Geo-spatial Data Analysis, Quality Assessment and Visualization. - Yong Ge; Hexiang Bai; Sanping Li (ICCSA (1), 2008)

Handling Spatial-Correlated Attribute Values in a Rough Set. - Hexiang Bai; Yong Ge (ICCSA (1), 2009)

CCSSM: A Toolkit for Information Extraction from Remotely Sensed Imagery. - Yong Ge; Chi Zhang; Hexiang Bai (SDH, 2010)

Using rough set theory to identify villages affected by birth defects: the example of Heshun, Shanxi, China. - Hexiang Bai; Yong Ge; Jinfeng Wang 001; Yi-Lan Liao (Int. J. Geogr. Inf. Sci., 2010)

A method for extracting rules from spatial data based on rough fuzzy sets. - Hexiang Bai; Yong Ge; Jinfeng Wang 001; Deyu Li; Yilan Liao; Xiaoying Zheng (Knowl. Based Syst., 2014)

Detecting nominal variables' spatial associations using conditional probabilities of neighboring surface objects' categories. - Hexiang Bai; Deyu Li; Yong Ge; Jinfeng Wang 001 (Inf. Sci., 2016)

A model for type-2 fuzzy rough sets. - Juan Lu; Deyu Li; Yanhui Zhai; Hua Li; Hexiang Bai (Inf. Sci., 2016)

组合粗尺度异质性和细尺度匀质性的像元交换算法用于超分辨率制图 (Super-resolution Mapping Using Pixel-swapping Based on Integration of Coarse-scale Spatial Heterogeneity and Fine-scale Spatial Homogeneity). - Jianlong Hu; Deyu Li; Hexiang Bai (计算机科学, 2016)

Semantic-based topic detection using Markov decision processes. - Qian Chen 023; Xin Guo; Hexiang Bai (Neurocomputing, 2017)

基于SIFT和非参贝叶斯的高分辨率遥感影像地物识别算法 (High Resolution Remote Sensing Image Object Recognition Algorithm Based on SIFT and Non-parametric Bayes). - Jian Wang; Hexiang Bai; Deyu Li (计算机科学, 2017)

Granular Structure of Type-2 Fuzzy Rough Sets over Two Universes. - Juan Lu; Deyu Li; Yan-Hui Zhai; Hexiang Bai (Symmetry, 2017)

A spatial heterogeneity-based rough set extension for spatial data. - Hexiang Bai; Deyu Li; Yong Ge; Jinfeng Wang 001 (Int. J. Geogr. Inf. Sci., 2019)

Belief and plausibility functions of type-2 fuzzy rough sets. - Juan Lu; Deyu Li; Yan-Hui Zhai; Hexiang Bai (Int. J. Approx. Reason., 2019)

Energy-Efficient Clustering Algorithm in Underwater Sensor Networks Based on Fuzzy C Means and Moth-Flame Optimization Method. - Fei Wang 086; Hexiang Bai; Deyu Li; Jianjun Wang (IEEE Access, 2020)

Incorporating spatial association into statistical classifiers: local pattern-based prior tuning. - Hexiang Bai; Feng Cao; Peter M. Atkinson; Qian Chen 023; Jinfeng Wang 001; Yong Ge (Int. J. Geogr. Inf. Sci., 2020)

A fast edge-based two-stage direct sampling method. - Hexiang Bai; Grégoire Mariéthoz (Comput. Geosci., 2021)

Spatial rough set-based geographical detectors for nominal target variables. - Hexiang Bai; Deyu Li; Yong Ge; Jinfeng Wang 001; Feng Cao (Inf. Sci., 2022)

A Shallow Information Enhanced Efficient Small Object Detector Based on YOLOv5. - Minhu Yang; Hexiang Bai (ICANN (7), 2023)

A Graph Convolution Neural Network for User-Group Aided Personalized Session-Based Recommendation. - Hui Wang 106; Hexiang Bai; Jun Huo; Minhu Yang (ICONIP (2), 2023)

A fast two part direct sampling method based on interpolation. - Hexiang Bai; Minhu Yang; Grégoire Mariéthoz (Comput. Geosci., 2023)

An Efficient Object Detection Algorithm Based on Improved YOLOv5 for High-Spatial-Resolution Remote Sensing Images. - Feng Cao; Bing Xing; Jiancheng Luo; Deyu Li; Yuhua Qian; Chao Zhang 046; Hexiang Bai; Hu Zhang (Remote. Sens., 2023)

A fuzzy rough sets-based data-driven approach for quantifying local and overall fuzzy relations between variables for spatial data. - Hexiang Bai; Junhao Jing; Deyu Li; Yong Ge (Appl. Soft Comput., 2024)

Positive region preserved random sampling: an efficient feature selection method for massive data. - Hexiang Bai; Deyu Li; Jiye Liang; Yanhui Zhai (CoRR, 2025)

A dynamic context-aware aggregation strategy for small object detection. - Minhu Yang; Hexiang Bai; Jianlong Hu; Deyu Li (Pattern Recognit., 2026)