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Chenrui Wu

Ph.D. Candidate
ZJU & SFU
chenruiwu(AT)zju(DOT)edu(DOT)cn


Biography

I am a joint Ph.D. student at Zhejiang University and Simon Fraser University supervised by Prof. Jiangchuan Liu and Prof. Xian-Sheng Hua. Previously, I received my Master of Philosophy degree supervised by Dr. Fangxin Wang at the Chinese University of Hong Kong, Shenzhen. I received my Bachelor of Engineering degree from Harbin Institute of Technology. My research interests include Federated Learning, Cloud & Edge Computing and Artificial Intelligence.

Research Interests

Education

Publications

  1. TMC'25
    Towards Universal Personalization in Federated Learning via Collaborative Foundation Generative Models
    Chenrui Wu, Zexi Li, Fangxin Wang, Hongyang Chen, Jiajun Bu, Haishuai Wang
    IEEE Transactions on Mobile Computing (TMC), 2025.
    PDF

  2. AAAI'25
    Cluster based Heterogeneous Federated Foundation Model Adaptation and Fine-Tuning
    Xianda Wang*, Yaqi Qiao*, Duo Wu*, Chenrui Wu, Fangxin Wang
    The Annual AAAI Conference on Artificial Intelligence (AAAI), 2025.
    PDF

  3. MM'24
    Spatio-temporal Heterogeneous Federated Learning for Time Series Classification with Multi-view Orthogonal Training
    Chenrui Wu, Haishuai Wang, Xiang Zhang, Zhen Fang, Jiajun Bu
    ACM International Conference on Multimedia (MM), 2024.
    PDF

  4. ECCV'24
    FedTSA: A Cluster-based Two-Stage Aggregation Method for Model-heterogeneous Federated Learning
    Boyu Fan, Chenrui Wu, Xiang Su, Pan Hui
    European Conference on Computer Vision (ECCV), 2024.
    PDF

  5. TMC'24
    Multi-level Personalized Federated Learning on Heterogeneous and Long-Tailed Data
    Rongyu Zhang*, Yun Chen*, Chenrui Wu*, Fangxin Wang, Bo Li
    IEEE Transactions on Mobile Computing (TMC), 2024.
    PDF

  6. Network'23
    Optimizing Efficient Personalized Federated Learning with Hypernetworks at Edge
    Rongyu Zhang, Yun Chen, Chenrui Wu, Fangxin Wang, Jiangchuan Liu
    IEEE Network, 2023.
    PDF

  7. ICME'23
    Learning Cautiously in Federated Learning with Noisy and Heterogeneous Clients
    Chenrui Wu, Zexi Li, Fangxin Wang, Chao Wu
    IEEE International Conference on Multimedia and Expo (ICME), 2023.
    PDF Oral Presentation

  8. ICME'23
    Cluster-driven GNN-based Federated Recommendation with Biased Message Dropout
    Rongyu Zhang, Yun Chen, Chenrui Wu, Fangxin Wang
    IEEE International Conference on Multimedia and Expo (ICME), 2023.
    PDF

  9. IoTJ'23
    FedAB: Truthful Federated Learning with Auction-based Combinatorial Multi-armed Bandi
    Chenrui Wu, Yifei Zhu, Rongyu Zhang, Yun Chen, Fangxin Wang, Shuguang Cui
    IEEE Internet of Things Journal (IoTJ), 2023.
    PDF

  10. Satellite'22
    DSFL: Decentralized Satellite Federated Learning for Energy-aware LEO Constellation Computing
    Chenrui Wu, Yifei Zhu, Fangxin Wang
    IEEE International Conference on Satellite Computing (Satellite), 2022.
    PDF Oral Presentation

Services

Conference Reviewers

Journal Reviewers

Awards

Contact

Email: chenrui_wu (at) sfu (dot) ca
Email(optional): chenruiwu (at) zju (dot) edu (dot) cn


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