Chia-Fu Lee

16.4 An 89TOPS/W and 16.3TOPS/mm² All-Digital SRAM-Based Full-Precision Compute-In Memory Macro in 22nm for Machine-Learning Edge Applications

Yu-Der Chih, Po-Hao Lee, Hidehiro Fujiwara et al. · 2021 · 308 citations

Artificial Intelligence, Engineering, Machine Learning +18

A 5-nm 254-TOPS/W 221-TOPS/mm² Fully-Digital Computing-in-Memory Macro Supporting Wide-Range Dynamic-Voltage-Frequency Scaling and Simultaneous MAC and Write Operations

Hidehiro Fujiwara, H. Mori, Wei-Chang Zhao et al. · 2022 IEEE International Solid- State Circuits Conference (ISSCC) · 2022 · 183 citations

Engineering, Vlsi Design, Emerging Memory Technology +18

5G Radio Access Network Design with the Fog Paradigm: Confluence of Communications and Computing

Yu-Jen Ku, Dian-Yu Lin, Chia-Fu Lee et al. · IEEE Communications Magazine · 2017 · 128 citations

5G Networks, Fog Networks, Wireless Communications +15

13.3 A 22nm 32Mb Embedded STT-MRAM with 10ns Read Speed, 1M Cycle Write Endurance, 10 Years Retention at 150°C and High Immunity to Magnetic Field Interference

Yu-Der Chih, Yi-Chun Shih, Chia-Fu Lee et al. · 2020 · 92 citations

Non-volatile Memory, Engineering, Emerging Memory Technology +20

A 4nm 6163-TOPS/W/b $\mathbf{4790-TOPS/mm^{2}/b}$ SRAM Based Digital-Computing-in-Memory Macro Supporting Bit-Width Flexibility and Simultaneous MAC and Weight Update

H. Mori, Wei-Chang Zhao, Cheng-En Lee et al. · 2023 · 75 citations

Engineering, Emerging Memory Technology, Computer Architecture +21