Using portable device sensors to recognize height changing modes of motion. - Mostafa Elhoushi; Jacques Georgy; Ahmed Wahdan; Michael J. Korenberg; Aboelmagd Noureldin (I2MTC, 2014)

Model of a hybrid processor executing C++ with additional quantum functions. - Mostafa Elhoushi; M. Watheq El-Kharashi; Hatem Elrefaei (Microprocess. Microsystems, 2014)

Motion Mode Recognition for Indoor Pedestrian Navigation Using Portable Devices. - Mostafa Elhoushi; Jacques Georgy; Aboelmagd Noureldin; Michael J. Korenberg (IEEE Trans. Instrum. Meas., 2016)

A Survey on Approaches of Motion Mode Recognition Using Sensors. - Mostafa Elhoushi; Jacques Georgy; Aboelmagd Noureldin; Michael J. Korenberg (IEEE Trans. Intell. Transp. Syst., 2017)

Accelerating Training using Tensor Decomposition. - Mostafa Elhoushi; Ye Henry Tian; Zihao Chen; Farhan Shafiq; Joey Yiwei Li (CoRR, 2019)

To Filter Prune, or to Layer Prune, That Is the Question. - Sara Elkerdawy; Mostafa Elhoushi; Abhineet Singh; Hong Zhang 013; Nilanjan Ray (ACCV (3), 2020)

One-Shot Layer-Wise Accuracy Approximation For Layer Pruning. - Sara Elkerdawy; Mostafa Elhoushi; Abhineet Singh; Hong Zhang 013; Nilanjan Ray (ICIP, 2020)

DeepShift: Towards Multiplication-Less Neural Networks. - Mostafa Elhoushi; Zihao Chen; Farhan Shafiq; Ye Henry Tian; Joey Yiwei Li (CVPR Workshops, 2021)

Layer Importance Estimation With Imprinting for Neural Network Quantization. - Hongyang Liu; Sara Elkerdawy; Nilanjan Ray; Mostafa Elhoushi (CVPR Workshops, 2021)

Work-in-Progress: MLGOPerf: An ML Guided Inliner to Optimize Performance. - Amir H. Ashouri; Mostafa Elhoushi; Yuzhe Hua; Xiang Wang; Muhammad Asif Manzoor; Bryan Chan; Yaoqing Gao (CASES, 2022)

Fire Together Wire Together: A Dynamic Pruning Approach with Self-Supervised Mask Prediction. - Sara Elkerdawy; Mostafa Elhoushi; Hong Zhang 013; Nilanjan Ray (CVPR, 2022)

MLGOPerf: An ML Guided Inliner to Optimize Performance. - Amir H. Ashouri; Mostafa Elhoushi; Yuzhe Hua; Xiang Wang; Muhammad Asif Manzoor; Bryan Chan; Yaoqing Gao (CoRR, 2022)

OLLA: Decreasing the Memory Usage of Neural Networks by Optimizing the Lifetime and Location of Arrays. - Benoit Steiner; Mostafa Elhoushi; Jacob Kahn; James Hegarty (CoRR, 2022)

Learning Compiler Pass Orders using Coreset and Normalized Value Prediction. - Youwei Liang; Kevin Stone; Ali Shameli; Chris Cummins; Mostafa Elhoushi; Jiadong Guo; Benoit Steiner; Xiaomeng Yang; Pengtao Xie; Hugh James Leather; Yuandong Tian (ICML, 2023)

MODeL: Memory Optimizations for Deep Learning. - Benoit Steiner; Mostafa Elhoushi; Jacob Kahn; James Hegarty (ICML, 2023)

Large Language Models for Compiler Optimization. - Chris Cummins; Volker Seeker; Dejan Grubisic; Mostafa Elhoushi; Youwei Liang; Baptiste Rozière; Jonas Gehring; Fabian Gloeckle; Kim M. Hazelwood; Gabriel Synnaeve; Hugh Leather (CoRR, 2023)

Decoding Data Quality via Synthetic Corruptions: Embedding-guided Pruning of Code Data. - Yu Yang; Aaditya K. Singh; Mostafa Elhoushi; Anas Mahmoud 002; Kushal Tirumala; Fabian Gloeckle; Baptiste Rozière; Carole-Jean Wu; Ari S. Morcos; Newsha Ardalani (CoRR, 2023)

LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding. - Mostafa Elhoushi; Akshat Shrivastava; Diana Liskovich; Basil Hosmer; Bram Wasti; Liangzhen Lai; Anas Mahmoud 002; Bilge Acun; Saurabh Agarwal; Ahmed Roman; Ahmed A Aly; Beidi Chen; et al. (ACL (1), 2024)

