Xiangjun Dong

According to our database, Xiangjun Dong authored at least 62 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Spatial-temporal regularized tensor decomposition method for traffic speed data imputation.

Haojie Xie, Yongshun Gong, Xiangjun Dong

Int. J. Data Sci. Anal., March, 2024

Knowledge Graph Contrastive Learning Based on Relation-Symmetrical Structure.

Ke Liang, Yue Liu, Sihang Zhou, Wenxuan Tu, Yi Wen, Xihong Yang, Xiangjun Dong, Xinwang Liu

IEEE Trans. Knowl. Data Eng., January, 2024

Spectral-Spatial-Language Fusion Network for Hyperspectral, LiDAR, and Text Data Classification.

Mengxin Cao, Guixin Zhao, Guohua Lv, Aimei Dong, Ying Guo, Xiangjun Dong

IEEE Trans. Geosci. Remote. Sens., 2024

scCAN: Clustering With Adaptive Neighbor-Based Imputation Method for Single-Cell RNA-Seq Data.

Shujie Dong, Yuansheng Liu, Yongshun Gong, Xiangjun Dong, Xiangxiang Zeng

IEEE ACM Trans. Comput. Biol. Bioinform., 2024

MINES: Message Intercommunication for Inductive Relation Reasoning over Neighbor-Enhanced Subgraphs.

Ke Liang, Lingyuan Meng, Sihang Zhou, Wenxuan Tu, Siwei Wang, Yue Liu, Meng Liu, Long Zhao, Xiangjun Dong, Xinwang Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Spatio-temporal fusion and contrastive learning for urban flow prediction.

Xu Zhang, Yongshun Gong, Chengqi Zhang, Xiaoming Wu, Ying Guo, Wenpeng Lu, Long Zhao, Xiangjun Dong

Knowl. Based Syst., December, 2023

Improved ReliefF-based feature selection algorithm for cancer histology.

Jiao Liu, Long Zhao, Chengkun Si, Hongjiao Guan, Xiangjun Dong

Biomed. Signal Process. Control., August, 2023

An Efficient Method for Modeling Nonoccurring Behaviors by Negative Sequential Patterns With Loose Constraints.

Ping Qiu, Yongshun Gong, Yuhai Zhao, Longbing Cao, Chengqi Zhang, Xiangjun Dong

IEEE Trans. Neural Networks Learn. Syst., April, 2023

Toward Better Structure and Constraint to Mine Negative Sequential Patterns.

Xinming Gao, Yongshun Gong, Tiantian Xu, Jinhu Lü, Yuhai Zhao, Xiangjun Dong

IEEE Trans. Neural Networks Learn. Syst., February, 2023

Extended natural neighborhood for SMOTE and its variants in imbalanced classification.

Hongjiao Guan, Long Zhao, Xiangjun Dong, Chuan Chen

Eng. Appl. Artif. Intell., 2023

An Effective Method for Mining Negative Sequential Patterns From Data Streams.

Nannan Zhang, Xiaoqiang Ren, Xiangjun Dong

IEEE Access, 2023

Mining Interesting Negative Sequential Patterns Based on Influence.

Fengling Cui, Xiaoqiang Ren, Xiangjun Dong

IEEE Access, 2023

Few-Shot Hyperspectral Image Classification with Spectral-Spatial Feature Fusion Based on Fuzzy Broad Learning System.

Xiaopei Hu, Guixin Zhao, Aimei Dong, Guohua Lv, Yi Zhai, Ying Guo, Xiangjun Dong

Proceedings of the IEEE International Conference on Image Processing, 2023

Few-Shot Hyperspectral Image Classification Based on Cross-Domain Spectral Semantic Relation Transformer.

Mengxin Cao, Guixin Zhao, Aimei Dong, Guohua Lv, Ying Guo, Xiangjun Dong

Proceedings of the IEEE International Conference on Image Processing, 2023

Mask- and Contrast-Enhanced Spatio-Temporal Learning for Urban Flow Prediction.

Xu Zhang, Yongshun Gong, Xinxin Zhang, Xiaoming Wu, Chengqi Zhang, Xiangjun Dong

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

A Novel Knowledge Distillation Method for Self-Supervised Hyperspectral Image Classification.

Qiang Chi, Guohua Lv, Guixin Zhao, Xiangjun Dong

Remote. Sens., 2022

A random grouping-based self-regulating artificial bee colony algorithm for interactive feature detection.

Boxin Guan, Tiantian Xu, Yuhai Zhao, Yuan Li, Xiangjun Dong

Knowl. Based Syst., 2022

AENAR: An aspect-aware explainable neural attentional recommender model for rating predication.

