Xiaojun Kang - RankMe

21 papers B 2C 1Journal 13Unranked 5

Year	Rank	Type	Title / 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