Siping Shi

   Siping Shi

   Postdoctoral Fellow

Publications 📚

You can also find my articles on my Google Scholar profile.

* indicates equal contribution (co-first authors)

Journal articles

  1. T. Ling, S. Shi, H. Wang, C. Hu and D. Wang, "An Efficient On-Device Federated Learning System through the Interplay of Client Selection and Batch Size with Watermarked Data", in IEEE Transactions on Mobile Computing (TMC), July, 2025. [Link]
  2. C. Hu, N. Wu, S. Shi, X. Liu, B. Luo, KY. Wang, J. Jiang and D. Cheng, "PriFairFed: A Local Differentially Private Federated Learning Algorithm for Client-Level Fairness", in IEEE Transactions on Mobile Computing (TMC), May, 2025. [Link]
  3. S. Shi, Y. Guo, D. Wang, Y. Zhu and Z. Han, "Distributionally Robust Federated Learning for Network Traffic Classification with Noisy Labels", in IEEE Transactions on Mobile Computing (TMC), Sep., 2023. [Link]
  4. S. Shi, C. Hu, D. Wang, Y. Zhu and Z. Han, "Federated HD Map Updating Through Overlapping Coalition Formation Game", in IEEE Transactions on Mobile Computing (TMC), Jan., 2023. [Link]
  5. S. Shi, C. Hu, D. Wang, Y. Zhu and Z. Han, "Federated Anomaly Analytics for Local Model Poisoning Attack", in IEEE Journal of Selected Areas in Communications (JSAC), Feb., 2022. [Link]
  6. D. Wang, S. Shi, Y. Zhu and Z. Han, "Federated Analytics: Opportunities and Challenges", in IEEE Network, Jan./Feb. 2022. [Link]

Conference Papers

  1. T. Ling, S. Shi and D. Wang, "Accelerating Long Video Understanding via Compressed Scene Graph-Enabled Chain-of-Thought", in Proceedings of the 33nd ACM International Conference on Multimedia (MM), Dublin, Ireland, Oct. 27 - 31, 2024. [Link]
  2. T. Ling, S. Shi, H. Wang, C. Hu and D. Wang, "Federated Morozov Regularization for Shortcut Learning in Privacy Preserving Learning with Watermarked Image Data", in Proceedings of the 32nd ACM International Conference on Multimedia (MM), Melbourne, Australia, Oct. 28 - Nov. 1, 2024. [Link]
  3. S. Shi, C. Hu, D. Wang, Y. Zhu and Z. Han, "Distributionally Robust Federated Learning for Differentially Private Data", in Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems (ICDCS), Bologna, Italy, July 10-13, 2022. [Link]
  4. R. Lu*, S. Shi*, D. Wang, C. Hu, and B. Zhang, "Preva: Protecting Inference Privacy through Policy-based Video-frame Transformation", in Proceedings of the 7th IEEE/ACM Symposium on Edge Computing (SEC), Seattle, WA, Dec. 05-08, 2022. [Link]
  5. B. Zhang, S. Shi, D. Wang, and C. Hu, "EPC: a video analytics system with efficient edge-side privacy control", in Proceedings of the 17th ACM Workshop on Mobility in the Evolving Internet Architecture (MobiArch), Sydney, Australia, Oct. 21, 2022. [Link]