Xiangjun Dong

81 papers A* 3A 2B 3C 1Misc 2Journal 57Unranked 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
DS_HURNSP: An effective method for mining high utility repeated negative sequential patterns from data streams.
Inf. Process. Manag.
Xiangjun Dong, Yicong Zhen, Ping Qiu, Jing Chi, Lei Guo, Wenpeng Lu, Long Zhao, Yongshun Gong, Yuhai Zhao
2026 J jnl
HU-RNSP: Efficiently mining high-utility repeated negative sequential patterns.
Inf. Process. Manag.
Ke Xiao, Ping Qiu, Dun Lan, Xiangjun Dong, Lei Guo, Yuhai Zhao, Yongshun Gong, Long Zhao
2026 J jnl
Missing traffic data imputation with a conditional diffusion framework.
Expert Syst. Appl.
Jie Li, Dun Lan, Yongshun Gong, Long Zhao, Wenpeng Lu, Yuhai Zhao, Xiangjun Dong, Xiaoming Wu
2026 J jnl
TaNSP: An efficient target pattern mining algorithm based on negative sequential pattern.
Inf. Process. Manag.
Xiaowen Cui, Xue Dong, Ping Qiu, Chuanhou Sun, Yuhai Zhao, Wenpeng Lu, Xiangjun Dong
2025 J jnl
A Mutually Enhancement Network for Superpixel Segmentation and Classification of Hyperspectral Image.
IEEE Trans. Geosci. Remote. Sens.
Mengxin Cao, Yongmin Li, Xu Zhang, Guixin Zhao, Guohua Lv, Aimei Dong, Jinyong Cheng, Wei Li, Xiangjun Dong
2025 J jnl
Cross-Domain Hyperspectral Image Classification via Mamba-CNN and Knowledge Distillation.
IEEE Trans. Geosci. Remote. Sens.
Aoyan Du, Guixin Zhao, Mengxin Cao, Yuyao Wang, Aimei Dong, Guohua Lv, Yongbiao Gao, Dongqing Li, Xiangjun Dong
2025 A* conf
DPFMVC: Dynamic Progressive Fusion for Multi-view Clustering.
ACM Multimedia
Taichun Zhou, Zhibin Dong, Siwei Wang, Ke Liang, Miaomiao Li, Xinwang Liu, En Zhu, Xiangjun Dong
2025 J jnl
Enhancing urban flow prediction via mutual reinforcement with multi-scale regional information.
Neural Networks
Xu Zhang, Mengxin Cao, Yongshun Gong, Xiaoming Wu, Xiangjun Dong, Ying Guo, Long Zhao, Chengqi Zhang
2025 J jnl
TK-RNSP: Efficient Top-K Repetitive Negative Sequential Pattern mining.
Inf. Process. Manag.
Dun Lan, Chuanhou Sun, Xiangjun Dong, Ping Qiu, Yongshun Gong, Xinwang Liu, Philippe Fournier-Viger, Chengqi Zhang
2024 J jnl
Knowledge Graph Contrastive Learning Based on Relation-Symmetrical Structure.
IEEE Trans. Knowl. Data Eng.
Ke Liang, Yue Liu, Sihang Zhou, Wenxuan Tu, Yi Wen, Xihong Yang, Xiangjun Dong, Xinwang Liu
2024 A* conf
MINES: Message Intercommunication for Inductive Relation Reasoning over Neighbor-Enhanced Subgraphs.
AAAI
Ke Liang, Lingyuan Meng, Sihang Zhou, Wenxuan Tu, Siwei Wang, Yue Liu, Meng Liu, Long Zhao, Xiangjun Dong, Xinwang Liu
2024 J jnl
Mining actionable repetitive positive and negative sequential patterns.
Knowl. Based Syst.
Chuanhou Sun, Xiaoqiang Ren, Xiangjun Dong, Ping Qiu, Xiaoming Wu, Long Zhao, Ying Guo, Yongshun Gong, Chengqi Zhang
2024 — conf
Multi-scale Convolutional Attention Fuzzy Broad Network for Few-Shot Hyperspectral Image Classification.
