A method for improving the reliability of causal inference from large-scale data in biomedicine. - Yitao Liu; Xiaoqing Lyu; Haihua Xie; Xiaotong Yan; Bei Wang 004; Zhi Tang 001 (BIBM, 2018)

Understanding Markush Structures in Chemistry Documents With Deep Learning. - Penghui Sun; Xiaoqing Lyu; Xin Li; Bei Wang 004; Xiaohan Yi; Zhi Tang 001 (BIBM, 2018)

A Free-Sketch Recognition Method for Chemical Structural Formula. - Penghui Sun; Yan Chen; Xiaoqing Lyu; Bei Wang 004; Jingwei Qu; Zhi Tang 001 (DAS, 2018)

PharmKi: A Retrieval System of Chemical Structural Formula Based on Graph Similarity. - Jingwei Qu; Xiaoqing Lyu; Chengcui Zhang; Penghui Sun; Bei Wang 004; Zhi Tang 001 (MIPR, 2018)

GNDD: A Graph Neural Network-Based Method for Drug-Disease Association Prediction. - Bei Wang 004; Xiaoqing Lyu; Jingwei Qu; Haowen Sun; Zehua Pan; Zhi Tang 001 (BIBM, 2019)

Comparison of Molecule Graph Representation with Similarity Consistency. - Bei Wang 004; Xiaoqing Lyu; Zhi Tang 001; Yifan Wang (BIBM, 2019)

A Retrieval System of Medicine Molecules Based on Graph Similarity. - Jingwei Qu; Penghui Sun; Xin Li; Bei Wang 004; Xiaoqing Lu; Zhi Tang 001; Chengcui Zhang (IEEE Multim., 2019)

An Enhanced LRMC Method for Drug Repositioning via GCN-based HIN Embedding. - Haowen Sun; Xiaoqing Lyu; Bei Wang 004; Yifan Wang; Zhi Tang 001; Zhenming Liu (BIBM, 2020)

Dual Autoencoder Network with Swap Reconstruction for Cold-Start Recommendation. - Bei Wang 004; Chenrui Zhang; Hao Zhang; Xiaoqing Lyu; Zhi Tang 001 (CIKM, 2020)

Attention-enhanced Graph Cross-convolution for Protein-Ligand Binding Affinity Prediction. - Xianbing Feng; Jingwei Qu; Tianle Wang 005; Bei Wang 004; Xiaoqing Lyu; Zhi Tang 001 (BIBM, 2021)

Understanding Multivariate Drug-Target-DiseaseInterdependence via Event-Graph. - Jingwei Qu; Bei Wang 004; Zhixun Li; Xiaoqing Lyu; Zhi Tang 001 (BIBM, 2021)

Partner-Specific Drug Repositioning Approach Based on Graph Convolutional Network. - Xinliang Sun; Bei Wang 004; Jie Zhang 122; Min Li 007 (IEEE J. Biomed. Health Informatics, 2022)

ECGFM: A foundation model for ECG analysis trained on a multi-center million-ECG dataset. - Shaoting Zhang 001; Yishan Du; Wenji Wang; Xianying He; Fangfang Cui; Liang Zhao 018; Bei Wang 004; Zhiqiang Hu; Ziqiang Wang; Qing Xia 002; Tian Shen; Jie Zhao 014 (Inf. Fusion, 2025)