I am currently a 3rd-year Ph.D. student at Shanghai Jiao Tong University (SJTU), co-advised by Prof. Zhenzhe Zheng and Prof. Fan Wu.

My research interest focuses on mobile/edge computing. Specifically, I am interested in designing efficient and effective data utilization pipelines for resource-constrained devices to support data-efficient on-device machine learning.

📖 Educations

• 2022.09 - Now, Ph.D. Student, Department of Computer Science and Engineering, Shanghai Jiao Tong University.
• 2018.09 - 2022.06, Computer Science (IEEE Honored Class), Shanghai Jiao Tong University.

📝 Publications

• Preprint

    A Two-Stage Data Selection Framework for On-Device Model Training.
  Chen Gong, Zhenzhe Zheng, Fan Wu, Guihai Chen.
  Under Review.
  [paper]

• WWW'25

    Enabling Real-Time Inference in Online Continual Learning via Device-Cloud Collaboration.
  Haibo Liu, Chen Gong, Zhenzhe Zheng, Shengzhong Liu, Fan Wu.
  ACM International World Wide Web Conference. Acceptance rate = 19.8% (409/2062). CCF-A.
  [paper | slides]

• MobiCom'24

    Delta: A Cloud-assisted Data Enrichment Framework for On-Device Continual Learning.
  Chen Gong, Zhenzhe Zheng, Fan Wu, Xiaofeng Jia, Guihai Chen.
  ACM International Conference on Mobile Computing and Networking. Acceptance rate = 19.0% (55/288, winter round). CCF-A.
  [paper | code | slides | full version]

• TON'24

    ODE: An Online Data Selection Framework for Federated Learning in Mobile Network.
  Chen Gong, Zhenzhe Zheng, Fan Wu, Yunfeng Shao, Bingshuai Li, Guihai Chen.
  IEEE/ACM Transactions on Networking. CCF-A.
  [paper | code | appendix]

• WWW'23

    To Store or Not? Online Data Selection for Federated Learning with Limited Storage.
  Chen Gong, Zhenzhe Zheng, Fan Wu, Yunfeng Shao, Bingshuai Li, Guihai Chen.
  ACM International World Wide Web Conference. Acceptance rate = 19.2% (365/1900). CCF-A.
  [paper | code | slides | video]

• MM'23

    Fine-Grained Music Plagiarism Detection: Revealing Plagiarists through Bipartite Graph Matching and a Comprehensive Large-Scale Dataset.
  Wenxuan Liu, Tianyao He, Chen Gong, Ning Zhang, Hua Yang, Junchi Yan.
  ACM International Conference on Multimedia. Acceptance rate = 29.3% (902/3078). CCF-A.
  [paper | code ]

• DASFAA'21

    Modeling Dynamic Social Behaviors with Time-Evolving Graphs for User Behavior Predictions.
  Tianzi Zang, Yanmin Zhu, Chen Gong, Haobing Liu, Bo Li.
  International Conference on Database Systems for Advanced Applications. CCF-B.
  [paper]

🎖 Honors and Awards

• National Scholarship of China(博士国家奖学金), 2024
• Outstanding Graduate Student(本科优秀毕业生), 2022
• CCF Elite Collegiate Award(CCF优秀大学生奖), 2021

💻 Internships

• 2021.09 - 2022.09, “Federated Learning on Heterogeneous Edge Devices (面向异构多终端的联邦学习技术)”, Huawei - Noah’s Ark Lab, Beijing, China. Excellent Completion(优秀结题).
• 2024.06 - Now, “Optimizing User Data Storage and Process in Mobile Apps (终端侧用户数据存储和计算链路优化)”, ByteDance - App Infra - Client AI, Hangzhou, China. Work in Progress.