计算机学院   软件学院

网络空间安全学院

School of Computer Science

个人信息教育信息获得荣誉项目论文其他

陈可佳,女,副教授,硕士生导师。曾于南京大学计算机科学与技术系获学士、硕士学位,国家公派至法国贡比涅技术大学Heudiasyc实验室(UMR-CNRS 7253)并获博士学位,目前就职于南京邮电大学计算机学院以及江苏省大数据安全与智能处理重点实验室。主持了包括国家自然科学基金在内的多项纵向课题,以及与企事业单位(如梅兰芳纪念馆等)合作的多项横向课题。目前,已培养研究生10人,发表论文40余篇(包括TOIS,ICDM,ASONAM,ECML,DASFAA,PAKDD,ICTAI,ICONIP等国际知名期刊和会议),其中SCI检索8篇,发明专利6项,主编教材1部。


研究方向:机器学习、数据挖掘、复杂网络、AI与艺术等



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1. K.-J. Chen, H. Lu, Y. Li, B. Liu. On relationship formation in heterogeneous information networks: An inferring method based on multilabel learning. Statistical Analysis and Data Mining, 2019, 12(3): 157-167.

2. Y. Wang, D. Zhao, Y. Li, K.-J. Chen, H. Xue. The Most Related Knowledge First: A Progressive Domain Adaptation Method. PAKDD (Workshops), 2019, 90-102.

3. P. Zhang, K.-J. Chen, T. Wu. Inferring Social Bridges that Diffuse Information Across Communities. PAKDD, 2019, 2: 475-487.

4. Y. Wang, J. Zhai, Y. Li, K.-J. Chen, H. Xue. Transfer learning with partial related "instance-feature" knowledge. Neurocomputing, 2018, 310: 115-124.

5. K.-J. Chen, K. Zhang, X.-L. Jiang. Transfer learning with active queries for relational data modeling across multiple information networks. In: Proceedings of the 25th International Conference on Neural Information Processing (ICONIP), 2018.

6. Y. Wang, J. Zhai, Y. Li, K.-J. Chen, H. Xue. Transfer learning with partial related "instance-feature" knowledge. Neurocomputing, 2018, 310: 115-124.

7. K.-J. Chen, S. Xue, Y. Li, B. Liu. On link formation in heterogeneous information networks: a view based on multi-label learning. In: Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2017, 50-53.

8. G.-J. Peng, K.-J. Chen, S. Xue, B. Liu. A relation prediction method based on PU learning. In: Proceedings of the 12th International Conference on Intelligent Systems and Knowledge Engineering, 2017.

9. Y. Wang, J. Zhou, K.-J. Chen, Y. Wang, L. Liu. Water quality prediction method based on LSTM neural network. In: Proceedings of the 12th International Conference on Intelligent Systems and Knowledge Engineering, 2017.

10. B. Liu, K.-J. Chen. Maximum likelihood estimation based on random subspace EDA: application to extrasolar planet detection. In: Proceedings of the 11th International Conference on Simulated Evolution and Learning, 2017, 3-14.

11. H. Xu, B. Liu, K.-J. Chen. iTrace: an implicit trust inference method for trust-aware collaborative filtering. CoRR abs/1708.03658, 2017: 040102.

12. K.-J. Chen, Y. Chen, Y. Li, J. Han. A supervised link prediction method for dynamic networks. Journal of Intelligent and Fuzzy Systems, 2016, 31(1): 291-299.

13. J. Han, K.-J. Chen, J. Wang. Web article quality ranking based on web community knowledge. Computing, 2015, 97(5): 509-537.

14. W. Ji, Y. Li, K.-J. Chen, G. Zhou. Local energy-based framework for feature ranking. Journal of Intelligent and Fuzzy Systems, 2015, 28(4): 1565-1575.

15. Y. Chen, K.-J. Chen, Y. Li. A link prediction method that can learn from network dynamics. In: Proceedings of the 4th IEEE ICDM Workshop on Data Mining in Networks (ICDMW), 2014, 549-553.

16. K.-J. Chen, Q. Zhu, J. Han, Z. Zheng. A time-aware link prediction approach based on semi-supervised learning. Journal of Information and Computational Science, 2014,6(2): 4593-4600.

17. J. Han, K.-J. Chen, Z. Ding, H. Cao. An efficient location reporting and indexing framework for urban road moving objects. Distributed and Parallel Databases, 2014, 32(2): 271-311.

18. J. Han, K.-J. Chen. Ranking Wikipedia article's data quality by learning dimension distributions. International Journal of Information Quality, 2014, 3(3): 207-227.

19. J. Han, K.-J. Chen, Z. Zheng, Y. Yang. Assessment of web article's completeness by capturing discussed topics. International Journal of Web Engineering and Technology, 2014, 9(3): 247-276.

20. Z. Zheng, K.-J. Chen, S. Zhang, H. Zhang. A link prediction approach using semi-supervised learning in dynamic networks. In: Proceedings the 6th International Conference on Advanced Computational Intelligence, 2013, 276-280.

21. J. Han, K.-J. Chen, D. Jiang. Probabilistically ranking web article quality based on evolution patterns. Transactions on Large-Scale Data- and Knowledge-Centered Systems, 2012, 6: 229-258.

22. J. Han, X. Chen, K.-J. Chen, D. Jiang. Assessing web article quality by harnessing collective intelligence. In: Proceedings of the 17th International Conference of Database Systems for Advanced Applications (DASFAA), 2012, 1: 428-439.

23. J. Han, X. Fu, K.-J. Chen, C. Wang. Web article quality assessment in multi-dimensional space. In: Proceedings of the 12th Web-Age Information Management, 2011: 214-225.

24. K.-J. Chen, J.-P. Barthès. A case-based memory mechanism for personal assistant agents. International Journal of Software Science and Computational Intelligence, 2010, 4(1): 45-64.

25. K.-J. Chen, J.-P. Barthès. Giving an office assistant agent a memory mechanism. In: Proceedings of the 7th IEEE International Conference on Cognitive Informatics, 2008, 402-410.

26. K.-J. Chen, J.-P. Barthès. MemoPA: intelligent personal assistant agents with a case memory mechanism. In: Proceedings of the 3th International Conference on Intelligent Computing, 2007, 1357-1367.

27. K.-J. Chen, J.-P. Barthès. Enhancing intelligence of personal assistant agent using memory mechanism. In: Proceedings of the 11th International Conference on CSCW in Design, 2007, 361-365.

28. Z.-H. Zhou, K.-J. Chen, H.-B. Dai. Enhancing relevance feedback in image retrieval using unlabeled data. ACM Transactions on Information Systems, 2006, 24(2): 219-244.

29. Z.-H. Zhou, K.-J. Chen, Y. Jiang. Exploiting unlabeled data in content-based image retrieval. In: Proceedings of the 15th European Conference on Machine Learning (ECML), 2004, 525-536.

30. Z.-H. Zhou, M.-L. Zhang, K.-J. Chen. A novel bag generator for image database retrieval with multi-instance learning techniques. In: Proceedings of the 15th IEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2003, 565-569.

31. Y. Jiang, K.-J. Chen, Z.-H. Zhou. SOM-based image segmentation. In: Proceedings of the 9th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, 2003, 640-643.

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