Sieve: Multimodal Dataset Pruning Using Image Captioning Models. - Anas Mahmoud 002; Mostafa Elhoushi; Amro Abbas; Yu Yang; Newsha Ardalani; Hugh Leather; Ari S. Morcos (CVPR, 2024)

Minuet: Accelerating 3D Sparse Convolutions on GPUs. - Jiacheng Yang; Christina Giannoula; Jun Wu; Mostafa Elhoushi; James Gleeson 001; Gennady Pekhimenko (EuroSys, 2024)

CHAI: Clustered Head Attention for Efficient LLM Inference. - Saurabh Agarwal; Bilge Acun; Basil Hosmer; Mostafa Elhoushi; Yejin Lee 010; Shivaram Venkataraman; Dimitris Papailiopoulos; Carole-Jean Wu (ICML, 2024)

AST-T5: Structure-Aware Pretraining for Code Generation and Understanding. - Linyuan Gong; Mostafa Elhoushi; Alvin Cheung (ICML, 2024)

Evaluation of LLMs on Syntax-Aware Code Fill-in-the-Middle Tasks. - Linyuan Gong; Sida Wang; Mostafa Elhoushi; Alvin Cheung (ICML, 2024)

Brevity is the soul of wit: Pruning long files for code generation. - Aaditya K. Singh; Yu Yang; Kushal Tirumala; Mostafa Elhoushi; Ari S. Morcos (CoRR, 2024)

Characterizing and Efficiently Accelerating Multimodal Generation Model Inference. - Yejin Lee 010; Anna Y. Sun; Basil Hosmer; Bilge Acun; Can Balioglu; Changhan Wang; Charles David Hernandez; Christian Puhrsch; Daniel Haziza; Driss Guessous; Francisco Massa; Jacob Kahn; et al. (CoRR, 2024)

PETAH: Parameter Efficient Task Adaptation for Hybrid Transformers in a resource-limited Context. - Maximilian Augustin; Syed Shakib Sarwar; Mostafa Elhoushi; Sai Qian Zhang; Yuecheng Li; Barbara De Salvo (CoRR, 2024)

Hardware Scaling Trends and Diminishing Returns in Large-Scale Distributed Training. - Jared Fernandez; Luca Wehrstedt; Leonid Shamis; Mostafa Elhoushi; Kalyan Saladi; Yonatan Bisk; Emma Strubell; Jacob Kahn (CoRR, 2024)

PETAH: Parameter Efficient Task Adaptation for Hybrid Transformers. - Maximilian Augustin; Syed Shakib Sarwar; Mostafa Elhoushi; Yuecheng Li; Sai Qian Zhang; Barbara De Salvo (CVPR Workshops, 2025)

Characterizing and Efficiently Accelerating Multimodal Generation Model Inference. - Yejin Lee 001; Alicia Golden; Anna Y. Sun; Basil Hosmer; Bilge Acun; Can Balioglu; Changhan Wang; Charles David Hernandez; Christian Puhrsch; Daniel Haziza; Driss Guessous; Francisco Massa; et al. (IEEE Micro, 2025)

Efficient Hardware Scaling and Diminishing Returns in Large-Scale Training of Language Models. - Jared Fernandez; Luca Wehrstedt; Leonid Shamis; Mostafa Elhoushi; Kalyan Saladi; Yonatan Bisk; Emma Strubell; Jacob Kahn (Trans. Mach. Learn. Res., 2025)

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)

Guiding Giants: Lightweight Controllers for Weighted Activation Steering in LLMs. - Amr Hegazy; Mostafa Elhoushi; Amr Al-Anwar 001 (CoRR, 2025)

Structure-Aware Fill-in-the-Middle Pretraining for Code. - Linyuan Gong; Alvin Cheung; Mostafa Elhoushi; Sida Wang (CoRR, 2025)

any4: Learned 4-bit Numeric Representation for LLMs. - Mostafa Elhoushi; Jeff Johnson (CoRR, 2025)

Demystifying Synthetic Data in LLM Pre-training: A Systematic Study of Scaling Laws, Benefits, and Pitfalls. - Feiyang Kang; Newsha Ardalani; Michael Kuchnik; Youssef Emad; Mostafa Elhoushi; Shubhabrata Sengupta; Shang-wen Li 001; Ramya Raghavendra; Ruoxi Jia 001; Carole-Jean Wu (CoRR, 2025)