Zhaofang Li

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 11

Top Topics

Parallel Implementation

Top Venues

IEEE Trans. Circuits Syst. II Express Briefs

Publications

Kaihang Sun, Zhaofang Li, Yanghan Zheng, Hao-Wen Kuo, Kuan-Pei Lee, Kea-Tiong Tang
An Area-Efficient Accelerator for Non-Maximum Suppression. IEEE Trans. Circuits Syst. II Express Briefs 70 (6) (2023)
Yanghan Zheng, Zhaofang Li, Kaihang Sun, Kuan-Pei Lee, Kea-Tiong Tang
A 40nm area-efficient Effective-bit-combination-based DNN accelerator with the reconfigurable multiplier. AICAS (2023)
Shih-Ting Lin, Zhaofang Li, Yu-Hsiang Cheng, Hao-Wen Kuo, Rui-Hsuan Wang, Nai-Jen Sung, Chih-Cheng Lu, Kea-Tiong Tang
LG-LSQ: Learned Gradient Linear Symmetric Quantization for Low-Precision Integer Hardware. AICAS (2023)
Liao-Chuan Chen, Zhaofang Li, Yi-Jhen Lin, Kuan-Pei Lee, Kea-Tiong Tang
A 1.93TOPS/W Deep Learning Processor with a Reconfigurable Processing Element Array Based on SRAM Access Optimization. APCCAS (2022)
Hao-Wen Kuo, Rui-Hsuan Wang, Zhaofang Li, Shih-Ting Lin, Meng-Fan Chang, Kea-Tiong Tang
A Two-stage Training Framework for Hardware Constraints of Computing-in-Memory Architecture. APCCAS (2022)
Ping-Li Huang, Chen-Han Hsu, Yu-Hsiang Cheng, Zhaofang Li, Yu-Hsuan Lin, Kea-Tiong Tang
A 104.76-TOPS/W, Spike-Based Convolutional Neural Network Accelerator with Reduced On-Chip Memory Data Flow and Operation Unit Skipping. APCCAS (2022)
Chen-Han Hsu, Yu-Hsiang Cheng, Zhaofang Li, Ping-Li Huang, Kea-Tiong Tang
A 62.45 TOPS/W Spike-Based Convolution Neural Network Accelerator with Spatiotemporal Parallel Data Flow and Sparsity Mechanism. AICAS (2022)
Chia-Yu Hsieh, Shih-Ting Lin, Zhaofang Li, Chih-Cheng Lu, Meng-Fan Chang, Kea-Tiong Tang
MARSv2: Multicore and Programmable Reconstruction Architecture SRAM CIM-Based Accelerator with Lightweight Network. AICAS (2022)
Syuan-Hao Sie, Jye-Luen Lee, Yi-Ren Chen, Zuo-Wei Yeh, Zhaofang Li, Chih-Cheng Lu, Chih-Cheng Hsieh, Meng-Fan Chang, Kea-Tiong Tang
MARS: Multimacro Architecture SRAM CIM-Based Accelerator With Co-Designed Compressed Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (5) (2022)
Shih-Ting Lin, Zhaofang Li, Yu-Hsiang Cheng, Hao-Wen Kuo, Chih-Cheng Lu, Kea-Tiong Tang
LG-LSQ: Learned Gradient Linear Symmetric Quantization. CoRR (2022)
Zhaofang Li, Qinghua Lu, Shiping Chen, Yue Liu, Xiwei Xu
A Landscape of Cryptocurrencies. IEEE ICBC (2019)