How to Find a Rigorous Set of Roles for Application of RBAC. - Lijun Dong; Xiaojun Kang; Maocai Wang (J. Softw., 2012)

De Bruijn Graph-Based Whole-Genomic Sequence Assembly Algorithms and Applications. - Xiaojun Kang; Shanyu Tang; Yongge Ma; Ruixiang Liu; Yaping Wang (GreenCom/iThings/CPScom, 2013)

ESPSA: A prediction-based algorithm for streaming time series segmentation. - Guiling Li; Zhihua Cai; Xiaojun Kang; Zongda Wu; Yuanzhen Wang (Expert Syst. Appl., 2014)

Building a Deep Learning Classifier for Enhancing a Biomedical Big Data Service. - Junhua Ding; Xiaojun Kang; Xin-Hua Hu; Venkat N. Gudivada (SCC, 2017)

Building an SVM Classifier for Automated Selection of Big Data. - Junhua Ding; Jiabin Wang; Xiaojun Kang; Xin-Hua Hu (BigData Congress, 2017)

Validating a Deep Learning Framework by Metamorphic Testing. - Junhua Ding; Xiaojun Kang; Xin-Hua Hu (MET@ICSE, 2017)

An approach for detecting groundwater runoff connectivity using cluster analysis. - Xiaojun Kang; Xuguang Zhao; Caixia Guo; Junhua Ding (SMC, 2017)

Distant-Supervised Relation Extraction with Hierarchical Attention Based on Knowledge Graph. - Hong Yao; Lijun Dong; Shiqi Zhen; Xiaojun Kang; Xinchuan Li; Qingzhong Liang (ICTAI, 2019)

A-GNN: Anchors-Aware Graph Neural Networks for Node Embedding. - Chao Liu 007; Xinchuan Li; Dongyang Zhao; Shaolong Guo; Xiaojun Kang; Lijun Dong; Hong Yao (QSHINE, 2019)

TDN: An Integrated Representation Learning Model of Knowledge Graphs. - Xiaojun Kang; Hong Yao; Qingtao Li; Xinchuan Li; Chao Liu 007; Lijun Dong (IEEE Access, 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)

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)

Conditional Introspective Variational Autoencoder for Image Synthesis. - Kun Zheng; Yafan Cheng; Xiaojun Kang; Hong Yao; Tian Tian 006 (IEEE Access, 2020)

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)

Graph Neural Networks with Information Anchors for Node Representation Learning. - Chao Liu 007; Xinchuan Li; Dongyang Zhao; Shaolong Guo; Xiaojun Kang; Lijun Dong; Hong Yao (Mob. Networks Appl., 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, 2022)

Neural-Symbolic Reasoning with External Knowledge for Machine Reading Comprehension. - Yilin Duan; Sijia Zhou; Xiaoyue Peng; Xiaojun Kang; Hong Yao (ICONIP (11), 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., 2023)

CEDG-GeoQA: Knowledge base question answering for the geoscience domain via Chinese entity description graph. - Lai Wei; Qinghua Lu 004; Yilin Duan; Hong Yao; Xiaojun Kang (Earth Sci. Informatics, 2024)

LAAP: Learning the Argument of An Entity with Event Prompts for document-level event extraction. - Jinghan Xu; Cheng Yang; Xiaojun Kang (Neurocomputing, 2025)