Building Efficient Deep Neural Networks With Unitary Group Convolutions. - Ritchie Zhao; Yuwei Hu; Jordan Dotzel; Christopher De Sa; Zhiru Zhang (CVPR, 2019)

Improving Neural Network Quantization without Retraining using Outlier Channel Splitting. - Ritchie Zhao; Yuwei Hu; Jordan Dotzel; Christopher De Sa; Zhiru Zhang (ICML, 2019)

Logic Synthesis Meets Machine Learning: Trading Exactness for Generalization. - Shubham Rai; Walter Lau Neto; Yukio Miyasaka; Xinpei Zhang; Mingfei Yu; Qingyang Yi; Masahiro Fujita; Guilherme B. Manske; Matheus F. Pontes; Leomar S. da Rosa; Marilton S. de Aguiar; Paulo F. Butzen; et al. (DATE, 2021)

Enabling Design Methodologies and Future Trends for Edge AI: Specialization and Co-design. - Cong Hao; Jordan Dotzel; Jinjun Xiong; Luca Benini; Zhiru Zhang; Deming Chen (CoRR, 2021)

Enabling Design Methodologies and Future Trends for Edge AI: Specialization and Codesign. - Cong Hao; Jordan Dotzel; Jinjun Xiong; Luca Benini; Zhiru Zhang; Deming Chen (IEEE Des. Test, 2021)

M4BRAM: Mixed-Precision Matrix-Matrix Multiplication in FPGA Block RAMs. - Yuzong Chen 001; Jordan Dotzel; Mohamed S. Abdelfattah (ICFPT, 2023)

FLIQS: One-Shot Mixed-Precision Floating-Point and Integer Quantization Search. - Jordan Dotzel; Gang Wu; Andrew Li; Muhammad Umar 002; Yun Ni; Mohamed S. Abdelfattah; Zhiru Zhang; Liqun Cheng; Martin G. Dixon; Norman P. Jouppi; Quoc V. Le; Sheng Li 007 (AutoML, 2024)

ShadowLLM: Predictor-based Contextual Sparsity for Large Language Models. - Yash Akhauri; Ahmed F. AbouElhamayed; Jordan Dotzel; Zhiru Zhang; Alexander M. Rush; Safeen Huda; Mohamed S. Abdelfattah (EMNLP, 2024)

Exploring the Limits of Semantic Image Compression at Micro-bits per Pixel. - Jordan Dotzel; Bahaa Kotb; James Dotzel; Mohamed S. Abdelfattah; Zhiru Zhang (Tiny Papers @ ICLR, 2024)

Learning from Students: Applying t-Distributions to Explore Accurate and Efficient Formats for LLMs. - Jordan Dotzel; Yuzong Chen 001; Bahaa Kotb; Sushma Prasad; Gang Wu; Sheng Li 007; Mohamed S. Abdelfattah; Zhiru Zhang (ICML, 2024)

Radial Networks: Dynamic Layer Routing for High-Performance Large Language Models. - Jordan Dotzel; Yash Akhauri; Ahmed S. AbouElhamayed; Carly Jiang; Mohamed S. Abdelfattah; Zhiru Zhang (CoRR, 2024)

SparAMX: Accelerating Compressed LLMs Token Generation on AMX-powered CPUs. - Ahmed F. AbouElhamayed; Jordan Dotzel; Yash Akhauri; Chi-Chih Chang; Sameh Gobriel; J. Pablo Muñoz; Vui Seng Chua; Nilesh Jain; Mohamed S. Abdelfattah (CoRR, 2025)

Semantic Compression of 3D Objects for Open and Collaborative Virtual Worlds. - Jordan Dotzel; Tony Montes; Mohamed S. Abdelfattah; Zhiru Zhang (CoRR, 2025)