Collaborative Filtering based Recommendation Algorithm for Recommending Active Molecules for Protein Targets. - Jun Ma 037; Hongxin An; Ruisheng Zhang; Rongjing Hu (BIBM, 2018)

Using improved Restricted Boltzmann Machines for drug-disease Prediction. - Jun Ma 037; Yongna Yuan; Mingchao Guo (ICDLT, 2018)

Using Hybrid Similarity-Based Collaborative Filtering Method for Compound Activity Prediction. - Jun Ma 037; Ruisheng Zhang; Yongna Yuan; Zhili Zhao (ICIC (2), 2018)

Using the Encoder Embedded Framework of Dimensionality Reduction Based on Multiple Drugs Properties for Drug Recommendation. - Jun Ma 037; Ruisheng Zhang; Rongjing Hu; Yong Mu (ICSI (2), 2018)

Research on Elementary School Students' Books Recommendation Algorithm Based on Words and Character Library. - Yufeng Chen; Jun Ma 037; Yaqiong Du; Rui Sun; Bojuan Niu (ICAIIS, 2021)

Drug Repositioning Prediction Based on Multi-source Data and Multi-tasking Models. - Jun Ma 037; Zezhou Yang; Bojuan Niu; Longquan Ruan (SPML, 2021)

MultiGran-SMILES: multi-granularity SMILES learning for molecular property prediction. - Jing Jiang; Ruisheng Zhang; Zhili Zhao; Jun Ma 037; Yunwu Liu; Yongna Yuan; Bojuan Niu (Bioinform., 2022)

A novel link prediction algorithm based on inductive matrix completion. - Zhili Zhao; Zhuoyue Gou; Yuhong Du; Jun Ma 037; Tongfeng Li; Ruisheng Zhang (Expert Syst. Appl., 2022)

A Secure Authentication Scheme for Wireless Sensor Networks Based on DAC and Intel SGX. - Xin Liu 114; Zhenbin Guo; Jun Ma 037; Yuchen Song (IEEE Internet Things J., 2022)

TranGRU: focusing on both the local and global information of molecules for molecular property prediction. - Jing Jiang; Ruisheng Zhang; Jun Ma 037; 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 037; Yongna Yuan; Ping Wang (Appl. Soft Comput., 2024)

Link Prediction Based On Local Structure And Node Information Along Local Paths. - Tongfeng Li; Ruisheng Zhang; Bojuan Niu; Yabing Yao; Jun Ma 037; Jing Jiang; Zhili Zhao (Comput. J., 2024)

Link prediction using deep autoencoder-like non-negative matrix factorization with L21-norm. - Tongfeng Li; Ruisheng Zhang; Yabing Yao; Yunwu Liu; Jun Ma 037 (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 037; Jianxin Tang (J. Supercomput., 2024)

Asynchronous Architecture Design and Implementation of Physical Memory Protection for RISC-V. - Anping He; Yunpeng Xing; Jingye Zhong; Weimin Wang; Yinglong Li; Jun Ma 037 (ISCAS, 2025)

Designing an adaptive learning framework for predicting drug-target affinity using reinforcement learning and graph neural networks. - Jun Ma 037; 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 037 (Expert Syst. Appl., 2025)