Minimum Makespan Workflow Scheduling for Malleable Jobs with Precedence Constraints and Lifetime Resource Demands. - Chen Chen; Xiaodi Ke; Timothy Zeyl; Kaixiang Du; Sam Sanjabi; Shane Bergsma; Reza Pournaghi; Chong Chen (ICDCS, 2019)

Generating Complex, Realistic Cloud Workloads using Recurrent Neural Networks. - Shane Bergsma; Timothy Zeyl; Arik Senderovich; J. Christopher Beck (SOSP, 2021)

FedRL: Improving the Performance of Federated Learning with Non-IID Data. - Yufei Kang; Baochun Li; Timothy Zeyl (GLOBECOM, 2022)

C2FAR: Coarse-to-Fine Autoregressive Networks for Precise Probabilistic Forecasting. - Shane Bergsma; Timothy Zeyl; Javad Rahimipour Anaraki; Lei Guo (NeurIPS, 2022)

Pareto: Fair Congestion Control With Online Reinforcement Learning. - Salma Emara; Fei Wang 075; Baochun Li; Timothy Zeyl (IEEE Trans. Netw. Sci. Eng., 2022)

Multi-Agent Deep Reinforcement Learning for Cooperative Edge Caching via Hybrid Communication. - Fei Wang 075; Salma Emara; Isidor Kaplan; Baochun Li; Timothy Zeyl (ICC, 2023)

SutraNets: Sub-series Autoregressive Networks for Long-Sequence, Probabilistic Forecasting. - Shane Bergsma; Timothy Zeyl; Lei Guo (NeurIPS, 2023)