stefano Ermon, Jian Tang
2022	J	`jnl`	GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation. CoRR Minkai Xu, Lantao Yu, Yang Song, Chence Shi, Stefano Ermon, Jian Tang
2022	J	`jnl`	Protein Sequence and Structure Co-Design with Equivariant Translation. CoRR Chence Shi, Chuanrui Wang, Jiarui Lu, Bozitao Zhong, Jian Tang
2022	J	`jnl`	TorchDrug: A Powerful and Flexible Machine Learning Platform for Drug Discovery. CoRR Zhaocheng Zhu, Chence Shi, Zuobai Zhang, Shengchao Liu, Minghao Xu, Xinyu Yuan, Yangtian Zhang, Jun-Kun Chen, Huiyu Cai, Jiarui Lu, Chang Ma, Runcheng Liu, Louis-Pascal A. C. Xhonneux, Meng Qu, Jian Tang
2021	A*	`conf`	An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming. ICML Minkai Xu, Wujie Wang, Shitong Luo, Chence Shi, Yoshua Bengio, Rafael Gómez-Bombarelli, Jian Tang
2021	J	`jnl`	An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming. CoRR Minkai Xu, Wujie Wang, Shitong Luo, Chence Shi, Yoshua Bengio, Rafael Gómez-Bombarelli, Jian Tang
2021	A*	`conf`	Learning Gradient Fields for Molecular Conformation Generation. ICML Chence Shi, Shitong Luo, Minkai Xu, Jian Tang
2021	J	`jnl`	Learning Gradient Fields for Molecular Conformation Generation. CoRR Chence Shi, Shitong Luo, Minkai Xu, Jian Tang
2021	A*	`conf`	MARS: Markov Molecular Sampling for Multi-objective Drug Discovery. ICLR Yutong Xie, Chence Shi, Hao Zhou, Yuwei Yang, Weinan Zhang, Yong Yu, Lei Li
2021	J	`jnl`	MARS: Markov Molecular Sampling for Multi-objective Drug Discovery. CoRR Yutong Xie, Chence Shi, Hao Zhou, Yuwei Yang, Weinan Zhang, Yong Yu, Lei Li
2021	A*	`conf`	Non-Autoregressive Electron Redistribution Modeling for Reaction Prediction. ICML Hangrui Bi, Hengyi Wang, Chence Shi, Connor W. Coley, Jian Tang, Hongyu Guo
2021	J	`jnl`	Non-Autoregressive Electron Redistribution Modeling for Reaction Prediction. CoRR Hangrui Bi, Hengyi Wang, Chence Shi, Connor W. Coley, Jian Tang, Hongyu Guo
2021	A*	`conf`	Predicting Molecular Conformation via Dynamic Graph Score Matching. NeurIPS Shitong Luo, Chence Shi, Minkai Xu, Jian Tang
2020	A*	`conf`	A Graph to Graphs Framework for Retrosynthesis Prediction. ICML Chence Shi, Minkai Xu, Hongyu Guo, Ming Zhang, Jian Tang
2020	J	`jnl`	A Graph to Graphs Framework for Retrosynthesis Prediction. CoRR Chence Shi, Minkai Xu, Hongyu Guo, Ming Zhang, Jian Tang
2020	A*	`conf`	GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation. ICLR Chence Shi, Minkai Xu, Zhaocheng Zhu, Weinan Zhang, Ming Zhang, Jian Tang
2020	J	`jnl`	GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation. CoRR Chence Shi, Minkai Xu, Zhaocheng Zhu, Weinan Zhang, Ming Zhang, Jian Tang
2019	A	`conf`	AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks. CIKM Weiping Song, Chence Shi, Zhiping Xiao, Zhijian Duan, Yewen Xu, Ming Zhang, Jian Tang
2018	J	`jnl`	AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks. CoRR Weiping Song, Chence Shi, Zhiping Xiao, Zhijian Duan, Yewen Xu, Ming Zhang, Jian Tang