Publications

Preprints

1. Single-Cell Data Integration and Cell Type Annotation through Contrastive Adversarial Open-set Domain Adaptation
   Fatemeh Aminzadeh*, Jun Wu*, Jingrui He, Morteza Saberi, Fatemeh Vafaee

Selected Conferences and Journals

1. Distributional Network of Networks for Modeling Data Heterogeneity [Paper]
   Jun Wu, Jingrui He, Hanghang Tong
   30th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD-2024)

2. BOBA: Byzantine-Robust Federated Learning with Label Skewness [Paper]
   Wenxuan Bao, Jun Wu, Jingrui He
   27th International Conference on Artificial Intelligence and Statistics (AISTATS-2024)

3. Graph-Structured Gaussian Processes for Transferable Graph Learning [Paper]
   Jun Wu, Elizabeth Ainsworth, Andrew Leakey, Haixun Wang, Jingrui He
   Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS-2023)

4. Personalized Federated Learning with Parameter Propagation [Paper]
   Jun Wu, Wenxuan Bao, Elizabeth Ainsworth, Jingrui He
   29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-2023)

5. Optimizing the Collaboration Structure in Cross-silo Federated Learning [Paper]
   Wenxuan Bao, Haohan Wang, Jun Wu, Jingrui He
   Fortieth International Conference on Machine Learning (ICML-2023)

6. Non-IID Transfer Learning on Graphs [Paper]
   Jun Wu, Jingrui He, Elizabeth Ainsworth
   Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI-2023)

7. Distribution-Informed Neural Networks for Domain Adaptation Regression [Paper]
   Jun Wu, Jingrui He, Sheng Wang, Kaiyu Guan, Elizabeth Ainsworth
   36th Conference on Neural Information Processing Systems (NeurIPS-2022)

8. Domain Adaption with Dynamic Open-Set Targets [Paper]
   Jun Wu, Jingrui He
   28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-2022)

9. A Unified Meta-Learning Framework for Dynamic Transfer Learning [Paper]
   Jun Wu, Jingrui He
   Thirty-First International Joint Conference on Artificial Intelligence (IJCAI-2022)

10. Adversarial Robustness through Bias Variance Decomposition: A New Perspective for Federated Learning [Paper]
    Yao Zhou*, Jun Wu*, Haixun Wang, Jingrui He
    31st ACM International Conference on Information and Knowledge Management (CIKM-2022)

11. Indirect Invisible Poisoning Attacks on Domain Adaptation [Paper]
    Jun Wu, Jingrui He
    27th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2021)

12. PURE: Positive-Unlabeled Recommendation with Generative Adversarial Network [Paper]
    Yao Zhou, Jianpeng Xu, Jun Wu, Zeinab Taghavi, Evren Korpeoglu, Kannan Achan, Jingrui He
    27th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2021)

13. DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification [Paper]
    Jun Wu, Jingrui He, and Jiejun Xu
    25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-2019)

(* indicates equal contribution)