A feature recognition approach for mold machining. - Xiaoming Ding; Liping Zhang; Yiqiang Lu; Ridong Jiang (CAINE, 2006)

proTF: a comprehensive data and phylogenomics resource for prokaryotic transcription factors. - Jie Bai; Junrong Wang; Feng Xue; Jingsong Li; Lijing Bu; Junming Hu; Gang Xu; Qiyu Bao; Guoping Zhao; Xiaoming Ding; Jie Yan; Jinyu Wu (Bioinform., 2010)

Negative selection algorithm based on grid file of the feature space. - Wen Chen 025; Xiaoming Ding; Tao Li 016; Tao Yang (Knowl. Based Syst., 2014)

An edge-based smart mobile service system for illegal dumping detection and monitoring in San Jose. - Hema Begur; Mithila Dhawade; Navit Gaur; Pulkit Dureja; Jerry Gao 002; Medhat Mahmoud; Jesse Huang; Sean Chen; Xiaoming Ding (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2017)

Research on Software Quality Assurance Based on Software Quality Standards and Technology Management. - Peng Shen; Xiaoming Ding; Wenjun Ren; Chujun Yang (SNPD, 2018)

Modeling and Optimization of Image Mapper for Snapshot Image Mapping Spectrometer. - Xiaoming Ding; Yan Yuan; Lijuan Su; Wanyue Wang; Zhenyi Ai; Anqi Liu (IEEE Access, 2018)

A Datacube Reconstruction Method for Snapshot Image Mapping Spectrometer. - Xiaoming Ding; Cheng Wang (CSPS, 2019)

Compressed Sensing Image Mapping Spectrometer. - Xiaoming Ding (IEEE Access, 2019)

The Datacube Reconstruction Approach for Compressed Sensing Image Mapping Spectrometer (CSIMS). - Xiaoming Ding; Xiaocheng Wang (IEEE Access, 2019)

Geometric Optical Model of the Snapshot Image Mapping Spectrometer for Data Cube Recovery. - Xiaoming Ding; Yan Yuan (IEEE Access, 2019)

Prediction of Chronic Kidney Disease Using Adaptive Hybridized Deep Convolutional Neural Network on the Internet of Medical Things Platform. - Guozhen Chen; Chenguang Ding; Yang Li 100; Xiaojun Hu; Xiao Li 020; Li Ren; Xiaoming Ding; Puxun Tian; Wujun Xue (IEEE Access, 2020)

Snapshot compressive spectral - depth imaging based on light field. - Xiaoming Ding; QiangQiang Yan; Liang Hu; Shubo Zhou; Ruyi Wei; Xiaocheng Wang; Yupeng Li 002 (EURASIP J. Adv. Signal Process., 2022)

Analysis of influencing factors on excellent teachers' professional growth based on DB-Kmeans method. - Xu Gao; Xiaoming Ding; Tingting Han; Yueyuan Kang (EURASIP J. Adv. Signal Process., 2022)

Single-carrier transmission scheme for extracting characteristic parameters of 32-Point 6PolSK-QPSK. - Yupeng Li 002; Yichao Zhang; Lei Li; Mingzhu Zhang; Du Wu; Qianqian Li; Xiaoming Ding; Xiaocheng Wang (EURASIP J. Adv. Signal Process., 2022)

RTAD-TP: Real-Time Anomaly Detection Algorithm for Univariate Time Series Data Based on Two-Parameter Estimation. - Qiyun Fan; Yan Tang; Xiaoming Ding; Qianglong Huangfu; Peihao Ding (KSEM (1), 2023)

A Novel 32-Point Modulation Scheme of 6PolSK-QPSK Signal. - Yupeng Li 002; Yichao Zhang; Lei Li; Mingzhu Zhang; Qianqian Li; Du Wu; Xiaoming Ding; Xiaocheng Wang (IEEE Access, 2023)

High-Fidelity Light Field Reconstruction Method Using View-Selective Angular Feature Extraction. - Shubo Zhou; Xue-Qin Jiang 001; Xiaoming Ding; Rong Huang 003 (IEEE Access, 2023)

Multi-objective optimization for greenhouse light environment using Gaussian mixture model and an improved NSGA-II algorithm. - Tan Liu; Qingyun Yuan; Xiaoming Ding; Yonggang Wang; Dapeng Zhang (Comput. Electron. Agric., 2023)

Tomato recognition and location algorithm based on improved YOLOv5. - Tianhua Li; Meng Sun; Qinghai He; Guanshan Zhang; Guoying Shi; Xiaoming Ding; Sen Lin (Comput. Electron. Agric., 2023)

Snapshot depth-spectral imaging based on image mapping and light field. - Xiaoming Ding; Liang Hu; Shubo Zhou; Xiaocheng Wang; Yupeng Li 002; Tingting Han 002; Dunqiang Lu; Guowei Che (EURASIP J. Adv. Signal Process., 2023)

Research on alleviating nonlinear problem by data feature extraction and fusion based on DFT-spread. - Yupeng Li 002; Lei Li; Yichao Zhang; Mingzhu Zhang; Du Wu; Qianqian Li; Xiaocheng Wang; Xiaoming Ding (EURASIP J. Adv. Signal Process., 2023)

GC-DAWMAR: A Global-Local Framework for Long-Term Time Series Forecasting. - Peihao Ding; Yan Tang; Xiaoming Ding; Caijie Guo (KSEM (3), 2024)

Random Virtual Embeddings Bootstrap High-Degree Item Diffusion for Recommendation. - Minghong Luo; Zheng Su; Yan Tang; Xiaoming Ding (KSEM (4), 2024)

ANGCN: Adaptive Neighborhood-Awareness for Recommendation. - Minghong Luo; Zheng Su; Yan Tang; Xiaoming Ding (KSEM (4), 2024)

Adaptive frequency selection network for low-light image enhancement. - Shubo Zhou; Jingjing Jiang; Zhijun Fang; Xiaoming Ding; Rong Huang 003; Xue-Qin Jiang 001 (Displays, 2025)