Tong Wang

According to our database, Tong Wang authored at least 16 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Overcoming the barrier of orbital-free density functional theory for molecular systems using deep learning.

He Zhang, Siyuan Liu, Jiacheng You, Chang Liu, Shuxin Zheng, Ziheng Lu, Tong Wang, Nanning Zheng, Bin Shao

Nat. Comput. Sci., 2024

2023

DSN-DDI: an accurate and generalized framework for drug-drug interaction prediction by dual-view representation learning.

Zimeng Li, Shichao Zhu, Bin Shao, Xiangxiang Zeng, Tong Wang, Tie-Yan Liu

Briefings Bioinform., January, 2023

M-OFDFT: Overcoming the Barrier of Orbital-Free Density Functional Theory for Molecular Systems Using Deep Learning.

He Zhang, Siyuan Liu, Jiacheng You, Chang Liu, Shuxin Zheng, Ziheng Lu, Tong Wang, Nanning Zheng, Bin Shao

CoRR, 2023

Efficiently incorporating quintuple interactions into geometric deep learning force fields.

Zun Wang, Guoqing Liu, Yichi Zhou, Tong Wang, Bin Shao

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Geometric Transformer with Interatomic Positional Encoding.

Yusong Wang, Shaoning Li, Tong Wang, Bin Shao, Nanning Zheng, Tie-Yan Liu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Direct Molecular Conformation Generation.

Jinhua Zhu, Yingce Xia, Chang Liu, Lijun Wu, Shufang Xie, Yusong Wang, Tong Wang, Tao Qin, Wengang Zhou, Houqiang Li, Haiguang Liu, Tie-Yan Liu

Trans. Mach. Learn. Res., 2022

An ensemble of VisNet, Transformer-M, and pretraining models for molecular property prediction in OGB Large-Scale Challenge @ NeurIPS 2022.

Yusong Wang, Shaoning Li, Tong Wang, Zun Wang, Xinheng He, Bin Shao, Tie-Yan Liu

CoRR, 2022

Tailoring Molecules for Protein Pockets: a Transformer-based Generative Solution for Structured-based Drug Design.

Kehan Wu, Yingce Xia, Yang Fan, Pan Deng, Haiguang Liu, Lijun Wu, Shufang Xie, Tong Wang, Tao Qin, Tie-Yan Liu

CoRR, 2022

Multi-View Substructure Learning for Drug-Drug Interaction Prediction.

Zimeng Li, Shichao Zhu, Bin Shao, Tie-Yan Liu, Xiangxiang Zeng, Tong Wang

CoRR, 2022

Direct Molecular Conformation Generation.

Jinhua Zhu, Yingce Xia, Chang Liu, Lijun Wu, Shufang Xie, Tong Wang, Yusong Wang, Wengang Zhou, Tao Qin, Houqiang Li, Tie-Yan Liu

CoRR, 2022

Improved drug-target interaction prediction with intermolecular graph transformer.

Siyuan Liu, Yusong Wang, Yifan Deng, Liang He, Bin Shao, Jian Yin, Nanning Zheng, Tie-Yan Liu, Tong Wang

Briefings Bioinform., 2022

2021

SAMF: a self-adaptive protein modeling framework.

Wenze Ding, Qijiang Xu, Siyuan Liu, Tong Wang, Bin Shao, Haipeng Gong, Tie-Yan Liu

Bioinform., November, 2021

Complementing sequence-derived features with structural information extracted from fragment libraries for protein structure prediction.

Siyuan Liu, Tong Wang, Qijiang Xu, Bin Shao, Jian Yin, Tie-Yan Liu

BMC Bioinform., 2021

2019

Improved fragment sampling for ab initio protein structure prediction using deep neural networks.

Tong Wang, Yanhua Qiao, Wenze Ding, Wenzhi Mao, Yaoqi Zhou, Haipeng Gong

Nat. Mach. Intell., 2019

2018

Identification of residue pairing in interacting β-strands from a predicted residue contact map.

Wenzhi Mao, Tong Wang, Wenxuan Zhang, Haipeng Gong

BMC Bioinform., 2018

2017

LRFragLib: an effective algorithm to identify fragments for de novo protein structure prediction.

Tong Wang, Yuedong Yang, Yaoqi Zhou, Haipeng Gong

Bioinform., 2017