Zhangming Niu

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 19

Top Topics

Subgraph Matching

Weakly Supervised

Top Venues

Briefings Bioinform.

IEEE ACM Trans. Comput. Biol. Bioinform.

Publications

Bowen Tang, Zhangming Niu, Xiaofeng Wang, Junjie Huang, Chao Ma, Jing Peng, Yinghui Jiang, Ruiquan Ge, Hongyu Hu, Luhao Lin, Guang Yang
Automated molecular structure segmentation from documents using ChemSAM. J. Cheminformatics 16 (1) (2024)
Chunyan Li, Junfeng Yao, Wei Wei, Zhangming Niu, Xiangxiang Zeng, Jin Li, Jianmin Wang
Geometry-Based Molecular Generation With Deep Constrained Variational Autoencoder. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Fang Wu, Siyuan Li, Lirong Wu, Dragomir Radev, Yinghui Jiang, Xurui Jin, Zhangming Niu, Stan Z. Li
Explaining Graph Neural Networks via Non-parametric Subgraph Matching. CoRR (2023)
Qijie Chen, Haotong Sun, Haoyang Liu, Yinghui Jiang, Ting Ran, Xurui Jin, Xianglu Xiao, Zhimin Lin, Hongming Chen, Zhangming Niu
An extensive benchmark study on biomedical text generation and mining with ChatGPT. Bioinform. 39 (9) (2023)
Fang Wu, Siyuan Li, Xurui Jin, Yinghui Jiang, Dragomir Radev, Zhangming Niu, Stan Z. Li
Rethinking Explaining Graph Neural Networks via Non-parametric Subgraph Matching. ICML (2023)
Xixi Yang, Zhangming Niu, Yuansheng Liu, Bosheng Song, Weiqiang Lu, Li Zeng, Xiangxiang Zeng
Modality-DTA: Multimodality Fusion Strategy for Drug-Target Affinity Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (2) (2023)
Fang Wu, Qiang Zhang, Dragomir R. Radev, Yuyang Wang, Xurui Jin, Yinghui Jiang, Zhangming Niu, Stan Z. Li
Pre-training of Deep Protein Models with Molecular Dynamics Simulations for Drug Binding. CoRR (2022)
Bosheng Song, Xiaoyan Luo, Xiaoli Luo, Yuansheng Liu, Zhangming Niu, Xiangxiang Zeng
Learning spatial structures of proteins improves protein-protein interaction prediction. Briefings Bioinform. 23 (2) (2022)
Qinghao Ye, Yuan Gao, Weiping Ding, Zhangming Niu, Chengjia Wang, Yinghui Jiang, Minhao Wang, Evandro Fei Fang, Wade Menpes-Smith, Jun Xia, Guang Yang
Robust weakly supervised learning for COVID-19 recognition using multi-center CT images. Appl. Soft Comput. 116 (2022)
Zhe Sun, Shuangjia Zheng, Huiying Zhao, Zhangming Niu, Yutong Lu, Yi Pan, Yuedong Yang
To Improve Prediction of Binding Residues With DNA, RNA, Carbohydrate, and Peptide Via Multi-Task Deep Neural Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (6) (2022)
Qinghao Ye, Yuan Gao, Weiping Ding, Zhangming Niu, Chengjia Wang, Yinghui Jiang, Minhao Wang, Evandro Fei Fang, Wade Menpes-Smith, Jun Xia, Guang Yang
Robust Weakly Supervised Learning for COVID-19 Recognition Using Multi-Center CT Images. CoRR (2021)
Shuangjia Zheng, Jiahua Rao, Ying Song, Jixian Zhang, Xianglu Xiao, Evandro Fei Fang, Yuedong Yang, Zhangming Niu
PharmKG: a dedicated knowledge graph benchmark for bomedical data mining. Briefings Bioinform. 22 (4) (2021)
Shuting Jin, Zhangming Niu, Changzhi Jiang, Wei Huang, Feng Xia, Xurui Jin, Xiangrong Liu, Xiangxiang Zeng
HeTDR: Drug repositioning based on heterogeneous networks and text mining. Patterns 2 (8) (2021)
Chunyan Li, Jianmin Wang, Zhangming Niu, Junfeng Yao, Xiangxiang Zeng
A spatial-temporal gated attention module for molecular property prediction based on molecular geometry. Briefings Bioinform. 22 (5) (2021)
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
Weakly Supervised Deep Learning for COVID-19 Infection Detection and Classification From CT Images. IEEE Access 8 (2020)
Ying Song, Shuangjia Zheng, Zhangming Niu, Zhang-Hua Fu, Yutong Lu, Yuedong Yang
Communicative Representation Learning on Attributed Molecular Graphs. IJCAI (2020)
Zhenmou Yuan, Mingfeng Jiang, Yaming Wang, Bo Wei, Yongming Li, Pin Wang, Wade Menpes-Smith, Zhangming Niu, Guang Yang
SARA-GAN: Self-Attention and Relative Average Discriminator Based Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction. Frontiers Neuroinformatics 14 (2020)
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
Weakly Supervised Deep Learning for COVID-19 Infection Detection and Classification from CT Images. CoRR (2020)
Daya Guo, Jiangshui Hong, Binli Luo, Qirui Yan, Zhangming Niu
Multi-modal Representation Learning for Short Video Understanding and Recommendation. ICME Workshops (2019)