Tianwei Zhang, Chuanhou Sun, Zhiyong Cheng, Xiangjun Dong

Expert Syst. Appl., 2022

Classifying the multi-omics data of gastric cancer using a deep feature selection method.

Yanyu Hu, Long Zhao, Zhao Li, Xiangjun Dong, Tiantian Xu, Yuhai Zhao

Expert Syst. Appl., 2022

Mining Negative Sequential Rules from Negative Sequential Patterns.

Chuanhou Sun, Xiaoqi Jiang, Xiangjun Dong, Tiantian Xu, Long Zhao, Zhao Li, Yuhai Zhao

Proceedings of the Database Systems for Advanced Applications, 2022

Face Age Predictions by combining Local and Global Facial Features.

Kaiyan Chen, Xiangjun Dong, Weiyang Chen

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

Multi-objective evolutionary clustering for large-scale dynamic community detection.

Ying Yin, Yuhai Zhao, He Li, Xiangjun Dong

Inf. Sci., 2021

2020

Effective and Efficient Dense Subgraph Query in Large-Scale Social Internet of Things.

Yuhai Zhao, Xiangjun Dong, Ying Yin

IEEE Trans. Ind. Informatics, 2020

e-RNSP: An Efficient Method for Mining Repetition Negative Sequential Patterns.

Xiangjun Dong, Yongshun Gong, Longbing Cao

IEEE Trans. Cybern., 2020

e-HUNSR: An Efficient Algorithm for Mining High Utility Negative Sequential Rules.

Mengjiao Zhang, Tiantian Xu, Zhao Li, Xiqing Han, Xiangjun Dong

Symmetry, 2020

Genetic Similarity Analysis Based on Positive and Negative Sequence Patterns of DNA.

Yue Lu, Long Zhao, Zhao Li, Xiangjun Dong

Symmetry, 2020

Research on an expression classification method based on a probability graph model.

Jinguang Sun, Tao Li, Hua Yan, Xiangjun Dong

Multim. Tools Appl., 2020

An efficient method for pruning redundant negative and positive association rules.

Xiangjun Dong, Feng Hao, Long Zhao, Tiantian Xu

Neurocomputing, 2020

A Spatial Missing Value Imputation Method for Multi-view Urban Statistical Data.

Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Bei Chen, Xiangjun Dong

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Mining Top- ${k}$ Useful Negative Sequential Patterns via Learning.

Xiangjun Dong, Ping Qiu, Jinhu Lü, Longbing Cao, Tiantian Xu

IEEE Trans. Neural Networks Learn. Syst., 2019

Exploring the Utilization of Gradient Information in SIFT Based Local Image Descriptors.

Guangyao Dong, Han Yan, Guohua Lv, Xiangjun Dong

Symmetry, 2019

Campus Data Analysis Based on Positive and Negative Sequential Patterns.

Xiaoqi Jiang, Tiantian Xu, Xiangjun Dong

Int. J. Pattern Recognit. Artif. Intell., 2019

Transform Domain Based Medical Image Super-resolution via Deep Multi-scale Network.

Chunpeng Wang, Simiao Wang, Bin Ma, Jian Li, Xiangjun Dong, Zhiqiu Xia

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

F-NSP+: A fast negative sequential patterns mining method with self-adaptive data storage.

Xiangjun Dong, Yongshun Gong, Longbing Cao

Pattern Recognit., 2018

Mining High Utility Sequential Patterns Using Multiple Minimum Utility.

Tiantian Xu, Jianliang Xu, Xiangjun Dong

Int. J. Pattern Recognit. Artif. Intell., 2018

Erratum: "Mining High Utility Sequential Patterns with Negative Item Values".

Tiantian Xu, Xiangjun Dong, Jianliang Xu, Xue Dong

Int. J. Pattern Recognit. Artif. Intell., 2018

An Industrial Internet of Things Feature Selection Method Based on Potential Entropy Evaluation Criteria.

Long Zhao, Xiangjun Dong

IEEE Access, 2018

Rapid and Efficient Bug Assignment Using ELM for IOT Software.

Ying Yin, Xiangjun Dong, Tiantian Xu

IEEE Access, 2018

Efficient High Utility Negative Sequential Patterns Mining in Smart Campus.

Tiantian Xu, Tongxuan Li, Xiangjun Dong

IEEE Access, 2018

Automatic Classification of Chinese Herbal Based on Deep Learning Method.

Shupeng Liu, WeiYang Chen, Xiangjun Dong

Proceedings of the 14th International Conference on Natural Computation, 2018

Application of Negative and Positive Association Rules in Mental Health Analysis of College Students.

Feng Hao, Long Zhao, Tiantian Xu, Xiangjun Dong

Proceedings of the 14th International Conference on Natural Computation, 2018

2017

The combined cloud model for edge detection.

