A multi-task learning method for analyzing microbiota as cancer immunotherapy signal. - Changzhi Jiang; Yousi Fu; Shuting Jin; Xiangrong Liu; Baishan Fang; Xiangxiang Zeng (BIBM, 2020)

A Semantic Inference Based Method for Privacy Measurement. - Baocun Chen; Nafei Zhu; Jingsha He; Peng He; Shuting Jin; Shijia Pan (IEEE Access, 2020)

A Meta-Path based Drug-Target Prediction Model with Collaborative Attention Mechanisms. - Bing Hu; Feng Xia 007; Ruolan Chen; Shuting Jin; Xiangrong Liu (BIBM, 2021)

Application of deep learning methods in biological networks. - Shuting Jin; Xiangxiang Zeng; Feng Xia 007; Wei Huang; Xiangrong Liu (Briefings Bioinform., 2021)

Heterogeneous network-based drug repurposing for COVID-19. - Shuting Jin; Xiangxiang Zeng; Wei Huang; Feng Xia 007; Changzhi Jiang; Xiangrong Liu; Shaoliang Peng (CoRR, 2021)

An authorisation certificate-based access control model. - Wenxin Li; Jingsha He; Nafei Zhu; Shuting Jin; Da Teng (Int. J. Secur. Networks, 2021)

HeTDR: Drug repositioning based on heterogeneous networks and text mining. - Shuting Jin; Zhangming Niu; Changzhi Jiang; Wei Huang; Feng Xia 007; Xurui Jin; Xiangrong Liu; Xiangxiang Zeng (Patterns, 2021)

Tinkling: Research on the design of a Bianqing interactive system for children based on experiential learning. - Shuting Jin; Ning Zou (ISCID, 2022)

Drug-target interactions prediction via deep collaborative filtering with multiembeddings. - Ruolan Chen; Feng Xia 007; Bing Hu; Shuting Jin; Xiangrong Liu (Briefings Bioinform., 2022)

DeepTTA: a transformer-based model for predicting cancer drug response. - Likun Jiang; Changzhi Jiang; Xinyu Yu; Rao Fu; Shuting Jin; Xiangrong Liu (Briefings Bioinform., 2022)

preMLI: a pre-trained method to uncover microRNA-lncRNA potential interactions. - Xinyu Yu; Likun Jiang; Shuting Jin; Xiangxiang Zeng; Xiangrong Liu (Briefings Bioinform., 2022)

LaGAT: link-aware graph attention network for drug-drug interaction prediction. - Yue Hong; Pengyu Luo; Shuting Jin; Xiangrong Liu (Bioinform., 2022)

RareDR: A Drug Repositioning Approach for Rare Diseases Based on Knowledge Graph. - Yuehan Huang; Shuting Jin; Xinyu Yu; Changzhi Jiang; Zhengqiu Yu; Xiangrong Liu; Shaohui Huang (ICIC (3), 2023)

KGNMDA: A Knowledge Graph Neural Network Method for Predicting Microbe-Disease Associations. - Changzhi Jiang; Minli Tang; Shuting Jin; Wei Huang; Xiangrong Liu (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Improving molecular representation learning with metric learning-enhanced optimal transport. - Fang Wu 002; Nicolas Courty; Shuting Jin; Stan Z. Li (Patterns, 2023)

Chemical structure-aware molecular image representation learning. - Hongxin Xiang; Shuting Jin; Xiangrong Liu; Xiangxiang Zeng; Li Zeng (Briefings Bioinform., 2023)

A general hypergraph learning algorithm for drug multi-task predictions in micro-to-macro biomedical networks. - Shuting Jin; Yue Hong; Li Zeng; Yinghui Jiang; Yuan Lin; Leyi Wei; Zhuohang Yu; Xiangxiang Zeng; Xiangrong Liu (PLoS Comput. Biol., 2023)

An Image-enhanced Molecular Graph Representation Learning Framework. - Hongxin Xiang; Shuting Jin; Jun Xia; Man Zhou; Jianmin Wang 016; Li Zeng; Xiangxiang Zeng (IJCAI, 2024)

Instructor-inspired Machine Learning for Robust Molecular Property Prediction. - Fang Wu 002; Shuting Jin; Siyuan Li 002; Stan Z. Li (NeurIPS, 2024)

A self-adaptive wildfire detection algorithm by fusing physical and deep learning schemes. - Shuting Jin; Tianxing Wang 001; Huabing Huang; Xiaopo Zheng; Tongwen Li; Zhou Guo (Int. J. Appl. Earth Obs. Geoinformation, 2024)

Modeling the dissemination of privacy information in online social networks. - Nafei Zhu; Wenhui Li; Shijia Pan; Shuting Jin; Jingsha He (Trans. Emerg. Telecommun. Technol., 2024)

Adaptive symmetry-based adversarial perturbation augmentation for molecular graph representations with dual-fusion attention information. - Shuting Jin; Xiangrong Liu; Junlin Xu; Sisi Yuan; Hongxing Xiang; Lian Shen; Chunyan Li 002; Zhangming Niu; Yinhui Jiang (Inf. Fusion, 2025)