I am currently a research assistant professor with Department of Computing in the Hong Kong Polytechnic University. My research areas include mobile computing, AI enabled networking, multimodal learning, Internet of things. I have published 100+ papers at the top international journal and conferences with total .

I received B.E. and M.E. degrees from Zhejiang University, Hangzhou, China, supervised by Professor Aiping Huang and Professor Cunqing Hua. I received Ph.D. degree at the Department of Electrical and Computer Engineering, University of Waterloo under the supervision of Professor Xuemin(Sherman) Shen.

🔥 News

 🎉🎉 We have some open positions for PhD Students, Postdoctoral Researcher, and Research Assistant to work and have fun together on multiple research projects. Drop me an email (wenchao.xu@polyu.edu.hk) with your complete CV if you are interested. Candidates with strong backgrounds are preferred. Visiting Students/Researchers (onsite/remote) are also welcome!

📝 Selected Publications

2024

  1. ACM MM’24
    Detached and Interactive Multimodal Learning
    Yunfeng FAN, Wenchao Xu, Haozhao Wang, and 2 more authors
    In Proceedings of the 32nd ACM International Conference on Multimedia, 2024
  2. ECCV’24
    Personalized Federated Domain-Incremental Learning based on Adaptive Knowledge Matching
    Yichen Li, Wenchao Xu, Haozhao Wang, and 3 more authors
    In European Conference on Computer Vision, 2024
  3. ECCV’24
    Overcome Modal Bias in Multi-modal Federated Learning via Balanced Modality Selection
    Yunfeng Fan, Wenchao Xu, Haozhang Wang, and 3 more authors
    In European Conference on Computer Vision, 2024
  4. CVPR’24
    C2 KD: Bridging the Modality Gap for Cross-Modal Knowledge Distillation
    Fushuo Huo, Wenchao Xu, Jingcai Guo, and 2 more authors
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
  5. ICML'24
    FedBAT: Communication-efficient Federated Learning via Learnable Binarization
    Shiwei Li, Wenchao Xu, Haozhao Wang, and 7 more authors
    In Proceedings of the 40th International Conference on Machine Learning, 2024
  6. ICML'24
    Contamination-Resilient Anomaly Detection via Adversarial Learning on Partially-Observed Normal and Anomalous Data
    Wenxi Lv, Qinliang Su, Hai Wan, and 2 more authors
    In Proceedings of the 40th International Conference on Machine Learning, 2024
  7. ICML'24
    Amend to Alignment: Decoupled Prompt Tuning for Mitigating Spurious Correlation in Vision-Language Models
    Jie ZHANG, Xiaosong Ma, Song Guo, and 4 more authors
    In Proceedings of the 40th International Conference on Machine Learning, 2024
  8. INFOCOM’24
    OTAS: An Elastic Transformer Serving System via Token Adaptation
    Jinyu Chen, Wenchao Xu, Zicong Hong, and 3 more authors
    In Infocom 2024, 2024
  9. AAAI’24
    Knowledge-Aware Parameter Coaching for Personalized Federated Learning
    Mingjian Zhi, Yuanguo Bi, Wenchao Xu, and 2 more authors
    In AAAI 2024, 2024
  10. AAAI’24
    Non-Exemplar Online Class-incremental Continual Learning via Dual-prototype Self-augment and Refinement
    Fushuo Huo, Wenchao Xu, Jingcai Guo, and 2 more authors
    In AAAI 2024, 2024
  11. AAAI’24
    ProCC: Progressive Cross-primitive Compatibility for Open-World Compositional Zero-Shot Learning
    Fushuo Huo, Wenchao Xu, Song Guo, and 4 more authors
    In AAAI 2024, 2024

