Welcome to Fangxin Liu’s Homepage~
Fangxin (Leon) Liu is an Assistant Professor at Shanghai Jiao Tong University (SJTU), specializing in neural network acceleration (e.g., neural network compression and SW/HW co-design.), in-memory computing, and brain-inspired neuromorphic computing.
He obtained his Ph.D. Degree in Computer Science and Technology from Shanghai Jiao Tong University in 2023, under the supervision of Prof. Li Jiang.
The papers and related resources will be shared on my Github in the near future.
News
Mar./20/2024 Our “UM-PIM” Data re-layouted machnism have been accepted by ISCA 2024! Congratulations to Yilong.
Mar./18/2024 Fangxin Liu received 2023 Shanghai CCF Outstanding Dissertation Award.
Feb./27/2024 Our 2 papers have been accepted by DAC 2024! Congratulations to Ning Yang.
Dec./29/2023 The “SPARK” acceleration framework has been reported in Jiqizhixin(机器之心).
Nov./12/2023 Our paper “RTSA” has been accepted by DATE 2024! Congratulations to Jiahao.
Oct./23/2023 Our paper “SPARK” has been accepted by HPCA 2024! Congratulations to Ning Yang.
Sep./09/2023 Our 4 papers have been accepted by ASP-DAC 2023! Congratulations to Haomin, Shiyuan, Tian Li.
Aug./25/2023 Our paper “PSQ” has been accepted by ICCD 2023! Congratulations to Ning Yang.
Jul./21/2023 Our paper “HyperNode” has been accepted by ICCAD 2023! Congratulations to Haomin.
Jul./18/2023 Our paper “ERA-BS” has been accepted by TC 2023!
Feb./24/2023 Our paper “HyperAttack” has been accepted by DAC 2023!
Nov./18/2022 Our paper “SIMSnn” has been accepted by DATE 2023!
Research
Current research interests focuses on:
- Neural Network Acceleration (神经网络加速)
- In-memory Computing (存内计算)
- Brain-inspired Neuromorphic Computing (神经模态计算)