Yinghui Jiang

According to our database, Yinghui Jiang authored at least 13 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Automated molecular structure segmentation from documents using ChemSAM.

Bowen Tang, Zhangming Niu, Xiaofeng Wang, Junjie Huang, Chao Ma, Jing Peng, Yinghui Jiang, Ruiquan Ge, Hongyu Hu, Luhao Lin, Guang Yang

J. Cheminformatics, December, 2024

GAPS: Geometry-Aware Problem Solver.

Jiaxin Zhang, Yinghui Jiang, Yashar Moshfeghi

CoRR, 2024

2023

A general hypergraph learning algorithm for drug multi-task predictions in micro-to-macro biomedical networks.

Shuting Jin, Yue Hong, Li Zeng, Yinghui Jiang, Yuan Lin, Leyi Wei, Zhuohang Yu, Xiangxiang Zeng, Xiangrong Liu

PLoS Comput. Biol., November, 2023

An extensive benchmark study on biomedical text generation and mining with ChatGPT.

Qijie Chen, Haotong Sun, Haoyang Liu, Yinghui Jiang, Ting Ran, Xurui Jin, Xianglu Xiao, Zhimin Lin, Hongming Chen, Zhangming Niu

Bioinform., September, 2023

Super-resolution for terrain modeling using deep learning in high mountain Asia.

Yinghui Jiang, Liyang Xiong, Xiaohui Huang, Sijin Li, Wang Shen

Int. J. Appl. Earth Obs. Geoinformation, April, 2023

Explaining Graph Neural Networks via Non-parametric Subgraph Matching.

Fang Wu, Siyuan Li, Lirong Wu, Dragomir Radev, Yinghui Jiang, Xurui Jin, Zhangming Niu, Stan Z. Li

CoRR, 2023

Rethinking Explaining Graph Neural Networks via Non-parametric Subgraph Matching.

Fang Wu, Siyuan Li, Xurui Jin, Yinghui Jiang, Dragomir Radev, Zhangming Niu, Stan Z. Li

Proceedings of the International Conference on Machine Learning, 2023

2022

A Score-based Geometric Model for Molecular Dynamics Simulations.

Fang Wu, Qiang Zhang, Xurui Jin, Yinghui Jiang, Stan Z. Li

CoRR, 2022

Pre-training of Deep Protein Models with Molecular Dynamics Simulations for Drug Binding.

Fang Wu, Qiang Zhang, Dragomir R. Radev, Yuyang Wang, Xurui Jin, Yinghui Jiang, Zhangming Niu, Stan Z. Li

CoRR, 2022

Robust weakly supervised learning for COVID-19 recognition using multi-center CT images.

Qinghao Ye, Yuan Gao, Weiping Ding, Zhangming Niu, Chengjia Wang, Yinghui Jiang, Minhao Wang, Evandro Fei Fang, Wade Menpes-Smith, Jun Xia, Guang Yang

Appl. Soft Comput., 2022

2021

Robust Weakly Supervised Learning for COVID-19 Recognition Using Multi-Center CT Images.

Qinghao Ye, Yuan Gao, Weiping Ding, Zhangming Niu, Chengjia Wang, Yinghui Jiang, Minhao Wang, Evandro Fei Fang, Wade Menpes-Smith, Jun Xia, Guang Yang

CoRR, 2021

2020

Weakly Supervised Deep Learning for COVID-19 Infection Detection and Classification from CT Images.

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

CoRR, 2020

Weakly Supervised Deep Learning for COVID-19 Infection Detection and Classification From CT Images.

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

IEEE Access, 2020