I’m currently a Ph.D. student at Shanghai Jiao Tong University (SJTU), advised by Prof. Zhenzhe Zheng(郑臻哲) and Prof. Fan Wu(吴帆).

My research interest focuses on Data-Centric Edge AI. Specifically, I am interested in building efficient data preparation/processing pipelines for on-device machine learning, including user data logging, feature computation and sample selection.

📖 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

First-Author Papers

• ACM SIGMETRICS'26

    Optimizing Storage Overhead of User Behavior Log for ML-embedded Mobile Apps.
  Chen Gong, Yan Zhuang, Zhenzhe Zheng, Yiliu Chen, Sheng Wang, Fan Wu, Guihai Chen.
  ACM International Conference on Measurement and Modeling of Computer Systems.
  CCF-B. Acceptance rate = 21.4% (24/112, Summer Round).
  [paper | slides]

• ACM/IEEE SenSys'26

    Optimizing Feature Extraction for On-Device Model Inference with User Behavior Sequences.
  Chen Gong, Zhenzhe Zheng, Yiliu Chen, Sheng Wang, Fan Wu, Guihai Chen.
  ACM/IEEE International Conference on Embedded Artificial Intelligence and Sensing Systems.
  CCF-B. Acceptance rate = 18.9% (49/258, First Round). Conditionally Accepted.

• ACM KDD'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 Conference on Knowledge Discovery and Data Mining.
  CCF-A. Acceptance rate = 18.4% (365/1988).
  [paper | slides | video | poster]

• 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.
  Proceedings of the 30th Annual International Conference on Mobile Computing and Networking.
  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.
  CCF-A.
  [paper | code | appendix]

• 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.
  CCF-A. Acceptance rate = 19.2% (365/1900).
  [paper | code | slides | video]

Other Papers

• 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 on Web Conference 2025.
  CCF-A. Acceptance rate = 19.8% (409/2062).
  [paper | poster]

• 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.
  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.
  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 (异构终端联邦学习技术)”, Huawei - Noah’s Ark Lab, Beijing, China. Excellent Completion (优秀结题).
• 2024.06 - 2025.06, “Optimizing Data Storage and Feature Extraction in Mobile Apps (移动应用日志存储和特征计算优化)”, ByteDance - App Infra - Client AI, Hangzhou, China.