A new method of decoupling for gradient systems in MRI. - Guang Chen; Wenhui Yang; Xing Lv (BMEI, 2013)

Field free line generation for Magnetic Particle Imaging based on the Mirror Rule. - Xing Lv; Zheng Wang; Wenhui Yang (BMEI, 2013)

Design and simulation of magnetic nanoparticles detector based on the nonlinear magnetization. - Yan Tan; Yang Yu; Xing Lv; Ming Wang (BMEI, 2013)

A deep survival analysis method based on ranking. - Bing-Zhong Jing; Tao Zhang 060; Zixian Wang; Ying Jin; Kuiyuan Liu; Wenze Qiu; Liangru Ke; Ying Sun; Caisheng He; Dan Hou; Linquan Tang; Xing Lv; et al. (Artif. Intell. Medicine, 2019)

Deep learning for risk prediction in patients with nasopharyngeal carcinoma using multi-parametric MRIs. - Bing-Zhong Jing; Yishu Deng; Tao Zhang 060; Dan Hou; Bin Li; Mengyun Qiang; Kuiyuan Liu; Liangru Ke; Taihe Li; Ying Sun; Xing Lv; Chao-Feng Li (Comput. Methods Programs Biomed., 2020)

The contrast-enhanced MRI can be substituted by unenhanced MRI in identifying and automatically segmenting primary nasopharyngeal carcinoma with the aid of deep learning models: An exploratory study in large-scale population of endemic area. - Yishu Deng; Chaofeng Li; Xing Lv; Weixiong Xia; Lujun Shen; Bing-Zhong Jing; Bin Li; Xiang Guo; Ying Sun; Chuanmiao Xie; Liangru Ke (Comput. Methods Programs Biomed., 2022)

Multi-site, Multi-domain Airway Tree Modeling (ATM'22): A Public Benchmark for Pulmonary Airway Segmentation. - Minghui Zhang; Yangqian Wu; Hanxiao Zhang; Yulei Qin; Hao Zheng 008; Wen Tang; Corey W. Arnold; Chenhao Pei; Pengxin Yu; Yang Nan 002; Guang Yang 006; Simon Walsh; et al. (CoRR, 2023)

A Lightweight and Robust Framework for Circulating Genetically Abnormal Cells (CACs) Identification Using 4-Color Fluorescence In Situ Hybridization (FISH) Image and Deep Refined Learning. - Xu Xu; Congsheng Li; Xingjie Lan; Xianjun Fan; Xing Lv; Xin Ye; Tongning Wu (J. Digit. Imaging, 2023)

Predicting Protein-ligand Binding Affinity via Molecular Mechanics-guided Graph Aggregation. - Xing Lv; Weizhong Zhao; Xinhui Tu; Tingting He 003 (BIBM, 2024)

RAAMove: A Corpus for Analyzing Moves in Research Article Abstracts. - Hongzheng Li; Ruojin Wang; Ge Shi 002; Xing Lv; Lei Lei; Chong Feng 001; Fang Liu; Jinkun Lin; Yangguang Mei; Lingnan Xu (LREC/COLING, 2024)

A Hierarchical Classification Model for Annotating Antibacterial Biocide and Metal Resistance Genes via Fusing Global and Local Semantics. - Xing Lv; Jie Deng; Weizhong Zhao; Xinhui Tu; Xingpeng Jiang (ISBRA (2), 2024)

Self-Sustainable IRS Assisted Covert Communications: Analysis and Optimization. - Manlin Wang; Chunqi Chen; Xing Lv; Bin Xia 001 (WCSP, 2024)

Adapting Physics-Informed Neural Networks for Bifurcation Detection in Ecological Migration Models. - Lujie Yin; Xing Lv (CoRR, 2024)

A method for merging and classifying higher mathematics teaching resources based on density clustering algorithm. - Hejie Chang; Xing Lv (Int. J. Bus. Intell. Data Min., 2025)

Applying Mathematical Modeling Optimization Algorithms to Solve Shop Floor Scheduling Problems. - Xing Lv; Hejie Chang (Informatica (Slovenia), 2025)

Covert Communications Aided by Multi-Functional IRS: Energy Harvesting, Reflecting, and Amplifying. - Manlin Wang; Zhen Xu 011; Xing Lv; Bin Xia 001 (IEEE Trans. Wirel. Commun., 2025)