Long Zhao, Xue Dong, WeiYang Chen, LinFeng Jiang, Xiangjun Dong

Multim. Tools Appl., 2017

E-msNSP: Efficient Negative Sequential Patterns Mining Based on Multiple Minimum Supports.

Tiantian Xu, Xiangjun Dong, Jianliang Xu, Yongshun Gong

Int. J. Pattern Recognit. Artif. Intell., 2017

Mining High Utility Sequential Patterns with Negative Item Values.

Tiantian Xu, Xiangjun Dong, Jianliang Xu, Xue Dong

Int. J. Pattern Recognit. Artif. Intell., 2017

e-NSPFI: Efficient Mining Negative Sequential Pattern from Both Frequent and Infrequent Positive Sequential Patterns.

Yongshun Gong, Tiantian Xu, Xiangjun Dong, Guohua Lv

Int. J. Pattern Recognit. Artif. Intell., 2017

K- local maximum margin feature extraction algorithm for churn prediction in telecom.

Long Zhao, Qian Gao, Xiangjun Dong, Aimei Dong, Xue Dong

Clust. Comput., 2017

Effective algorithm for determining the number of clusters and its application in image segmentation.

Jialun Pei, Long Zhao, Xiangjun Dong, Xue Dong

Clust. Comput., 2017

NegI-NSP: Negative sequential pattern mining based on loose constraints.

Ping Qiu, Long Zhao, Xiangjun Dong

Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017

HUNSPM: An efficient algorithm for mining high utility negative sequential patterns.

Tongxuan Li, Tiantian Xu, Xiangjun Dong

Proceedings of the 13th International Conference on Natural Computation, 2017

Analysis of medical and healthcare data based on positive and negative association rules.

Chenlu Li, Feng Hao, Long Zhao, Lizhe Song, Xiangjun Dong

Proceedings of the 13th International Conference on Natural Computation, 2017

2016

Correction: Gao, Q. et al. A Context-Aware Mobile User Behavior-Based Neighbor Finding Approach for Preference Profile Construction. <i>Sensors</i> 2016, <i>2</i>, 143.

Qian Gao, Deqian Fu, Xiangjun Dong

Sensors, 2016

A Context-Aware Mobile User Behavior-Based Neighbor Finding Approach for Preference Profile Construction.

Qian Gao, Deqian Fu, Xiangjun Dong

Sensors, 2016

Supervised feature selection method via potential value estimation.

Long Zhao, LinFeng Jiang, Xiangjun Dong

Clust. Comput., 2016

e-NSP: Efficient negative sequential pattern mining.

Longbing Cao, Xiangjun Dong, Zhigang Zheng

Artif. Intell., 2016

A Context-awareness Based Dynamic Personalized Hierarchical Ontology Modeling Approach.

Qian Gao, Xiangjun Dong

Proceedings of the 11th International Conference on Future Networks and Communications (FNC 2016) / The 13th International Conference on Mobile Systems and Pervasive Computing (MobiSPC 2016) / Affiliated Workshops, 2016

2015

Coupled Attribute Similarity Learning on Categorical Data.

Can Wang, Xiangjun Dong, Fei Zhou, Longbing Cao, Chi-Hung Chi

IEEE Trans. Neural Networks Learn. Syst., 2015

Select actionable positive or negative sequential patterns.

Xiangjun Dong, Chuanlu Liu, Tiantian Xu, Dakui Wang

J. Intell. Fuzzy Syst., 2015

SAPNSP: Select actionable positive and negative sequential patterns based on a contribution metric.

Chuanlu Liu, Xiangjun Dong, Caoyuan Li, Yan Li

Proceedings of the 12th International Conference on Fuzzy Systems and Knowledge Discovery, 2015

A Context-Aware Mobile User Behavior Based Preference Neighbor Finding Approach for Personalized Information Retrieval.

Qian Gao, Xiangjun Dong, Deqian Fu

Proceedings of the 10th International Conference on Future Networks and Communications (FNC 2015) / The 12th International Conference on Mobile Systems and Pervasive Computing (MobiSPC 2015) / Affiliated Workshops, 2015

2013

Mining frequent patterns with multiple minimum supports using basic Apriori.

Tiantian Xu, Xiangjun Dong

Proceedings of the Ninth International Conference on Natural Computation, 2013

2011

e-NSP: efficient negative sequential pattern mining based on identified positive patterns without database rescanning.

Xiangjun Dong, Zhigang Zheng, Longbing Cao, Yanchang Zhao, Chengqi Zhang, Jinjiu Li, Wei Wei, Yuming Ou

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2008

Mining Negative Association Rules in Multi-database.

Shiju Shang, Xiangjun Dong, Runian Geng, Long Zhao

Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008