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Fu-Ming Guo
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2020 – today
- 2023
- [i7]Fu-Ming Guo:
SparseOptimizer: Sparsify Language Models through Moreau-Yosida Regularization and Accelerate through Compiler Co-design. CoRR abs/2306.15656 (2023) - 2022
- [i6]Fu-Ming Guo, Yingfang Fan:
Zero-Shot and Few-Shot Learning for Lung Cancer Multi-Label Classification using Vision Transformer. CoRR abs/2205.15290 (2022) - 2021
- [i5]Fu-Ming Guo
, Austin Huang:
Algorithm to Compilation Co-design: An Integrated View of Neural Network Sparsity. CoRR abs/2106.08846 (2021) - [i4]Nikhil Maddikunta, Huijun Zhao, Sumit Keswani, Alfy Samuel, Fu-Ming Guo, Nishan Srishankar, Vishwa Pardeshi, Austin Huang:
Sim2Real Docs: Domain Randomization for Documents in Natural Scenes using Ray-traced Rendering. CoRR abs/2112.09220 (2021) - 2020
- [c1]Xiaolong Ma, Fu-Ming Guo, Wei Niu
, Xue Lin, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang:
PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-Time Execution on Mobile Devices. AAAI 2020: 5117-5124 - [i3]Xiaolong Ma, Wei Niu, Tianyun Zhang, Sijia Liu, Fu-Ming Guo, Sheng Lin, Hongjia Li, Xiang Chen, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang:
An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices. CoRR abs/2001.07710 (2020)
2010 – 2019
- 2019
- [i2]Xiaolong Ma, Fu-Ming Guo
, Wei Niu, Xue Lin, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang:
PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-time Execution on Mobile Devices. CoRR abs/1909.05073 (2019) - [i1]Fu-Ming Guo
, Sijia Liu, Finlay S. Mungall, Xue Lin, Yanzhi Wang:
Reweighted Proximal Pruning for Large-Scale Language Representation. CoRR abs/1909.12486 (2019)
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