ICANN (2)
Xiaopei Hu, Guixin Zhao, Lu Yuan, Xiangjun Dong, Aimei Dong
2024 B conf
Rapid Maize Seedling Detection Based on Receptive-Field and Cross-Dimensional Information Interaction.
SMC
Fengqi Hao, Shulei Zhu, Dexin Ma, Xiangjun Dong, Hoiio Kong, Xia Liu, Chunhua Mu
2024 J jnl
SN-RNSP: Mining self-adaptive nonoverlapping repetitive negative sequential patterns in transaction sequences.
Knowl. Based Syst.
Chuanhou Sun, Yongshun Gong, Ying Guo, Long Zhao, Hongjiao Guan, Xinwang Liu, Xiangjun Dong
2024 J jnl
Spatial-Spectral-Semantic Cross-Domain Few-Shot Learning for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Mengxin Cao, Xu Zhang, Jinyong Cheng, Guixin Zhao, Wei Li, Xiangjun Dong
2024 J jnl
Spatial-temporal regularized tensor decomposition method for traffic speed data imputation.
Int. J. Data Sci. Anal.
Haojie Xie, Yongshun Gong, Xiangjun Dong
2024 J jnl
Spectral-Spatial-Language Fusion Network for Hyperspectral, LiDAR, and Text Data Classification.
IEEE Trans. Geosci. Remote. Sens.
Mengxin Cao, Guixin Zhao, Guohua Lv, Aimei Dong, Ying Guo, Xiangjun Dong
2024 — conf
VEBiLSTM: A Neural Network for Field-Road Classification Using Enhanced Spatiotemporal Features.
ICONIP (6)
Fengqi Hao, Xiyuan Zhao, Cunxiang Bian, Hoiio Kong, Xiangjun Dong, Jinqiang Bai
2024 J jnl
scCAN: Clustering With Adaptive Neighbor-Based Imputation Method for Single-Cell RNA-Seq Data.
IEEE ACM Trans. Comput. Biol. Bioinform.
Shujie Dong, Yuansheng Liu, Yongshun Gong, Xiangjun Dong, Xiangxiang Zeng
2023 J jnl
An Effective Method for Mining Negative Sequential Patterns From Data Streams.
IEEE Access
Nannan Zhang, Xiaoqiang Ren, Xiangjun Dong
2023 J jnl
An Efficient Method for Modeling Nonoccurring Behaviors by Negative Sequential Patterns With Loose Constraints.
IEEE Trans. Neural Networks Learn. Syst.
Ping Qiu, Yongshun Gong, Yuhai Zhao, Longbing Cao, Chengqi Zhang, Xiangjun Dong
2023 J jnl
Dual attentive graph convolutional networks for cross-domain recommendation.
J. Intell. Fuzzy Syst.
Yu Zhang, Fan Liu, Yupeng Hu, Xiaoli Li, Xiangjun Dong, Zhiyong Cheng
2023 J jnl
Dual objective bounded abstaining model to control performance for safety-critical applications.
Eng. Appl. Artif. Intell.
Hongjiao Guan, Xiangjun Dong, Chuan Chen, Long Zhao, Xiaoqiang Ren
2023 J jnl
Extended natural neighborhood for SMOTE and its variants in imbalanced classification.
Eng. Appl. Artif. Intell.
Hongjiao Guan, Long Zhao, Xiangjun Dong, Chuan Chen
2023 B conf
Few-Shot Hyperspectral Image Classification Based on Cross-Domain Spectral Semantic Relation Transformer.
ICIP
Mengxin Cao, Guixin Zhao, Aimei Dong, Guohua Lv, Ying Guo, Xiangjun Dong
2023 B conf
Few-Shot Hyperspectral Image Classification with Spectral-Spatial Feature Fusion Based on Fuzzy Broad Learning System.
