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ORCIDXiangjun Dong 0001
Person information
- affiliation: Qilu University of Technology, School of Computer Science and Technology, Jinan, China
- affiliation: Shandong Academy of Science, Jinan, China
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- Xiangjun Dong — disambiguation page
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2020 – today
- 2024
[j48]Haojie Xie, Yongshun Gong, Xiangjun Dong:
Spatial-temporal regularized tensor decomposition method for traffic speed data imputation. Int. J. Data Sci. Anal. 17(2): 203-223 (2024)- [j47]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: 111449 (2024) - [j46]Chuanhou Sun, Xiaoqiang Ren, Xiangjun Dong, Ping Qiu, Xiaoming Wu, Long Zhao, Ying Guo, Yongshun Gong, Chengqi Zhang:
Mining actionable repetitive positive and negative sequential patterns. Knowl. Based Syst. 302: 112398 (2024) - [j45]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): 95-105 (2024) - [j44]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: 1-15 (2024) - [j43]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: 1-15 (2024) - [j42]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): 226-238 (2024) - [c21]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: 10645-10653 - [c20]Xiaopei Hu, Guixin Zhao, Lu Yuan, Xiangjun Dong, Aimei Dong:
Multi-scale Convolutional Attention Fuzzy Broad Network for Few-Shot Hyperspectral Image Classification. ICANN (2) 2024: 46-60 - 2023
- [j41]Fengling Cui, Xiaoqiang Ren, Xiangjun Dong:
Mining Interesting Negative Sequential Patterns Based on Influence. IEEE Access 11: 12925-12936 (2023) - [j40]Nannan Zhang, Xiaoqiang Ren, Xiangjun Dong:
An Effective Method for Mining Negative Sequential Patterns From Data Streams. IEEE Access 11: 31842-31854 (2023) - [j39]Jiao Liu, Long Zhao, Chengkun Si, Hongjiao Guan, Xiangjun Dong:
Improved ReliefF-based feature selection algorithm for cancer histology. Biomed. Signal Process. Control. 85: 104980 (2023) - [j38]Hongjiao Guan, Long Zhao, Xiangjun Dong, Chuan Chen:
Extended natural neighborhood for SMOTE and its variants in imbalanced classification. Eng. Appl. Artif. Intell. 124: 106570 (2023) - [j37]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: 106762 (2023) - [j36]Yu Zhang, Fan Liu, Yupeng Hu, Xiaoli Li, Xiangjun Dong, Zhiyong Cheng:
Dual attentive graph convolutional networks for cross-domain recommendation. J. Intell. Fuzzy Syst. 44(5): 7367-7378 (2023) - [j35]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: 111104 (2023) - [j34]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): 571-585 (2023) - [j33]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): 1864-1878 (2023) - [c19]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: 3298-3307 - [c18]Long Zhao, Yuhao Lou, Zonglong Yuan, Xiangjun Dong, Xiaoqiang Ren, Hongjiao Guan:
Ga-RFR: Recurrent Feature Reasoning with Gated Convolution for Chinese Inscriptions Image Inpainting. ICANN (2) 2023: 320-331 - [c17]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: 1375-1379 - [c16]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: 3160-3164 - 2022
- [j32]Tianwei Zhang, Chuanhou Sun, Zhiyong Cheng, Xiangjun Dong:
AENAR: An aspect-aware explainable neural attentional recommender model for rating predication. Expert Syst. Appl. 198: 116717 (2022) - [j31]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: 116813 (2022) - [j30]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: 108434 (2022) - [j29]Qiang Chi, Guohua Lv, Guixin Zhao, Xiangjun Dong:
