Xiaojun Kang

21 papers B 2C 1Journal 13Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
LAAP: Learning the Argument of An Entity with Event Prompts for document-level event extraction.
Neurocomputing
Jinghan Xu, Cheng Yang, Xiaojun Kang
2025 J jnl
Measuring the Inferential Values of Relations in Knowledge Graphs.
Algorithms
Xu Zhang, Xiaojun Kang, Hong Yao, Lijun Dong
2024 J jnl
CEDG-GeoQA: Knowledge base question answering for the geoscience domain via Chinese entity description graph.
Earth Sci. Informatics
Lai Wei, Qinghua Lu, Yilin Duan, Hong Yao, Xiaojun Kang
2023 J jnl
Anchors-Based Incremental Embedding for Growing Knowledge Graphs.
IEEE Trans. Knowl. Data Eng.
Lijun Dong, Dongyang Zhao, Xiaoai Zhang, Xinchuan Li, Xiaojun Kang, Hong Yao
2023 — conf
Neural-Symbolic Reasoning with External Knowledge for Machine Reading Comprehension.
ICONIP (11)
Yilin Duan, Sijia Zhou, Xiaoyue Peng, Xiaojun Kang, Hong Yao
2022 J jnl
Dynamic hypergraph neural networks based on key hyperedges.
Inf. Sci.
Xiaojun Kang, Xinchuan Li, Hong Yao, Dan Li, Bo Jiang, Xiaoyue Peng, Tiejun Wu, Shihua Qi, Lijun Dong
2022 J jnl
Graph Neural Networks with Information Anchors for Node Representation Learning.
Mob. Networks Appl.
Chao Liu, Xinchuan Li, Dongyang Zhao, Shaolong Guo, Xiaojun Kang, Lijun Dong, Hong Yao
2022 J jnl
Region-aware neural graph collaborative filtering for personalized recommendation.
Int. J. Digit. Earth
Shengwen Li, Renyao Chen, Chenpeng Sun, Hong Yao, Xuyang Cheng, Zhuoru Li, Tailong Li, Xiaojun Kang
2020 J jnl
A Neural-Network-Based Model of Charge Prediction via the Judicial Interpretation of Crimes.
IEEE Access
Xinchuan Li, Xiaojun Kang, Chenwei Wang, Lijun Dong, Hong Yao, Shixiang Li
2020 J jnl
Conditional Introspective Variational Autoencoder for Image Synthesis.
IEEE Access
Kun Zheng, Yafan Cheng, Xiaojun Kang, Hong Yao, Tian Tian
2019 J jnl
A Case Study of the Augmentation and Evaluation of Training Data for Deep Learning.
ACM J. Data Inf. Qual.
Junhua Ding, Xinchuan Li, Xiaojun Kang, Venkat N. Gudivada
2019 C conf
A-GNN: Anchors-Aware Graph Neural Networks for Node Embedding.
QSHINE
Chao Liu, Xinchuan Li, Dongyang Zhao, Shaolong Guo, Xiaojun Kang, Lijun Dong, Hong Yao
2019 B conf
Distant-Supervised Relation Extraction with Hierarchical Attention Based on Knowledge Graph.
ICTAI
Hong Yao, Lijun Dong, Shiqi Zhen, Xiaojun Kang, Xinchuan Li, Qingzhong Liang
2019 J jnl
TDN: An Integrated Representation Learning Model of Knowledge Graphs.
IEEE Access
Xiaojun Kang, Hong Yao, Qingtao Li, Xinchuan Li, Chao Liu, Lijun Dong
2017 B conf
An approach for detecting groundwater runoff connectivity using cluster analysis.
SMC
Xiaojun Kang, Xuguang Zhao, Caixia Guo, Junhua Ding
2017 — conf
Building a Deep Learning Classifier for Enhancing a Biomedical Big Data Service.
SCC
Junhua Ding, Xiaojun Kang, Xin-Hua Hu, Venkat N. Gudivada
2017 — conf
Building an SVM Classifier for Automated Selection of Big Data.
BigData Congress
Junhua Ding, Jiabin Wang, Xiaojun Kang, Xin-Hua Hu
2017 — conf
Validating a Deep Learning Framework by Metamorphic Testing.
MET@ICSE
Junhua Ding, Xiaojun Kang, Xin-Hua Hu
2014 J jnl
ESPSA: A prediction-based algorithm for streaming time series segmentation.
Expert Syst. Appl.
Guiling Li, Zhihua Cai, Xiaojun Kang, Zongda Wu, Yuanzhen Wang
2013 — conf
De Bruijn Graph-Based Whole-Genomic Sequence Assembly Algorithms and Applications.
GreenCom/iThings/CPScom
Xiaojun Kang, Shanyu Tang, Yongge Ma, Ruixiang Liu, Yaping Wang
2012 J jnl
How to Find a Rigorous Set of Roles for Application of RBAC.
J. Softw.
Lijun Dong, Xiaojun Kang, Maocai Wang