个人信息

姓　　名: 陈可佳 性　　別: 女 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。主持国家自然科学基金2项、省部级项目2项，以及与企事业单位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ICML，IJCAI，AAAI，ECML，TOIS，TKDD，TIST，TNSE，软件学报，计算机研究与发展等），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、AAAI等的PC以及国内外学术期刊的审稿人。











研究领域:

主要研究方向为图机器学习、图数据挖掘、复杂网络分析等。 

近5年发表论文如下：

n  Ke-Jia Chen, Yuzhe Hu, Yu, Ni, Linfeng Liu*, AdaGeM: Adaptive Geometric Learning on Manifolds for Hyper-Relational Knowledge Graphs, 35th International Joint Conference on Artificial Intelligence (IJCAI), 2026.

n  Ke‑Jia Chen, Yusheng Chen, Ziyue Wang, Linfeng Liu. GMN‑Zoomer: Learning Graph Similarity via Hierarchical Parsing, Pooling and Matching. Neural Networks, 2026, 200: 108778.

n  Wenjun Wang, Jiacheng Lu, Ke‑Jia Chen, Zheng Liu, Shilong Sang. SEGMN: A Structure‑enhanced Graph Matching Network for Graph Similarity Learning. Pattern Recognition, 2026, 172: 112530.

n  Yin‑Peng Jiang, Ke‑Jia Chen, Yu‑Sheng Chen. PathSim: Graph Similarity Learning via Centrality‑Driven Path Matching. IEEE Transactions on Computational Social Systems, 2026, 13(4): 4959‑4972.

n  Yunyun Wang, Zheng Duan, Xinyue Liao, Ke‑Jia Chen, Songcan Chen. The Finer the Better: Towards Granular‑aware Open‑set Domain Generalization. AAAI, 2026: 26732‑26740.

n  Ke‑Jia Chen, Wenhui Mu, Zulong Liu, Zheng Liu. SAug: Structural Imbalance Aware Augmentation for Graph Neural Networks. ACM Transactions on Intelligent Systems and Technology, 2025, 16(2): 43:1‑43:22.

n  Taoyang Qin, Ke‑Jia Chen, Zheng Liu. Localized Heat Kernel for Graph Neural Networks. ECML/PKDD, 2025: 457‑473.

n  Taoyang Qin, Ke‑Jia Chen, Zheng Liu. Enhancing Spectral GNNs: From Topology and Perturbation Perspectives. ICML, 2025.

n  Linfeng Liu, Sitan Chen, Ke‑Jia Chen, Jiajun Xu, Xiacan Chen. Catching the Blackdog Easily: A Convenient Depression Diagnosis Method Based on Audio‑Visual Deep Learning. IEEE Transactions on Affective Computing, 2025, 16(4): 3095‑3109.

n  Ke-Jia Chen, Wenhui Mu, Zulong Liu, Zheng Liu. SAug: Structural Imbalance Aware Augmentation for Graph Neural Networks. ACM Transactions on Intelligent Systems and Technology, 2025, 16(2): 43:1‑43:22.

n  Ke-Jia Chen, Yaming Ji, Wenhui Mu, Youran Qu. Balancing Augmentation with Edge Utility Filter for Signed Graph Neural Networks. IEEE Transactions on Network Science and Engineering, 2024, 11(1): 5903-5915.

n  Ke-Jia Chen, Linsong Liu, Linpu Jiang, Jingqiang Chen. Self-Supervised Dynamic Graph Representation Learning via Temporal Subgraph Contrast. ACM Transactions on Knowledge Discovery from Data, 2024, 18(1): 1-20.

n  Ke-Jia Chen, Yinchu Qiu, Zheng Liu, Wenhui Mu. Layer Imbalance-aware Multiplex Network Embedding. Knowledge and Information Systems, 2024, 6: 66.

n  Ke-Jia Chen, Mingyu Wu, Yibo Zhang, Zhiwei Chen. SR-AFU: Super-resolution Network Using Adaptive Frequency Component Upsampling and Multi-resolution Features. Frontiers of Computer Science, 2023, 17(1): 171307.

n  Ke-Jia Chen, Jie Zhang, Jingqiang Chen. GIMIRec: Global Interaction-aware Multi-Interest framework for sequential Recommendation. Neural Computing and Applications, 2023, 35(2): 1695-1709.

n  Linsong Liu, Ke-Jia Chen, Zheng Liu. Collaborative Bi-aggregation for Directed Graph Embedding. Neural Networks, 2023, 164: 707-718.

n  Ke-Jia Chen*, Hao Lu, Jiajun Zhang. Heterogeneous Graph Convolutional Network with Local Influence. Knowledge-Based System, 2022, 236: 107699.