A Novel Knowledge Distillation Method for Self-Supervised Hyperspectral Image Classification. Remote. Sens. 14(18): 4523 (2022) - [c15]Kaiyan Chen, Xiangjun Dong, Weiyang Chen:
Face Age Predictions by combining Local and Global Facial Features. BIBM 2022: 2773-2778 - [c14]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: 459-475 - 2021
- [j28]Ying Yin, Yuhai Zhao, He Li, Xiangjun Dong:
Multi-objective evolutionary clustering for large-scale dynamic community detection. Inf. Sci. 549: 269-287 (2021) - 2020
- [j27]Xiangjun Dong, Feng Hao, Long Zhao, Tiantian Xu:
An efficient method for pruning redundant negative and positive association rules. Neurocomputing 393: 245-258 (2020) - [j26]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): 34029-34043 (2020) - [j25]Mengjiao Zhang, Tiantian Xu, Zhao Li, Xiqing Han, Xiangjun Dong:
e-HUNSR: An Efficient Algorithm for Mining High Utility Negative Sequential Rules. Symmetry 12(8): 1211 (2020) - [j24]Yue Lu, Long Zhao, Zhao Li, Xiangjun Dong:
Genetic Similarity Analysis Based on Positive and Negative Sequence Patterns of DNA. Symmetry 12(12): 2090 (2020) - [j23]Xiangjun Dong, Yongshun Gong, Longbing Cao:
e-RNSP: An Efficient Method for Mining Repetition Negative Sequential Patterns. IEEE Trans. Cybern. 50(5): 2084-2096 (2020) - [j22]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): 2726-2736 (2020) - [c13]Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Bei Chen, Xiangjun Dong:
A Spatial Missing Value Imputation Method for Multi-view Urban Statistical Data. IJCAI 2020: 1310-1316
2010 – 2019
- 2019
- [j21]Xiaoqi Jiang, Tiantian Xu, Xiangjun Dong:
Campus Data Analysis Based on Positive and Negative Sequential Patterns. Int. J. Pattern Recognit. Artif. Intell. 33(5): 1959016:1-1959016:16 (2019) - [j20]Guangyao Dong, Han Yan, Guohua Lv, Xiangjun Dong:
Exploring the Utilization of Gradient Information in SIFT Based Local Image Descriptors. Symmetry 11(8): 998 (2019) - [j19]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): 2764-2778 (2019) - [c12]Chunpeng Wang, Simiao Wang, Bin Ma, Jian Li, Xiangjun Dong, Zhiqiu Xia:
Transform Domain Based Medical Image Super-resolution via Deep Multi-scale Network. ICASSP 2019: 2387-2391 - 2018
- [j18]Long Zhao, Xiangjun Dong:
An Industrial Internet of Things Feature Selection Method Based on Potential Entropy Evaluation Criteria. IEEE Access 6: 4608-4617 (2018) - [j17]Tiantian Xu, Tongxuan Li, Xiangjun Dong:
Efficient High Utility Negative Sequential Patterns Mining in Smart Campus. IEEE Access 6: 23839-23847 (2018) - [j16]Ying Yin, Xiangjun Dong, Tiantian Xu:
Rapid and Efficient Bug Assignment Using ELM for IOT Software. IEEE Access 6: 52713-52724 (2018) - [j15]Tiantian Xu, Xiangjun Dong, Jianliang Xu, Xue Dong:
Erratum: "Mining High Utility Sequential Patterns with Negative Item Values". Int. J. Pattern Recognit. Artif. Intell. 32(6): 1892001:1-1892001:1 (2018) - [j14]Tiantian Xu, Jianliang Xu, Xiangjun Dong:
Mining High Utility Sequential Patterns Using Multiple Minimum Utility. Int. J. Pattern Recognit. Artif. Intell. 32(10): 1859017:1-1859017:18 (2018) - [j13]Xiangjun Dong, Yongshun Gong, Longbing Cao:
F-NSP+: A fast negative sequential patterns mining method with self-adaptive data storage. Pattern Recognit. 84: 13-27 (2018) - [c11]Shupeng Liu, WeiYang Chen, Xiangjun Dong:
