Zhangming Niu

发表

Deep learning enables discovery of highly potent anti-osteoporosis natural products.

Zhihong Liu, Dane Huang, Shuangjia Zheng, 2020, European journal of medicinal chemistry.

A research agenda for ageing in China in the 21st century (2nd edition): Focusing on basic and translational research, long-term care, policy and social networks

J. Woo, T. Tong, S. Leng, 2020, Ageing Research Reviews.

To improve the predictions of binding residues with DNA, RNA, carbohydrate, and peptide via multiple-task deep neural networks

Yi Pan, Yuedong Yang, Huiying Zhao, 2020, bioRxiv.

Systematic and Comprehensive Automated Ventricle Segmentation on Ventricle Images of the Elderly Patients: A Retrospective Study

Zhangming Niu, Zhi Liu, E. Fang, 2020, Frontiers in Aging Neuroscience.

Weakly Supervised Deep Learning for COVID-19 Infection Detection and Classification From CT Images

Yuan Gao, Guang Yang, Zhangming Niu, 2020, IEEE Access.

Amelioration of Alzheimer’s disease pathology by mitophagy inducers identified via machine learning and a cross-species workflow

K. Caldwell, G. Caldwell, K. Palikaras, 2022, Nature Biomedical Engineering.

Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans

Angelica I. Avilés-Rivero, J. H. Rudd, Mishal N. Patel, 2020, Nature Machine Intelligence.

PharmKG: a dedicated knowledge graph benchmark for bomedical data mining

Yuedong Yang, Shuangjia Zheng, Ying Song, 2020, Briefings Bioinform..

Learning spatial structures of proteins improves protein-protein interaction prediction

Xiangxiang Zeng, Yuansheng Liu, Zhangming Niu, 2022, Briefings Bioinform..

Modality-DTA: Multimodality Fusion Strategy for Drug–Target Affinity Prediction

Xiangxiang Zeng, Yuansheng Liu, Weiqiang Lu, 2022, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

A spatial-temporal gated attention module for molecular property prediction based on molecular geometry

Xiangxiang Zeng, Jianmin Wang, Junfeng Yao, 2021, Briefings Bioinform..

Communicative Representation Learning on Attributed Molecular Graphs

Yuedong Yang, Yutong Lu, Shuangjia Zheng, 2020, IJCAI.

To Improve Prediction of Binding Residues With DNA, RNA, Carbohydrate, and Peptide Via Multi-Task Deep Neural Networks

Yuedong Yang, Huiying Zhao, Yutong Lu, 2021, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Geometry-Based Molecular Generation With Deep Constrained Variational Autoencoder

Xiangxiang Zeng, Zhangming Niu, Wei Wei, 2022, IEEE Transactions on Neural Networks and Learning Systems.