Wei, Gu-Yeon

8 publications

ICLR 2024 Guess & Sketch: Language Model Guided Transpilation Celine Lee, Abdulrahman Mahmoud, Michal Kurek, Simone Campanoni, David Brooks, Stephen Chong, Gu-Yeon Wei, Alexander M Rush

TMLR 2024 Tabula: Efficiently Computing Nonlinear Activation Functions for Secure Neural Network Inference Max Lam, Michael Mitzenmacher, Vijay Janapa Reddi, Gu-Yeon Wei, David Brooks

NeurIPS 2023 $s^3$: Increasing GPU Utilization During Generative Inference for Higher Throughput Yunho Jin, Chun-Feng Wu, David Brooks, Gu-Yeon Wei

NeurIPS 2023 Hardware Resilience Properties of Text-Guided Image Classifiers Syed Talal Wasim, Kabila Haile Soboka, Abdulrahman Mahmoud, Salman H Khan, David Brooks, Gu-Yeon Wei

ICMLW 2023 SpeedLimit: Neural Architecture Search for Quantized Transformer Models Yuji Chai, Luke Bailey, Yunho Jin, Glenn Ko, Matthew Karle, David Brooks, Gu-Yeon Wei, H. Kung

ICML 2021 Gradient Disaggregation: Breaking Privacy in Federated Learning by Reconstructing the User Participant Matrix Maximilian Lam, Gu-Yeon Wei, David Brooks, Vijay Janapa Reddi, Michael Mitzenmacher

CVPR 2020 Structured Compression by Weight Encryption for Unstructured Pruning and Quantization Se Jung Kwon, Dongsoo Lee, Byeongwook Kim, Parichay Kapoor, Baeseong Park, Gu-Yeon Wei

ICML 2018 Weightless: Lossy Weight Encoding for Deep Neural Network Compression Brandon Reagan, Udit Gupta, Bob Adolf, Michael Mitzenmacher, Alexander Rush, Gu-Yeon Wei, David Brooks