The Design and Realization of Computer-Aided Drawing for the ProspectingLine Profile Map. - Xinchuan Li; Feng Jiang (CSSE (5), 2008)

Exploring the Best Hyperspectral Features for LAI Estimation Using Partial Least Squares Regression. - Xinchuan Li; Youjing Zhang; Yansong Bao; Juhua Luo; Xiuliang Jin; Xingang Xu; Xiaoyu Song; Guijun Yang (Remote. Sens., 2014)

Quantification winter wheat LAI with HJ-1CCD image features over multiple growing seasons. - Xinchuan Li; Youjing Zhang; Juhua Luo; Xiuliang Jin; Ying Xu; Wenzhi Yang (Int. J. Appl. Earth Obs. Geoinformation, 2016)

Estimating the Total Nitrogen Concentration of Reed Canopy with Hyperspectral Measurements Considering a Non-Uniform Vertical Nitrogen Distribution. - Juhua Luo; Ronghua Ma; Huihui Feng; Xinchuan Li (Remote. Sens., 2016)

Augmentation and evaluation of training data for deep learning. - Junhua Ding; XinChuan Li; Venkat N. Gudivada (IEEE BigData, 2017)

Width design of circulation facilities in urban rail transit station. - Xinchuan Li; Kunpeng Zhang; Lu Hu (SSCI, 2017)

Fractal generator for efficient production of random planar patterns and symbols in digital mapping. - Qiyu Chen 001; Gang Liu 003; Xiaogang Ma 001; Xinchuan Li; Zhenwen He (Comput. Geosci., 2017)

A corner-point-grid-based voxelization method for the complex geological structure model with folds. - Qiyu Chen 001; Gang Liu 003; Xinchuan Li; Zhiting Zhang; Yang Li 090 (J. Vis., 2017)

An Approach for Validating Quality of Datasets for Machine Learning. - Junhua Ding; XinChuan Li (IEEE BigData, 2018)

Distant-Supervised Relation Extraction with Hierarchical Attention Based on Knowledge Graph. - Hong Yao; Lijun Dong; Shiqi Zhen; Xiaojun Kang; Xinchuan Li; Qingzhong Liang (ICTAI, 2019)

Testing Scientific Software with Invariant Relations: A Case Study. - Junhua Ding; XinChuan Li; Xin-Hua Hu (QRS, 2019)

A-GNN: Anchors-Aware Graph Neural Networks for Node Embedding. - Chao Liu 007; Xinchuan Li; Dongyang Zhao; Shaolong Guo; Xiaojun Kang; Lijun Dong; Hong Yao (QSHINE, 2019)

TDN: An Integrated Representation Learning Model of Knowledge Graphs. - Xiaojun Kang; Hong Yao; Qingtao Li; Xinchuan Li; Chao Liu 007; Lijun Dong (IEEE Access, 2019)

A Case Study of the Augmentation and Evaluation of Training Data for Deep Learning. - Junhua Ding; XinChuan Li; Xiaojun Kang; Venkat N. Gudivada (ACM J. Data Inf. Qual., 2019)

A Neural-Network-Based Model of Charge Prediction via the Judicial Interpretation of Crimes. - Xinchuan Li; Xiaojun Kang; Chenwei Wang; Lijun Dong; Hong Yao; Shixiang Li (IEEE Access, 2020)

3D stochastic modeling framework for Quaternary sediments using multiple-point statistics: A case study in Minjiang Estuary area, southeast China. - Qiyu Chen 001; Gang Liu 003; Xiaogang Ma 001; Xinchuan Li; Zhenwen He (Comput. Geosci., 2020)

Improving Soil Thickness Estimations Based on Multiple Environmental Variables with Stacking Ensemble Methods. - Xinchuan Li; Juhua Luo; Xiuliang Jin; Qiaoning He; Yun Niu (Remote. Sens., 2020)

Location-aware neural graph collaborative filtering. - Shengwen Li; Chenpeng Sun; Renyao Chen; Xinchuan Li; Qingzhong Liang; Junfang Gong; Hong Yao (Int. J. Geogr. Inf. Sci., 2022)

Dynamic hypergraph neural networks based on key hyperedges. - Xiaojun Kang; Xinchuan Li; Hong Yao; Dan Li; Bo Jiang; Xiaoyue Peng; Tiejun Wu; Shihua Qi; Lijun Dong (Inf. Sci., 2022)

Graph Neural Networks with Information Anchors for Node Representation Learning. - Chao Liu 007; Xinchuan Li; Dongyang Zhao; Shaolong Guo; Xiaojun Kang; Lijun Dong; Hong Yao (Mob. Networks Appl., 2022)

Anchors-Based Incremental Embedding for Growing Knowledge Graphs. - Lijun Dong; Dongyang Zhao; Xiaoai Zhang; Xinchuan Li; Xiaojun Kang; Hong Yao (IEEE Trans. Knowl. Data Eng., 2023)

Computable Access Control: Embedding Access Control Rules Into Euclidean Space. - Lijun Dong; Tiejun Wu; Wei Jia; Bo Jiang; Xinchuan Li (IEEE Trans. Syst. Man Cybern. Syst., 2023)

A Clustering-Oriented Method for Open-Domain Named Entity Recognition. - Jiahui Li; Diange Zhou; Yilin Duan; Xinchuan Li; Hong Yao (CCGrid, 2024)

Incorporating hydrological constraints with deep learning for streamflow prediction. - Yi Zhou; Yilin Duan; Hong Yao; Xinchuan Li; Shengwen Li (Expert Syst. Appl., 2025)

HGeoKG: A Hierarchical Geographic Knowledge Graph for Geographic Knowledge Reasoning. - Tailong Li; Renyao Chen; Yilin Duan; Hong Yao; Shengwen Li; Xinchuan Li (ISPRS Int. J. Geo Inf., 2025)