Siyuan Liu

According to our database, Siyuan Liu authored at least 8 papers between 2021 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

Self-Consistency Training for Hamiltonian Prediction.

He Zhang, Chang Liu, Zun Wang, Xinran Wei, Siyuan Liu, Nanning Zheng, Bin Shao, Tie-Yan Liu

CoRR, 2024

Self-Consistency Training for Density-Functional-Theory Hamiltonian Prediction.

He Zhang, Chang Liu, Zun Wang, Xinran Wei, Siyuan Liu, Nanning Zheng, Bin Shao, Tie-Yan Liu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

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

Pre-training Co-evolutionary Protein Representation via A Pairwise Masked Language Model.

Liang He, Shizhuo Zhang, Lijun Wu, Huanhuan Xia, Fusong Ju, He Zhang, Siyuan Liu, Yingce Xia, Jianwei Zhu, Pan Deng, Bin Shao, Tao Qin, Tie-Yan Liu

CoRR, 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