You can also find my articles in my Google Scholar.
(* indicates equal contribution. )
GraphMSE: Efficient Meta-path Selection in Semantically Aligned Feature Space for Graph Neural Networks [pdf][code]
Yi Li, Yilun Jin, Guojie Song, Zihao Zhu, Chuan Shi, Yiming Wang.
In the 35th AAAI Conference on Artificial Intelligence (AAAI), 2021
Graph Structural-topic Neural Network [pdf][code][slides][talk]
Qingqing Long*, Yilun Jin*, Guojie Song, Yi Li, Wei Lin.
In The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2020
EPNE: Evolutionary Pattern Preserving Network Embedding [pdf]
Junshan Wang*, Yilun Jin*, Guojie Song, Xiaojun Ma.
In The 24th European Conference on Artificial Intelligence (ECAI), 2020
Domain Adaptive Classification on Heterogeneous Information Networks [pdf][code]
Shuwen Yang, Guojie Song, Yilun Jin, Lun Du.
In The 29th International Joint Conference on Artificial Intelligence (IJCAI-PRICAI), 2020.
Active Domain Transfer on Network Embedding [pdf]
Lichen Jin, Yizhou Zhang, Guojie Song, Yilun Jin,
In The Web Conference (TheWebConf, a.k.a. WWW), 2020.
Hierarchical Community Structure Preserving Network Embedding: A Subspace Approach [pdf][code]
Qingqing Long, Yiming Wang, Lun Du, Guojie Song, Yilun Jin, Wei Lin.
In The 28th ACM International Conference on Information and Knowledge Management (CIKM), 2019. Best Research Paper Runner-up Award.
SecureBoost: A Lossless Federated Learning Framework [pdf]
Kewei Cheng, Tao Fan, Yilun Jin, Yang Liu, Tianjian Chen, Qiang Yang.
In The 1st International Workshop on Federated Machine Learning for User Privacy and Data Confidentiality (FML-IJCAI’19) and IEEE Intelligent Systems, 2021.
DANE: Domain Adaptive Network Embedding [pdf]
Yizhou Zhang, Guojie Song, Lun Du, Shuwen Yang, Yilun Jin.
In The 28th International Joint Conference on Artificial Intelligence (IJCAI), 2019.