Irene Wang - RankMe

13 papers A* 3Journal 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	NEST: Network- and Memory-Aware Device Placement For Distributed Deep Learning. CoRR Irene Wang, Vishnu Varma Venkata, Arvind Krishnamurthy, Divya Mahajan
2025	J	`jnl`	Carbon Aware Transformers Through Joint Model-Hardware Optimization. CoRR Irene Wang, Newsha Ardalani, Mostafa Elhoushi, Daniel Jiang, Samuel Hsia, Ekin Sumbul, Divya Mahajan, Carole-Jean Wu, Bilge Acun
2025	A*	`conf`	Characterizing the Efficiency of Distributed Training: A Power, Performance, and Thermal Perspective. MICRO Seokjin Go, Joongun Park, Spandan More, Hanjiang Wu, Irene Wang, Aaron Jezghani, Tushar Krishna, Divya Mahajan
2025	J	`jnl`	Characterizing the Efficiency of Distributed Training: A Power, Performance, and Thermal Perspective. CoRR Seokjin Go, Joongun Park, Spandan More, Hanjiang Wu, Irene Wang, Aaron Jezghani, Tushar Krishna, Divya Mahajan
2025	J	`jnl`	Flashlight: PyTorch Compiler Extensions to Accelerate Attention Variants. CoRR Bozhi You, Irene Wang, Zelal Su Mustafaoglu, Abhinav Jangda, Angélica Moreira, Roshan Dathathri, Divya Mahajan, Keshav Pingali
2024	J	`jnl`	CPS-TaskForge: Generating Collaborative Problem Solving Environments for Diverse Communication Tasks. CoRR Nikita Haduong, Irene Wang, Bo-Ru Lu, Prithviraj Ammanabrolu, Noah A. Smith
2024	A*	`conf`	Integrated Hardware Architecture and Device Placement Search. ICML Irene Wang, Jakub Tarnawski, Amar Phanishayee, Divya Mahajan
2024	J	`jnl`	Integrated Hardware Architecture and Device Placement Search. CoRR Irene Wang, Jakub Tarnawski, Amar Phanishayee, Divya Mahajan
2023	A*	`conf`	FLuID: Mitigating Stragglers in Federated Learning using Invariant Dropout. NeurIPS Irene Wang, Prashant J. Nair, Divya Mahajan
2023	J	`jnl`	FLuID: Mitigating Stragglers in Federated Learning using Invariant Dropout. CoRR Irene Wang, Prashant J. Nair, Divya Mahajan
2022	J	`jnl`	Evaluation of gem5 for performance modeling of ARM Cortex-R based embedded SoCs. Microprocess. Microsystems Irene Wang, Prasenjit Chakraborty, Zi Yu Xue, Yen Fu Lin
2022	J	`jnl`	Reducing Impacts of System Heterogeneity in Federated Learning using Weight Update Magnitudes. CoRR Irene Wang
2018	J	`jnl`	7T MR of intracranial pathology: Preliminary observations and comparisons to 3T and 1.5T. NeuroImage 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, Matthew Kiczek, Manoj Massand, Volodymyr Statsevych, Todd Stultz, Stephen E. Jones