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2020 – today
- 2024
[j1]Ruoyang Liu
, Chenhan Wei, Yixiong Yang, Wenxun Wang, Binbin Yuan, Huazhong Yang, Yongpan Liu:
A Dynamic Execution Neural Network Processor for Fine-Grained Mixed-Precision Model Training Based on Online Quantization Sensitivity Analysis. IEEE J. Solid State Circuits 59(9): 3082-3093 (2024)- 2023
- [c5]Ruoyang Liu, Chenhan Wei, Yixiong Yang, Wenxun Wang, Huazhong Yang, Yongpan Liu:
Block-Wise Dynamic-Precision Neural Network Training Acceleration via Online Quantization Sensitivity Analytics. ASP-DAC 2023: 372-377 - [c4]Yixiong Yang, Ruoyang Liu, Chenhan Wei, Wenxun Wang, Wenyu Sun, Jinshan Yue, Huazhong Yang, Yongpan Liu:
A 28nm 1.07TFLOPS/mm2 Dynamic-Precision Training Processor with Online Dynamic Execution and Multi- Level-Aligned Block-FP Processing. CICC 2023: 1-2 - [c3]Wenxun Wang, Shuchang Zhou, Wenyu Sun, Peiqin Sun, Yongpan Liu:
SOLE: Hardware-Software Co-design of Softmax and LayerNorm for Efficient Transformer Inference. ICCAD 2023: 1-9 - 2022
- [c2]Chen Tang, Wenyu Sun, Wenxun Wang, Yongpan Liu:
Dynamic CNN Accelerator Supporting Efficient Filter Generator with Kernel Enhancement and Online Channel Pruning. ASP-DAC 2022: 436-441 - [c1]Chen Tang, Wenyu Sun, Wenxun Wang, Zhuqing Yuan, Yongpan Liu:
Efficient Neural Networks with Spatial Wise Sparsity Using Unified Importance Map. ISCAS 2022: 3013-3017 - [i1]Ruoyang Liu, Chenhan Wei, Yixiong Yang, Wenxun Wang, Huazhong Yang, Yongpan Liu:
Block-Wise Dynamic-Precision Neural Network Training Acceleration via Online Quantization Sensitivity Analytics. CoRR abs/2210.17047 (2022)
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