Publications

You can also find my articles in my Google Scholar.
(^* indicates equal contribution. )

Conference Papers

2022

• Selective Cross-City Transfer Learning for Traffic Prediction via Source City Region Re-Weighting [pdf][code][slides]
  Yilun Jin, Kai Chen, Qiang Yang.
  To appear in the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2022

2021

• Theoretically Improving Graph Neural Networks via Anonymous Walk Graph Kernels [pdf][code][talk]
  Qingqing Long^*, Yilun Jin^*, Yi Wu^*, Guojie Song.
  In The Web Conference (TheWebConf, a.k.a. WWW), 2021.

• 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

2020

• GraLSP: Graph Neural Networks with Local Structural Patterns [pdf][code]
  Yilun Jin, Guojie Song, Chuan Shi.
  In The 34th AAAI Conference on Artificial Intelligence (AAAI), 2020

• 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.

2019

• 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.

• 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.

Journal Papers

• SecureBoost: A Lossless Federated Learning Framework [pdf]
  Kewei Cheng, Tao Fan, Yilun Jin, Yang Liu, Tianjian Chen, Qiang Yang.
  In IEEE Intelligent Systems, 2021.

• Deep Convolutional Neural Network based Medical Concept Normalization [pdf]
  Guojie Song, Qingqing Long, Yi Luo, Yiming Wang, Yilun Jin.
  In IEEE Transactions on Big Data, 2020.

Workshop Papers

• 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).

Book Chapters

• (In Chinese) Chapter 6: Differential Privacy (差分隐私) and Chapter 8: Federated Learning (联邦学习) [purchase link]
  In Privacy-Preserving Computing, Kai Chen and Qiang Yang, Publishing House of Electronics Industry, China, 2022.