2023

  1. TMC’23
    Mobile Collaborative Learning over Opportunistic Internet of Vehicles
    Wenchao Xu, Haozhao Wang, Zhaoyi Lu, and 3 more authors
    IEEE Transactions on Mobile Computing, 2023
  2. ECML PKDD’23
    Decompose, Then Reconstruct: A Framework of Network Structures for Click-Through Rate Prediction
    Jiaming Li, Lang Lang, Zhenlong Zhu, and 3 more authors
    In Joint European Conference on Machine Learning and Knowledge Discovery in Databases, 2023
  3. INFOCOM’23
    AOCC-FL: Federated Learning with Aligned Overlapping via Calibrated Compensation
    Haozhao Wang, Wenchao Xu, Yunfeng Fan, and 2 more authors
    In IEEE INFOCOM 2023-IEEE Conference on Computer Communications, 2023
  4. CVPR’23
    DaFKD: Domain-aware Federated Knowledge Distillation
    Haozhao Wang, Yichen Li, Wenchao Xu, and 3 more authors
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
  5. CVPR’23
    PMR: Prototypical Modal Rebalance for Multimodal Learning
    Yunfeng Fan, Wenchao Xu, Haozhao Wang, and 2 more authors
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
  6. ICML’23
    Towards Unbiased Training in Federated Open-world Semi-supervised Learning
    Jie Zhang, Xiaosong Ma, Song Guo, and 1 more author
    In Proceedings of the 40th International Conference on Machine Learning, 2023
  7. NIPS’23
    SwapPrompt: Test-Time Prompt Adaptation for Vision-Language Models
    Xiaosong Ma, Jie Zhang, Song Guo, and 1 more author
    Advances in Neural Information Processing Systems, 2023
  8. IEEE WC’23
    Towards Multi-user Access Fairness in Reconfigurable Intelligent Surface Assisted Wireless Networks
    Jinsong Chen, Wenchao Xu, Penghui Hu, and 4 more authors
    IEEE Wireless Communications, 2023
  9. TWC’23
    Optimization-Driven DRL Based Joint Beamformer Design for IRS-Aided ITSN Against Smart Jamming Attacks
    Hao Dong, Cunqing Hua, Lingya Liu, and 2 more authors
    IEEE Transactions on Wireless Communications, 2023
  10. TMC’23
    AirCon: Over-the-air consensus for wireless blockchain networks
    Xin Xie, Cunqing Hua, Jianan Hong, and 2 more authors
    IEEE Transactions on Mobile Computing, 2023
  11. TMC’23
    RingSFL: An Adaptive Split Federated Learning Towards Taming Client Heterogeneity
    Jinglong Shen, Nan Cheng, Xiucheng Wang, and 5 more authors
    IEEE Transactions on Mobile Computing, 2023
  12. TMC’23
    Long-Term Adaptive VCG Auction Mechanism for Sustainable Federated Learning With Periodical Client Shifting
    Leijie Wu, Song Guo, Zicong Hong, and 3 more authors
    IEEE Transactions on Mobile Computing, 2023
  13. TMC’23
    Fast Packet Loss Inferring via Personalized Simulation-Reality Distillation
    Wenchao Xu, Haodong Wan, Haozhao Wang, and 4 more authors
    IEEE Transactions on Mobile Computing, 2023

2022

  1. TPDS’22
    PS+: A Simple yet Effective Framework for Fast Training on Parameter Server
    A-Long Jin, Wenchao Xu, Song Guo, and 2 more authors
    IEEE Transactions on Parallel and Distributed Systems, 2022


Full publications

🎖 Honors and Awards

  • 2023 Best Paper Award, PIMRC.
  • 2023 Best Demo Award Winner, ICCC.
  • 2020 Nobert Wiener Review Award, IEEE/CAA.
  • 2018 Best Paper Award, IEEE Globecom.
  • 2018 Ontario Research & Development Challenge Fund Bell Scholarship.

📖 Educations

  • 2014.09 - 2018.09, Ph.D., Electrical and Computer Engineering, University of Waterloo, Canada
  • 2008.09 - 2011.03, Master of Engineering, Information and Communication Engineering, Zhejiang University, China.
  • 2004.09 - 2008.06, Bachelor of Engineering, Communications Engineering, Chu Kochen Honors College, Zhejiang University, China.

💻 Mentoring

  • 2024.01 - now, Peirong Zheng, Ph.D. student at PolyU, Chief supervisor.
  • 2022.09 - now, Fushuo Huo, Ph.D. student at PolyU, Chief supervisor.
  • 2022.09 - now, Jinyu Chen, Ph.D. student at PolyU, Chief supervisor.
  • 2022.09 - now, Yunfeng Fan, Ph.D. student at PolyU, Chief supervisor.
  • 2021.09 - now, Zhaoyi Lu, Remote Ph.D. student at SJTU, Co-supervisor.
  • 2021.09 - 2022.09, Haodong Wan, Research Assistant, at PolyU, Mentoring.
  • 2021.09 - 2022.05, Hao Dong, Research Assistant, at PolyU, Mentoring.