Xiangjun Dong

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 40

Top Topics

Association Rules

Sequential Patterns

Data Imputation

Hyperspectral Image Classification

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Knowl. Based Syst.

Publications

Ke Liang, Yue Liu, Sihang Zhou, Wenxuan Tu, Yi Wen, Xihong Yang, Xiangjun Dong, Xinwang Liu
Knowledge Graph Contrastive Learning Based on Relation-Symmetrical Structure. IEEE Trans. Knowl. Data Eng. 36 (1) (2024)
Ke Liang, Lingyuan Meng, Sihang Zhou, Wenxuan Tu, Siwei Wang, Yue Liu, Meng Liu, Long Zhao, Xiangjun Dong, Xinwang Liu
MINES: Message Intercommunication for Inductive Relation Reasoning over Neighbor-Enhanced Subgraphs. AAAI (2024)
Chuanhou Sun, Yongshun Gong, Ying Guo, Long Zhao, Hongjiao Guan, Xinwang Liu, Xiangjun Dong
SN-RNSP: Mining self-adaptive nonoverlapping repetitive negative sequential patterns in transaction sequences. Knowl. Based Syst. 287 (2024)
Haojie Xie, Yongshun Gong, Xiangjun Dong
Spatial-temporal regularized tensor decomposition method for traffic speed data imputation. Int. J. Data Sci. Anal. 17 (2) (2024)
Mengxin Cao, Guixin Zhao, Guohua Lv, Aimei Dong, Ying Guo, Xiangjun Dong
Spectral-Spatial-Language Fusion Network for Hyperspectral, LiDAR, and Text Data Classification. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Shujie Dong, Yuansheng Liu, Yongshun Gong, Xiangjun Dong, Xiangxiang Zeng
scCAN: Clustering With Adaptive Neighbor-Based Imputation Method for Single-Cell RNA-Seq Data. IEEE ACM Trans. Comput. Biol. Bioinform. 21 (1) (2024)
Mengxin Cao, Xu Zhang, Jinyong Cheng, Guixin Zhao, Wei Li, Xiangjun Dong
Spatial-Spectral-Semantic Cross-Domain Few-Shot Learning for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Hongjiao Guan, Long Zhao, Xiangjun Dong, Chuan Chen
Extended natural neighborhood for SMOTE and its variants in imbalanced classification. Eng. Appl. Artif. Intell. 124 (2023)
Xinming Gao, Yongshun Gong, Tiantian Xu, Jinhu Lü, Yuhai Zhao, Xiangjun Dong
Toward Better Structure and Constraint to Mine Negative Sequential Patterns. IEEE Trans. Neural Networks Learn. Syst. 34 (2) (2023)
Ping Qiu, Yongshun Gong, Yuhai Zhao, Longbing Cao, Chengqi Zhang, Xiangjun Dong
An Efficient Method for Modeling Nonoccurring Behaviors by Negative Sequential Patterns With Loose Constraints. IEEE Trans. Neural Networks Learn. Syst. 34 (4) (2023)
Xu Zhang, Yongshun Gong, Chengqi Zhang, Xiaoming Wu, Ying Guo, Wenpeng Lu, Long Zhao, Xiangjun Dong
Spatio-temporal fusion and contrastive learning for urban flow prediction. Knowl. Based Syst. 282 (2023)
Xiaopei Hu, Guixin Zhao, Aimei Dong, Guohua Lv, Yi Zhai, Ying Guo, Xiangjun Dong
Few-Shot Hyperspectral Image Classification with Spectral-Spatial Feature Fusion Based on Fuzzy Broad Learning System. ICIP (2023)
Mengxin Cao, Guixin Zhao, Aimei Dong, Guohua Lv, Ying Guo, Xiangjun Dong
Few-Shot Hyperspectral Image Classification Based on Cross-Domain Spectral Semantic Relation Transformer. ICIP (2023)
Hongjiao Guan, Xiangjun Dong, Chuan Chen, Long Zhao, Xiaoqiang Ren
Dual objective bounded abstaining model to control performance for safety-critical applications. Eng. Appl. Artif. Intell. 126 (2023)
Jiao Liu, Long Zhao, Chengkun Si, Hongjiao Guan, Xiangjun Dong
Improved ReliefF-based feature selection algorithm for cancer histology. Biomed. Signal Process. Control. 85 (2023)
Fengling Cui, Xiaoqiang Ren, Xiangjun Dong
Mining Interesting Negative Sequential Patterns Based on Influence. IEEE Access 11 (2023)
Xu Zhang, Yongshun Gong, Xinxin Zhang, Xiaoming Wu, Chengqi Zhang, Xiangjun Dong
Mask- and Contrast-Enhanced Spatio-Temporal Learning for Urban Flow Prediction. CIKM (2023)
Nannan Zhang, Xiaoqiang Ren, Xiangjun Dong
An Effective Method for Mining Negative Sequential Patterns From Data Streams. IEEE Access 11 (2023)
Boxin Guan, Tiantian Xu, Yuhai Zhao, Yuan Li, Xiangjun Dong
