7T MR of intracranial pathology: Preliminary observations and comparisons to 3T and 1.5T. - Emmanuel C. Obusez; Mark J. Lowe; Se-Hong Oh; Irene Wang; Jennifer Bullen; Paul Ruggieri; Virginia B. Hill; Daniel Lockwood; Todd Emch; Doksu Moon; Gareth Loy; Jonathan Lee; et al. (NeuroImage, 2018)

Reducing Impacts of System Heterogeneity in Federated Learning using Weight Update Magnitudes. - Irene Wang (CoRR, 2022)

Evaluation of gem5 for performance modeling of ARM Cortex-R based embedded SoCs. - Irene Wang; Prasenjit Chakraborty; Zi Yu Xue; Yen Fu Lin (Microprocess. Microsystems, 2022)

FLuID: Mitigating Stragglers in Federated Learning using Invariant Dropout. - Irene Wang; Prashant J. Nair; Divya Mahajan 001 (NeurIPS, 2023)

Integrated Hardware Architecture and Device Placement Search. - Irene Wang; Jakub Tarnawski; Amar Phanishayee; Divya Mahajan 001 (ICML, 2024)

CPS-TaskForge: Generating Collaborative Problem Solving Environments for Diverse Communication Tasks. - Nikita Haduong; Irene Wang; Bo-Ru Lu; Prithviraj Ammanabrolu; Noah A. Smith (CoRR, 2024)

Carbon Aware Transformers Through Joint Model-Hardware Optimization. - Irene Wang; Newsha Ardalani; Mostafa Elhoushi; Daniel Jiang; Samuel Hsia; Ekin Sumbul; Divya Mahajan 001; Carole-Jean Wu; Bilge Acun (CoRR, 2025)