Zhangming Niu

According to our database, Zhangming Niu authored at least 19 papers between 2019 and 2024.

Collaborative distances:

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

2024

Automated molecular structure segmentation from documents using ChemSAM.

Bowen Tang, Zhangming Niu, Xiaofeng Wang, Junjie Huang, Chao Ma, Jing Peng, Yinghui Jiang, Ruiquan Ge, Hongyu Hu, Luhao Lin, Guang Yang

J. Cheminformatics, December, 2024

Geometry-Based Molecular Generation With Deep Constrained Variational Autoencoder.

Chunyan Li, Junfeng Yao, Wei Wei, Zhangming Niu, Xiangxiang Zeng, Jin Li, Jianmin Wang

IEEE Trans. Neural Networks Learn. Syst., April, 2024

2023

An extensive benchmark study on biomedical text generation and mining with ChatGPT.

Qijie Chen, Haotong Sun, Haoyang Liu, Yinghui Jiang, Ting Ran, Xurui Jin, Xianglu Xiao, Zhimin Lin, Hongming Chen, Zhangming Niu

Bioinform., September, 2023

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

Xixi Yang, Zhangming Niu, Yuansheng Liu, Bosheng Song, Weiqiang Lu, Li Zeng, Xiangxiang Zeng

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Explaining Graph Neural Networks via Non-parametric Subgraph Matching.

Fang Wu, Siyuan Li, Lirong Wu, Dragomir Radev, Yinghui Jiang, Xurui Jin, Zhangming Niu, Stan Z. Li

CoRR, 2023

Rethinking Explaining Graph Neural Networks via Non-parametric Subgraph Matching.

Fang Wu, Siyuan Li, Xurui Jin, Yinghui Jiang, Dragomir Radev, Zhangming Niu, Stan Z. Li

Proceedings of the International Conference on Machine Learning, 2023

2022

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

Zhe Sun, Shuangjia Zheng, Huiying Zhao, Zhangming Niu, Yutong Lu, Yi Pan, Yuedong Yang

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Pre-training of Deep Protein Models with Molecular Dynamics Simulations for Drug Binding.

Fang Wu, Qiang Zhang, Dragomir R. Radev, Yuyang Wang, Xurui Jin, Yinghui Jiang, Zhangming Niu, Stan Z. Li

CoRR, 2022

Learning spatial structures of proteins improves protein-protein interaction prediction.

Bosheng Song, Xiaoyan Luo, Xiaoli Luo, Yuansheng Liu, Zhangming Niu, Xiangxiang Zeng

Briefings Bioinform., 2022

Robust weakly supervised learning for COVID-19 recognition using multi-center CT images.

Qinghao Ye, Yuan Gao, Weiping Ding, Zhangming Niu, Chengjia Wang, Yinghui Jiang, Minhao Wang, Evandro Fei Fang, Wade Menpes-Smith, Jun Xia, Guang Yang

Appl. Soft Comput., 2022

2021

PharmKG: a dedicated knowledge graph benchmark for bomedical data mining.

Shuangjia Zheng, Jiahua Rao, Ying Song, Jixian Zhang, Xianglu Xiao, Evandro Fei Fang, Yuedong Yang, Zhangming Niu

Briefings Bioinform., July, 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

Robust Weakly Supervised Learning for COVID-19 Recognition Using Multi-Center CT Images.

Qinghao Ye, Yuan Gao, Weiping Ding, Zhangming Niu, Chengjia Wang, Yinghui Jiang, Minhao Wang, Evandro Fei Fang, Wade Menpes-Smith, Jun Xia, Guang Yang

CoRR, 2021

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

Chunyan Li, Jianmin Wang, Zhangming Niu, Junfeng Yao, Xiangxiang Zeng

Briefings Bioinform., 2021

2020

SARA-GAN: Self-Attention and Relative Average Discriminator Based Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction.

Zhenmou Yuan, Mingfeng Jiang, Yaming Wang, Bo Wei, Yongming Li, Pin Wang, Wade Menpes-Smith, Zhangming Niu, Guang Yang

Frontiers Neuroinformatics, 2020

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

Shaoping Hu, Yuan Gao, Zhangming Niu, Yinghui Jiang, Lao Li, Xianglu Xiao, Minhao Wang, Evandro Fei Fang, Wade Menpes-Smith, Jun Xia, Hui Ye, Guang Yang

CoRR, 2020

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

Shaoping Hu, Yuan Gao, Zhangming Niu, Yinghui Jiang, Lao Li, Xianglu Xiao, Minhao Wang, Evandro Fei Fang, Wade Menpes-Smith, Jun Xia, Hui Ye, Guang Yang

IEEE Access, 2020

Communicative Representation Learning on Attributed Molecular Graphs.

Ying Song, Shuangjia Zheng, Zhangming Niu, Zhang-Hua Fu, Yutong Lu, Yuedong Yang

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Multi-modal Representation Learning for Short Video Understanding and Recommendation.

Daya Guo, Jiangshui Hong, Binli Luo, Qirui Yan, Zhangming Niu

Proceedings of the IEEE International Conference on Multimedia & Expo Workshops, 2019