Weakly Supervised Deep Learning for COVID-19 Infection Detection and Classification From CT Images. - Shaoping Hu; Yuan Gao 017; Zhangming Niu; Yinghui Jiang; Lao Li; Xianglu Xiao; Minhao Wang; Evandro Fei Fang; Wade Menpes-Smith; Jun Xia 002; Hui Ye; Guang Yang 006 (IEEE Access, 2020)

Robust weakly supervised learning for COVID-19 recognition using multi-center CT images. - Qinghao Ye; Yuan Gao 017; Weiping Ding 001; Zhangming Niu; Chengjia Wang; Yinghui Jiang; Minhao Wang; Evandro Fei Fang; Wade Menpes-Smith; Jun Xia 002; Guang Yang 006 (Appl. Soft Comput., 2022)

Pre-training of Deep Protein Models with Molecular Dynamics Simulations for Drug Binding. - Fang Wu 002; Qiang Zhang 026; Dragomir R. Radev; Yuyang Wang; Xurui Jin; Yinghui Jiang; Zhangming Niu; Stan Z. Li (CoRR, 2022)

A Score-based Geometric Model for Molecular Dynamics Simulations. - Fang Wu 002; Qiang Zhang 026; Xurui Jin; Yinghui Jiang; Stan Z. Li (CoRR, 2022)

Rethinking Explaining Graph Neural Networks via Non-parametric Subgraph Matching. - Fang Wu 002; Siyuan Li 002; Xurui Jin; Yinghui Jiang; Dragomir Radev; Zhangming Niu; Stan Z. Li (ICML, 2023)

Explaining Graph Neural Networks via Non-parametric Subgraph Matching. - Fang Wu 002; Siyuan Li 002; Lirong Wu; Dragomir Radev; Yinghui Jiang; Xurui Jin; Zhangming Niu; Stan Z. Li (CoRR, 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, 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 001; Zhangming Niu (Bioinform., 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., 2023)

Transfer learning reconstructs submarine topography for global mid-ocean ridges. - Yinghui Jiang; Sijin Li; Yanzi Yan; Bingqing Sun; Josef Strobl; Liyang Xiong (Int. J. Appl. Earth Obs. Geoinformation, 2024)

GAPS: Geometry-Aware Problem Solver. - Jiaxin Zhang 024; Yinghui Jiang; Yashar Moshfeghi (CoRR, 2024)

Super-resolution of digital elevation models by using multiple-point statistics and training image selection. - Guanghui Hu; Yinghui Jiang; Sijin Li; Liyang Xiong; Guoan Tang; Grégoire Mariéthoz (Comput. Geosci., 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 006 (J. Cheminformatics, 2024)

LOHA: Direct Graph Spectral Contrastive Learning Between Low-Pass and High-Pass Views. - Ziyun Zou; Yinghui Jiang; Lian Shen; Juan Liu; Xiangrong Liu (AAAI, 2025)

Multi-objective multicast optimization with deep reinforcement learning. - Xiaole Li; Jinwei Tian; Cuiping Wang; Yinghui Jiang; Xing Wang; Jiuru Wang (Clust. Comput., 2025)