LRFragLib: an effective algorithm to identify fragments for de novo protein structure prediction. - Tong Wang 014; Yuedong Yang; Yaoqi Zhou; Haipeng Gong (Bioinform., 2017)

Identification of residue pairing in interacting β-strands from a predicted residue contact map. - Wenzhi Mao; Tong Wang 014; Wenxuan Zhang; Haipeng Gong (BMC Bioinform., 2018)

Improved fragment sampling for ab initio protein structure prediction using deep neural networks. - Tong Wang 014; Yanhua Qiao; Wenze Ding; Wenzhi Mao; Yaoqi Zhou; Haipeng Gong (Nat. Mach. Intell., 2019)

Complementing sequence-derived features with structural information extracted from fragment libraries for protein structure prediction. - Siyuan Liu 005; Tong Wang 014; Qijiang Xu; Bin Shao; Jian Yin 001; Tie-Yan Liu (BMC Bioinform., 2021)

SAMF: a self-adaptive protein modeling framework. - Wenze Ding; Qijiang Xu; Siyuan Liu 005; Tong Wang 014; Bin Shao; Haipeng Gong; Tie-Yan Liu (Bioinform., 2021)

Improved drug-target interaction prediction with intermolecular graph transformer. - Siyuan Liu 005; Yusong Wang; Yifan Deng; Liang He 010; Bin Shao; Jian Yin 001; Nanning Zheng 001; Tie-Yan Liu; Tong Wang 014 (Briefings Bioinform., 2022)

Direct Molecular Conformation Generation. - Jinhua Zhu 001; Yingce Xia; Chang Liu 030; Lijun Wu 003; Shufang Xie 003; Tong Wang 014; Yusong Wang; Wengang Zhou 001; Tao Qin 001; Houqiang Li; 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 014 (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 003; Shufang Xie 003; Tong Wang 014; Tao Qin 001; Tie-Yan Liu (CoRR, 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 014; Zun Wang; Xinheng He; Bin Shao; Tie-Yan Liu (CoRR, 2022)

Direct Molecular Conformation Generation. - Jinhua Zhu 001; Yingce Xia; Chang Liu 030; Lijun Wu 003; Shufang Xie 003; Yusong Wang; Tong Wang 014; Tao Qin 001; Wengang Zhou 001; Houqiang Li; Haiguang Liu; Tie-Yan Liu (Trans. Mach. Learn. Res., 2022)

Geometric Transformer with Interatomic Positional Encoding. - Yusong Wang; Shaoning Li; Tong Wang 014; Bin Shao; Nanning Zheng 001; Tie-Yan Liu (NeurIPS, 2023)

Efficiently incorporating quintuple interactions into geometric deep learning force fields. - Zun Wang; Guoqing Liu; Yichi Zhou; Tong Wang 014; Bin Shao (NeurIPS, 2023)

M-OFDFT: Overcoming the Barrier of Orbital-Free Density Functional Theory for Molecular Systems Using Deep Learning. - He Zhang; Siyuan Liu 005; Jiacheng You; Chang Liu 030; Shuxin Zheng; Ziheng Lu; Tong Wang 014; Nanning Zheng 001; Bin Shao (CoRR, 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 014; Tie-Yan Liu (Briefings Bioinform., 2023)

Long-Short-Range Message-Passing: A Physics-Informed Framework to Capture Non-Local Interaction for Scalable Molecular Dynamics Simulation. - Yunyang Li; Yusong Wang; Lin Huang; Han Yang; Xinran Wei; Jia Zhang 004; Tong Wang 014; Zun Wang; Bin Shao; Tie-Yan Liu (ICLR, 2024)

Overcoming the barrier of orbital-free density functional theory for molecular systems using deep learning. - He Zhang; Siyuan Liu 005; Jiacheng You; Chang Liu 030; Shuxin Zheng; Ziheng Lu; Tong Wang 014; Nanning Zheng 001; Bin Shao (Nat. Comput. Sci., 2024)

An Embedded-GPU-Based Scheme for Real-Time Imaging Processing of Unmanned Aerial Vehicle Borne Video Synthetic Aperture Radar. - Tao Yang 032; Xinyu Zhang; Qingbo Xu; Shuangxi Zhang; Tong Wang 014 (Remote. Sens., 2024)

Miniaturization Design of High-Integration Unmanned Aerial Vehicle-Borne Video Synthetic Aperture Radar Real-Time Imaging Processing Component. - Tao Yang 032; Tong Wang 014; Nanning Zheng 001; Shuangxi Zhang; Fanteng Meng; Xinyu Zhang; Qirui Wu (Remote. Sens., 2024)