Data-Driven Edge Resource Provisioning for Inter-Dependent Microservices with Dynamic Load. - Ruozhou Yu; Szu-Yu Lo; Fangtong Zhou; Guoliang Xue (GLOBECOM, 2021)

FedAegis: Edge-Based Byzantine-Robust Federated Learning for Heterogeneous Data. - Fangtong Zhou; Ruozhou Yu; Zhouyu Li; Huayue Gu; Xiaojian Wang (GLOBECOM, 2022)

Why Riding the Lightning? Equilibrium Analysis for Payment Hub Pricing. - Xiaojian Wang; Huayue Gu; Zhouyu Li; Fangtong Zhou; Ruozhou Yu; Dejun Yang (ICC, 2022)

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 (FIE, 2023)

Over-the-Air Computation Assisted Hierarchical Personalized Federated Learning. - Fangtong Zhou; Zhibin Wang 003; Xiliang Luo; Yong Zhou 006 (ICC, 2023)

ESDI: Entanglement Scheduling and Distribution in the Quantum Internet. - Huayue Gu; Ruozhou Yu; Zhouyu Li; Xiaojian Wang; Fangtong Zhou (ICCCN, 2023)

INSPIRE: Instance-Level Privacy-Pre Serving Transformation for Vehicular Camera Videos. - Zhouyu Li; Ruozhou Yu; Anupam Das 001; Shaohu Zhang; Huayue Gu; Xiaojian Wang; Fangtong Zhou; Aafaq Sabir; Dilawer Ahmed; Ahsan Zafar (ICCCN, 2023)

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 (ICCCN, 2023)

Correlating Students' Class Performance Based on GitHub Metrics: A Statistical Study. - Jialin Cui; Runqiu Zhang; Ruochi Li; Yang Song 019; Fangtong Zhou; Edward F. Gehringer (ITiCSE (1), 2023)

Adaptive Transceiver Design for Wireless Hierarchical Federated Learning. - Fangtong Zhou; Xu Chen 004; Hangguan Shan; Yong Zhou 006 (VTC Fall, 2023)

FENDI: High-Fidelity Entanglement Distribution in the Quantum Internet. - Huayue Gu; Zhouyu Li; Ruozhou Yu; Xiaojian Wang; Fangtong Zhou; Jianqing Liu (CoRR, 2023)

How Much Effort Do You Need to Expend on a Technical Interview? A Study of LeetCode Problem Solving Statistics. - Jialin Cui; Runqiu Zhang; Fangtong Zhou; Ruochi Li; Yang Song 019; Edward F. Gehringer (CSEE&T, 2024)

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 (FIE, 2024)

Decentralized Satellite Federated Learning via Intra- and Inter-Orbit Communications. - Fangtong Zhou; Zhibin Wang 003; Yuanming Shi; Yong Zhou 006 (ICC Workshops, 2024)

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 019; Edward F. Gehringer (ITiCSE (1), 2024)

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 019; Edward F. Gehringer (ITiCSE (1), 2024)

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 019; Edward F. Gehringer (SIGCSE (1), 2024)

PDD: Partitioning DAG-Topology DNNs for Streaming Tasks. - Liantao Wu; Guoliang Gao; Jing Yu; Fangtong Zhou; Yang Yang 001; Tengfei Wang (IEEE Internet Things J., 2024)

Fence: Fee-Based Online Balance-Aware Routing in Payment Channel Networks. - Xiaojian Wang; Ruozhou Yu; Dejun Yang; Guoliang Xue; Huayue Gu; Zhouyu Li; Fangtong Zhou (IEEE/ACM Trans. Netw., 2024)

FENDI: Toward High-Fidelity Entanglement Distribution in the Quantum Internet. - Huayue Gu; Zhouyu Li; Ruozhou Yu; Xiaojian Wang; Fangtong Zhou; Jianqing Liu; Guoliang Xue (IEEE/ACM Trans. Netw., 2024)

Traffic Engineering in Large-scale Networks with Generalizable Graph Neural Networks. - Fangtong Zhou; Xiaorui Liu; Ruozhou Yu; Guoliang Xue (CoRR, 2025)

Moving Edge for On-Demand Edge Computing: An Uncertainty-aware Approach. - Fangtong Zhou; Ruozhou Yu (CoRR, 2025)

Over-the-Air Hierarchical Personalized Federated Learning. - Fangtong Zhou; Zhibin Wang 003; Hangguan Shan; Liantao Wu; Xiaohua Tian; Yuanming Shi; Yong Zhou 006 (IEEE Trans. Veh. Technol., 2025)

SA2FE: A Secure, Anonymous, Auditable, and Fair Edge Computing Service Offloading Framework. - Xiaojian Wang; Huayue Gu; Zhouyu Li; Fangtong Zhou; Ruozhou Yu; Dejun Yang; Guoliang Xue (CoRR, 2025)