Jun Wu

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 27

Top Topics

Transfer Learning

Domain Adaptation

Imbalanced Data

Manifold Alignment

Top Venues

Publications

Jun Wu, Jingrui He, Hanghang Tong
Distributional Network of Networks for Modeling Data Heterogeneity. KDD (2024)
Jun Wu, Jingrui He, Elizabeth A. Ainsworth
Non-IID Transfer Learning on Graphs. AAAI (2023)
Jun Wu, Jingrui He
A Unified Framework for Adversarial Attacks on Multi-Source Domain Adaptation. IEEE Trans. Knowl. Data Eng. 35 (11) (2023)
Jun Wu, Wenxuan Bao, Elizabeth A. Ainsworth, Jingrui He
Personalized Federated Learning with Parameter Propagation. KDD (2023)
Wenxuan Bao, Haohan Wang, Jun Wu, Jingrui He
Optimizing the Collaboration Structure in Cross-Silo Federated Learning. ICML (2023)
Jun Wu, Jingrui He
Trustworthy Transfer Learning: Transferability and Trustworthiness. KDD (2023)
Wenxuan Bao, Haohan Wang, Jun Wu, Jingrui He
Optimizing the Collaboration Structure in Cross-Silo Federated Learning. CoRR (2023)
Jun Wu, Hanghang Tong, Elizabeth A. Ainsworth, Jingrui He
Adaptive Knowledge Transfer on Evolving Domains. Big Data (2022)
Jun Wu, Elizabeth A. Ainsworth, Sheng Wang, Kaiyu Guan, Jingrui He
Adaptive Transfer Learning for Plant Phenotyping. CoRR (2022)
Yao Zhou, Jun Wu, Haixun Wang, Jingrui He
Adversarial Robustness through Bias Variance Decomposition: A New Perspective for Federated Learning. CIKM (2022)
Jun Wu, Jingrui He
A Unified Meta-Learning Framework for Dynamic Transfer Learning. IJCAI (2022)
Jun Wu, Jingrui He
Dynamic transfer learning with progressive meta-task scheduler. Frontiers Big Data 5 (2022)
Jun Wu, Jingrui He, Sheng Wang, Kaiyu Guan, Elizabeth A. Ainsworth
Distribution-Informed Neural Networks for Domain Adaptation Regression. NeurIPS (2022)
Jun Wu, Jingrui He
A Unified Meta-Learning Framework for Dynamic Transfer Learning. CoRR (2022)
Jun Wu, Jingrui He
Domain Adaptation with Dynamic Open-Set Targets. KDD (2022)
Jun Wu, Jingrui He, Elizabeth A. Ainsworth
Non-IID Transfer Learning on Graphs. CoRR (2022)
Jun Wu, Jingrui He
Indirect Invisible Poisoning Attacks on Domain Adaptation. KDD (2021)
Yao Zhou, Jianpeng Xu, Jun Wu, Zeinab Taghavi Nasrabadi, Evren Körpeoglu, Kannan Achan, Jingrui He
PURE: Positive-Unlabeled Recommendation with Generative Adversarial Network. KDD (2021)
Yao Zhou, Jianpeng Xu, Jun Wu, Zeinab Taghavi Nasrabadi, Evren Körpeoglu, Kannan Achan, Jingrui He
GAN-based Recommendation with Positive-Unlabeled Sampling. CoRR (2020)
Jun Wu, Jingrui He
Continuous Transfer Learning with Label-informed Distribution Alignment. CoRR (2020)
Shane Roach, Connie Ni, Alexei Kopylov, Tsai-Ching Lu, Jiejun Xu, Si Zhang, Boxin Du, Dawei Zhou, Jun Wu, Lihui Liu, Yuchen Yan, Jingrui He, Hanghang Tong
CANON: Complex Analytics of Network of Networks for Modeling Adversarial Activities. IEEE BigData (2020)
Yao Zhou, Jun Wu, Jingrui He
Robust Decentralized Learning for Neural Networks. CoRR (2020)
Jun Wu, Jingrui He, Jiejun Xu
DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification. KDD (2019)
Jun Wu, Jingrui He, Jiejun Xu
DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification. CoRR (2019)
Jun Wu, Jingrui He
Scalable Manifold-Regularized Attributed Network Embedding via Maximum Mean Discrepancy. CIKM (2019)
Jun Wu, Jingrui He, Yongming Liu
ImVerde: Vertex-Diminished Random Walk for Learning Network Representation from Imbalanced Data. CoRR (2018)
Jun Wu, Jingrui He, Yongming Liu
ImVerde: Vertex-Diminished Random Walk for Learning Imbalanced Network Representation. IEEE BigData (2018)