ICIP
Xiaopei Hu, Guixin Zhao, Aimei Dong, Guohua Lv, Yi Zhai, Ying Guo, Xiangjun Dong
2023 — conf
Ga-RFR: Recurrent Feature Reasoning with Gated Convolution for Chinese Inscriptions Image Inpainting.
ICANN (2)
Long Zhao, Yuhao Lou, Zonglong Yuan, Xiangjun Dong, Xiaoqiang Ren, Hongjiao Guan
2023 J jnl
Improved ReliefF-based feature selection algorithm for cancer histology.
Biomed. Signal Process. Control.
Jiao Liu, Long Zhao, Chengkun Si, Hongjiao Guan, Xiangjun Dong
2023 A conf
Mask- and Contrast-Enhanced Spatio-Temporal Learning for Urban Flow Prediction.
CIKM
Xu Zhang, Yongshun Gong, Xinxin Zhang, Xiaoming Wu, Chengqi Zhang, Xiangjun Dong
2023 J jnl
Mining Interesting Negative Sequential Patterns Based on Influence.
IEEE Access
Fengling Cui, Xiaoqiang Ren, Xiangjun Dong
2023 J jnl
Spatio-temporal fusion and contrastive learning for urban flow prediction.
Knowl. Based Syst.
Xu Zhang, Yongshun Gong, Chengqi Zhang, Xiaoming Wu, Ying Guo, Wenpeng Lu, Long Zhao, Xiangjun Dong
2023 J jnl
Toward Better Structure and Constraint to Mine Negative Sequential Patterns.
IEEE Trans. Neural Networks Learn. Syst.
Xinming Gao, Yongshun Gong, Tiantian Xu, Jinhu Lü, Yuhai Zhao, Xiangjun Dong
2022 J jnl
A Novel Knowledge Distillation Method for Self-Supervised Hyperspectral Image Classification.
Remote. Sens.
Qiang Chi, Guohua Lv, Guixin Zhao, Xiangjun Dong
2022 J jnl
A random grouping-based self-regulating artificial bee colony algorithm for interactive feature detection.
Knowl. Based Syst.
Boxin Guan, Tiantian Xu, Yuhai Zhao, Yuan Li, Xiangjun Dong
2022 J jnl
AENAR: An aspect-aware explainable neural attentional recommender model for rating predication.
Expert Syst. Appl.
Tianwei Zhang, Chuanhou Sun, Zhiyong Cheng, Xiangjun Dong
2022 J jnl
Classifying the multi-omics data of gastric cancer using a deep feature selection method.
Expert Syst. Appl.
Yanyu Hu, Long Zhao, Zhao Li, Xiangjun Dong, Tiantian Xu, Yuhai Zhao
2022 — conf
Face Age Predictions by combining Local and Global Facial Features.
BIBM
Kaiyan Chen, Xiangjun Dong, Weiyang Chen
2022 — conf
Mining Negative Sequential Rules from Negative Sequential Patterns.
DASFAA (1)
Chuanhou Sun, Xiaoqi Jiang, Xiangjun Dong, Tiantian Xu, Long Zhao, Zhao Li, Yuhai Zhao
2021 J jnl
Multi-objective evolutionary clustering for large-scale dynamic community detection.
Inf. Sci.
Ying Yin, Yuhai Zhao, He Li, Xiangjun Dong
2020 A* conf
A Spatial Missing Value Imputation Method for Multi-view Urban Statistical Data.
IJCAI
Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Bei Chen, Xiangjun Dong
2020 J jnl
An efficient method for pruning redundant negative and positive association rules.
Neurocomputing
Xiangjun Dong, Feng Hao, Long Zhao, Tiantian Xu
2020 J jnl
Effective and Efficient Dense Subgraph Query in Large-Scale Social Internet of Things.
IEEE Trans. Ind. Informatics
Yuhai Zhao, Xiangjun Dong, Ying Yin
2020 J jnl
Genetic Similarity Analysis Based on Positive and Negative Sequence Patterns of DNA.
