Xinchuan Li

According to our database, Xinchuan Li authored at least 24 papers between 2008 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Incorporating hydrological constraints with deep learning for streamflow prediction.

Yi Zhou, Yilin Duan, Hong Yao, Xinchuan Li, Shengwen Li

Expert Syst. Appl., 2025

2024

A Clustering-Oriented Method for Open-Domain Named Entity Recognition.

Jiahui Li, Diange Zhou, Yilin Duan, Xinchuan Li, Hong Yao

Proceedings of the 24th IEEE International Symposium on Cluster, 2024

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., October, 2023

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., April, 2023

2022

Graph Neural Networks with Information Anchors for Node Representation Learning.

Chao Liu, Xinchuan Li, Dongyang Zhao, Shaolong Guo, Xiaojun Kang, Lijun Dong, Hong Yao

Mob. Networks Appl., 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

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

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

3D stochastic modeling framework for Quaternary sediments using multiple-point statistics: A case study in Minjiang Estuary area, southeast China.

Qiyu Chen, Gang Liu, Xiaogang Ma, Xinchuan Li, Zhenwen He

Comput. Geosci., 2020

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

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

TDN: An Integrated Representation Learning Model of Knowledge Graphs.

Xiaojun Kang, Hong Yao, Qingtao Li, Xinchuan Li, Chao Liu, Lijun Dong

IEEE Access, 2019

A-GNN: Anchors-Aware Graph Neural Networks for Node Embedding.

Chao Liu, Xinchuan Li, Dongyang Zhao, Shaolong Guo, Xiaojun Kang, Lijun Dong, Hong Yao

Proceedings of the Quality, Reliability, Security and Robustness in Heterogeneous Systems, 2019

Testing Scientific Software with Invariant Relations: A Case Study.

Junhua Ding, XinChuan Li, Xin-Hua Hu

Proceedings of the 19th IEEE International Conference on Software Quality, 2019

Distant-Supervised Relation Extraction with Hierarchical Attention Based on Knowledge Graph.

Hong Yao, Lijun Dong, Shiqi Zhen, Xiaojun Kang, Xinchuan Li, Qingzhong Liang

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

2018

An Approach for Validating Quality of Datasets for Machine Learning.

Junhua Ding, XinChuan Li

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

A corner-point-grid-based voxelization method for the complex geological structure model with folds.

Qiyu Chen, Gang Liu, Xinchuan Li, Zhiting Zhang, Yang Li

J. Vis., 2017

Fractal generator for efficient production of random planar patterns and symbols in digital mapping.

Qiyu Chen, Gang Liu, Xiaogang Ma, Xinchuan Li, Zhenwen He

Comput. Geosci., 2017

Width design of circulation facilities in urban rail transit station.

Xinchuan Li, Kunpeng Zhang, Lu Hu

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Augmentation and evaluation of training data for deep learning.

Junhua Ding, XinChuan Li, Venkat N. Gudivada

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

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

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

2014

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

2008

The Design and Realization of Computer-Aided Drawing for the ProspectingLine Profile Map.

Xinchuan Li, Feng Jiang

Proceedings of the International Conference on Computer Science and Software Engineering, 2008