个人信息

姓  名: 陈可佳 性  別: 导师类型: 硕士生导师
技术职称: 副教授 电子邮箱: chenkj@njupt.edu.cn
学术型硕士招生学科: (081200)计算机科学与技术
专业型硕士招生类别(领域): (085404)计算机技术
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个人简介:

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,国家公派至法国索邦大学UTC分校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余人,发表论文40余篇(包括TOIS,KBS,ICDM,ASONAM,ECML,DASFAA等国际知名期刊和会议),其中SCI检索10余篇,授权专利6项,编写教材2部。长期担任国际学术会议IJCAI的PC以及国内外学术期刊《Neural Networks》、《Knowledge-Based Systems》、《自动化学报》等的审稿人。



研究领域:

主要研究方向为机器学习、数据挖掘、复杂网络、AI与艺术等。 

部分学术成果如下:

K.-J. Chen, M. Wu, Y. Zhang, Z. Chen. SR-AFU: super-resolution network using adaptive frequency component upsampling and multi-resolution features, Frontiers of Computer Science, 2023, 17(1): 171307.

陈可佳; 费子阳; 陈景强; 杨子农 ; 文本风格迁移研究综述, 软件学报, 2022, 12: 4668- 4687. 

K.-J. Chen, H. Lu, Z. Liu, J. Zhang. Heterogeneous graph convolutional network with local influence, Knowledge-Based System, 2022, 236: 07699.

K.-J. Chen, J. Zhang, J. Chen. GIMIRec: Global Interaction-aware Multi-Interest framework for sequential Recommendation, Neural Computing and Applications, 2022, 35(1): 1695-1709. 

乔凯, 陈可佳, 陈景强. 基于知识图谱与关键词注意机制的中文医疗问答匹配方法, 模式识别与人工智能, 2021, 34(8): 733-741.

陈可佳; 鲁浩; 张嘉俊 ; 条件变分时序图自编码器, 计算机研究与发展, 2020, 57(8): 1663-1673. 

, P. Zhang, Z. Yang, Y. Li. iBridge: Inferring bridge links that diffuse information across communities. Knowledge-Based System, 2020, 192: 105249.

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.

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.

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

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

 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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.



科研项目:

代表性学术成果:

指导的优秀研究生代表: