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2020 – today
- 2025
[j12]Jinghan Xu, Cheng Yang, Xiaojun Kang
:
LAAP: Learning the Argument of An Entity with Event Prompts for document-level event extraction. Neurocomputing 613: 128584 (2025)- 2024
- [j11]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): 2609-2621 (2024) - 2023
- [j10]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) - [c8]Yilin Duan, Sijia Zhou, Xiaoyue Peng, Xiaojun Kang, Hong Yao:
Neural-Symbolic Reasoning with External Knowledge for Machine Reading Comprehension. ICONIP (11) 2023: 440-452 - 2022
- [j9]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): 1446-1462 (2022) - [j8]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) - [j7]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
- [j6]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) - [j5]Kun Zheng, Yafan Cheng, Xiaojun Kang, Hong Yao, Tian Tian:
Conditional Introspective Variational Autoencoder for Image Synthesis. IEEE Access 8: 153905-153913 (2020)
2010 – 2019
- 2019
- [j4]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) - [j3]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]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 - 2017
- [c5]Junhua Ding, Xiaojun Kang, Xin-Hua Hu, Venkat N. Gudivada:
Building a Deep Learning Classifier for Enhancing a Biomedical Big Data Service. SCC 2017: 140-147 - [c4]Junhua Ding, Jiabin Wang, Xiaojun Kang, Xin-Hua Hu:
Building an SVM Classifier for Automated Selection of Big Data. BigData Congress 2017: 15-22 - [c3]Junhua Ding, Xiaojun Kang, Xin-Hua Hu:
Validating a Deep Learning Framework by Metamorphic Testing. MET@ICSE 2017: 28-34 - [c2]Xiaojun Kang, Xuguang Zhao, Caixia Guo, Junhua Ding:
An approach for detecting groundwater runoff connectivity using cluster analysis. SMC 2017: 2402-2407 - 2014
- [j2]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): 6098-6105 (2014) - 2013
- [c1]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: 2094-2097 - 2012
- [j1]Lijun Dong, Xiaojun Kang, Maocai Wang:
How to Find a Rigorous Set of Roles for Application of RBAC. J. Softw. 7(2): 398-407 (2012)
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