A random grouping-based self-regulating artificial bee colony algorithm for interactive feature detection. Knowl. Based Syst. 243 (2022)
Chuanhou Sun, Xiaoqi Jiang, Xiangjun Dong, Tiantian Xu, Long Zhao, Zhao Li, Yuhai Zhao
Mining Negative Sequential Rules from Negative Sequential Patterns. DASFAA (1) (2022)
Yanyu Hu, Long Zhao, Zhao Li, Xiangjun Dong, Tiantian Xu, Yuhai Zhao
Classifying the multi-omics data of gastric cancer using a deep feature selection method. Expert Syst. Appl. 200 (2022)
Qiang Chi, Guohua Lv, Guixin Zhao, Xiangjun Dong
A Novel Knowledge Distillation Method for Self-Supervised Hyperspectral Image Classification. Remote. Sens. 14 (18) (2022)
Ying Yin, Yuhai Zhao, He Li, Xiangjun Dong
Multi-objective evolutionary clustering for large-scale dynamic community detection. Inf. Sci. 549 (2021)
Xiangjun Dong, Yongshun Gong, Longbing Cao
e-RNSP: An Efficient Method for Mining Repetition Negative Sequential Patterns. IEEE Trans. Cybern. 50 (5) (2020)
Yue Lu, Long Zhao, Zhao Li, Xiangjun Dong
Genetic Similarity Analysis Based on Positive and Negative Sequence Patterns of DNA. Symmetry 12 (12) (2020)
Yuhai Zhao, Xiangjun Dong, Ying Yin
Effective and Efficient Dense Subgraph Query in Large-Scale Social Internet of Things. IEEE Trans. Ind. Informatics 16 (4) (2020)
Xiangjun Dong, Feng Hao, Long Zhao, Tiantian Xu
An efficient method for pruning redundant negative and positive association rules. Neurocomputing 393 (2020)
Jinguang Sun, Tao Li, Hua Yan, Xiangjun Dong
Research on an expression classification method based on a probability graph model. Multim. Tools Appl. 79 (45-46) (2020)
Xiangjun Dong, Ping Qiu, Jinhu Lü, Longbing Cao, Tiantian Xu
Mining Top- ${k}$ Useful Negative Sequential Patterns via Learning. IEEE Trans. Neural Networks Learn. Syst. 30 (9) (2019)
Ying Yin, Xiangjun Dong, Tiantian Xu
Rapid and Efficient Bug Assignment Using ELM for IOT Software. IEEE Access 6 (2018)
Long Zhao, Xiangjun Dong
An Industrial Internet of Things Feature Selection Method Based on Potential Entropy Evaluation Criteria. IEEE Access 6 (2018)
Xiangjun Dong, Yongshun Gong, Longbing Cao
F-NSP+: A fast negative sequential patterns mining method with self-adaptive data storage. Pattern Recognit. 84 (2018)
Feng Hao, Long Zhao, Tiantian Xu, Xiangjun Dong
Application of Negative and Positive Association Rules in Mental Health Analysis of College Students. ICNC-FSKD (2018)
Jialun Pei, Long Zhao, Xiangjun Dong, Xue Dong
Effective algorithm for determining the number of clusters and its application in image segmentation. Clust. Comput. 20 (4) (2017)
Chenlu Li, Feng Hao, Long Zhao, Lizhe Song, Xiangjun Dong
Analysis of medical and healthcare data based on positive and negative association rules. ICNC-FSKD (2017)
Ping Qiu, Long Zhao, Xiangjun Dong
NegI-NSP: Negative sequential pattern mining based on loose constraints. IECON (2017)
Long Zhao, Xue Dong, WeiYang Chen, LinFeng Jiang, Xiangjun Dong
The combined cloud model for edge detection. Multim. Tools Appl. 76 (13) (2017)
Long Zhao, Qian Gao, Xiangjun Dong, Aimei Dong, Xue Dong
K- local maximum margin feature extraction algorithm for churn prediction in telecom. Clust. Comput. 20 (2) (2017)
Longbing Cao, Xiangjun Dong, Zhigang Zheng
e-NSP: Efficient negative sequential pattern mining. Artif. Intell. 235 (2016)
Long Zhao, LinFeng Jiang, Xiangjun Dong
Supervised feature selection method via potential value estimation. Clust. Comput. 19 (4) (2016)
Can Wang, Xiangjun Dong, Fei Zhou, Longbing Cao, Chi-Hung Chi
Coupled Attribute Similarity Learning on Categorical Data. IEEE Trans. Neural Networks Learn. Syst. 26 (4) (2015)
Xiangjun Dong, Zhigang Zheng, Longbing Cao, Yanchang Zhao, Chengqi Zhang, Jinjiu Li, Wei Wei, Yuming Ou
e-NSP: efficient negative sequential pattern mining based on identified positive patterns without database rescanning. CIKM (2011)