Xiaojun Kang

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 16

Top Topics

Spectral Embedding

Symbolic Reasoning

Top Venues

Publications

Lai Wei, Qinghua Lu, Yilin Duan, Hong Yao, Xiaojun Kang
CEDG-GeoQA: Knowledge base question answering for the geoscience domain via Chinese entity description graph. Earth Sci. Informatics 17 (3) (2024)
Yilin Duan, Sijia Zhou, Xiaoyue Peng, Xiaojun Kang, Hong Yao
Neural-Symbolic Reasoning with External Knowledge for Machine Reading Comprehension. ICONIP (11) (2023)
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) (2023)
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) (2022)
Shengwen Li, Renyao Chen, Chenpeng Sun, Hong Yao, Xuyang Cheng, Zhuoru Li, Tailong Li, Xiaojun Kang
Region-aware neural graph collaborative filtering for personalized recommendation. Int. J. Digit. Earth 15 (1) (2022)
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 (2022)
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 (2020)
Kun Zheng, Yafan Cheng, Xiaojun Kang, Hong Yao, Tian Tian
Conditional Introspective Variational Autoencoder for Image Synthesis. IEEE Access 8 (2020)
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)
Xiaojun Kang, Hong Yao, Qingtao Li, Xinchuan Li, Chao Liu, Lijun Dong
TDN: An Integrated Representation Learning Model of Knowledge Graphs. IEEE Access 7 (2019)
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)
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) (2019)
Xiaojun Kang, Xuguang Zhao, Caixia Guo, Junhua Ding
An approach for detecting groundwater runoff connectivity using cluster analysis. SMC (2017)
Junhua Ding, Xiaojun Kang, Xin-Hua Hu, Venkat N. Gudivada
Building a Deep Learning Classifier for Enhancing a Biomedical Big Data Service. SCC (2017)
Junhua Ding, Xiaojun Kang, Xin-Hua Hu
Validating a Deep Learning Framework by Metamorphic Testing. MET@ICSE (2017)
Junhua Ding, Jiabin Wang, Xiaojun Kang, Xin-Hua Hu
Building an SVM Classifier for Automated Selection of Big Data. BigData Congress (2017)
Guiling Li, Zhihua Cai, Xiaojun Kang, Zongda Wu, Yuanzhen Wang
ESPSA: A prediction-based algorithm for streaming time series segmentation. Expert Syst. Appl. 41 (14) (2014)
Xiaojun Kang, Shanyu Tang, Yongge Ma, Ruixiang Liu, Yaping Wang
De Bruijn Graph-Based Whole-Genomic Sequence Assembly Algorithms and Applications. GreenCom/iThings/CPScom (2013)
Lijun Dong, Xiaojun Kang, Maocai Wang
How to Find a Rigorous Set of Roles for Application of RBAC. J. Softw. 7 (2) (2012)