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

My research interest focuses on Mobile/Edge Computing. Specifically, I am interested in building efficient data preparation pipelines for machine learning on mobile/edge devices, including data logging, feature extraction, sample selection, model training/inference optimization.

📖 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

2025

• ACM SIGKDD'25

    A Two-Stage Data Selection Framework for Data-Efficient Model Training on Edge Devices.
  Chen Gong, Rui Xing, Zhenzhe Zheng, Fan Wu.
  Proceedings of the 31st ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD’25).
  CCF-A. Acceptance rate = 18.4% (365/1988).
  [paper | slides]

• ACM WWW'25

    Enabling Real-Time Inference in Online Continual Learning via Device-Cloud Collaboration.
  Haibo Liu, Chen Gong, Zhenzhe Zheng, Shengzhong Liu, Fan Wu.
  Proceedings of the ACM Web Conference 2025 (WWW’25).
  CCF-A. Acceptance rate = 19.8% (409/2062).
  [paper | poster]

2024

• ACM MobiCom'24

    Delta: A Cloud-assisted Data Enrichment Framework for On-Device Continual Learning.
  Chen Gong, Zhenzhe Zheng, Fan Wu, Xiaofeng Jia, Guihai Chen.
  The 30th Annual International Conference on Mobile Computing and Networking (ACM MobiCom’24).
  CCF-A. Acceptance rate = 19.0% (55/288, winter round).
  [paper | code | slides | full version]

• IEEE/ACM 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 (TON), VOL. 32, NO. 4, August 2024.
  CCF-A.
  [paper | code | appendix]

2023

• ACM 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.
  Proceedings of the ACM Web Conference 2023 (WWW’23).
  CCF-A. Acceptance rate = 19.2% (365/1900).
  [paper | code | slides | video]

• ACM 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.
  Proceedings of the 31st ACM International Conference on Multimedia (MM’23).
  CCF-A. Acceptance rate = 29.3% (902/3078).
  [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 (DASFAA).
  CCF-B.
  [paper]

🎖 Honors and Awards

• National Scholarship of China, Ministry of Education, 2024
• Outstanding Graduate Student, Shanghai Jiao Tong University (SJTU), 2022
• CCF Elite Collegiate Award, China Computer Federation (CCF), 2021

💻 Internships

• 2021.09 - 2022.09, “Federated Learning on Heterogeneous Edge Devices (异构多终端联邦学习技术)”, Huawei - Noah’s Ark Lab, Beijing, China. Excellent Completion (优秀结题).
• 2024.06 - Now, “Optimizing User Data Storage and Feature Extraction in Mobile Apps (移动应用用户数据存储、处理系统优化)”, ByteDance - App Infra - Client AI, Hangzhou, China. Work in Progress.