Analysis of Computer Technology on Sports Technical Movement Characteristics of Model Test Research. - Yunwu Liu; Fenghao Sun (CSIA (2), 2021)

MultiGran-SMILES: multi-granularity SMILES learning for molecular property prediction. - Jing Jiang; Ruisheng Zhang; Zhili Zhao; Jun Ma; Yunwu Liu; Yongna Yuan; Bojuan Niu (Bioinform., 2022)

TranGRU: focusing on both the local and global information of molecules for molecular property prediction. - Jing Jiang; Ruisheng Zhang; Jun Ma; Yunwu Liu; Enjie Yang; Shikang Du; Zhili Zhao; Yongna Yuan (Appl. Intell., 2023)

Molecular representation contrastive learning via transformer embedding to graph neural networks. - Yunwu Liu; Ruisheng Zhang; Tongfeng Li; Jing Jiang; Jun Ma; Yongna Yuan; Ping Wang (Appl. Soft Comput., 2024)

Link prediction using deep autoencoder-like non-negative matrix factorization with L21-norm. - Tongfeng Li; Ruisheng Zhang; Yabing Yao; Yunwu Liu; Jun Ma (Appl. Intell., 2024)

Graph regularized autoencoding-inspired non-negative matrix factorization for link prediction in complex networks using clustering information and biased random walk. - Tongfeng Li; Ruisheng Zhang; Yabing Yao; Yunwu Liu; Jun Ma; Jianxin Tang (J. Supercomput., 2024)

Designing an adaptive learning framework for predicting drug-target affinity using reinforcement learning and graph neural networks. - Jun Ma; Zhili Zhao; Yunwu Liu; Tongfeng Li; Ruisheng Zhang (Eng. Appl. Artif. Intell., 2025)

Link prediction via robust bidirectional deep nonnegative matrix factorization. - Tongfeng Li; Ruisheng Zhang; Yabing Yao; Yunwu Liu; Jun Ma (Expert Syst. Appl., 2025)