Yinghui Jiang

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 14

Top Topics

Digital Elevation Models

Weakly Supervised

Subgraph Matching

Top Venues

J. Cheminformatics

Comput. Geosci.

Publications

Guanghui Hu, Yinghui Jiang, Sijin Li, Liyang Xiong, Guoan Tang, Grégoire Mariéthoz
Super-resolution of digital elevation models by using multiple-point statistics and training image selection. Comput. Geosci. 191 (2024)
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)
Jiaxin Zhang, Yinghui Jiang, Yashar Moshfeghi
GAPS: Geometry-Aware Problem Solver. CoRR (2024)
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 (2023)
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)
Shuting Jin, Yue Hong, Li Zeng, Yinghui Jiang, Yuan Lin, Leyi Wei, Zhuohang Yu, Xiangxiang Zeng, Xiangrong Liu
A general hypergraph learning algorithm for drug multi-task predictions in micro-to-macro biomedical networks. PLoS Comput. Biol. 19 (11) (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)
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)
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)
Fang Wu, Qiang Zhang, Xurui Jin, Yinghui Jiang, Stan Z. Li
A Score-based Geometric Model for Molecular Dynamics Simulations. CoRR (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)
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)
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)