Automatic Classification of Chinese Herbal Based on Deep Learning Method. ICNC-FSKD 2018: 235-238 - [c10]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: 717-723 - 2017
- [j12]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): 1401-1409 (2017) - [j11]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): 2845-2854 (2017) - [j10]Yongshun Gong, Tiantian Xu, Xiangjun Dong, Guohua Lv:
e-NSPFI: Efficient Mining Negative Sequential Pattern from Both Frequent and Infrequent Positive Sequential Patterns. Int. J. Pattern Recognit. Artif. Intell. 31(2): 1750002:1-1750002:20 (2017) - [j9]Tiantian Xu, Xiangjun Dong, Jianliang Xu, Yongshun Gong:
E-msNSP: Efficient Negative Sequential Patterns Mining Based on Multiple Minimum Supports. Int. J. Pattern Recognit. Artif. Intell. 31(2): 1750003:1-1750003:17 (2017) - [j8]Tiantian Xu, Xiangjun Dong, Jianliang Xu, Xue Dong:
Mining High Utility Sequential Patterns with Negative Item Values. Int. J. Pattern Recognit. Artif. Intell. 31(10): 1750035:1-1750035:17 (2017) - [j7]Long Zhao, Xue Dong, WeiYang Chen, LinFeng Jiang, Xiangjun Dong:
The combined cloud model for edge detection. Multim. Tools Appl. 76(13): 15007-15026 (2017) - [c9]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: 1559-1564 - [c8]Tongxuan Li, Tiantian Xu, Xiangjun Dong:
HUNSPM: An efficient algorithm for mining high utility negative sequential patterns. ICNC-FSKD 2017: 1833-1837 - [c7]Ping Qiu, Long Zhao, Xiangjun Dong:
NegI-NSP: Negative sequential pattern mining based on loose constraints. IECON 2017: 3419-3425 - 2016
- [j6]Longbing Cao, Xiangjun Dong, Zhigang Zheng:
e-NSP: Efficient negative sequential pattern mining. Artif. Intell. 235: 156-182 (2016) - [j5]Long Zhao, LinFeng Jiang, Xiangjun Dong:
Supervised feature selection method via potential value estimation. Clust. Comput. 19(4): 2039-2049 (2016) - [j4]Qian Gao, Deqian Fu, Xiangjun Dong:
A Context-Aware Mobile User Behavior-Based Neighbor Finding Approach for Preference Profile Construction. Sensors 16(2): 143 (2016) - [j3]Qian Gao, Deqian Fu, Xiangjun Dong:
Correction: Gao, Q. et al. A Context-Aware Mobile User Behavior-Based Neighbor Finding Approach for Preference Profile Construction. Sensors 2016, 2, 143. Sensors 16(8): 1230 (2016) - [c6]Qian Gao, Xiangjun Dong:
A Context-awareness Based Dynamic Personalized Hierarchical Ontology Modeling Approach. FNC/MobiSPC 2016: 380-385 - 2015
- [j2]Xiangjun Dong, Chuanlu Liu, Tiantian Xu, Dakui Wang:
Select actionable positive or negative sequential patterns. J. Intell. Fuzzy Syst. 29(6): 2759-2767 (2015) - [j1]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): 781-797 (2015) - [c5]Qian Gao, Xiangjun Dong, Deqian Fu:
A Context-Aware Mobile User Behavior Based Preference Neighbor Finding Approach for Personalized Information Retrieval. FNC/MobiSPC 2015: 471-476 - [c4]Chuanlu Liu, Xiangjun Dong, Caoyuan Li, Yan Li:
SAPNSP: Select actionable positive and negative sequential patterns based on a contribution metric. FSKD 2015: 811-815 - 2013
- [c3]Tiantian Xu, Xiangjun Dong:
Mining frequent patterns with multiple minimum supports using basic Apriori. ICNC 2013: 957-961 - 2011
- [c2]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: 825-830
2000 – 2009
- 2008
- [c1]Shiju Shang, Xiangjun Dong, Runian Geng, Long Zhao:
Mining Negative Association Rules in Multi-database. FSKD (2) 2008: 596-599
Coauthor Index
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