Fair caching networks. - Yuezhou Liu; Yuanyuan Li; Qian Ma 002; Stratis Ioannidis; Edmund Yeh (Perform. Evaluation, 2020)

Joint User Association and Caching in Wireless Heterogeneous Networks with Backhaul. - Yuezhou Liu; Alireza Alizadeh; Mai Vu; Edmund Yeh (ICC, 2021)

N-DISE: NDN-based data distribution for large-scale data-intensive science. - Yuanhao Wu; Faruk V. Mutlu; Yuezhou Liu; Edmund Yeh; Ran Liu 010; Catalin Iordache; Justas Balcas; Harvey B. Newman; Raimondas Sirvinskas; Michael Lo; Sichen Song; Jason Cong; et al. (ICN, 2022)

Optimal Congestion-aware Routing and Offloading in Collaborative Edge Computing. - Jinkun Zhang; Yuezhou Liu; Edmund Yeh (WiOpt, 2022)

Result and Congestion Aware Optimal Routing and Partial Offloading in Collaborative Edge Computing. - Jinkun Zhang; Yuezhou Liu; Edmund Yeh (CoRR, 2022)

Cache-Enabled Federated Learning Systems. - Yuezhou Liu; Lili Su; Carlee Joe-Wong; Stratis Ioannidis; Edmund Yeh; Marie Siew (MobiHoc, 2023)

Experimental Design Networks: A Paradigm for Serving Heterogeneous Learners Under Networking Constraints. - Yuanyuan Li; Yuezhou Liu; Lili Su; Edmund Yeh; Stratis Ioannidis (IEEE/ACM Trans. Netw., 2023)

Delay-Optimal Forwarding and Computation Offloading for Service Chain Tasks. - Jinkun Zhang; Yuezhou Liu; Edmund Yeh (CoRR, 2024)

Fair Concurrent Training of Multiple Models in Federated Learning. - Marie Siew; Haoran Zhang; Jong-Ik Park; Yuezhou Liu; Yichen Ruan; Lili Su; Stratis Ioannidis; Edmund Yeh; Carlee Joe-Wong (CoRR, 2024)

Delay-optimal Congestion-aware Routing and Computation Offloading in Arbitrary Network. - Jinkun Zhang; Yuezhou Liu; Edmund Yeh (CoRR, 2025)