Xiaojun Kang

According to our database, Xiaojun Kang authored at least 18 papers between 2012 and 2023.

Collaborative distances:

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

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

Neural-Symbolic Reasoning with External Knowledge for Machine Reading Comprehension.

Yilin Duan, Sijia Zhou, Xiaoyue Peng, Xiaojun Kang, Hong Yao

Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022

Region-aware neural graph collaborative filtering for personalized recommendation.

Shengwen Li, Renyao Chen, Chenpeng Sun, Hong Yao, Xuyang Cheng, Zhuoru Li, Tailong Li, Xiaojun Kang

Int. J. Digit. Earth, December, 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

2020

Conditional Introspective Variational Autoencoder for Image Synthesis.

Kun Zheng, Yafan Cheng, Xiaojun Kang, Hong Yao, Tian Tian

IEEE Access, 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

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

2017

An approach for detecting groundwater runoff connectivity using cluster analysis.

Xiaojun Kang, Xuguang Zhao, Caixia Guo, Junhua Ding

Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Validating a Deep Learning Framework by Metamorphic Testing.

Junhua Ding, Xiaojun Kang, Xin-Hua Hu

Proceedings of the 2nd IEEE/ACM International Workshop on Metamorphic Testing, 2017

Building an SVM Classifier for Automated Selection of Big Data.

Junhua Ding, Jiabin Wang, Xiaojun Kang, Xin-Hua Hu

Proceedings of the 2017 IEEE International Congress on Big Data, 2017

Building a Deep Learning Classifier for Enhancing a Biomedical Big Data Service.

Junhua Ding, Xiaojun Kang, Xin-Hua Hu, Venkat N. Gudivada

Proceedings of the 2017 IEEE International Conference on Services Computing, 2017

2014

ESPSA: A prediction-based algorithm for streaming time series segmentation.

Guiling Li, Zhihua Cai, Xiaojun Kang, Zongda Wu, Yuanzhen Wang

Expert Syst. Appl., 2014

2013

De Bruijn Graph-Based Whole-Genomic Sequence Assembly Algorithms and Applications.

Xiaojun Kang, Shanyu Tang, Yongge Ma, Ruixiang Liu, Yaping Wang

Proceedings of the 2013 IEEE International Conference on Green Computing and Communications (GreenCom) and IEEE Internet of Things (iThings) and IEEE Cyber, 2013

2012

How to Find a Rigorous Set of Roles for Application of RBAC.

Lijun Dong, Xiaojun Kang, Maocai Wang

J. Softw., 2012