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2020 – today
- 2025
[j13]Xiaodan Xing, Chunling Tang, Siofra Murdoch, Giorgos Papanastasiou, Yunzhe Guo, Xianglu Xiao, Jan Oscar Cross-Zamirski, Carola-Bibiane Schönlieb, Kristina Xiao Liang, Zhangming Niu, Evandro Fei Fang, Yinhai Wang, Guang Yang:
Artificial immunofluorescence in a flash: Rapid synthetic imaging from brightfield through residual diffusion. Neurocomputing 612: 128715 (2025)- 2024
- [j12]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): 29 (2024) - [j11]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): 4852-4861 (2024) - 2023
- [j10]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) - [j9]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): 1200-1210 (2023) - [c3]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: 37511-37523 - [i4]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 abs/2301.02780 (2023) - 2022
- [j8]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: 108291 (2022) - [j7]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) - [j6]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): 3735-3743 (2022) - [i3]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 abs/2204.08663 (2022) - 2021
- [j5]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) - [j4]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) - [j3]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): 100307 (2021) - [i2]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 abs/2112.04984 (2021) - 2020
- [j2]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: 118869-118883 (2020) - [j1]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: 611666 (2020) - [c2]Ying Song, Shuangjia Zheng, Zhangming Niu, Zhang-Hua Fu, Yutong Lu, Yuedong Yang:
Communicative Representation Learning on Attributed Molecular Graphs. IJCAI 2020: 2831-2838 - [i1]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 abs/2004.06689 (2020)
2010 – 2019
- 2019
- [c1]Daya Guo, Jiangshui Hong, Binli Luo, Qirui Yan, Zhangming Niu:
Multi-modal Representation Learning for Short Video Understanding and Recommendation. ICME Workshops 2019: 687-690
Coauthor Index
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