Reweighted Proximal Pruning for Large-Scale Language Representation. - Fu-Ming Guo; Sijia Liu 001; Finlay S. Mungall; Xue Lin 001; Yanzhi Wang (CoRR, 2019)

PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-Time Execution on Mobile Devices. - Xiaolong Ma; Fu-Ming Guo; Wei Niu 002; Xue Lin 001; Jian Tang 008; Kaisheng Ma; Bin Ren; Yanzhi Wang (AAAI, 2020)

An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices. - Xiaolong Ma; Wei Niu 002; Tianyun Zhang; Sijia Liu 001; Fu-Ming Guo; Sheng Lin 001; Hongjia Li; Xiang Chen 010; Jian Tang 008; Kaisheng Ma; Bin Ren; Yanzhi Wang (CoRR, 2020)

Algorithm to Compilation Co-design: An Integrated View of Neural Network Sparsity. - Fu-Ming Guo; Austin Huang (CoRR, 2021)

Sim2Real Docs: Domain Randomization for Documents in Natural Scenes using Ray-traced Rendering. - Nikhil Maddikunta; Huijun Zhao; Sumit Keswani; Alfy Samuel; Fu-Ming Guo; Nishan Srishankar; Vishwa Pardeshi; Austin Huang (CoRR, 2021)

Zero-Shot and Few-Shot Learning for Lung Cancer Multi-Label Classification using Vision Transformer. - Fu-Ming Guo; Yingfang Fan (CoRR, 2022)

SparseOptimizer: Sparsify Language Models through Moreau-Yosida Regularization and Accelerate through Compiler Co-design. - Fu-Ming Guo (CoRR, 2023)