Publications #

Note: ^* indicates the corresponding author. Underlined names indicate students advised by Ningxin.

Journal Papers #

Ningxin Su, Baochun Li, Bo Li. “State of the Union: Towards Reproducible Performance Evaluations in Federated Learning,” in IEEE Transactions on Knowledge and Data Engineering (TKDE), 2026.

Ningxin Su, Baochun Li. “MLOps in the Metaverse: Human-Centric Continuous Integration,” in IEEE Journal on Selected Areas in Communications (JSAC), Special issue on Human-Centric Communication and Networking for Metaverse over 5G and Beyond Networks, 2024.

Conference Papers #

Shuaijun Liu, Feiyang You, Xingwei Chen, Ningxin Su^*. “When Replanning Becomes the Bottleneck: Budgeted Replanning for Embodied Agents,” in the Proceedings of the Forty-Third International Conference on Machine Learning (ICML), Seoul, South Korea, July 6–11, 2026.

Ningxin Su, Freeman Cheng, Baochun Li. “Square: Towards Sharing Internet-Scale GPU Clouds Fairly and Efficiently,” in the Proceedings of the IEEE/ACM International Symposium on Quality of Service (IWQoS), Istanbul, Türkiye, June 29–July 2, 2026.

Zeyuan Zuo, Ningxin Su, Baochun Li, Teng Zhang. “Towards Communication-Efficient Homomorphic Encryption in Federated Learning,” in the Proceedings of the ACM Symposium on Cloud Computing (SoCC), Redmond, WA, November 20–22, 2024.

Ningxin Su, Baochun Li, Bo Li. “Democratizing the Federation in Federated Learning,” in the Proceedings of the IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS), Seoul, South Korea, September 23–25, 2024.

Sijia Chen, Ningxin Su, Baochun Li. “Calibre: Towards Fair and Accurate Personalized Federated Learning with Self-Supervised Learning,” in the Proceedings of the IEEE International Conference on Distributed Computing Systems (ICDCS), Jersey City, New Jersey, USA, July 23–26, 2024.

Sijia Chen, Ningxin Su, Baochun Li. “Relic: Federated Conditional Textual Inversion with Prototype Alignment,” in the Proceedings of the IEEE/ACM International Symposium on Quality of Service (IWQoS), Guangzhou, China, June 19–21, 2024. [Slides]

Ningxin Su, Chenghao Hu, Baochun Li, Bo Li. “Titanic: Towards Production Federated Learning with Large Language Models,” in the Proceedings of the IEEE International Conference on Computer Communications (INFOCOM), Vancouver, Canada, May 20–23, 2024. [Slides]

Baochun Li, Ningxin Su, Chen Ying, Fei Wang. “Plato: An Open-Source Research Framework for Production Federated Learning,” in the Proceedings of the ACM Turing Award Celebration Conference (TURC), Wuhan, China, July 2023.

Ningxin Su, Baochun Li, Bo Li. “Multi-Server Stable Rendezvous for the Metaverse,” in the Proceedings of the IEEE International Conference on Metaverse Computing, Networking and Applications (MetaCom), Kyoto, Japan, June 26–28, 2023 (Best Paper Award). [Slides]

Ningxin Su, Baochun Li. “Asynchronous Federated Unlearning,” in the Proceedings of the IEEE International Conference on Computer Communications (INFOCOM), New York, USA, May 17–20, 2023. [Project][Slides][Code]

Ningxin Su, Baochun Li. “How Asynchronous can Federated Learning Be?,” in the Proceedings of the IEEE/ACM International Symposium on Quality of Service (IWQoS), Virtual Conference, June 10–12, 2022. [Project][Slides] [Code]