Symmetry
Yue Lu, Long Zhao, Zhao Li, Xiangjun Dong
2020 J jnl
Research on an expression classification method based on a probability graph model.
Multim. Tools Appl.
Jinguang Sun, Tao Li, Hua Yan, Xiangjun Dong
2020 J jnl
e-HUNSR: An Efficient Algorithm for Mining High Utility Negative Sequential Rules.
Symmetry
Mengjiao Zhang, Tiantian Xu, Zhao Li, Xiqing Han, Xiangjun Dong
2020 J jnl
e-RNSP: An Efficient Method for Mining Repetition Negative Sequential Patterns.
IEEE Trans. Cybern.
Xiangjun Dong, Yongshun Gong, Longbing Cao
2019 J jnl
Campus Data Analysis Based on Positive and Negative Sequential Patterns.
Int. J. Pattern Recognit. Artif. Intell.
Xiaoqi Jiang, Tiantian Xu, Xiangjun Dong
2019 J jnl
Exploring the Utilization of Gradient Information in SIFT Based Local Image Descriptors.
Symmetry
Guangyao Dong, Han Yan, Guohua Lv, Xiangjun Dong
2019 J jnl
Mining Top- ${k}$ Useful Negative Sequential Patterns via Learning.
IEEE Trans. Neural Networks Learn. Syst.
Xiangjun Dong, Ping Qiu, Jinhu Lü, Longbing Cao, Tiantian Xu
2019 Misc conf
Transform Domain Based Medical Image Super-resolution via Deep Multi-scale Network.
ICASSP
Chunpeng Wang, Simiao Wang, Bin Ma, Jian Li, Xiangjun Dong, Zhiqiu Xia
2018 J jnl
An Industrial Internet of Things Feature Selection Method Based on Potential Entropy Evaluation Criteria.
IEEE Access
Long Zhao, Xiangjun Dong
2018 — conf
Application of Negative and Positive Association Rules in Mental Health Analysis of College Students.
ICNC-FSKD
Feng Hao, Long Zhao, Tiantian Xu, Xiangjun Dong
2018 — conf
Automatic Classification of Chinese Herbal Based on Deep Learning Method.
ICNC-FSKD
Shupeng Liu, Weiyang Chen, Xiangjun Dong
2018 J jnl
Efficient High Utility Negative Sequential Patterns Mining in Smart Campus.
IEEE Access
Tiantian Xu, Tongxuan Li, Xiangjun Dong
2018 J jnl
Erratum: "Mining High Utility Sequential Patterns with Negative Item Values".
Int. J. Pattern Recognit. Artif. Intell.
Tiantian Xu, Xiangjun Dong, Jianliang Xu, Xue Dong
2018 J jnl
F-NSP+: A fast negative sequential patterns mining method with self-adaptive data storage.
Pattern Recognit.
Xiangjun Dong, Yongshun Gong, Longbing Cao
2018 J jnl
Mining High Utility Sequential Patterns Using Multiple Minimum Utility.
Int. J. Pattern Recognit. Artif. Intell.
Tiantian Xu, Jianliang Xu, Xiangjun Dong
2018 J jnl
Rapid and Efficient Bug Assignment Using ELM for IOT Software.
IEEE Access
Ying Yin, Xiangjun Dong, Tiantian Xu
2017 — conf
Analysis of medical and healthcare data based on positive and negative association rules.
ICNC-FSKD
Chenlu Li, Feng Hao, Long Zhao, Lizhe Song, Xiangjun Dong
2017 J jnl
E-msNSP: Efficient Negative Sequential Patterns Mining Based on Multiple Minimum Supports.
Int. J. Pattern Recognit. Artif. Intell.
Tiantian Xu, Xiangjun Dong, Jianliang Xu, Yongshun Gong
2017 J jnl
Effective algorithm for determining the number of clusters and its application in image segmentation.
Clust. Comput.
