近5年发表论文如下：
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 (in press).
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, Jiajun Zhang, Linpu Jiang, Yunyun Wang, Yuxuan Dai. Pre-training
on Dynamic Graph Neural Networks. Neurocomputing,
2022, 500: 679-687.
n Ke-Jia Chen*, Hao Lu, Jiajun Zhang. Heterogeneous Graph Convolutional
Network with Local Influence. Knowledge-Based System, 2022, 236: 107699.
n 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, 33(12): 4668-4687.
n 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.
n 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.
