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2020 – today
- 2025
[j16]Yi Zhou, Yilin Duan
, Hong Yao, Xinchuan Li, Shengwen Li:
Incorporating hydrological constraints with deep learning for streamflow prediction. Expert Syst. Appl. 259: 125379 (2025)- 2024
- [c8]Jiahui Li, Diange Zhou, Yilin Duan, Xinchuan Li, Hong Yao:
A Clustering-Oriented Method for Open-Domain Named Entity Recognition. CCGrid 2024: 189-195 - 2023
- [j15]Lijun Dong, Dongyang Zhao, Xiaoai Zhang, Xinchuan Li, Xiaojun Kang, Hong Yao:
Anchors-Based Incremental Embedding for Growing Knowledge Graphs. IEEE Trans. Knowl. Data Eng. 35(4): 3458-3470 (2023) - [j14]Lijun Dong, Tiejun Wu, Wei Jia, Bo Jiang, Xinchuan Li:
Computable Access Control: Embedding Access Control Rules Into Euclidean Space. IEEE Trans. Syst. Man Cybern. Syst. 53(10): 6530-6541 (2023) - 2022
- [j13]Shengwen Li, Chenpeng Sun, Renyao Chen, Xinchuan Li, Qingzhong Liang, Junfang Gong, Hong Yao:
Location-aware neural graph collaborative filtering. Int. J. Geogr. Inf. Sci. 36(8): 1550-1574 (2022) - [j12]Xiaojun Kang, Xinchuan Li, Hong Yao, Dan Li, Bo Jiang, Xiaoyue Peng, Tiejun Wu, Shihua Qi, Lijun Dong:
Dynamic hypergraph neural networks based on key hyperedges. Inf. Sci. 616: 37-51 (2022) - [j11]Chao Liu, Xinchuan Li, Dongyang Zhao, Shaolong Guo, Xiaojun Kang, Lijun Dong, Hong Yao:
Graph Neural Networks with Information Anchors for Node Representation Learning. Mob. Networks Appl. 27(1): 315-328 (2022) - 2020
- [j10]Xinchuan Li, Xiaojun Kang, Chenwei Wang, Lijun Dong, Hong Yao, Shixiang Li:
A Neural-Network-Based Model of Charge Prediction via the Judicial Interpretation of Crimes. IEEE Access 8: 101569-101579 (2020) - [j9]Qiyu Chen, Gang Liu, Xiaogang Ma, Xinchuan Li, Zhenwen He:
3D stochastic modeling framework for Quaternary sediments using multiple-point statistics: A case study in Minjiang Estuary area, southeast China. Comput. Geosci. 136: 104404 (2020) - [j8]Xinchuan Li, Juhua Luo, Xiuliang Jin, Qiaoning He, Yun Niu:
Improving Soil Thickness Estimations Based on Multiple Environmental Variables with Stacking Ensemble Methods. Remote. Sens. 12(21): 3609 (2020)
2010 – 2019
- 2019
- [j7]Xiaojun Kang, Hong Yao, Qingtao Li, Xinchuan Li, Chao Liu, Lijun Dong:
TDN: An Integrated Representation Learning Model of Knowledge Graphs. IEEE Access 7: 55199-55205 (2019) - [j6]Junhua Ding, XinChuan Li, Xiaojun Kang, Venkat N. Gudivada:
A Case Study of the Augmentation and Evaluation of Training Data for Deep Learning. ACM J. Data Inf. Qual. 11(4): 20:1-20:22 (2019) - [c7]Hong Yao, Lijun Dong, Shiqi Zhen, Xiaojun Kang, Xinchuan Li, Qingzhong Liang:
Distant-Supervised Relation Extraction with Hierarchical Attention Based on Knowledge Graph. ICTAI 2019: 229-236 - [c6]Junhua Ding, XinChuan Li, Xin-Hua Hu:
Testing Scientific Software with Invariant Relations: A Case Study. QRS 2019: 406-417 - [c5]Chao Liu, Xinchuan Li, Dongyang Zhao, Shaolong Guo, Xiaojun Kang, Lijun Dong, Hong Yao:
A-GNN: Anchors-Aware Graph Neural Networks for Node Embedding. QSHINE 2019: 141-153 - 2018
- [c4]Junhua Ding, XinChuan Li:
An Approach for Validating Quality of Datasets for Machine Learning. IEEE BigData 2018: 2795-2803 - 2017
- [j5]Qiyu Chen, Gang Liu, Xiaogang Ma, Xinchuan Li, Zhenwen He:
Fractal generator for efficient production of random planar patterns and symbols in digital mapping. Comput. Geosci. 105: 91-102 (2017) - [j4]Qiyu Chen, Gang Liu, Xinchuan Li, Zhiting Zhang, Yang Li:
A corner-point-grid-based voxelization method for the complex geological structure model with folds. J. Vis. 20(4): 875-888 (2017) - [c3]Junhua Ding, XinChuan Li, Venkat N. Gudivada:
Augmentation and evaluation of training data for deep learning. IEEE BigData 2017: 2603-2611 - [c2]Xinchuan Li, Kunpeng Zhang, Lu Hu:
Width design of circulation facilities in urban rail transit station. SSCI 2017: 1-7 - 2016
- [j3]Xinchuan Li, Youjing Zhang, Juhua Luo, Xiuliang Jin, Ying Xu, Wenzhi Yang:
Quantification winter wheat LAI with HJ-1CCD image features over multiple growing seasons. Int. J. Appl. Earth Obs. Geoinformation 44: 104-112 (2016) - [j2]Juhua Luo, Ronghua Ma, Huihui Feng, Xinchuan Li:
Estimating the Total Nitrogen Concentration of Reed Canopy with Hyperspectral Measurements Considering a Non-Uniform Vertical Nitrogen Distribution. Remote. Sens. 8(10): 789 (2016) - 2014
- [j1]Xinchuan Li, Youjing Zhang, Yansong Bao, Juhua Luo, Xiuliang Jin, Xingang Xu, Xiaoyu Song, Guijun Yang:
Exploring the Best Hyperspectral Features for LAI Estimation Using Partial Least Squares Regression. Remote. Sens. 6(7): 6221-6241 (2014)
2000 – 2009
- 2008
- [c1]Xinchuan Li, Feng Jiang:
The Design and Realization of Computer-Aided Drawing for the ProspectingLine Profile Map. CSSE (5) 2008: 1094-1097
Coauthor Index
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