Jialun Pei, Long Zhao, Xiangjun Dong, Xue Dong
2017 — conf
HUNSPM: An efficient algorithm for mining high utility negative sequential patterns.
ICNC-FSKD
Tongxuan Li, Tiantian Xu, Xiangjun Dong
2017 J jnl
K- local maximum margin feature extraction algorithm for churn prediction in telecom.
Clust. Comput.
Long Zhao, Qian Gao, Xiangjun Dong, Aimei Dong, Xue Dong
2017 J jnl
Mining High Utility Sequential Patterns with Negative Item Values.
Int. J. Pattern Recognit. Artif. Intell.
Tiantian Xu, Xiangjun Dong, Jianliang Xu, Xue Dong
2017 C conf
NegI-NSP: Negative sequential pattern mining based on loose constraints.
IECON
Ping Qiu, Long Zhao, Xiangjun Dong
2017 J jnl
The combined cloud model for edge detection.
Multim. Tools Appl.
Long Zhao, Xue Dong, Weiyang Chen, Linfeng Jiang, Xiangjun Dong
2017 J jnl
e-NSPFI: Efficient Mining Negative Sequential Pattern from Both Frequent and Infrequent Positive Sequential Patterns.
Int. J. Pattern Recognit. Artif. Intell.
Yongshun Gong, Tiantian Xu, Xiangjun Dong, Guohua Lv
2016 J jnl
A Context-Aware Mobile User Behavior-Based Neighbor Finding Approach for Preference Profile Construction.
Sensors
Qian Gao, Deqian Fu, Xiangjun Dong
2016 — conf
A Context-awareness Based Dynamic Personalized Hierarchical Ontology Modeling Approach.
FNC/MobiSPC
Qian Gao, Xiangjun Dong
2016 J jnl
Correction: Gao, Q. et al. A Context-Aware Mobile User Behavior-Based Neighbor Finding Approach for Preference Profile Construction.
Sensors
Qian Gao, Deqian Fu, Xiangjun Dong
2016 J jnl
Supervised feature selection method via potential value estimation.
Clust. Comput.
Long Zhao, Linfeng Jiang, Xiangjun Dong
2016 J jnl
e-NSP: Efficient negative sequential pattern mining.
Artif. Intell.
Longbing Cao, Xiangjun Dong, Zhigang Zheng
2015 — conf
A Context-Aware Mobile User Behavior Based Preference Neighbor Finding Approach for Personalized Information Retrieval.
FNC/MobiSPC
Qian Gao, Xiangjun Dong, Deqian Fu
2015 J jnl
Coupled Attribute Similarity Learning on Categorical Data.
IEEE Trans. Neural Networks Learn. Syst.
Can Wang, Xiangjun Dong, Fei Zhou, Longbing Cao, Chi-Hung Chi
2015 J jnl
Mining interesting infrequent and frequent itemsets based on multiple level minimum supports and minimum correlation strength.
Int. J. Serv. Technol. Manag.
Xiangjun Dong, Chuanlu Liu
2015 — conf
SAPNSP: Select actionable positive and negative sequential patterns based on a contribution metric.
FSKD
Chuanlu Liu, Xiangjun Dong, Caoyuan Li, Yan Li
2015 J jnl
Select actionable positive or negative sequential patterns.
J. Intell. Fuzzy Syst.
Xiangjun Dong, Chuanlu Liu, Tiantian Xu, Dakui Wang
2013 Misc conf
Mining frequent patterns with multiple minimum supports using basic Apriori.
ICNC
Tiantian Xu, Xiangjun Dong
2011 A conf
e-NSP: efficient negative sequential pattern mining based on identified positive patterns without database rescanning.
CIKM
Xiangjun Dong, Zhigang Zheng, Longbing Cao, Yanchang Zhao, Chengqi Zhang, Jinjiu Li, Wei Wei, Yuming Ou
2008 — conf
Mining Negative Association Rules in Multi-database.
FSKD (2)
Shiju Shang, Xiangjun Dong, Runian Geng, Long Zhao