Shuting Jin

According to our database, Shuting Jin authored at least 24 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

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, Zhangming Niu, Yinhui Jiang

Inf. Fusion, 2025

An image-based protein-ligand binding representation learning framework via multi-level flexible dynamics trajectory pre-training.

Hongxin Xiang, Mingquan Liu, Linlin Hou, Shuting Jin, Jianmin Wang, Jun Xia, Wenjie Du, Sisi Yuan, Xiangzheng Fu, Xinyu Yang, Li Zeng, Lei Xu

Bioinform., 2025

Surface-based Molecular Design with Multi-modal Flow Matching.

Fang Wu, Zhengyuan Zhou, Shuting Jin, Xiangxiang Zeng, Jure Leskovec, Jinbo Xu

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

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., June, 2024

A self-adaptive wildfire detection algorithm by fusing physical and deep learning schemes.

Shuting Jin, Tianxing Wang, Huabing Huang, Xiaopo Zheng, Tongwen Li, Zhou Guo

Int. J. Appl. Earth Obs. Geoinformation, 2024

Instructor-inspired Machine Learning for Robust Molecular Property Prediction.

Fang Wu, Shuting Jin, Siyuan Li, Stan Z. Li

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

An Image-enhanced Molecular Graph Representation Learning Framework.

Hongxin Xiang, Shuting Jin, Jun Xia, Man Zhou, Jianmin Wang, Li Zeng, Xiangxiang Zeng

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

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., November, 2023

Chemical structure-aware molecular image representation learning.

Hongxin Xiang, Shuting Jin, Xiangrong Liu, Xiangxiang Zeng, Li Zeng

Briefings Bioinform., September, 2023

Improving molecular representation learning with metric learning-enhanced optimal transport.

Fang Wu, Nicolas Courty, Shuting Jin, Stan Z. Li

Patterns, April, 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

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

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

2022

LaGAT: link-aware graph attention network for drug-drug interaction prediction.

Yue Hong, Pengyu Luo, Shuting Jin, Xiangrong Liu

Bioinform., December, 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

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

Drug-target interactions prediction via deep collaborative filtering with multiembeddings.

Ruolan Chen, Feng Xia, Bing Hu, Shuting Jin, Xiangrong Liu

Briefings Bioinform., 2022

Tinkling: Research on the design of a Bianqing interactive system for children based on experiential learning.

Shuting Jin, Ning Zou

Proceedings of the 15th International Symposium on Computational Intelligence and Design, 2022

2021

HeTDR: Drug repositioning based on heterogeneous networks and text mining.

Shuting Jin, Zhangming Niu, Changzhi Jiang, Wei Huang, Feng Xia, Xurui Jin, Xiangrong Liu, Xiangxiang Zeng

Patterns, 2021

An authorisation certificate-based access control model.

Wenxin Li, Jingsha He, Nafei Zhu, Shuting Jin, Da Teng

Int. J. Secur. Networks, 2021

Heterogeneous network-based drug repurposing for COVID-19.

Shuting Jin, Xiangxiang Zeng, Wei Huang, Feng Xia, Changzhi Jiang, Xiangrong Liu, Shaoliang Peng

CoRR, 2021

Application of deep learning methods in biological networks.

Shuting Jin, Xiangxiang Zeng, Feng Xia, Wei Huang, Xiangrong Liu

Briefings Bioinform., 2021

A Meta-Path based Drug-Target Prediction Model with Collaborative Attention Mechanisms.

Bing Hu, Feng Xia, Ruolan Chen, Shuting Jin, Xiangrong Liu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

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 multi-task learning method for analyzing microbiota as cancer immunotherapy signal.

Changzhi Jiang, Yousi Fu, Shuting Jin, Xiangrong Liu, Baishan Fang, Xiangxiang Zeng

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020