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Yinghui Jiang
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2020 – today
- 2024
- [j8]Yinghui Jiang, Sijin Li, Yanzi Yan
, Bingqing Sun, Josef Strobl
Transfer learning reconstructs submarine topography for global mid-ocean ridges. Int. J. Appl. Earth Obs. Geoinformation 134: 104182 (2024) - [j7]Guanghui Hu
Super-resolution of digital elevation models by using multiple-point statistics and training image selection. Comput. Geosci. 191: 105688 (2024) - [j6]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) - [i6]Jiaxin Zhang, Yinghui Jiang, Yashar Moshfeghi:
GAPS: Geometry-Aware Problem Solver. CoRR abs/2401.16287 (2024) - 2023
- [j5]Yinghui Jiang, Liyang Xiong, Xiaohui Huang, Sijin Li, Wang Shen:
Super-resolution for terrain modeling using deep learning in high mountain Asia. Int. J. Appl. Earth Obs. Geoinformation 118: 103296 (2023) - [j4]Qijie Chen
An extensive benchmark study on biomedical text generation and mining with ChatGPT. Bioinform. 39(9) (2023) - [j3]Shuting Jin
A general hypergraph learning algorithm for drug multi-task predictions in micro-to-macro biomedical networks. PLoS Comput. Biol. 19(11) (2023) - [c1]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 - [i5]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
- [j2]Qinghao Ye, Yuan Gao
Robust weakly supervised learning for COVID-19 recognition using multi-center CT images. Appl. Soft Comput. 116: 108291 (2022) - [i4]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) - [i3]Fang Wu, Qiang Zhang, Xurui Jin, Yinghui Jiang, Stan Z. Li:
A Score-based Geometric Model for Molecular Dynamics Simulations. CoRR abs/2204.08672 (2022) - 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
- [j1]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) - [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)
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