Zhangming Niu - RankMe

23 papers A* 2Journal 19Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Adaptive symmetry-based adversarial perturbation augmentation for molecular graph representations with dual-fusion attention information. Inf. Fusion Shuting Jin, Xiangrong Liu, Junlin Xu, Sisi Yuan, Hongxing Xiang, Lian Shen, Chunyan Li, Zhangming Niu, Yinhui Jiang
2025	J	`jnl`	Artificial immunofluorescence in a flash: Rapid synthetic imaging from brightfield through residual diffusion. Neurocomputing 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
2024	—	`conf`	A Smart Strategy for Photoresponsive Molecules: Utilizing Generative Pre-trained Transformer and TDDFT Calculations in Drug Delivery. EMBC Junjie Hu, Peng Wu, Qi Li, Shiyi Wang, Xianglu Xiao, Zhangming Niu, Binju Wang, Guang Yang
2024	J	`jnl`	Automated molecular structure segmentation from documents using ChemSAM. J. Cheminformatics Bowen Tang, Zhangming Niu, Xiaofeng Wang, Junjie Huang, Chao Ma, Jing Peng, Yinghui Jiang, Ruiquan Ge, Hongyu Hu, Luhao Lin, Guang Yang
2024	J	`jnl`	Geometry-Based Molecular Generation With Deep Constrained Variational Autoencoder. IEEE Trans. Neural Networks Learn. Syst. Chunyan Li, Junfeng Yao, Wei Wei, Zhangming Niu, Xiangxiang Zeng, Jin Li, Jianmin Wang
2024	J	`jnl`	How Good are Current Pocket-Based 3D Generative Models?: The Benchmark Set and Evaluation of Protein Pocket-Based 3D Molecular Generative Models. J. Chem. Inf. Model. Haoyang Liu, Yifei Qin, Zhangming Niu, Mingyuan Xu, Jiaqiang Wu, Xianglu Xiao, Jinping Lei, Ting Ran, Hongming Chen
2023	J	`jnl`	An extensive benchmark study on biomedical text generation and mining with ChatGPT. Bioinform. Qijie Chen, Haotong Sun, Haoyang Liu, Yinghui Jiang, Ting Ran, Xurui Jin, Xianglu Xiao, Zhimin Lin, Hongming Chen, Zhangming Niu
2023	J	`jnl`	Explaining Graph Neural Networks via Non-parametric Subgraph Matching. CoRR Fang Wu, Siyuan Li, Lirong Wu, Dragomir Radev, Yinghui Jiang, Xurui Jin, Zhangming Niu, Stan Z. Li
2023	J	`jnl`	Modality-DTA: Multimodality Fusion Strategy for Drug-Target Affinity Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. Xixi Yang, Zhangming Niu, Yuansheng Liu, Bosheng Song, Weiqiang Lu, Li Zeng, Xiangxiang Zeng
2023	A*	`conf`	Rethinking Explaining Graph Neural Networks via Non-parametric Subgraph Matching. ICML Fang Wu, Siyuan Li, Xurui Jin, Yinghui Jiang, Dragomir Radev, Zhangming Niu, Stan Z. Li
2022	J	`jnl`	Learning spatial structures of proteins improves protein-protein interaction prediction. Briefings Bioinform. Bosheng Song, Xiaoyan Luo, Xiaoli Luo, Yuansheng Liu, Zhangming Niu, Xiangxiang Zeng
2022	J	`jnl`	Pre-training of Deep Protein Models with Molecular Dynamics Simulations for Drug Binding. CoRR Fang Wu, Qiang Zhang, Dragomir R. Radev, Yuyang Wang, Xurui Jin, Yinghui Jiang, Zhangming Niu, Stan Z. Li
2022	J	`jnl`	Robust weakly supervised learning for COVID-19 recognition using multi-center CT images. Appl. Soft Comput. Qinghao Ye, Yuan Gao, Weiping Ding, Zhangming Niu, Chengjia Wang, Yinghui Jiang, Minhao Wang, Evandro Fei Fang, Wade Menpes-Smith, Jun Xia, Guang Yang
2022	J	`jnl`	To Improve Prediction of Binding Residues With DNA, RNA, Carbohydrate, and Peptide Via Multi-Task Deep Neural Networks. IEEE ACM Trans. Comput. Biol. Bioinform. Zhe Sun, Shuangjia Zheng, Huiying Zhao, Zhangming Niu, Yutong Lu, Yi Pan, Yuedong Yang
2021	J	`jnl`	A spatial-temporal gated attention module for molecular property prediction based on molecular geometry. Briefings Bioinform. Chunyan Li, Jianmin Wang, Zhangming Niu, Junfeng Yao, Xiangxiang Zeng
2021	J	`jnl`	HeTDR: Drug repositioning based on heterogeneous networks and text mining. Patterns Shuting Jin, Zhangming Niu, Changzhi Jiang, Wei Huang, Feng Xia, Xurui Jin, Xiangrong Liu, Xiangxiang Zeng
2021	J	`jnl`	PharmKG: a dedicated knowledge graph benchmark for bomedical data mining. Briefings Bioinform. Shuangjia Zheng, Jiahua Rao, Ying Song, Jixian Zhang, Xianglu Xiao, Evandro Fei Fang, Yuedong Yang, Zhangming Niu
2021	J	`jnl`	Robust Weakly Supervised Learning for COVID-19 Recognition Using Multi-Center CT Images. CoRR Qinghao Ye, Yuan Gao, Weiping Ding, Zhangming Niu, Chengjia Wang, Yinghui Jiang, Minhao Wang, Evandro Fei Fang, Wade Menpes-Smith, Jun Xia, Guang Yang
2020	A*	`conf`	Communicative Representation Learning on Attributed Molecular Graphs. IJCAI Ying Song, Shuangjia Zheng, Zhangming Niu, Zhang-Hua Fu, Yutong Lu, Yuedong Yang
2020	J	`jnl`	SARA-GAN: Self-Attention and Relative Average Discriminator Based Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction. Frontiers Neuroinformatics Zhenmou Yuan, Mingfeng Jiang, Yaming Wang, Bo Wei, Yongming Li, Pin Wang, Wade Menpes-Smith, Zhangming Niu, Guang Yang
2020	J	`jnl`	Weakly Supervised Deep Learning for COVID-19 Infection Detection and Classification From CT Images. IEEE Access 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
2020	J	`jnl`	Weakly Supervised Deep Learning for COVID-19 Infection Detection and Classification from CT Images. CoRR 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
2019	—	`conf`	Multi-modal Representation Learning for Short Video Understanding and Recommendation. ICME Workshops Daya Guo, Jiangshui Hong, Binli Luo, Qirui Yan, Zhangming Niu