| 2026 | WiOpt | FedHusky: Accelerating Hybrid Federated Learning with Client Hopping. | Fangtong Zhou, Yi Shi, Wenjing Lou, Y. Thomas Hou |
| 2024 | FIE | A Statistical Study of Female Students in a Software Engineering Class: Preparedness, Performance, and Contribution. | Jialin Cui, Runqiu Zhang, Qinjin Jia, Fangtong Zhou, Ruochi Li, Edward F. Gehringer |
| 2024 | ITiCSE | Utilizing the Constrained K-Means Algorithm and Pre-Class GitHub Contribution Statistics for Forming Student Teams. | Jialin Cui, Fangtong Zhou, Chengyuan Liu, Qinjin Jia, Yang Song, Edward F. Gehringer |
| 2024 | ITiCSE | A Comparative Analysis of GitHub Contributions Before and After An OSS Based Software Engineering Class. | Jialin Cui, Runqiu Zhang, Ruochi Li, Fangtong Zhou, Yang Song, Edward F. Gehringer |
| 2024 | SIGCSE | How Pre-class Programming Experience Influences Students' Contribution to Their Team Project: A Statistical Study. | Jialin Cui, Runqiu Zhang, Ruochi Li, Fangtong Zhou, Yang Song, Edward F. Gehringer |
| 2023 | FIE | Predicting Students' Software Engineering Class Performance with Machine Learning and Pre-Class GitHub Metrics. | Jialin Cui, Fangtong Zhou, Runqiu Zhang, Ruochi Li, Chengyuan Liu, Edward F. Gehringer |
| 2023 | ICCCN | ESDI: Entanglement Scheduling and Distribution in the Quantum Internet. | Huayue Gu, Ruozhou Yu, Zhouyu Li, Xiaojian Wang, Fangtong Zhou |
| 2023 | ICCCN | INSPIRE: Instance-Level Privacy-Pre Serving Transformation for Vehicular Camera Videos. | Zhouyu Li, Ruozhou Yu, Anupam Das, Shaohu Zhang, Huayue Gu, Xiaojian Wang, Fangtong Zhou, Aafaq Sabir, Dilawer Ahmed, Ahsan Zafar |
| 2023 | ICCCN | EA-Market: Empowering Real-Time Big Data Applications with Short-Term Edge SLA Leases. | Ruozhou Yu, Huayue Gu, Xiaojian Wang, Fangtong Zhou, Guoliang Xue, Dejun Yang |
| 2023 | ITiCSE | Correlating Students' Class Performance Based on GitHub Metrics: A Statistical Study. | Jialin Cui, Runqiu Zhang, Ruochi Li, Yang Song, Fangtong Zhou, Edward F. Gehringer |
| 2023 | VTC | Adaptive Transceiver Design for Wireless Hierarchical Federated Learning. | Fangtong Zhou, Xu Chen, Hangguan Shan, Yong Zhou |
| 2022 | GLOBECOM | FedAegis: Edge-Based Byzantine-Robust Federated Learning for Heterogeneous Data. | Fangtong Zhou, Ruozhou Yu, Zhouyu Li, Huayue Gu, Xiaojian Wang |
| 2021 | GLOBECOM | Data-Driven Edge Resource Provisioning for Inter-Dependent Microservices with Dynamic Load. | Ruozhou Yu, Szu-Yu Lo, Fangtong Zhou, Guoliang Xue |