1. Xiangjun Dong, Zhigang Zheng, Longbing Cao, Yanchang Zhao and etc. e-NSP: Efficient Negative Sequential Pattern Mining Based on Identified Positive Patterns Without Database Rescanning. Proceedings of 19th (Association of Computing Machinery Conference on Information and Knowledge Management) ACM CIKM’11, October 24–28, 2011, Glasgow, pp.825-830
2. Xiangjun Dong, Fengrong Sun, Xiqing Han and Ruilian Hou. Study of Positive and Negative Association Rules based on Multi-confidence and Chi-squared test，ADMA06，Springer Lecture Notes in Computer Science 4093，Springer-Verlag Berlin Heidelberg 2006 (SCI)
3. Dong, Xiangjun. Mining interesting infrequent and frequent itemsets based on minimum correlation strength. 3rd International Conference on Artificial Intelligence and Computational Intelligence, AICI 2011, 2011/9/24-2011/9/25, pp 437-443, Taiyuan,, 2011 (EI).
4. Dong, Xiangjun, Ma, Liang, Han, Xiqing. E-NFIS: Efficient negative frequent itemsets mining only based on positive ones. 2011 IEEE 3rd International Conference on Communication Software and Networks, ICCSN 2011, 2011/5/27-2011/5/29, pp 517-519, Xi'an, 2011 (EI ).
5. Xiangjun Dong, Zhiyun Zheng, Zhendong Niu, Qiuting Jia. Mining Infrequent Itemsets based on Multiple Level Minimum Supports, The Second International Conference on Innovative Computing, Information and Control (ICICIC2007), September 5 - 7, 2007, Japan, (EI)
6. Xiangjun Dong, Zhendong Niu, Xuelin Shi, Xiaodan Zhang, Donghua Zhu. Mining both Positive and Negative Association Rules from Frequent and Infrequent Itemsets. IN proceedings of ADMA07, Harbin, China, 2007, LNAI 4632, Springer-Verlag Berlin Heidelberg 2007 (EI)
7. Xiangjun Dong, Gang Li, Hongguo Wang, Yuebin Guo, and Yueyue Yang. Mining Infrequent Itemsets based on Extended MMS Model. Third International Conference on Intelligent Computing, ICIC07, CCIS 2, pp. 190–198, 2007. Springer-Verlag Berlin Heidelberg 2007 (ISTP)
8. Xiangjun Dong, Zhendong Niu, Donghua Zhu, Zhiyun Zheng, and Qiuting Jia. Mining Interesting Infrequent and frequent Itemsets based on MLMS Model. ADMA2008, Chengdu, China (EI)
9. Xiangjun Dong, Shiju Shang, Jie Li, He Jiang. Application of Negative Association Rules in Multi-database 2008' International Symposium on Information Science and Engineering (ISISE'2008) ,20 - 22 December 2008 Shanghai, China
10. Xiangjun Dong, Shiju Shang, Jie Li, He Jiang. Mining Global Exceptional Rules in Multi-database, 2009 International Forum on Information Technology and Applications, IFITA 2009，15-17 May，2009，Chengdu，China
11. Shiju Shang, Xiangjun Dong, Runian Geng, Long Zhao. Mining Negative Association Rules in Multi-database. Fifth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD2008),Jinan, China,Oct.2008(EI)
12. Long Zhao, Xiangjun Dong, Shiju Shang. The present situation and development tendency of Classification Based on negative association rules. In: W. Xu, D. Liu, eds. Proc. of the 7th International Symposium on Distributed Computing and Applications for Business Engineering and Science(DCABES’08). Beijing: Publishing House of Electronics Industry,2008.(ISTP)
13. Sun, Feng-Rong, Liu, Ze; Dong, Xiang-Jun. Surface reconstruction of the coronary arterial walls from intravascular ultrasound images. Journal of Electronic Imaging, v 16, n 4, 2007, p 043016 (SCI, IF=0.7)
14. Youbo Wang, Xiangjun Dong, Zhiguang Tian. FPGA Based Design of Elliptic Curve Cryptography Coprocessor. In Proceedings of the 3rd International Conference on Natural Computation (ICNC 2007) Vol IV, Haikou, China, 2007.9, IEEE Press (EI)
15. Jianbin Chen, Xiangjun Dong, Hantao Song. The Refinement Algorithm Consideration in Text Clustering Scheme Based on Multilevel Graph. Wuhan University Journal of Natural Sciences, 2004.9 (EI)
16. Zhengyu Wu, Xiangjun Dong, Hantao Song. Ant-based Energy Aware Disjoint Multipath Routing Algorithm in MANETs. The First International Symposium on Pervasive Computing and applications (SPCA06) 2006, China IEEE Press (EI)
17. Runian Geng, Wenbo Xu, and Xiangjun Dong: Efficient mining of interesting weighted patterns from directed graph traversals [J]. Journal of Integrated Computer-Aided Engineering, 2008.15(4)（SCI）
18. GENG Ru-nian, DONG Xiang-jun, XU Wen-bo. Weighted frequent patterns mining algorithm based on global graph traversals. Computer Integrated Manufacturing Systems, vol 6,2008. p1220—1229 Language: Chinese
19. Xuelin Shi, Ying Zhao, Xiangjun Dong. Web Page Categorization Based on K-nn and Svm Hybrid Pattern Recognition Algorithm. WCCI2008 (EI)
20. Jiang, He, Luan, Xiumei, Dong, Xiangjun. Mining weighted negative association rules from infrequent itemsets based on multiple supports. 2012 International Conference on Industrial Control and Electronics Engineering, ICICEE 2012, 2012/8/23-2012/8/25, pp 89-92, Xi'an,,2012 (EI ) .
21. Runian Geng, Xiangjun Dong, Jing Zhao, and Wenbo Xu: WHFPMiner: efficient mining of weighted highly-correlated frequent patterns based on weighted FP-tree approach[C].In: Proc. of the 5th International Symposium on Neural Networks (ISNN’08). LNCS, Heidelberg: Springer Verlag, 2008 （EI ）
22. Runian Geng, Xiangjun Dong, He Jiang, and Wenbo Xu: WTSPMiner: efficiently mining weighted sequential patterns from directed graph traversals[C].In: Proc. of the 4th International Conference on Intelligent Computing (ICIC'08). LNCS, Heidelberg: Springer Verlag, 2008, Volume 5226, pp.398-405. （EI ）
23. Runian Geng, Xiangjun Dong, Ping Zhang, and Wenbo Xu: WTMaxMiner: Efficient Mining of Maximal Frequent Patterns Based on Weighted Directed Graph Traversals[C].In: Proc. of the 3rd IEEE International Conference on Cybernetics and Intelligent Systems (CIS’08). Washington: IEEE Computer Society, Sep. 2008（EI ）
24. Runian Geng, Xiangjun Dong, Guoling Liu, and Wenbo Xu: Efficiently mining maximal frequent patterns from traversals on weighted directed graph using statistical theory[C].In: Proc. of the 5th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD'08). Washington: IEEE Computer Society, Aug. 2008（EI ）